Total Results
342
Promptfoo
meteoswissLocalForecast JSON comprehension — programmatic lookup slice
Pass Rate
84.8%
Passed
290
Failed
52
Errors
0
Prompts
6
Evaluation results
| json_blob | question | expectedJson | variant | fixture | family | questionId | [frontier/opus-4.8] You are given a JSON weather forecast object, as returned by a Swiss weather tool (MeteoSwiss "getLocalForecast"). Read it carefully, then answer the question using ONLY the JSON provided — do not use outside weather knowledge, and do not guess. FORECAST JSON: {{json_blob}} QUESTION: {{question}} | [frontier/gemini-3.1-pro] You are given a JSON weather forecast object, as returned by a Swiss weather tool (MeteoSwiss "getLocalForecast"). Read it carefully, then answer the question using ONLY the JSON provided — do not use outside weather knowledge, and do not guess. FORECAST JSON: {{json_blob}} QUESTION: {{question}} | [cheap/haiku-4.5] You are given a JSON weather forecast object, as returned by a Swiss weather tool (MeteoSwiss "getLocalForecast"). Read it carefully, then answer the question using ONLY the JSON provided — do not use outside weather knowledge, and do not guess. FORECAST JSON: {{json_blob}} QUESTION: {{question}} | [cheap/gemini-3.1-flash-lite] You are given a JSON weather forecast object, as returned by a Swiss weather tool (MeteoSwiss "getLocalForecast"). Read it carefully, then answer the question using ONLY the JSON provided — do not use outside weather knowledge, and do not guess. FORECAST JSON: {{json_blob}} QUESTION: {{question}} | [tiny/gpt-5-nano] You are given a JSON weather forecast object, as returned by a Swiss weather tool (MeteoSwiss "getLocalForecast"). Read it carefully, then answer the question using ONLY the JSON provided — do not use outside weather knowledge, and do not guess. FORECAST JSON: {{json_blob}} QUESTION: {{question}} | [tiny/ministral-8b] You are given a JSON weather forecast object, as returned by a Swiss weather tool (MeteoSwiss "getLocalForecast"). Read it carefully, then answer the question using ONLY the JSON provided — do not use outside weather knowledge, and do not guess. FORECAST JSON: {{json_blob}} QUESTION: {{question}} |
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{"location":{"name":"Zürich","type":"postal_code","elevation":409,"coordinates":{"lat":47.372289,"lon":8.542189}},"generated":"2026-04-06T04:00:00.000000Z","forecast":[{"date":"2026-04-06","weather":"sunny intervals, light rain in the morning","weather_icon_url":"https://www.meteoschweiz.admin.ch/static/resources/weather-symbols/14.svg","temperature":{"min":0.2,"max":18.5,"unit":"°C"},"precipitation_total_mm":0.3,"sunshine_total_minutes":383,"wind_avg_kmh":8.9,"hourly":[{"time":"2026-04-06T00:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T01:00:00+02:00","temperature_c":1.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T02:00:00+02:00","temperature_c":1,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T03:00:00+02:00","temperature_c":0.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T04:00:00+02:00","temperature_c":0.2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T05:00:00+02:00","temperature_c":0.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8},{"time":"2026-04-06T06:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":10},{"time":"2026-04-06T07:00:00+02:00","temperature_c":4,"precip_mm":0.1,"sunshine_minutes":5,"wind_kmh":12},{"time":"2026-04-06T08:00:00+02:00","temperature_c":6.5,"precip_mm":0.2,"sunshine_minutes":0,"wind_kmh":15},{"time":"2026-04-06T09:00:00+02:00","temperature_c":9,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":12},{"time":"2026-04-06T10:00:00+02:00","temperature_c":11.5,"precip_mm":0,"sunshine_minutes":45,"wind_kmh":10},{"time":"2026-04-06T11:00:00+02:00","temperature_c":13.5,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10},{"time":"2026-04-06T12:00:00+02:00","temperature_c":15,"precip_mm":0,"sunshine_minutes":60,"wind_kmh":8},{"time":"2026-04-06T13:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":58,"wind_kmh":8},{"time":"2026-04-06T14:00:00+02:00","temperature_c":17.8,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10},{"time":"2026-04-06T15:00:00+02:00","temperature_c":18.5,"precip_mm":0,"sunshine_minutes":40,"wind_kmh":12},{"time":"2026-04-06T16:00:00+02:00","temperature_c":18,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":14},{"time":"2026-04-06T17:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":13},{"time":"2026-04-06T18:00:00+02:00","temperature_c":14,"precip_mm":0,"sunshine_minutes":5,"wind_kmh":12},{"time":"2026-04-06T19:00:00+02:00","temperature_c":11,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":10},{"time":"2026-04-06T20:00:00+02:00","temperature_c":8.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8},{"time":"2026-04-06T21:00:00+02:00","temperature_c":6,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":6},{"time":"2026-04-06T22:00:00+02:00","temperature_c":4,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T23:00:00+02:00","temperature_c":2.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5}]}],"source":"MeteoSwiss Open Data"}
|
At 08:00 local time on 2026-04-06: is it raining, and what is the wind speed in km/h? Respond with ONLY a single-line strict JSON object in the exact schema given — no markdown fences, no explanation, no extra keys. Schema: {"raining": true | false, "wind_kmh": <number>}
|
{"kind":"compound","parts":[{"key":"raining","kind":"bool","value":true},{"key":"wind_kmh","kind":"number","value":15,"tolerance":0.5}]}
|
n/a
|
b-mixed-nogust
|
ms-point-cross
|
ms-point-cross
|
Output
{"raining": true, "wind_kmh": 15}
Reason
All assertions passed |
Output
Thinking: **Analyzing Weather Data**
I'm currently processing the provided weather forecast JSON. My focus is pinpointing the conditions, specifically rain and wind speed, for 08:00 on 2026-04-06. The next step is to format this extracted information into a single-line, strict JSON output.
{"raining": true, "wind_kmh": 15}
Reason
All assertions passed |
Output
{"raining": true, "wind_kmh": 15}
Reason
All assertions passed |
Output
{"raining": true, "wind_kmh": 15}
Reason
All assertions passed |
Output
{"raining": true, "wind_kmh": 15}
Reason
All assertions passed |
Output
{"raining": true, "wind_kmh": 15}
Reason
All assertions passed |
|
{"location":{"name":"Zürich","type":"postal_code","elevation":409,"coordinates":{"lat":47.372289,"lon":8.542189}},"generated":"2026-04-06T04:00:00.000000Z","forecast":[{"date":"2026-04-06","weather":"sunny intervals, light rain in the morning","weather_icon_url":"https://www.meteoschweiz.admin.ch/static/resources/weather-symbols/14.svg","temperature":{"min":0.2,"max":18.5,"unit":"°C"},"precipitation_total_mm":0.3,"sunshine_total_minutes":383,"wind_avg_kmh":8.9,"hourly":[{"time":"2026-04-06T00:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T01:00:00+02:00","temperature_c":1.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T02:00:00+02:00","temperature_c":1,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T03:00:00+02:00","temperature_c":0.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T04:00:00+02:00","temperature_c":0.2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T05:00:00+02:00","temperature_c":0.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8},{"time":"2026-04-06T06:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":10},{"time":"2026-04-06T07:00:00+02:00","temperature_c":4,"precip_mm":0.1,"sunshine_minutes":5,"wind_kmh":12},{"time":"2026-04-06T08:00:00+02:00","temperature_c":6.5,"precip_mm":0.2,"sunshine_minutes":0,"wind_kmh":15},{"time":"2026-04-06T09:00:00+02:00","temperature_c":9,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":12},{"time":"2026-04-06T10:00:00+02:00","temperature_c":11.5,"precip_mm":0,"sunshine_minutes":45,"wind_kmh":10},{"time":"2026-04-06T11:00:00+02:00","temperature_c":13.5,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10},{"time":"2026-04-06T12:00:00+02:00","temperature_c":15,"precip_mm":0,"sunshine_minutes":60,"wind_kmh":8},{"time":"2026-04-06T13:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":58,"wind_kmh":8},{"time":"2026-04-06T14:00:00+02:00","temperature_c":17.8,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10},{"time":"2026-04-06T15:00:00+02:00","temperature_c":18.5,"precip_mm":0,"sunshine_minutes":40,"wind_kmh":12},{"time":"2026-04-06T16:00:00+02:00","temperature_c":18,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":14},{"time":"2026-04-06T17:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":13},{"time":"2026-04-06T18:00:00+02:00","temperature_c":14,"precip_mm":0,"sunshine_minutes":5,"wind_kmh":12},{"time":"2026-04-06T19:00:00+02:00","temperature_c":11,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":10},{"time":"2026-04-06T20:00:00+02:00","temperature_c":8.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8},{"time":"2026-04-06T21:00:00+02:00","temperature_c":6,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":6},{"time":"2026-04-06T22:00:00+02:00","temperature_c":4,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T23:00:00+02:00","temperature_c":2.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5}]}],"source":"MeteoSwiss Open Data"}
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Which single local hour on 2026-04-06 has the most sunshine? Respond with ONLY a single-line strict JSON object in the exact schema given — no markdown fences, no explanation, no extra keys. Schema: {"hour": "HH:00"}
|
{"key":"hour","kind":"hour","value":12}
|
n/a
|
b-mixed-nogust
|
ms-argmax
|
ms-argmax-sunshine
|
Output
{"hour": "12:00"}
Reason
All assertions passed |
Output
Thinking: **Identifying Sunshine Hours**
I'm currently analyzing the weather data for April 6th, 2026. My focus is on pinpointing the precise hour that will experience the most sunshine. I'm parsing the forecast object to extract and compare the relevant metrics.
{"hour": "12:00"}
Reason
All assertions passed |
Output
{"hour": "12:00"}
Reason
All assertions passed |
Output
{"hour": "12:00"}
Reason
All assertions passed |
Output
{"hour":"12:00"}
Reason
All assertions passed |
Output
{"hour": "12:00"}
Reason
All assertions passed |
|
{"location":{"name":"Zürich","type":"postal_code","elevation":409,"coordinates":{"lat":47.372289,"lon":8.542189}},"generated":"2026-04-06T04:00:00.000000Z","forecast":[{"date":"2026-04-06","weather":"sunny intervals, light rain in the morning","weather_icon_url":"https://www.meteoschweiz.admin.ch/static/resources/weather-symbols/14.svg","temperature":{"min":0.2,"max":18.5,"unit":"°C"},"precipitation_total_mm":0.3,"sunshine_total_minutes":383,"wind_avg_kmh":8.9,"hourly":[{"time":"2026-04-06T00:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T01:00:00+02:00","temperature_c":1.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T02:00:00+02:00","temperature_c":1,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T03:00:00+02:00","temperature_c":0.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T04:00:00+02:00","temperature_c":0.2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T05:00:00+02:00","temperature_c":0.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8},{"time":"2026-04-06T06:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":10},{"time":"2026-04-06T07:00:00+02:00","temperature_c":4,"precip_mm":0.1,"sunshine_minutes":5,"wind_kmh":12},{"time":"2026-04-06T08:00:00+02:00","temperature_c":6.5,"precip_mm":0.2,"sunshine_minutes":0,"wind_kmh":15},{"time":"2026-04-06T09:00:00+02:00","temperature_c":9,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":12},{"time":"2026-04-06T10:00:00+02:00","temperature_c":11.5,"precip_mm":0,"sunshine_minutes":45,"wind_kmh":10},{"time":"2026-04-06T11:00:00+02:00","temperature_c":13.5,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10},{"time":"2026-04-06T12:00:00+02:00","temperature_c":15,"precip_mm":0,"sunshine_minutes":60,"wind_kmh":8},{"time":"2026-04-06T13:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":58,"wind_kmh":8},{"time":"2026-04-06T14:00:00+02:00","temperature_c":17.8,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10},{"time":"2026-04-06T15:00:00+02:00","temperature_c":18.5,"precip_mm":0,"sunshine_minutes":40,"wind_kmh":12},{"time":"2026-04-06T16:00:00+02:00","temperature_c":18,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":14},{"time":"2026-04-06T17:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":13},{"time":"2026-04-06T18:00:00+02:00","temperature_c":14,"precip_mm":0,"sunshine_minutes":5,"wind_kmh":12},{"time":"2026-04-06T19:00:00+02:00","temperature_c":11,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":10},{"time":"2026-04-06T20:00:00+02:00","temperature_c":8.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8},{"time":"2026-04-06T21:00:00+02:00","temperature_c":6,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":6},{"time":"2026-04-06T22:00:00+02:00","temperature_c":4,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T23:00:00+02:00","temperature_c":2.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5}]}],"source":"MeteoSwiss Open Data"}
|
Which single local hour on 2026-04-06 has the highest wind speed? Respond with ONLY a single-line strict JSON object in the exact schema given — no markdown fences, no explanation, no extra keys. Schema: {"hour": "HH:00"}
|
{"key":"hour","kind":"hour","value":8}
|
n/a
|
b-mixed-nogust
|
ms-argmax
|
ms-argmax-wind
|
Output
{"hour": "16:00"}
Reason
[wrong] expected hour 8, got "16:00" |
Output
Thinking: **Extracting Maximum Wind**
I'm currently sifting through the hourly forecast data for April 6th, 2026. My focus is pinpointing the precise hour that exhibits the absolute peak wind speed. This involves iterating through each local hour and performing a direct comparison to identify that single maximum value.
{"hour": "08:00"}
Reason
All assertions passed |
Output
{"hour": "16:00"}
Reason
[wrong] expected hour 8, got "16:00" |
Output
{"hour": "16:00"}
Reason
[wrong] expected hour 8, got "16:00" |
Output
{"hour":"16:00"}
Reason
[wrong] expected hour 8, got "16:00" |
Output
{"hour": "16:00"}
Reason
[wrong] expected hour 8, got "16:00" |
|
{"location":{"name":"Zürich","type":"postal_code","elevation":409,"coordinates":{"lat":47.372289,"lon":8.542189}},"generated":"2026-04-06T04:00:00.000000Z","forecast":[{"date":"2026-04-06","weather":"sunny intervals, light rain in the morning","weather_icon_url":"https://www.meteoschweiz.admin.ch/static/resources/weather-symbols/14.svg","temperature":{"min":0.2,"max":18.5,"unit":"°C"},"precipitation_total_mm":0.3,"sunshine_total_minutes":383,"wind_avg_kmh":8.9,"hourly":[{"time":"2026-04-06T00:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T01:00:00+02:00","temperature_c":1.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T02:00:00+02:00","temperature_c":1,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T03:00:00+02:00","temperature_c":0.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T04:00:00+02:00","temperature_c":0.2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T05:00:00+02:00","temperature_c":0.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8},{"time":"2026-04-06T06:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":10},{"time":"2026-04-06T07:00:00+02:00","temperature_c":4,"precip_mm":0.1,"sunshine_minutes":5,"wind_kmh":12},{"time":"2026-04-06T08:00:00+02:00","temperature_c":6.5,"precip_mm":0.2,"sunshine_minutes":0,"wind_kmh":15},{"time":"2026-04-06T09:00:00+02:00","temperature_c":9,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":12},{"time":"2026-04-06T10:00:00+02:00","temperature_c":11.5,"precip_mm":0,"sunshine_minutes":45,"wind_kmh":10},{"time":"2026-04-06T11:00:00+02:00","temperature_c":13.5,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10},{"time":"2026-04-06T12:00:00+02:00","temperature_c":15,"precip_mm":0,"sunshine_minutes":60,"wind_kmh":8},{"time":"2026-04-06T13:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":58,"wind_kmh":8},{"time":"2026-04-06T14:00:00+02:00","temperature_c":17.8,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10},{"time":"2026-04-06T15:00:00+02:00","temperature_c":18.5,"precip_mm":0,"sunshine_minutes":40,"wind_kmh":12},{"time":"2026-04-06T16:00:00+02:00","temperature_c":18,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":14},{"time":"2026-04-06T17:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":13},{"time":"2026-04-06T18:00:00+02:00","temperature_c":14,"precip_mm":0,"sunshine_minutes":5,"wind_kmh":12},{"time":"2026-04-06T19:00:00+02:00","temperature_c":11,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":10},{"time":"2026-04-06T20:00:00+02:00","temperature_c":8.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8},{"time":"2026-04-06T21:00:00+02:00","temperature_c":6,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":6},{"time":"2026-04-06T22:00:00+02:00","temperature_c":4,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T23:00:00+02:00","temperature_c":2.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5}]}],"source":"MeteoSwiss Open Data"}
|
At 13:00 local time on 2026-04-06: is it dry, is there any sunshine, and is it calm (wind under 10 km/h)? Respond with ONLY a single-line strict JSON object in the exact schema given — no markdown fences, no explanation, no extra keys. Schema: {"dry": true | false, "sunny": true | false, "calm": true | false}
|
{"kind":"compound","parts":[{"key":"dry","kind":"bool","value":true},{"key":"sunny","kind":"bool","value":true},{"key":"calm","kind":"bool","value":true}]}
|
n/a
|
b-mixed-nogust
|
ms-point-cross
|
ms-compound-1300
|
Output
{"dry": true, "sunny": true, "calm": true}
Reason
All assertions passed |
Output
Thinking: **Analyzing Weather Data**
I am currently parsing the provided JSON forecast to extract details for the specified date and time. My focus is on determining precipitation levels to answer whether it will be dry.
{"dry": true, "sunny": true, "calm": true}
Reason
All assertions passed |
Output
{"dry": true, "sunny": true, "calm": false}
Reason
[partial] expected true, got true; expected true, got true; expected true, got false |
Output
{"dry": true, "sunny": true, "calm": true}
Reason
All assertions passed |
Output
{"dry": true, "sunny": true, "calm": false}
Reason
[partial] expected true, got true; expected true, got true; expected true, got false |
Output
{"dry": true, "sunny": true, "calm": false}
Reason
[partial] expected true, got true; expected true, got true; expected true, got false |
|
{"location":{"name":"Zürich","type":"postal_code","elevation":409,"coordinates":{"lat":47.372289,"lon":8.542189}},"generated":"2026-04-06T04:00:00.000000Z","forecast":[{"date":"2026-04-06","weather":"sunny intervals, light rain in the morning","weather_icon_url":"https://www.meteoschweiz.admin.ch/static/resources/weather-symbols/14.svg","temperature":{"min":0.2,"max":18.5,"unit":"°C"},"precipitation_total_mm":0.3,"sunshine_total_minutes":383,"wind_avg_kmh":8.9,"hourly":[{"time":"2026-04-06T00:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T01:00:00+02:00","temperature_c":1.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T02:00:00+02:00","temperature_c":1,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T03:00:00+02:00","temperature_c":0.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T04:00:00+02:00","temperature_c":0.2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T05:00:00+02:00","temperature_c":0.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8},{"time":"2026-04-06T06:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":10},{"time":"2026-04-06T07:00:00+02:00","temperature_c":4,"precip_mm":0.1,"sunshine_minutes":5,"wind_kmh":12},{"time":"2026-04-06T08:00:00+02:00","temperature_c":6.5,"precip_mm":0.2,"sunshine_minutes":0,"wind_kmh":15},{"time":"2026-04-06T09:00:00+02:00","temperature_c":9,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":12},{"time":"2026-04-06T10:00:00+02:00","temperature_c":11.5,"precip_mm":0,"sunshine_minutes":45,"wind_kmh":10},{"time":"2026-04-06T11:00:00+02:00","temperature_c":13.5,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10},{"time":"2026-04-06T12:00:00+02:00","temperature_c":15,"precip_mm":0,"sunshine_minutes":60,"wind_kmh":8},{"time":"2026-04-06T13:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":58,"wind_kmh":8},{"time":"2026-04-06T14:00:00+02:00","temperature_c":17.8,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10},{"time":"2026-04-06T15:00:00+02:00","temperature_c":18.5,"precip_mm":0,"sunshine_minutes":40,"wind_kmh":12},{"time":"2026-04-06T16:00:00+02:00","temperature_c":18,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":14},{"time":"2026-04-06T17:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":13},{"time":"2026-04-06T18:00:00+02:00","temperature_c":14,"precip_mm":0,"sunshine_minutes":5,"wind_kmh":12},{"time":"2026-04-06T19:00:00+02:00","temperature_c":11,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":10},{"time":"2026-04-06T20:00:00+02:00","temperature_c":8.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8},{"time":"2026-04-06T21:00:00+02:00","temperature_c":6,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":6},{"time":"2026-04-06T22:00:00+02:00","temperature_c":4,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T23:00:00+02:00","temperature_c":2.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5}]}],"source":"MeteoSwiss Open Data"}
|
What is the total sunshine in minutes for 2026-04-06, and does it match summing the hourly sunshine series (allow rounding)? Respond with ONLY a single-line strict JSON object in the exact schema given — no markdown fences, no explanation, no extra keys. Schema: {"total_minutes": <number>, "matches_hourly_sum": true | false}
|
{"kind":"compound","parts":[{"key":"total_minutes","kind":"number","value":383,"tolerance":1},{"key":"matches_hourly_sum","kind":"bool","value":true}]}
|
n/a
|
b-mixed-nogust
|
ms-cross-field
|
ms-sunshine-total
|
Output
Sum of hourly: 10+5+20+45+55+60+58+55+40+20+10+5 = 383
{"total_minutes": 383, "matches_hourly_sum": true}
Reason
All assertions passed |
Output
Thinking: **Analyzing Weather Data**
I'm currently processing the weather forecast data. My focus is on extracting the total sunshine for April 6th, 2026, and then cross-referencing it with the summed hourly sunshine values to ensure accuracy. The final output will be a single-line JSON object.
{"total_minutes": 383, "matches_hourly_sum": true}
Reason
All assertions passed |
Output
{"total_minutes": 383, "matches_hourly_sum": true}
Reason
All assertions passed |
Output
{"total_minutes": 383, "matches_hourly_sum": true}
Reason
All assertions passed |
Output
{"total_minutes": 383, "matches_hourly_sum": true}
Reason
All assertions passed |
Output
{"total_minutes": 383, "matches_hourly_sum": true}
Reason
All assertions passed |
|
{"location":{"name":"Zürich","type":"postal_code","elevation":409,"coordinates":{"lat":47.372289,"lon":8.542189}},"generated":"2026-04-06T04:00:00.000000Z","forecast":[{"date":"2026-04-06","weather":"sunny intervals, light rain in the morning","weather_icon_url":"https://www.meteoschweiz.admin.ch/static/resources/weather-symbols/14.svg","temperature":{"min":0.2,"max":18.5,"unit":"°C"},"precipitation_total_mm":0.3,"sunshine_total_minutes":383,"wind_avg_kmh":8.9,"hourly":[{"time":"2026-04-06T00:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T01:00:00+02:00","temperature_c":1.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T02:00:00+02:00","temperature_c":1,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T03:00:00+02:00","temperature_c":0.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T04:00:00+02:00","temperature_c":0.2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T05:00:00+02:00","temperature_c":0.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8},{"time":"2026-04-06T06:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":10},{"time":"2026-04-06T07:00:00+02:00","temperature_c":4,"precip_mm":0.1,"sunshine_minutes":5,"wind_kmh":12},{"time":"2026-04-06T08:00:00+02:00","temperature_c":6.5,"precip_mm":0.2,"sunshine_minutes":0,"wind_kmh":15},{"time":"2026-04-06T09:00:00+02:00","temperature_c":9,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":12},{"time":"2026-04-06T10:00:00+02:00","temperature_c":11.5,"precip_mm":0,"sunshine_minutes":45,"wind_kmh":10},{"time":"2026-04-06T11:00:00+02:00","temperature_c":13.5,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10},{"time":"2026-04-06T12:00:00+02:00","temperature_c":15,"precip_mm":0,"sunshine_minutes":60,"wind_kmh":8},{"time":"2026-04-06T13:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":58,"wind_kmh":8},{"time":"2026-04-06T14:00:00+02:00","temperature_c":17.8,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10},{"time":"2026-04-06T15:00:00+02:00","temperature_c":18.5,"precip_mm":0,"sunshine_minutes":40,"wind_kmh":12},{"time":"2026-04-06T16:00:00+02:00","temperature_c":18,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":14},{"time":"2026-04-06T17:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":13},{"time":"2026-04-06T18:00:00+02:00","temperature_c":14,"precip_mm":0,"sunshine_minutes":5,"wind_kmh":12},{"time":"2026-04-06T19:00:00+02:00","temperature_c":11,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":10},{"time":"2026-04-06T20:00:00+02:00","temperature_c":8.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8},{"time":"2026-04-06T21:00:00+02:00","temperature_c":6,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":6},{"time":"2026-04-06T22:00:00+02:00","temperature_c":4,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T23:00:00+02:00","temperature_c":2.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5}]}],"source":"MeteoSwiss Open Data"}
|
Which single local hour on 2026-04-06 has the most rainfall? Respond with ONLY a single-line strict JSON object in the exact schema given — no markdown fences, no explanation, no extra keys. Schema: {"hour": "HH:00"}
|
{"key":"hour","kind":"hour","value":8}
|
n/a
|
b-mixed-nogust
|
ms-argmax
|
ms-argmax-precip
|
Output
{"hour": "08:00"}
Reason
All assertions passed |
Output
Thinking: **Finding Peak Rainfall**
I'm currently processing the weather forecast data to pinpoint the precise local hour on April 6th, 2026, that is projected to receive the maximum amount of precipitation. My focus is on extracting and comparing the rainfall figures for each individual hour within that specific day.
{"hour": "08:00"}
Reason
All assertions passed |
Output
{"hour": "08:00"}
Reason
All assertions passed |
Output
{"hour": "08:00"}
Reason
All assertions passed |
Output
{"hour":"07:00"}
Reason
[wrong] expected hour 8, got "07:00" |
Output
{"hour": "08:00"}
Reason
All assertions passed |
|
{"location":{"name":"Zürich","type":"postal_code","elevation":409,"coordinates":{"lat":47.372289,"lon":8.542189}},"generated":"2026-04-06T04:00:00.000000Z","forecast":[{"date":"2026-04-06","weather":"sunny intervals, light rain in the morning","weather_icon_url":"https://www.meteoschweiz.admin.ch/static/resources/weather-symbols/14.svg","temperature":{"min":0.2,"max":18.5,"unit":"°C"},"precipitation_total_mm":0.3,"sunshine_total_minutes":383,"wind_avg_kmh":8.9,"hourly":[{"time":"2026-04-06T00:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T01:00:00+02:00","temperature_c":1.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T02:00:00+02:00","temperature_c":1,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T03:00:00+02:00","temperature_c":0.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T04:00:00+02:00","temperature_c":0.2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T05:00:00+02:00","temperature_c":0.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8},{"time":"2026-04-06T06:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":10},{"time":"2026-04-06T07:00:00+02:00","temperature_c":4,"precip_mm":0.1,"sunshine_minutes":5,"wind_kmh":12},{"time":"2026-04-06T08:00:00+02:00","temperature_c":6.5,"precip_mm":0.2,"sunshine_minutes":0,"wind_kmh":15},{"time":"2026-04-06T09:00:00+02:00","temperature_c":9,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":12},{"time":"2026-04-06T10:00:00+02:00","temperature_c":11.5,"precip_mm":0,"sunshine_minutes":45,"wind_kmh":10},{"time":"2026-04-06T11:00:00+02:00","temperature_c":13.5,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10},{"time":"2026-04-06T12:00:00+02:00","temperature_c":15,"precip_mm":0,"sunshine_minutes":60,"wind_kmh":8},{"time":"2026-04-06T13:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":58,"wind_kmh":8},{"time":"2026-04-06T14:00:00+02:00","temperature_c":17.8,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10},{"time":"2026-04-06T15:00:00+02:00","temperature_c":18.5,"precip_mm":0,"sunshine_minutes":40,"wind_kmh":12},{"time":"2026-04-06T16:00:00+02:00","temperature_c":18,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":14},{"time":"2026-04-06T17:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":13},{"time":"2026-04-06T18:00:00+02:00","temperature_c":14,"precip_mm":0,"sunshine_minutes":5,"wind_kmh":12},{"time":"2026-04-06T19:00:00+02:00","temperature_c":11,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":10},{"time":"2026-04-06T20:00:00+02:00","temperature_c":8.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8},{"time":"2026-04-06T21:00:00+02:00","temperature_c":6,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":6},{"time":"2026-04-06T22:00:00+02:00","temperature_c":4,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T23:00:00+02:00","temperature_c":2.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5}]}],"source":"MeteoSwiss Open Data"}
|
Which single local hour on 2026-04-06 is BEST for a walk: it must be dry (0mm rain), have some sunshine (more than 0 minutes), and be calm (wind under 10 km/h)? If more than one hour qualifies, pick the one with the most sunshine. Respond with ONLY a single-line strict JSON object in the exact schema given — no markdown fences, no explanation, no extra keys. Schema: {"hour": "HH:00"}
|
{"key":"hour","kind":"hour","value":12}
|
n/a
|
b-mixed-nogust
|
ms-compound-argmax
|
ms-best-walk-hour
|
Output
Checking hours: dry (0mm), sunshine>0, wind<10.
- 12:00: precip 0, sun 60, wind 8 ✓
- 13:00: precip 0, sun 58, wind 8 ✓
- 10:00: sun 45, wind 10 ✗ (not under 10)
- 11:00: sun 55, wind 10 ✗
Best qualifying: 12:00 with 60 min sunshine.
{"hour": "12:00"}
Reason
All assertions passed |
Output
Thinking: **Analyzing Weather Data**
I'm currently sifting through the Zürich forecast for April 6th, 2026. My focus is identifying the optimal hour for a walk, specifically looking for periods with zero precipitation and ample sunshine.
**Refining Best Hour**
I've narrowed down potential walk times to 12:00 and 13:00, both meeting precipitation and wind criteria. Now, I'm applying the sunshine tie-breaker to select the absolute best hour.
{"hour": "12:00"}
Reason
All assertions passed |
Output
{"hour": "06:00"}
Reason
[wrong] expected hour 12, got "06:00" |
Output
{"hour": "12:00"}
Reason
All assertions passed |
Output
{"hour":"11:00"}
Reason
[wrong] expected hour 12, got "11:00" |
Output
{"hour": "12:00"}
Reason
All assertions passed |
|
{"location":{"name":"Zürich","type":"postal_code","elevation":409,"coordinates":{"lat":47.372289,"lon":8.542189}},"generated":"2026-04-06T04:00:00.000000Z","forecast":[{"date":"2026-04-06","weather":"sunny intervals, light rain in the morning","weather_icon_url":"https://www.meteoschweiz.admin.ch/static/resources/weather-symbols/14.svg","temperature":{"min":0.2,"max":18.5,"unit":"°C"},"precipitation_total_mm":0.3,"sunshine_total_minutes":383,"wind_avg_kmh":8.9,"hourly":[{"time":"2026-04-06T00:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T01:00:00+02:00","temperature_c":1.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T02:00:00+02:00","temperature_c":1,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T03:00:00+02:00","temperature_c":0.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T04:00:00+02:00","temperature_c":0.2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T05:00:00+02:00","temperature_c":0.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8},{"time":"2026-04-06T06:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":10},{"time":"2026-04-06T07:00:00+02:00","temperature_c":4,"precip_mm":0.1,"sunshine_minutes":5,"wind_kmh":12},{"time":"2026-04-06T08:00:00+02:00","temperature_c":6.5,"precip_mm":0.2,"sunshine_minutes":0,"wind_kmh":15},{"time":"2026-04-06T09:00:00+02:00","temperature_c":9,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":12},{"time":"2026-04-06T10:00:00+02:00","temperature_c":11.5,"precip_mm":0,"sunshine_minutes":45,"wind_kmh":10},{"time":"2026-04-06T11:00:00+02:00","temperature_c":13.5,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10},{"time":"2026-04-06T12:00:00+02:00","temperature_c":15,"precip_mm":0,"sunshine_minutes":60,"wind_kmh":8},{"time":"2026-04-06T13:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":58,"wind_kmh":8},{"time":"2026-04-06T14:00:00+02:00","temperature_c":17.8,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10},{"time":"2026-04-06T15:00:00+02:00","temperature_c":18.5,"precip_mm":0,"sunshine_minutes":40,"wind_kmh":12},{"time":"2026-04-06T16:00:00+02:00","temperature_c":18,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":14},{"time":"2026-04-06T17:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":13},{"time":"2026-04-06T18:00:00+02:00","temperature_c":14,"precip_mm":0,"sunshine_minutes":5,"wind_kmh":12},{"time":"2026-04-06T19:00:00+02:00","temperature_c":11,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":10},{"time":"2026-04-06T20:00:00+02:00","temperature_c":8.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8},{"time":"2026-04-06T21:00:00+02:00","temperature_c":6,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":6},{"time":"2026-04-06T22:00:00+02:00","temperature_c":4,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T23:00:00+02:00","temperature_c":2.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5}]}],"source":"MeteoSwiss Open Data"}
|
Is there a local hour on 2026-04-06 that is both completely dry (0mm rain) AND has wind of at least 14 km/h? If yes, give the earliest such hour; if no, say so. Respond with ONLY a single-line strict JSON object in the exact schema given — no markdown fences, no explanation, no extra keys. Schema: {"exists": true | false, "hour": "HH:00"}
|
{"kind":"compound","parts":[{"key":"exists","kind":"bool","value":true},{"key":"hour","kind":"hour","value":16}]}
|
n/a
|
b-mixed-nogust
|
ms-existence
|
ms-windy-dry-hour
|
Output
{"exists": true, "hour": "16:00"}
Reason
All assertions passed |
Output
Thinking: **Analyzing Local Hour Conditions**
I'm currently refining the logic to pinpoint a specific local hour on April 6th, 2026. The core challenge is simultaneously satisfying the criteria of zero precipitation and wind speeds exceeding 14 km/h, ensuring the earliest instance is returned in a precise JSON format.
{"exists": true, "hour": "16:00"}
Reason
All assertions passed |
Output
{"exists": true, "hour": "16:00"}
Reason
All assertions passed |
Output
{"exists": true, "hour": "16:00"}
Reason
All assertions passed |
Output
{"exists": true, "hour": "06:00"}
Reason
[partial] expected true, got true; expected hour 16, got "06:00" |
Output
{"exists": true, "hour": "16:00"}
Reason
All assertions passed |
|
{"location":{"name":"Zürich","type":"postal_code","elevation":409,"coordinates":{"lat":47.372289,"lon":8.542189}},"generated":"2026-04-06T04:00:00.000000Z","forecast":[{"date":"2026-04-06","weather":"sunny intervals, light rain in the morning","weather_icon_url":"https://www.meteoschweiz.admin.ch/static/resources/weather-symbols/14.svg","temperature":{"min":0.2,"max":18.5,"unit":"°C"},"precipitation_total_mm":0.3,"sunshine_total_minutes":383,"wind_avg_kmh":8.9,"hourly":[{"time":"2026-04-06T00:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T01:00:00+02:00","temperature_c":1.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T02:00:00+02:00","temperature_c":1,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T03:00:00+02:00","temperature_c":0.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T04:00:00+02:00","temperature_c":0.2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T05:00:00+02:00","temperature_c":0.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8},{"time":"2026-04-06T06:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":10},{"time":"2026-04-06T07:00:00+02:00","temperature_c":4,"precip_mm":0.1,"sunshine_minutes":5,"wind_kmh":12},{"time":"2026-04-06T08:00:00+02:00","temperature_c":6.5,"precip_mm":0.2,"sunshine_minutes":0,"wind_kmh":15},{"time":"2026-04-06T09:00:00+02:00","temperature_c":9,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":12},{"time":"2026-04-06T10:00:00+02:00","temperature_c":11.5,"precip_mm":0,"sunshine_minutes":45,"wind_kmh":10},{"time":"2026-04-06T11:00:00+02:00","temperature_c":13.5,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10},{"time":"2026-04-06T12:00:00+02:00","temperature_c":15,"precip_mm":0,"sunshine_minutes":60,"wind_kmh":8},{"time":"2026-04-06T13:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":58,"wind_kmh":8},{"time":"2026-04-06T14:00:00+02:00","temperature_c":17.8,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10},{"time":"2026-04-06T15:00:00+02:00","temperature_c":18.5,"precip_mm":0,"sunshine_minutes":40,"wind_kmh":12},{"time":"2026-04-06T16:00:00+02:00","temperature_c":18,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":14},{"time":"2026-04-06T17:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":13},{"time":"2026-04-06T18:00:00+02:00","temperature_c":14,"precip_mm":0,"sunshine_minutes":5,"wind_kmh":12},{"time":"2026-04-06T19:00:00+02:00","temperature_c":11,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":10},{"time":"2026-04-06T20:00:00+02:00","temperature_c":8.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8},{"time":"2026-04-06T21:00:00+02:00","temperature_c":6,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":6},{"time":"2026-04-06T22:00:00+02:00","temperature_c":4,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T23:00:00+02:00","temperature_c":2.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5}]}],"source":"MeteoSwiss Open Data"}
|
At 19:00 local time on 2026-04-06: is it dry, is there any sunshine, and is it windy (wind at or above 10 km/h)? Respond with ONLY a single-line strict JSON object in the exact schema given — no markdown fences, no explanation, no extra keys. Schema: {"dry": true | false, "sunny": true | false, "windy": true | false}
|
{"kind":"compound","parts":[{"key":"dry","kind":"bool","value":true},{"key":"sunny","kind":"bool","value":false},{"key":"windy","kind":"bool","value":true}]}
|
n/a
|
b-mixed-nogust
|
ms-point-cross
|
ms-point-1900
|
Output
{"dry": true, "sunny": false, "windy": true}
Reason
All assertions passed |
Output
Thinking: **Analyzing Weather Forecast**
I am currently processing the provided weather forecast data, focusing specifically on the conditions anticipated for April 6th, 2026, at 7 PM local time. My immediate goal is to determine if the forecast indicates dry weather for that specific period.
{"dry": true, "sunny": false, "windy": true}
Reason
All assertions passed |
Output
{"dry": true, "sunny": false, "windy": true}
Reason
All assertions passed |
Output
{"dry": true, "sunny": false, "windy": true}
Reason
All assertions passed |
Output
{"dry": true, "sunny": false, "windy": true}
Reason
All assertions passed |
Output
{"dry": true, "sunny": false, "windy": true}
Reason
All assertions passed |
|
{"location":{"name":"Zürich","type":"postal_code","elevation":409,"coordinates":{"lat":47.372289,"lon":8.542189}},"generated":"2026-04-06T04:00:00.000000Z","forecast":[{"date":"2026-04-06","weather":"sunny intervals, light rain in the morning","weather_icon_url":"https://www.meteoschweiz.admin.ch/static/resources/weather-symbols/14.svg","temperature":{"min":0.2,"max":18.5,"unit":"°C"},"precipitation_total_mm":0.3,"sunshine_total_minutes":383,"wind_avg_kmh":8.9,"hourly":[{"time":"2026-04-06T00:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T01:00:00+02:00","temperature_c":1.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T02:00:00+02:00","temperature_c":1,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T03:00:00+02:00","temperature_c":0.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T04:00:00+02:00","temperature_c":0.2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T05:00:00+02:00","temperature_c":0.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8},{"time":"2026-04-06T06:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":10},{"time":"2026-04-06T07:00:00+02:00","temperature_c":4,"precip_mm":0.1,"sunshine_minutes":5,"wind_kmh":12},{"time":"2026-04-06T08:00:00+02:00","temperature_c":6.5,"precip_mm":0.2,"sunshine_minutes":0,"wind_kmh":15},{"time":"2026-04-06T09:00:00+02:00","temperature_c":9,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":12},{"time":"2026-04-06T10:00:00+02:00","temperature_c":11.5,"precip_mm":0,"sunshine_minutes":45,"wind_kmh":10},{"time":"2026-04-06T11:00:00+02:00","temperature_c":13.5,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10},{"time":"2026-04-06T12:00:00+02:00","temperature_c":15,"precip_mm":0,"sunshine_minutes":60,"wind_kmh":8},{"time":"2026-04-06T13:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":58,"wind_kmh":8},{"time":"2026-04-06T14:00:00+02:00","temperature_c":17.8,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10},{"time":"2026-04-06T15:00:00+02:00","temperature_c":18.5,"precip_mm":0,"sunshine_minutes":40,"wind_kmh":12},{"time":"2026-04-06T16:00:00+02:00","temperature_c":18,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":14},{"time":"2026-04-06T17:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":13},{"time":"2026-04-06T18:00:00+02:00","temperature_c":14,"precip_mm":0,"sunshine_minutes":5,"wind_kmh":12},{"time":"2026-04-06T19:00:00+02:00","temperature_c":11,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":10},{"time":"2026-04-06T20:00:00+02:00","temperature_c":8.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8},{"time":"2026-04-06T21:00:00+02:00","temperature_c":6,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":6},{"time":"2026-04-06T22:00:00+02:00","temperature_c":4,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T23:00:00+02:00","temperature_c":2.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5}]}],"source":"MeteoSwiss Open Data"}
|
What is the average wind speed in km/h for 2026-04-06, and does it match averaging the hourly wind series (allow rounding)? Respond with ONLY a single-line strict JSON object in the exact schema given — no markdown fences, no explanation, no extra keys. Schema: {"avg_kmh": <number>, "matches_hourly_avg": true | false}
|
{"kind":"compound","parts":[{"key":"avg_kmh","kind":"number","value":8.9,"tolerance":0.5},{"key":"matches_hourly_avg","kind":"bool","value":true}]}
|
n/a
|
b-mixed-nogust
|
ms-cross-field
|
ms-wind-avg-check
|
Output
Sum of hourly winds: 5+5+5+5+5+8+10+12+15+12+10+10+8+8+10+12+14+13+12+10+8+6+5+5
Let me add: 5,10,15,20,25,33,43,55,70,82,92,102,110,118,128,140,154,167,179,189,197,203,208,213
213/24 = 8.875 ≈ 8.9
{"avg_kmh": 8.9, "matches_hourly_avg": true}
Reason
All assertions passed |
Output
Thinking: **Analyzing Wind Data**
I am currently processing the JSON to extract the average wind speed for the specified date. My next step is to compare this value with the calculated average of the hourly wind data, considering potential rounding differences to ensure accuracy.
{"avg_kmh": 8.9, "matches_hourly_avg": true}
Reason
All assertions passed |
Output
{"avg_kmh": 8.9, "matches_hourly_avg": true}
Reason
All assertions passed |
Output
{"avg_kmh": 8.9, "matches_hourly_avg": true}
Reason
All assertions passed |
Output
{"avg_kmh": 9.0, "matches_hourly_avg": true}
Reason
All assertions passed |
Output
{"avg_kmh": 8.9, "matches_hourly_avg": true}
Reason
All assertions passed |
|
{"location":{"name":"Zürich","type":"postal_code","elevation":409,"coordinates":{"lat":47.372289,"lon":8.542189}},"generated":"2026-04-06T04:00:00.000000Z","forecast":[{"date":"2026-04-06","weather":"sunny intervals, light rain in the morning","weather_icon_url":"https://www.meteoschweiz.admin.ch/static/resources/weather-symbols/14.svg","temperature":{"min":0.2,"max":18.5,"unit":"°C"},"precipitation_total_mm":0.3,"sunshine_total_minutes":383,"wind_avg_kmh":8.9,"hourly":[{"time":"2026-04-06T00:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T01:00:00+02:00","temperature_c":1.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T02:00:00+02:00","temperature_c":1,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T03:00:00+02:00","temperature_c":0.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T04:00:00+02:00","temperature_c":0.2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T05:00:00+02:00","temperature_c":0.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8},{"time":"2026-04-06T06:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":10},{"time":"2026-04-06T07:00:00+02:00","temperature_c":4,"precip_mm":0.1,"sunshine_minutes":5,"wind_kmh":12},{"time":"2026-04-06T08:00:00+02:00","temperature_c":6.5,"precip_mm":0.2,"sunshine_minutes":0,"wind_kmh":15},{"time":"2026-04-06T09:00:00+02:00","temperature_c":9,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":12},{"time":"2026-04-06T10:00:00+02:00","temperature_c":11.5,"precip_mm":0,"sunshine_minutes":45,"wind_kmh":10},{"time":"2026-04-06T11:00:00+02:00","temperature_c":13.5,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10},{"time":"2026-04-06T12:00:00+02:00","temperature_c":15,"precip_mm":0,"sunshine_minutes":60,"wind_kmh":8},{"time":"2026-04-06T13:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":58,"wind_kmh":8},{"time":"2026-04-06T14:00:00+02:00","temperature_c":17.8,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10},{"time":"2026-04-06T15:00:00+02:00","temperature_c":18.5,"precip_mm":0,"sunshine_minutes":40,"wind_kmh":12},{"time":"2026-04-06T16:00:00+02:00","temperature_c":18,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":14},{"time":"2026-04-06T17:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":13},{"time":"2026-04-06T18:00:00+02:00","temperature_c":14,"precip_mm":0,"sunshine_minutes":5,"wind_kmh":12},{"time":"2026-04-06T19:00:00+02:00","temperature_c":11,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":10},{"time":"2026-04-06T20:00:00+02:00","temperature_c":8.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8},{"time":"2026-04-06T21:00:00+02:00","temperature_c":6,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":6},{"time":"2026-04-06T22:00:00+02:00","temperature_c":4,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T23:00:00+02:00","temperature_c":2.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5}]}],"source":"MeteoSwiss Open Data"}
|
What is the total precipitation in mm for 2026-04-06, and does it match summing the hourly precipitation series (allow rounding)? Respond with ONLY a single-line strict JSON object in the exact schema given — no markdown fences, no explanation, no extra keys. Schema: {"total_mm": <number>, "matches_hourly_sum": true | false}
|
{"kind":"compound","parts":[{"key":"total_mm","kind":"number","value":0.3,"tolerance":0.05},{"key":"matches_hourly_sum","kind":"bool","value":true}]}
|
n/a
|
b-mixed-nogust
|
ms-cross-field
|
ms-precip-total-check
|
Output
{"total_mm": 0.3, "matches_hourly_sum": true}
Reason
All assertions passed |
Output
Thinking: **Validating Daily Totals**
I'm currently verifying the daily precipitation totals against the sum of hourly values for April 6th, 2026. My focus is on ensuring these aggregated figures align precisely as expected within the forecast data.
{"total_mm": 0.3, "matches_hourly_sum": true}
Reason
All assertions passed |
Output
{"total_mm": 0.3, "matches_hourly_sum": true}
Reason
All assertions passed |
Output
{"total_mm": 0.3, "matches_hourly_sum": true}
Reason
All assertions passed |
Output
{"total_mm":0.3,"matches_hourly_sum":true}
Reason
All assertions passed |
Output
{"total_mm": 0.3, "matches_hourly_sum": true}
Reason
All assertions passed |
|
{"location":{"name":"Zürich","type":"postal_code","elevation":409,"coordinates":{"lat":47.372289,"lon":8.542189}},"generated":"2026-04-06T04:00:00.000000Z","forecast":[{"date":"2026-04-06","weather":"sunny intervals, light rain in the morning","weather_icon_url":"https://www.meteoschweiz.admin.ch/static/resources/weather-symbols/14.svg","temperature":{"min":0.2,"max":18.5,"unit":"°C"},"precipitation_total_mm":0.3,"sunshine_total_minutes":383,"wind_avg_kmh":8.9,"hourly":[{"time":"2026-04-06T00:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T01:00:00+02:00","temperature_c":1.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T02:00:00+02:00","temperature_c":1,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T03:00:00+02:00","temperature_c":0.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T04:00:00+02:00","temperature_c":0.2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T05:00:00+02:00","temperature_c":0.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8},{"time":"2026-04-06T06:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":10},{"time":"2026-04-06T07:00:00+02:00","temperature_c":4,"precip_mm":0.1,"sunshine_minutes":5,"wind_kmh":12},{"time":"2026-04-06T08:00:00+02:00","temperature_c":6.5,"precip_mm":0.2,"sunshine_minutes":0,"wind_kmh":15},{"time":"2026-04-06T09:00:00+02:00","temperature_c":9,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":12},{"time":"2026-04-06T10:00:00+02:00","temperature_c":11.5,"precip_mm":0,"sunshine_minutes":45,"wind_kmh":10},{"time":"2026-04-06T11:00:00+02:00","temperature_c":13.5,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10},{"time":"2026-04-06T12:00:00+02:00","temperature_c":15,"precip_mm":0,"sunshine_minutes":60,"wind_kmh":8},{"time":"2026-04-06T13:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":58,"wind_kmh":8},{"time":"2026-04-06T14:00:00+02:00","temperature_c":17.8,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10},{"time":"2026-04-06T15:00:00+02:00","temperature_c":18.5,"precip_mm":0,"sunshine_minutes":40,"wind_kmh":12},{"time":"2026-04-06T16:00:00+02:00","temperature_c":18,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":14},{"time":"2026-04-06T17:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":13},{"time":"2026-04-06T18:00:00+02:00","temperature_c":14,"precip_mm":0,"sunshine_minutes":5,"wind_kmh":12},{"time":"2026-04-06T19:00:00+02:00","temperature_c":11,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":10},{"time":"2026-04-06T20:00:00+02:00","temperature_c":8.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8},{"time":"2026-04-06T21:00:00+02:00","temperature_c":6,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":6},{"time":"2026-04-06T22:00:00+02:00","temperature_c":4,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T23:00:00+02:00","temperature_c":2.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5}]}],"source":"MeteoSwiss Open Data"}
|
Which single local hour on 2026-04-06 has the highest temperature? Respond with ONLY a single-line strict JSON object in the exact schema given — no markdown fences, no explanation, no extra keys. Schema: {"hour": "HH:00"}
|
{"key":"hour","kind":"hour","value":15}
|
n/a
|
b-mixed-nogust
|
ms-argmax
|
ms-argmax-temp
|
Output
{"hour": "15:00"}
Reason
All assertions passed |
Output
Thinking: **Identifying Peak Temperature**
My focus has been on parsing the provided weather forecast data. I am currently isolating the specific day, April 6th, 2026, and within that timeframe, I am pinpointing the single local hour that registers the maximum temperature. The goal is a precise JSON output.
{"hour": "15:00"}
Reason
All assertions passed |
Output
{"hour": "15:00"}
Reason
All assertions passed |
Output
{"hour": "15:00"}
Reason
All assertions passed |
Output
{"hour":"15:00"}
Reason
All assertions passed |
Output
{"hour": "15:00"}
Reason
All assertions passed |
|
{"location":{"name":"Zürich","type":"postal_code","elevation":409,"coordinates":{"lat":47.372289,"lon":8.542189}},"generated":"2026-04-06T04:00:00.000000Z","forecast":[{"date":"2026-04-06","weather":"sunny intervals, light rain in the morning","weather_icon_url":"https://www.meteoschweiz.admin.ch/static/resources/weather-symbols/14.svg","temperature":{"min":0.2,"max":18.5,"unit":"°C"},"precipitation_total_mm":0.3,"sunshine_total_minutes":383,"wind_avg_kmh":8.9,"hourly":[{"time":"2026-04-06T00:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T01:00:00+02:00","temperature_c":1.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T02:00:00+02:00","temperature_c":1,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T03:00:00+02:00","temperature_c":0.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T04:00:00+02:00","temperature_c":0.2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T05:00:00+02:00","temperature_c":0.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8},{"time":"2026-04-06T06:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":10},{"time":"2026-04-06T07:00:00+02:00","temperature_c":4,"precip_mm":0.1,"sunshine_minutes":5,"wind_kmh":12},{"time":"2026-04-06T08:00:00+02:00","temperature_c":6.5,"precip_mm":0.2,"sunshine_minutes":0,"wind_kmh":15},{"time":"2026-04-06T09:00:00+02:00","temperature_c":9,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":12},{"time":"2026-04-06T10:00:00+02:00","temperature_c":11.5,"precip_mm":0,"sunshine_minutes":45,"wind_kmh":10},{"time":"2026-04-06T11:00:00+02:00","temperature_c":13.5,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10},{"time":"2026-04-06T12:00:00+02:00","temperature_c":15,"precip_mm":0,"sunshine_minutes":60,"wind_kmh":8},{"time":"2026-04-06T13:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":58,"wind_kmh":8},{"time":"2026-04-06T14:00:00+02:00","temperature_c":17.8,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10},{"time":"2026-04-06T15:00:00+02:00","temperature_c":18.5,"precip_mm":0,"sunshine_minutes":40,"wind_kmh":12},{"time":"2026-04-06T16:00:00+02:00","temperature_c":18,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":14},{"time":"2026-04-06T17:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":13},{"time":"2026-04-06T18:00:00+02:00","temperature_c":14,"precip_mm":0,"sunshine_minutes":5,"wind_kmh":12},{"time":"2026-04-06T19:00:00+02:00","temperature_c":11,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":10},{"time":"2026-04-06T20:00:00+02:00","temperature_c":8.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8},{"time":"2026-04-06T21:00:00+02:00","temperature_c":6,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":6},{"time":"2026-04-06T22:00:00+02:00","temperature_c":4,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T23:00:00+02:00","temperature_c":2.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5}]}],"source":"MeteoSwiss Open Data"}
|
What is the maximum temperature in °C for 2026-04-06, and does it match the highest reading in the hourly temperature series (allow rounding)? Respond with ONLY a single-line strict JSON object in the exact schema given — no markdown fences, no explanation, no extra keys. Schema: {"max_c": <number>, "matches_hourly_max": true | false}
|
{"kind":"compound","parts":[{"key":"max_c","kind":"number","value":18.5,"tolerance":0.5},{"key":"matches_hourly_max","kind":"bool","value":true}]}
|
n/a
|
b-mixed-nogust
|
ms-cross-field
|
ms-temp-max-check
|
Output
{"max_c": 18.5, "matches_hourly_max": true}
Reason
All assertions passed |
Output
Thinking: **Analyzing Weather Data**
I'm currently processing the JSON forecast data. My focus is on extracting the maximum temperature for April 6th, 2026, and then cross-referencing it against the highest hourly temperature reading, accounting for any potential rounding discrepancies to ensure accuracy.
**Comparing Temperatures**
I've successfully extracted the maximum forecast temperature for the target date and identified the peak hourly reading. Now, I'm directly comparing these values, confirming if the forecast max aligns with the highest recorded hourly temperature.
{"max_c": 18.5, "matches_hourly_max": true}
Reason
All assertions passed |
Output
{"max_c": 18.5, "matches_hourly_max": true}
Reason
All assertions passed |
Output
{"max_c": 18.5, "matches_hourly_max": true}
Reason
All assertions passed |
Output
{"max_c": 18.5, "matches_hourly_max": true}
Reason
All assertions passed |
Output
{"max_c": 18.5, "matches_hourly_max": true}
Reason
All assertions passed |
|
{"location":{"name":"Zürich","type":"postal_code","elevation":409,"coordinates":{"lat":47.372289,"lon":8.542189}},"generated":"2026-04-06T04:00:00.000000Z","forecast":[{"date":"2026-04-06","weather":"sunny intervals, light rain in the morning","weather_icon_url":"https://www.meteoschweiz.admin.ch/static/resources/weather-symbols/14.svg","temperature":{"min":0.2,"max":18.5,"unit":"°C"},"precipitation_total_mm":0.3,"sunshine_total_minutes":383,"wind_avg_kmh":8.9,"hourly":[{"time":"2026-04-06T00:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T01:00:00+02:00","temperature_c":1.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T02:00:00+02:00","temperature_c":1,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T03:00:00+02:00","temperature_c":0.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T04:00:00+02:00","temperature_c":0.2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T05:00:00+02:00","temperature_c":0.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8},{"time":"2026-04-06T06:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":10},{"time":"2026-04-06T07:00:00+02:00","temperature_c":4,"precip_mm":0.1,"sunshine_minutes":5,"wind_kmh":12},{"time":"2026-04-06T08:00:00+02:00","temperature_c":6.5,"precip_mm":0.2,"sunshine_minutes":0,"wind_kmh":15},{"time":"2026-04-06T09:00:00+02:00","temperature_c":9,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":12},{"time":"2026-04-06T10:00:00+02:00","temperature_c":11.5,"precip_mm":0,"sunshine_minutes":45,"wind_kmh":10},{"time":"2026-04-06T11:00:00+02:00","temperature_c":13.5,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10},{"time":"2026-04-06T12:00:00+02:00","temperature_c":15,"precip_mm":0,"sunshine_minutes":60,"wind_kmh":8},{"time":"2026-04-06T13:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":58,"wind_kmh":8},{"time":"2026-04-06T14:00:00+02:00","temperature_c":17.8,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10},{"time":"2026-04-06T15:00:00+02:00","temperature_c":18.5,"precip_mm":0,"sunshine_minutes":40,"wind_kmh":12},{"time":"2026-04-06T16:00:00+02:00","temperature_c":18,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":14},{"time":"2026-04-06T17:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":13},{"time":"2026-04-06T18:00:00+02:00","temperature_c":14,"precip_mm":0,"sunshine_minutes":5,"wind_kmh":12},{"time":"2026-04-06T19:00:00+02:00","temperature_c":11,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":10},{"time":"2026-04-06T20:00:00+02:00","temperature_c":8.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8},{"time":"2026-04-06T21:00:00+02:00","temperature_c":6,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":6},{"time":"2026-04-06T22:00:00+02:00","temperature_c":4,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T23:00:00+02:00","temperature_c":2.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5}]}],"source":"MeteoSwiss Open Data"}
|
What is the peak wind gust speed in km/h on 2026-04-06? If gust data is not present in this data, say so explicitly instead of guessing a number. Respond with ONLY a single-line strict JSON object in the exact schema given — no markdown fences, no explanation, no extra keys. Schema: {"gust_available": true, "gust_kmh": <number>} or {"gust_available": false}
|
{"key":"gust_available","kind":"unavailable"}
|
n/a
|
b-mixed-nogust
|
null-handling
|
ms-gust-unavailable
|
Output
{"gust_available": false}
Reason
All assertions passed |
Output
Thinking: **Analyzing Weather Data**
I am currently processing the provided weather forecast JSON. My focus is on extracting the highest wind gust speed specifically for April 6th, 2026, ensuring all calculations are derived solely from the given data.
{"gust_available": false}
Reason
All assertions passed |
Output
{"gust_available": false}
Reason
All assertions passed |
Output
{"gust_available": false}
Reason
All assertions passed |
Output
{"gust_available": false}
Reason
All assertions passed |
Output
{"gust_available": false}
Reason
All assertions passed |
|
{"location":{"name":"Zürich","type":"postal_code","elevation":409,"coordinates":{"lat":47.372289,"lon":8.542189}},"generated":"2026-04-06T04:00:00.000000Z","forecast":[{"date":"2026-04-06","weather":"sunny intervals, light rain in the morning","weather_icon_url":"https://www.meteoschweiz.admin.ch/static/resources/weather-symbols/14.svg","temperature":{"min":0.2,"max":18.5,"unit":"°C"},"precipitation_total_mm":0.3,"sunshine_total_minutes":383,"wind_avg_kmh":8.9,"wind_gust_max_kmh":35,"hourly":[{"time":"2026-04-06T00:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T01:00:00+02:00","temperature_c":1.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T02:00:00+02:00","temperature_c":1,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T03:00:00+02:00","temperature_c":0.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T04:00:00+02:00","temperature_c":0.2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T05:00:00+02:00","temperature_c":0.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8,"wind_gust_kmh":12},{"time":"2026-04-06T06:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T07:00:00+02:00","temperature_c":4,"precip_mm":0.1,"sunshine_minutes":5,"wind_kmh":12,"wind_gust_kmh":18},{"time":"2026-04-06T08:00:00+02:00","temperature_c":6.5,"precip_mm":0.2,"sunshine_minutes":0,"wind_kmh":15,"wind_gust_kmh":22},{"time":"2026-04-06T09:00:00+02:00","temperature_c":9,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":12,"wind_gust_kmh":35},{"time":"2026-04-06T10:00:00+02:00","temperature_c":11.5,"precip_mm":0,"sunshine_minutes":45,"wind_kmh":10,"wind_gust_kmh":16},{"time":"2026-04-06T11:00:00+02:00","temperature_c":13.5,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T12:00:00+02:00","temperature_c":15,"precip_mm":0,"sunshine_minutes":60,"wind_kmh":8,"wind_gust_kmh":13},{"time":"2026-04-06T13:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":58,"wind_kmh":8,"wind_gust_kmh":13},{"time":"2026-04-06T14:00:00+02:00","temperature_c":17.8,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10,"wind_gust_kmh":16},{"time":"2026-04-06T15:00:00+02:00","temperature_c":18.5,"precip_mm":0,"sunshine_minutes":40,"wind_kmh":12,"wind_gust_kmh":19},{"time":"2026-04-06T16:00:00+02:00","temperature_c":18,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":14,"wind_gust_kmh":21},{"time":"2026-04-06T17:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":13,"wind_gust_kmh":20},{"time":"2026-04-06T18:00:00+02:00","temperature_c":14,"precip_mm":0,"sunshine_minutes":5,"wind_kmh":12,"wind_gust_kmh":18},{"time":"2026-04-06T19:00:00+02:00","temperature_c":11,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T20:00:00+02:00","temperature_c":8.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8,"wind_gust_kmh":12},{"time":"2026-04-06T21:00:00+02:00","temperature_c":6,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":6,"wind_gust_kmh":9},{"time":"2026-04-06T22:00:00+02:00","temperature_c":4,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T23:00:00+02:00","temperature_c":2.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8}]}],"source":"MeteoSwiss Open Data"}
|
At 08:00 local time on 2026-04-06: is it raining, and what is the wind speed in km/h? Respond with ONLY a single-line strict JSON object in the exact schema given — no markdown fences, no explanation, no extra keys. Schema: {"raining": true | false, "wind_kmh": <number>}
|
{"kind":"compound","parts":[{"key":"raining","kind":"bool","value":true},{"key":"wind_kmh","kind":"number","value":15,"tolerance":0.5}]}
|
n/a
|
b-mixed-gust
|
ms-point-cross
|
ms-point-cross
|
Output
{"raining": true, "wind_kmh": 15}
Reason
All assertions passed |
Output
Thinking: **Determining Forecast Data**
I'm currently focused on extracting specific details from the provided weather forecast data. My objective is to pinpoint the conditions at 08:00 on April 6th, 2026, specifically identifying any precipitation and the associated wind speed.
{"raining": true, "wind_kmh": 15}
Reason
All assertions passed |
Output
{"raining": true, "wind_kmh": 15}
Reason
All assertions passed |
Output
{"raining": true, "wind_kmh": 15}
Reason
All assertions passed |
Output
{"raining": true, "wind_kmh": 15}
Reason
All assertions passed |
Output
{"raining": true, "wind_kmh": 15}
Reason
All assertions passed |
|
{"location":{"name":"Zürich","type":"postal_code","elevation":409,"coordinates":{"lat":47.372289,"lon":8.542189}},"generated":"2026-04-06T04:00:00.000000Z","forecast":[{"date":"2026-04-06","weather":"sunny intervals, light rain in the morning","weather_icon_url":"https://www.meteoschweiz.admin.ch/static/resources/weather-symbols/14.svg","temperature":{"min":0.2,"max":18.5,"unit":"°C"},"precipitation_total_mm":0.3,"sunshine_total_minutes":383,"wind_avg_kmh":8.9,"wind_gust_max_kmh":35,"hourly":[{"time":"2026-04-06T00:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T01:00:00+02:00","temperature_c":1.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T02:00:00+02:00","temperature_c":1,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T03:00:00+02:00","temperature_c":0.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T04:00:00+02:00","temperature_c":0.2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T05:00:00+02:00","temperature_c":0.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8,"wind_gust_kmh":12},{"time":"2026-04-06T06:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T07:00:00+02:00","temperature_c":4,"precip_mm":0.1,"sunshine_minutes":5,"wind_kmh":12,"wind_gust_kmh":18},{"time":"2026-04-06T08:00:00+02:00","temperature_c":6.5,"precip_mm":0.2,"sunshine_minutes":0,"wind_kmh":15,"wind_gust_kmh":22},{"time":"2026-04-06T09:00:00+02:00","temperature_c":9,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":12,"wind_gust_kmh":35},{"time":"2026-04-06T10:00:00+02:00","temperature_c":11.5,"precip_mm":0,"sunshine_minutes":45,"wind_kmh":10,"wind_gust_kmh":16},{"time":"2026-04-06T11:00:00+02:00","temperature_c":13.5,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T12:00:00+02:00","temperature_c":15,"precip_mm":0,"sunshine_minutes":60,"wind_kmh":8,"wind_gust_kmh":13},{"time":"2026-04-06T13:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":58,"wind_kmh":8,"wind_gust_kmh":13},{"time":"2026-04-06T14:00:00+02:00","temperature_c":17.8,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10,"wind_gust_kmh":16},{"time":"2026-04-06T15:00:00+02:00","temperature_c":18.5,"precip_mm":0,"sunshine_minutes":40,"wind_kmh":12,"wind_gust_kmh":19},{"time":"2026-04-06T16:00:00+02:00","temperature_c":18,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":14,"wind_gust_kmh":21},{"time":"2026-04-06T17:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":13,"wind_gust_kmh":20},{"time":"2026-04-06T18:00:00+02:00","temperature_c":14,"precip_mm":0,"sunshine_minutes":5,"wind_kmh":12,"wind_gust_kmh":18},{"time":"2026-04-06T19:00:00+02:00","temperature_c":11,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T20:00:00+02:00","temperature_c":8.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8,"wind_gust_kmh":12},{"time":"2026-04-06T21:00:00+02:00","temperature_c":6,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":6,"wind_gust_kmh":9},{"time":"2026-04-06T22:00:00+02:00","temperature_c":4,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T23:00:00+02:00","temperature_c":2.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8}]}],"source":"MeteoSwiss Open Data"}
|
Which single local hour on 2026-04-06 has the most sunshine? Respond with ONLY a single-line strict JSON object in the exact schema given — no markdown fences, no explanation, no extra keys. Schema: {"hour": "HH:00"}
|
{"key":"hour","kind":"hour","value":12}
|
n/a
|
b-mixed-gust
|
ms-argmax
|
ms-argmax-sunshine
|
Output
{"hour": "12:00"}
Reason
All assertions passed |
Output
Thinking: **Finding Sunny Hours**
I'm currently sifting through the forecast data for April 6th, 2026, focusing on pinpointing that single hour with the most sunshine. The analysis is progressing well as I isolate and compare the sunshine intensity values for each local hour.
{"hour": "12:00"}
Reason
All assertions passed |
Output
{"hour": "12:00"}
Reason
All assertions passed |
Output
{"hour": "12:00"}
Reason
All assertions passed |
Output
{"hour":"12:00"}
Reason
All assertions passed |
Output
{"hour": "12:00"}
Reason
All assertions passed |
|
{"location":{"name":"Zürich","type":"postal_code","elevation":409,"coordinates":{"lat":47.372289,"lon":8.542189}},"generated":"2026-04-06T04:00:00.000000Z","forecast":[{"date":"2026-04-06","weather":"sunny intervals, light rain in the morning","weather_icon_url":"https://www.meteoschweiz.admin.ch/static/resources/weather-symbols/14.svg","temperature":{"min":0.2,"max":18.5,"unit":"°C"},"precipitation_total_mm":0.3,"sunshine_total_minutes":383,"wind_avg_kmh":8.9,"wind_gust_max_kmh":35,"hourly":[{"time":"2026-04-06T00:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T01:00:00+02:00","temperature_c":1.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T02:00:00+02:00","temperature_c":1,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T03:00:00+02:00","temperature_c":0.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T04:00:00+02:00","temperature_c":0.2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T05:00:00+02:00","temperature_c":0.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8,"wind_gust_kmh":12},{"time":"2026-04-06T06:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T07:00:00+02:00","temperature_c":4,"precip_mm":0.1,"sunshine_minutes":5,"wind_kmh":12,"wind_gust_kmh":18},{"time":"2026-04-06T08:00:00+02:00","temperature_c":6.5,"precip_mm":0.2,"sunshine_minutes":0,"wind_kmh":15,"wind_gust_kmh":22},{"time":"2026-04-06T09:00:00+02:00","temperature_c":9,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":12,"wind_gust_kmh":35},{"time":"2026-04-06T10:00:00+02:00","temperature_c":11.5,"precip_mm":0,"sunshine_minutes":45,"wind_kmh":10,"wind_gust_kmh":16},{"time":"2026-04-06T11:00:00+02:00","temperature_c":13.5,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T12:00:00+02:00","temperature_c":15,"precip_mm":0,"sunshine_minutes":60,"wind_kmh":8,"wind_gust_kmh":13},{"time":"2026-04-06T13:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":58,"wind_kmh":8,"wind_gust_kmh":13},{"time":"2026-04-06T14:00:00+02:00","temperature_c":17.8,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10,"wind_gust_kmh":16},{"time":"2026-04-06T15:00:00+02:00","temperature_c":18.5,"precip_mm":0,"sunshine_minutes":40,"wind_kmh":12,"wind_gust_kmh":19},{"time":"2026-04-06T16:00:00+02:00","temperature_c":18,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":14,"wind_gust_kmh":21},{"time":"2026-04-06T17:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":13,"wind_gust_kmh":20},{"time":"2026-04-06T18:00:00+02:00","temperature_c":14,"precip_mm":0,"sunshine_minutes":5,"wind_kmh":12,"wind_gust_kmh":18},{"time":"2026-04-06T19:00:00+02:00","temperature_c":11,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T20:00:00+02:00","temperature_c":8.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8,"wind_gust_kmh":12},{"time":"2026-04-06T21:00:00+02:00","temperature_c":6,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":6,"wind_gust_kmh":9},{"time":"2026-04-06T22:00:00+02:00","temperature_c":4,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T23:00:00+02:00","temperature_c":2.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8}]}],"source":"MeteoSwiss Open Data"}
|
Which single local hour on 2026-04-06 has the highest wind speed? Respond with ONLY a single-line strict JSON object in the exact schema given — no markdown fences, no explanation, no extra keys. Schema: {"hour": "HH:00"}
|
{"key":"hour","kind":"hour","value":8}
|
n/a
|
b-mixed-gust
|
ms-argmax
|
ms-argmax-wind
|
Output
{"hour": "08:00"}
Reason
All assertions passed |
Output
Thinking: **Identifying Peak Wind**
I've analyzed the hourly wind data for April 6th, 2026, and pinpointed the hour with the maximum wind speed. The highest value observed was 10 km/h.
{"hour": "08:00"}
Reason
All assertions passed |
Output
{"hour": "09:00"}
Reason
[wrong] expected hour 8, got "09:00" |
Output
{"hour": "09:00"}
Reason
[wrong] expected hour 8, got "09:00" |
Output
{"hour":"09:00"}
Reason
[wrong] expected hour 8, got "09:00" |
Output
{"hour": "09:00"}
Reason
[wrong] expected hour 8, got "09:00" |
|
{"location":{"name":"Zürich","type":"postal_code","elevation":409,"coordinates":{"lat":47.372289,"lon":8.542189}},"generated":"2026-04-06T04:00:00.000000Z","forecast":[{"date":"2026-04-06","weather":"sunny intervals, light rain in the morning","weather_icon_url":"https://www.meteoschweiz.admin.ch/static/resources/weather-symbols/14.svg","temperature":{"min":0.2,"max":18.5,"unit":"°C"},"precipitation_total_mm":0.3,"sunshine_total_minutes":383,"wind_avg_kmh":8.9,"wind_gust_max_kmh":35,"hourly":[{"time":"2026-04-06T00:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T01:00:00+02:00","temperature_c":1.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T02:00:00+02:00","temperature_c":1,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T03:00:00+02:00","temperature_c":0.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T04:00:00+02:00","temperature_c":0.2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T05:00:00+02:00","temperature_c":0.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8,"wind_gust_kmh":12},{"time":"2026-04-06T06:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T07:00:00+02:00","temperature_c":4,"precip_mm":0.1,"sunshine_minutes":5,"wind_kmh":12,"wind_gust_kmh":18},{"time":"2026-04-06T08:00:00+02:00","temperature_c":6.5,"precip_mm":0.2,"sunshine_minutes":0,"wind_kmh":15,"wind_gust_kmh":22},{"time":"2026-04-06T09:00:00+02:00","temperature_c":9,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":12,"wind_gust_kmh":35},{"time":"2026-04-06T10:00:00+02:00","temperature_c":11.5,"precip_mm":0,"sunshine_minutes":45,"wind_kmh":10,"wind_gust_kmh":16},{"time":"2026-04-06T11:00:00+02:00","temperature_c":13.5,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T12:00:00+02:00","temperature_c":15,"precip_mm":0,"sunshine_minutes":60,"wind_kmh":8,"wind_gust_kmh":13},{"time":"2026-04-06T13:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":58,"wind_kmh":8,"wind_gust_kmh":13},{"time":"2026-04-06T14:00:00+02:00","temperature_c":17.8,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10,"wind_gust_kmh":16},{"time":"2026-04-06T15:00:00+02:00","temperature_c":18.5,"precip_mm":0,"sunshine_minutes":40,"wind_kmh":12,"wind_gust_kmh":19},{"time":"2026-04-06T16:00:00+02:00","temperature_c":18,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":14,"wind_gust_kmh":21},{"time":"2026-04-06T17:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":13,"wind_gust_kmh":20},{"time":"2026-04-06T18:00:00+02:00","temperature_c":14,"precip_mm":0,"sunshine_minutes":5,"wind_kmh":12,"wind_gust_kmh":18},{"time":"2026-04-06T19:00:00+02:00","temperature_c":11,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T20:00:00+02:00","temperature_c":8.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8,"wind_gust_kmh":12},{"time":"2026-04-06T21:00:00+02:00","temperature_c":6,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":6,"wind_gust_kmh":9},{"time":"2026-04-06T22:00:00+02:00","temperature_c":4,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T23:00:00+02:00","temperature_c":2.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8}]}],"source":"MeteoSwiss Open Data"}
|
At 13:00 local time on 2026-04-06: is it dry, is there any sunshine, and is it calm (wind under 10 km/h)? Respond with ONLY a single-line strict JSON object in the exact schema given — no markdown fences, no explanation, no extra keys. Schema: {"dry": true | false, "sunny": true | false, "calm": true | false}
|
{"kind":"compound","parts":[{"key":"dry","kind":"bool","value":true},{"key":"sunny","kind":"bool","value":true},{"key":"calm","kind":"bool","value":true}]}
|
n/a
|
b-mixed-gust
|
ms-point-cross
|
ms-compound-1300
|
Output
{"dry": true, "sunny": true, "calm": true}
Reason
All assertions passed |
Output
Thinking: **Analyzing Weather Data**
I am currently focused on extracting precise weather details for April 6th, 2026, at 13:00 local time from the provided JSON object. My goal is to answer specific questions using only this data.
{"dry": true, "sunny": true, "calm": true}
Reason
All assertions passed |
Output
{"dry": true, "sunny": true, "calm": false}
Reason
[partial] expected true, got true; expected true, got true; expected true, got false |
Output
{"dry": true, "sunny": true, "calm": true}
Reason
All assertions passed |
Output
{"dry": true, "sunny": true, "calm": false}
Reason
[partial] expected true, got true; expected true, got true; expected true, got false |
Output
{"dry": true, "sunny": true, "calm": false}
Reason
[partial] expected true, got true; expected true, got true; expected true, got false |
|
{"location":{"name":"Zürich","type":"postal_code","elevation":409,"coordinates":{"lat":47.372289,"lon":8.542189}},"generated":"2026-04-06T04:00:00.000000Z","forecast":[{"date":"2026-04-06","weather":"sunny intervals, light rain in the morning","weather_icon_url":"https://www.meteoschweiz.admin.ch/static/resources/weather-symbols/14.svg","temperature":{"min":0.2,"max":18.5,"unit":"°C"},"precipitation_total_mm":0.3,"sunshine_total_minutes":383,"wind_avg_kmh":8.9,"wind_gust_max_kmh":35,"hourly":[{"time":"2026-04-06T00:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T01:00:00+02:00","temperature_c":1.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T02:00:00+02:00","temperature_c":1,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T03:00:00+02:00","temperature_c":0.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T04:00:00+02:00","temperature_c":0.2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T05:00:00+02:00","temperature_c":0.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8,"wind_gust_kmh":12},{"time":"2026-04-06T06:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T07:00:00+02:00","temperature_c":4,"precip_mm":0.1,"sunshine_minutes":5,"wind_kmh":12,"wind_gust_kmh":18},{"time":"2026-04-06T08:00:00+02:00","temperature_c":6.5,"precip_mm":0.2,"sunshine_minutes":0,"wind_kmh":15,"wind_gust_kmh":22},{"time":"2026-04-06T09:00:00+02:00","temperature_c":9,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":12,"wind_gust_kmh":35},{"time":"2026-04-06T10:00:00+02:00","temperature_c":11.5,"precip_mm":0,"sunshine_minutes":45,"wind_kmh":10,"wind_gust_kmh":16},{"time":"2026-04-06T11:00:00+02:00","temperature_c":13.5,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T12:00:00+02:00","temperature_c":15,"precip_mm":0,"sunshine_minutes":60,"wind_kmh":8,"wind_gust_kmh":13},{"time":"2026-04-06T13:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":58,"wind_kmh":8,"wind_gust_kmh":13},{"time":"2026-04-06T14:00:00+02:00","temperature_c":17.8,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10,"wind_gust_kmh":16},{"time":"2026-04-06T15:00:00+02:00","temperature_c":18.5,"precip_mm":0,"sunshine_minutes":40,"wind_kmh":12,"wind_gust_kmh":19},{"time":"2026-04-06T16:00:00+02:00","temperature_c":18,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":14,"wind_gust_kmh":21},{"time":"2026-04-06T17:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":13,"wind_gust_kmh":20},{"time":"2026-04-06T18:00:00+02:00","temperature_c":14,"precip_mm":0,"sunshine_minutes":5,"wind_kmh":12,"wind_gust_kmh":18},{"time":"2026-04-06T19:00:00+02:00","temperature_c":11,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T20:00:00+02:00","temperature_c":8.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8,"wind_gust_kmh":12},{"time":"2026-04-06T21:00:00+02:00","temperature_c":6,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":6,"wind_gust_kmh":9},{"time":"2026-04-06T22:00:00+02:00","temperature_c":4,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T23:00:00+02:00","temperature_c":2.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8}]}],"source":"MeteoSwiss Open Data"}
|
What is the total sunshine in minutes for 2026-04-06, and does it match summing the hourly sunshine series (allow rounding)? Respond with ONLY a single-line strict JSON object in the exact schema given — no markdown fences, no explanation, no extra keys. Schema: {"total_minutes": <number>, "matches_hourly_sum": true | false}
|
{"kind":"compound","parts":[{"key":"total_minutes","kind":"number","value":383,"tolerance":1},{"key":"matches_hourly_sum","kind":"bool","value":true}]}
|
n/a
|
b-mixed-gust
|
ms-cross-field
|
ms-sunshine-total
|
Output
Let me sum the hourly sunshine: 0+0+0+0+0+10+5+0+20+45+55+60+58+55+40+20+10+5+0+0+0+0+0 = 511
{"total_minutes": 383, "matches_hourly_sum": false}
Reason
[partial] expected 383±1, got 383; expected true, got false |
Output
Thinking: **Analyzing Weather Data**
I'm currently processing the weather forecast, specifically focusing on the sunshine duration for April 6th, 2026. My next step is to meticulously compare the total recorded sunshine with the sum of individual hourly sunshine values, accounting for potential rounding discrepancies.
**Verifying Sunshine Totals**
I've just finished summing the hourly sunshine minutes, and it came out to 383. This matches the provided total, so the data appears consistent.
{"total_minutes": 383, "matches_hourly_sum": true}
Reason
All assertions passed |
Output
{"total_minutes": 383, "matches_hourly_sum": true}
Reason
All assertions passed |
Output
{"total_minutes": 383, "matches_hourly_sum": true}
Reason
All assertions passed |
Output
{"total_minutes": 383, "matches_hourly_sum": true}
Reason
All assertions passed |
Output
{"total_minutes": 383, "matches_hourly_sum": true}
Reason
All assertions passed |
|
{"location":{"name":"Zürich","type":"postal_code","elevation":409,"coordinates":{"lat":47.372289,"lon":8.542189}},"generated":"2026-04-06T04:00:00.000000Z","forecast":[{"date":"2026-04-06","weather":"sunny intervals, light rain in the morning","weather_icon_url":"https://www.meteoschweiz.admin.ch/static/resources/weather-symbols/14.svg","temperature":{"min":0.2,"max":18.5,"unit":"°C"},"precipitation_total_mm":0.3,"sunshine_total_minutes":383,"wind_avg_kmh":8.9,"wind_gust_max_kmh":35,"hourly":[{"time":"2026-04-06T00:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T01:00:00+02:00","temperature_c":1.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T02:00:00+02:00","temperature_c":1,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T03:00:00+02:00","temperature_c":0.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T04:00:00+02:00","temperature_c":0.2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T05:00:00+02:00","temperature_c":0.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8,"wind_gust_kmh":12},{"time":"2026-04-06T06:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T07:00:00+02:00","temperature_c":4,"precip_mm":0.1,"sunshine_minutes":5,"wind_kmh":12,"wind_gust_kmh":18},{"time":"2026-04-06T08:00:00+02:00","temperature_c":6.5,"precip_mm":0.2,"sunshine_minutes":0,"wind_kmh":15,"wind_gust_kmh":22},{"time":"2026-04-06T09:00:00+02:00","temperature_c":9,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":12,"wind_gust_kmh":35},{"time":"2026-04-06T10:00:00+02:00","temperature_c":11.5,"precip_mm":0,"sunshine_minutes":45,"wind_kmh":10,"wind_gust_kmh":16},{"time":"2026-04-06T11:00:00+02:00","temperature_c":13.5,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T12:00:00+02:00","temperature_c":15,"precip_mm":0,"sunshine_minutes":60,"wind_kmh":8,"wind_gust_kmh":13},{"time":"2026-04-06T13:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":58,"wind_kmh":8,"wind_gust_kmh":13},{"time":"2026-04-06T14:00:00+02:00","temperature_c":17.8,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10,"wind_gust_kmh":16},{"time":"2026-04-06T15:00:00+02:00","temperature_c":18.5,"precip_mm":0,"sunshine_minutes":40,"wind_kmh":12,"wind_gust_kmh":19},{"time":"2026-04-06T16:00:00+02:00","temperature_c":18,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":14,"wind_gust_kmh":21},{"time":"2026-04-06T17:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":13,"wind_gust_kmh":20},{"time":"2026-04-06T18:00:00+02:00","temperature_c":14,"precip_mm":0,"sunshine_minutes":5,"wind_kmh":12,"wind_gust_kmh":18},{"time":"2026-04-06T19:00:00+02:00","temperature_c":11,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T20:00:00+02:00","temperature_c":8.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8,"wind_gust_kmh":12},{"time":"2026-04-06T21:00:00+02:00","temperature_c":6,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":6,"wind_gust_kmh":9},{"time":"2026-04-06T22:00:00+02:00","temperature_c":4,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T23:00:00+02:00","temperature_c":2.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8}]}],"source":"MeteoSwiss Open Data"}
|
Which single local hour on 2026-04-06 has the most rainfall? Respond with ONLY a single-line strict JSON object in the exact schema given — no markdown fences, no explanation, no extra keys. Schema: {"hour": "HH:00"}
|
{"key":"hour","kind":"hour","value":8}
|
n/a
|
b-mixed-gust
|
ms-argmax
|
ms-argmax-precip
|
Output
{"hour": "08:00"}
Reason
All assertions passed |
Output
Thinking: **Finding Peak Rainfall**
I'm currently processing the weather forecast data to pinpoint the precise local hour on April 6th, 2026, that is projected to receive the maximum amount of precipitation. My focus is on extracting and comparing the rainfall figures for each individual hour within that specific day.
{"hour": "08:00"}
Reason
All assertions passed |
Output
{"hour": "08:00"}
Reason
All assertions passed |
Output
{"hour": "08:00"}
Reason
All assertions passed |
Output
{"hour":"07:00"}
Reason
[wrong] expected hour 8, got "07:00" |
Output
{"hour": "08:00"}
Reason
All assertions passed |
|
{"location":{"name":"Zürich","type":"postal_code","elevation":409,"coordinates":{"lat":47.372289,"lon":8.542189}},"generated":"2026-04-06T04:00:00.000000Z","forecast":[{"date":"2026-04-06","weather":"sunny intervals, light rain in the morning","weather_icon_url":"https://www.meteoschweiz.admin.ch/static/resources/weather-symbols/14.svg","temperature":{"min":0.2,"max":18.5,"unit":"°C"},"precipitation_total_mm":0.3,"sunshine_total_minutes":383,"wind_avg_kmh":8.9,"wind_gust_max_kmh":35,"hourly":[{"time":"2026-04-06T00:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T01:00:00+02:00","temperature_c":1.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T02:00:00+02:00","temperature_c":1,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T03:00:00+02:00","temperature_c":0.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T04:00:00+02:00","temperature_c":0.2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T05:00:00+02:00","temperature_c":0.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8,"wind_gust_kmh":12},{"time":"2026-04-06T06:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T07:00:00+02:00","temperature_c":4,"precip_mm":0.1,"sunshine_minutes":5,"wind_kmh":12,"wind_gust_kmh":18},{"time":"2026-04-06T08:00:00+02:00","temperature_c":6.5,"precip_mm":0.2,"sunshine_minutes":0,"wind_kmh":15,"wind_gust_kmh":22},{"time":"2026-04-06T09:00:00+02:00","temperature_c":9,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":12,"wind_gust_kmh":35},{"time":"2026-04-06T10:00:00+02:00","temperature_c":11.5,"precip_mm":0,"sunshine_minutes":45,"wind_kmh":10,"wind_gust_kmh":16},{"time":"2026-04-06T11:00:00+02:00","temperature_c":13.5,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T12:00:00+02:00","temperature_c":15,"precip_mm":0,"sunshine_minutes":60,"wind_kmh":8,"wind_gust_kmh":13},{"time":"2026-04-06T13:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":58,"wind_kmh":8,"wind_gust_kmh":13},{"time":"2026-04-06T14:00:00+02:00","temperature_c":17.8,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10,"wind_gust_kmh":16},{"time":"2026-04-06T15:00:00+02:00","temperature_c":18.5,"precip_mm":0,"sunshine_minutes":40,"wind_kmh":12,"wind_gust_kmh":19},{"time":"2026-04-06T16:00:00+02:00","temperature_c":18,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":14,"wind_gust_kmh":21},{"time":"2026-04-06T17:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":13,"wind_gust_kmh":20},{"time":"2026-04-06T18:00:00+02:00","temperature_c":14,"precip_mm":0,"sunshine_minutes":5,"wind_kmh":12,"wind_gust_kmh":18},{"time":"2026-04-06T19:00:00+02:00","temperature_c":11,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T20:00:00+02:00","temperature_c":8.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8,"wind_gust_kmh":12},{"time":"2026-04-06T21:00:00+02:00","temperature_c":6,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":6,"wind_gust_kmh":9},{"time":"2026-04-06T22:00:00+02:00","temperature_c":4,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T23:00:00+02:00","temperature_c":2.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8}]}],"source":"MeteoSwiss Open Data"}
|
Which single local hour on 2026-04-06 is BEST for a walk: it must be dry (0mm rain), have some sunshine (more than 0 minutes), and be calm (wind under 10 km/h)? If more than one hour qualifies, pick the one with the most sunshine. Respond with ONLY a single-line strict JSON object in the exact schema given — no markdown fences, no explanation, no extra keys. Schema: {"hour": "HH:00"}
|
{"key":"hour","kind":"hour","value":12}
|
n/a
|
b-mixed-gust
|
ms-compound-argmax
|
ms-best-walk-hour
|
Output
Let me find hours that are dry (0mm), sunny (>0 min), and calm (wind <10 km/h).
- 06:00: precip 0, sun 10, wind 10 → wind not <10, excluded
- 09:00: wind 12, excluded
- 10:00: wind 10, excluded
- 11:00: wind 10, excluded
- 12:00: precip 0, sun 60, wind 8 ✓
- 13:00: precip 0, sun 58, wind 8 ✓
- 14:00: wind 10, excluded
- 17:00: wind 13, excluded
- 18:00: wind 12, excluded
Best: 12:00 with 60 min sunshine.
{"hour": "12:00"}
Reason
All assertions passed |
Output
Thinking: **Analyzing Weather Data**
I'm currently sifting through the Zürich forecast for April 6th, 2026. My focus is identifying the optimal hour for a walk, specifically looking for periods of complete dryness and ample sunshine.
**Selecting Best Hour**
I've narrowed down the potential walk times to 12:00 and 13:00 based on dryness and calm wind criteria. Comparing sunshine, 12:00 offers slightly more, making it my current choice for the optimal walk.
```json
{"hour": "12:00"}
```
{"hour": "12:00"}
Reason
All assertions passed |
Output
{"hour": "06:00"}
Reason
[wrong] expected hour 12, got "06:00" |
Output
{"hour": "12:00"}
Reason
All assertions passed |
Output
{"hour":"09:00"}
Reason
[wrong] expected hour 12, got "09:00" |
Output
{"hour": "12:00"}
Reason
All assertions passed |
|
{"location":{"name":"Zürich","type":"postal_code","elevation":409,"coordinates":{"lat":47.372289,"lon":8.542189}},"generated":"2026-04-06T04:00:00.000000Z","forecast":[{"date":"2026-04-06","weather":"sunny intervals, light rain in the morning","weather_icon_url":"https://www.meteoschweiz.admin.ch/static/resources/weather-symbols/14.svg","temperature":{"min":0.2,"max":18.5,"unit":"°C"},"precipitation_total_mm":0.3,"sunshine_total_minutes":383,"wind_avg_kmh":8.9,"wind_gust_max_kmh":35,"hourly":[{"time":"2026-04-06T00:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T01:00:00+02:00","temperature_c":1.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T02:00:00+02:00","temperature_c":1,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T03:00:00+02:00","temperature_c":0.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T04:00:00+02:00","temperature_c":0.2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T05:00:00+02:00","temperature_c":0.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8,"wind_gust_kmh":12},{"time":"2026-04-06T06:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T07:00:00+02:00","temperature_c":4,"precip_mm":0.1,"sunshine_minutes":5,"wind_kmh":12,"wind_gust_kmh":18},{"time":"2026-04-06T08:00:00+02:00","temperature_c":6.5,"precip_mm":0.2,"sunshine_minutes":0,"wind_kmh":15,"wind_gust_kmh":22},{"time":"2026-04-06T09:00:00+02:00","temperature_c":9,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":12,"wind_gust_kmh":35},{"time":"2026-04-06T10:00:00+02:00","temperature_c":11.5,"precip_mm":0,"sunshine_minutes":45,"wind_kmh":10,"wind_gust_kmh":16},{"time":"2026-04-06T11:00:00+02:00","temperature_c":13.5,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T12:00:00+02:00","temperature_c":15,"precip_mm":0,"sunshine_minutes":60,"wind_kmh":8,"wind_gust_kmh":13},{"time":"2026-04-06T13:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":58,"wind_kmh":8,"wind_gust_kmh":13},{"time":"2026-04-06T14:00:00+02:00","temperature_c":17.8,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10,"wind_gust_kmh":16},{"time":"2026-04-06T15:00:00+02:00","temperature_c":18.5,"precip_mm":0,"sunshine_minutes":40,"wind_kmh":12,"wind_gust_kmh":19},{"time":"2026-04-06T16:00:00+02:00","temperature_c":18,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":14,"wind_gust_kmh":21},{"time":"2026-04-06T17:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":13,"wind_gust_kmh":20},{"time":"2026-04-06T18:00:00+02:00","temperature_c":14,"precip_mm":0,"sunshine_minutes":5,"wind_kmh":12,"wind_gust_kmh":18},{"time":"2026-04-06T19:00:00+02:00","temperature_c":11,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T20:00:00+02:00","temperature_c":8.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8,"wind_gust_kmh":12},{"time":"2026-04-06T21:00:00+02:00","temperature_c":6,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":6,"wind_gust_kmh":9},{"time":"2026-04-06T22:00:00+02:00","temperature_c":4,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T23:00:00+02:00","temperature_c":2.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8}]}],"source":"MeteoSwiss Open Data"}
|
Is there a local hour on 2026-04-06 that is both completely dry (0mm rain) AND has wind of at least 14 km/h? If yes, give the earliest such hour; if no, say so. Respond with ONLY a single-line strict JSON object in the exact schema given — no markdown fences, no explanation, no extra keys. Schema: {"exists": true | false, "hour": "HH:00"}
|
{"kind":"compound","parts":[{"key":"exists","kind":"bool","value":true},{"key":"hour","kind":"hour","value":16}]}
|
n/a
|
b-mixed-gust
|
ms-existence
|
ms-windy-dry-hour
|
Output
{"exists": true, "hour": "16:00"}
Reason
All assertions passed |
Output
Thinking: **Analyzing Weather Data**
I am currently examining the provided weather data for 2026-04-06, specifically looking for an hour that meets two criteria: zero precipitation and wind speed of at least 14 km/h. My aim is to identify the earliest occurrence if such a time exists.
{"exists": true, "hour": "16:00"}
Reason
All assertions passed |
Output
{"exists": true, "hour": "16:00"}
Reason
All assertions passed |
Output
{"exists": true, "hour": "16:00"}
Reason
All assertions passed |
Output
{"exists": true, "hour": "07:00"}
Reason
[partial] expected true, got true; expected hour 16, got "07:00" |
Output
{"exists": true, "hour": "16:00"}
Reason
All assertions passed |
|
{"location":{"name":"Zürich","type":"postal_code","elevation":409,"coordinates":{"lat":47.372289,"lon":8.542189}},"generated":"2026-04-06T04:00:00.000000Z","forecast":[{"date":"2026-04-06","weather":"sunny intervals, light rain in the morning","weather_icon_url":"https://www.meteoschweiz.admin.ch/static/resources/weather-symbols/14.svg","temperature":{"min":0.2,"max":18.5,"unit":"°C"},"precipitation_total_mm":0.3,"sunshine_total_minutes":383,"wind_avg_kmh":8.9,"wind_gust_max_kmh":35,"hourly":[{"time":"2026-04-06T00:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T01:00:00+02:00","temperature_c":1.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T02:00:00+02:00","temperature_c":1,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T03:00:00+02:00","temperature_c":0.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T04:00:00+02:00","temperature_c":0.2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T05:00:00+02:00","temperature_c":0.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8,"wind_gust_kmh":12},{"time":"2026-04-06T06:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T07:00:00+02:00","temperature_c":4,"precip_mm":0.1,"sunshine_minutes":5,"wind_kmh":12,"wind_gust_kmh":18},{"time":"2026-04-06T08:00:00+02:00","temperature_c":6.5,"precip_mm":0.2,"sunshine_minutes":0,"wind_kmh":15,"wind_gust_kmh":22},{"time":"2026-04-06T09:00:00+02:00","temperature_c":9,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":12,"wind_gust_kmh":35},{"time":"2026-04-06T10:00:00+02:00","temperature_c":11.5,"precip_mm":0,"sunshine_minutes":45,"wind_kmh":10,"wind_gust_kmh":16},{"time":"2026-04-06T11:00:00+02:00","temperature_c":13.5,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T12:00:00+02:00","temperature_c":15,"precip_mm":0,"sunshine_minutes":60,"wind_kmh":8,"wind_gust_kmh":13},{"time":"2026-04-06T13:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":58,"wind_kmh":8,"wind_gust_kmh":13},{"time":"2026-04-06T14:00:00+02:00","temperature_c":17.8,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10,"wind_gust_kmh":16},{"time":"2026-04-06T15:00:00+02:00","temperature_c":18.5,"precip_mm":0,"sunshine_minutes":40,"wind_kmh":12,"wind_gust_kmh":19},{"time":"2026-04-06T16:00:00+02:00","temperature_c":18,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":14,"wind_gust_kmh":21},{"time":"2026-04-06T17:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":13,"wind_gust_kmh":20},{"time":"2026-04-06T18:00:00+02:00","temperature_c":14,"precip_mm":0,"sunshine_minutes":5,"wind_kmh":12,"wind_gust_kmh":18},{"time":"2026-04-06T19:00:00+02:00","temperature_c":11,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T20:00:00+02:00","temperature_c":8.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8,"wind_gust_kmh":12},{"time":"2026-04-06T21:00:00+02:00","temperature_c":6,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":6,"wind_gust_kmh":9},{"time":"2026-04-06T22:00:00+02:00","temperature_c":4,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T23:00:00+02:00","temperature_c":2.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8}]}],"source":"MeteoSwiss Open Data"}
|
At 19:00 local time on 2026-04-06: is it dry, is there any sunshine, and is it windy (wind at or above 10 km/h)? Respond with ONLY a single-line strict JSON object in the exact schema given — no markdown fences, no explanation, no extra keys. Schema: {"dry": true | false, "sunny": true | false, "windy": true | false}
|
{"kind":"compound","parts":[{"key":"dry","kind":"bool","value":true},{"key":"sunny","kind":"bool","value":false},{"key":"windy","kind":"bool","value":true}]}
|
n/a
|
b-mixed-gust
|
ms-point-cross
|
ms-point-1900
|
Output
{"dry": true, "sunny": false, "windy": true}
Reason
All assertions passed |
Output
Thinking: **Analyzing Weather Data**
I am currently processing the provided weather forecast JSON. My focus is on extracting and evaluating conditions for 19:00 local time on 2026-04-06 to determine dryness, sunshine presence, and wind speed against a 10 km/h threshold.
{"dry": true, "sunny": false, "windy": true}
Reason
All assertions passed |
Output
{"dry": true, "sunny": false, "windy": true}
Reason
All assertions passed |
Output
{"dry": true, "sunny": false, "windy": true}
Reason
All assertions passed |
Output
{"dry": true, "sunny": false, "windy": true}
Reason
All assertions passed |
Output
{"dry": true, "sunny": false, "windy": true}
Reason
All assertions passed |
|
{"location":{"name":"Zürich","type":"postal_code","elevation":409,"coordinates":{"lat":47.372289,"lon":8.542189}},"generated":"2026-04-06T04:00:00.000000Z","forecast":[{"date":"2026-04-06","weather":"sunny intervals, light rain in the morning","weather_icon_url":"https://www.meteoschweiz.admin.ch/static/resources/weather-symbols/14.svg","temperature":{"min":0.2,"max":18.5,"unit":"°C"},"precipitation_total_mm":0.3,"sunshine_total_minutes":383,"wind_avg_kmh":8.9,"wind_gust_max_kmh":35,"hourly":[{"time":"2026-04-06T00:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T01:00:00+02:00","temperature_c":1.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T02:00:00+02:00","temperature_c":1,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T03:00:00+02:00","temperature_c":0.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T04:00:00+02:00","temperature_c":0.2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T05:00:00+02:00","temperature_c":0.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8,"wind_gust_kmh":12},{"time":"2026-04-06T06:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T07:00:00+02:00","temperature_c":4,"precip_mm":0.1,"sunshine_minutes":5,"wind_kmh":12,"wind_gust_kmh":18},{"time":"2026-04-06T08:00:00+02:00","temperature_c":6.5,"precip_mm":0.2,"sunshine_minutes":0,"wind_kmh":15,"wind_gust_kmh":22},{"time":"2026-04-06T09:00:00+02:00","temperature_c":9,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":12,"wind_gust_kmh":35},{"time":"2026-04-06T10:00:00+02:00","temperature_c":11.5,"precip_mm":0,"sunshine_minutes":45,"wind_kmh":10,"wind_gust_kmh":16},{"time":"2026-04-06T11:00:00+02:00","temperature_c":13.5,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T12:00:00+02:00","temperature_c":15,"precip_mm":0,"sunshine_minutes":60,"wind_kmh":8,"wind_gust_kmh":13},{"time":"2026-04-06T13:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":58,"wind_kmh":8,"wind_gust_kmh":13},{"time":"2026-04-06T14:00:00+02:00","temperature_c":17.8,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10,"wind_gust_kmh":16},{"time":"2026-04-06T15:00:00+02:00","temperature_c":18.5,"precip_mm":0,"sunshine_minutes":40,"wind_kmh":12,"wind_gust_kmh":19},{"time":"2026-04-06T16:00:00+02:00","temperature_c":18,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":14,"wind_gust_kmh":21},{"time":"2026-04-06T17:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":13,"wind_gust_kmh":20},{"time":"2026-04-06T18:00:00+02:00","temperature_c":14,"precip_mm":0,"sunshine_minutes":5,"wind_kmh":12,"wind_gust_kmh":18},{"time":"2026-04-06T19:00:00+02:00","temperature_c":11,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T20:00:00+02:00","temperature_c":8.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8,"wind_gust_kmh":12},{"time":"2026-04-06T21:00:00+02:00","temperature_c":6,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":6,"wind_gust_kmh":9},{"time":"2026-04-06T22:00:00+02:00","temperature_c":4,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T23:00:00+02:00","temperature_c":2.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8}]}],"source":"MeteoSwiss Open Data"}
|
What is the average wind speed in km/h for 2026-04-06, and does it match averaging the hourly wind series (allow rounding)? Respond with ONLY a single-line strict JSON object in the exact schema given — no markdown fences, no explanation, no extra keys. Schema: {"avg_kmh": <number>, "matches_hourly_avg": true | false}
|
{"kind":"compound","parts":[{"key":"avg_kmh","kind":"number","value":8.9,"tolerance":0.5},{"key":"matches_hourly_avg","kind":"bool","value":true}]}
|
n/a
|
b-mixed-gust
|
ms-cross-field
|
ms-wind-avg-check
|
Output
Sum of hourly wind: 5+5+5+5+5+8+10+12+15+12+10+10+8+8+10+12+14+13+12+10+8+6+5+5
Let me add: 5+5+5+5+5=25; +8=33;+10=43;+12=55;+15=70;+12=82;+10=92;+10=102;+8=110;+8=118;+10=128;+12=140;+14=154;+13=167;+12=179;+10=189;+8=197;+6=203;+5=208;+5=213
213/24 = 8.875 ≈ 8.9
{"avg_kmh": 8.9, "matches_hourly_avg": true}
Reason
All assertions passed |
Output
Thinking: **Calculating Average Wind**
I am currently processing the JSON data to determine the average wind speed for the specified date. My focus is on cross-referencing this average with the mean of the hourly wind series, accounting for potential rounding discrepancies. The final output will be a strict, single-line JSON object.
{"avg_kmh": 8.9, "matches_hourly_avg": true}
Reason
All assertions passed |
Output
{"avg_kmh": 8.9, "matches_hourly_avg": true}
Reason
All assertions passed |
Output
{"avg_kmh": 8.9, "matches_hourly_avg": true}
Reason
All assertions passed |
Output
{"avg_kmh": 9.6, "matches_hourly_avg": true}
Reason
[partial] expected 8.9±0.5, got 9.6; expected true, got true |
Output
{"avg_kmh": 10.5, "matches_hourly_avg": true}
Reason
[partial] expected 8.9±0.5, got 10.5; expected true, got true |
|
{"location":{"name":"Zürich","type":"postal_code","elevation":409,"coordinates":{"lat":47.372289,"lon":8.542189}},"generated":"2026-04-06T04:00:00.000000Z","forecast":[{"date":"2026-04-06","weather":"sunny intervals, light rain in the morning","weather_icon_url":"https://www.meteoschweiz.admin.ch/static/resources/weather-symbols/14.svg","temperature":{"min":0.2,"max":18.5,"unit":"°C"},"precipitation_total_mm":0.3,"sunshine_total_minutes":383,"wind_avg_kmh":8.9,"wind_gust_max_kmh":35,"hourly":[{"time":"2026-04-06T00:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T01:00:00+02:00","temperature_c":1.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T02:00:00+02:00","temperature_c":1,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T03:00:00+02:00","temperature_c":0.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T04:00:00+02:00","temperature_c":0.2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T05:00:00+02:00","temperature_c":0.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8,"wind_gust_kmh":12},{"time":"2026-04-06T06:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T07:00:00+02:00","temperature_c":4,"precip_mm":0.1,"sunshine_minutes":5,"wind_kmh":12,"wind_gust_kmh":18},{"time":"2026-04-06T08:00:00+02:00","temperature_c":6.5,"precip_mm":0.2,"sunshine_minutes":0,"wind_kmh":15,"wind_gust_kmh":22},{"time":"2026-04-06T09:00:00+02:00","temperature_c":9,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":12,"wind_gust_kmh":35},{"time":"2026-04-06T10:00:00+02:00","temperature_c":11.5,"precip_mm":0,"sunshine_minutes":45,"wind_kmh":10,"wind_gust_kmh":16},{"time":"2026-04-06T11:00:00+02:00","temperature_c":13.5,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T12:00:00+02:00","temperature_c":15,"precip_mm":0,"sunshine_minutes":60,"wind_kmh":8,"wind_gust_kmh":13},{"time":"2026-04-06T13:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":58,"wind_kmh":8,"wind_gust_kmh":13},{"time":"2026-04-06T14:00:00+02:00","temperature_c":17.8,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10,"wind_gust_kmh":16},{"time":"2026-04-06T15:00:00+02:00","temperature_c":18.5,"precip_mm":0,"sunshine_minutes":40,"wind_kmh":12,"wind_gust_kmh":19},{"time":"2026-04-06T16:00:00+02:00","temperature_c":18,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":14,"wind_gust_kmh":21},{"time":"2026-04-06T17:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":13,"wind_gust_kmh":20},{"time":"2026-04-06T18:00:00+02:00","temperature_c":14,"precip_mm":0,"sunshine_minutes":5,"wind_kmh":12,"wind_gust_kmh":18},{"time":"2026-04-06T19:00:00+02:00","temperature_c":11,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T20:00:00+02:00","temperature_c":8.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8,"wind_gust_kmh":12},{"time":"2026-04-06T21:00:00+02:00","temperature_c":6,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":6,"wind_gust_kmh":9},{"time":"2026-04-06T22:00:00+02:00","temperature_c":4,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T23:00:00+02:00","temperature_c":2.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8}]}],"source":"MeteoSwiss Open Data"}
|
What is the total precipitation in mm for 2026-04-06, and does it match summing the hourly precipitation series (allow rounding)? Respond with ONLY a single-line strict JSON object in the exact schema given — no markdown fences, no explanation, no extra keys. Schema: {"total_mm": <number>, "matches_hourly_sum": true | false}
|
{"kind":"compound","parts":[{"key":"total_mm","kind":"number","value":0.3,"tolerance":0.05},{"key":"matches_hourly_sum","kind":"bool","value":true}]}
|
n/a
|
b-mixed-gust
|
ms-cross-field
|
ms-precip-total-check
|
Output
{"total_mm": 0.3, "matches_hourly_sum": true}
Reason
All assertions passed |
Output
Thinking: **Verifying Precipitation Calculations**
I'm currently focusing on confirming the total precipitation for April 6, 2026, by cross-referencing the daily summary against the sum of hourly figures. My aim is to ensure accurate reconciliation, accounting for potential rounding discrepancies inherent in the data.
{"total_mm": 0.3, "matches_hourly_sum": true}
Reason
All assertions passed |
Output
{"total_mm": 0.3, "matches_hourly_sum": true}
Reason
All assertions passed |
Output
{"total_mm": 0.3, "matches_hourly_sum": true}
Reason
All assertions passed |
Output
{"total_mm":0.3,"matches_hourly_sum":true}
Reason
All assertions passed |
Output
{"total_mm": 0.3, "matches_hourly_sum": true}
Reason
All assertions passed |
|
{"location":{"name":"Zürich","type":"postal_code","elevation":409,"coordinates":{"lat":47.372289,"lon":8.542189}},"generated":"2026-04-06T04:00:00.000000Z","forecast":[{"date":"2026-04-06","weather":"sunny intervals, light rain in the morning","weather_icon_url":"https://www.meteoschweiz.admin.ch/static/resources/weather-symbols/14.svg","temperature":{"min":0.2,"max":18.5,"unit":"°C"},"precipitation_total_mm":0.3,"sunshine_total_minutes":383,"wind_avg_kmh":8.9,"wind_gust_max_kmh":35,"hourly":[{"time":"2026-04-06T00:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T01:00:00+02:00","temperature_c":1.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T02:00:00+02:00","temperature_c":1,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T03:00:00+02:00","temperature_c":0.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T04:00:00+02:00","temperature_c":0.2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T05:00:00+02:00","temperature_c":0.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8,"wind_gust_kmh":12},{"time":"2026-04-06T06:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T07:00:00+02:00","temperature_c":4,"precip_mm":0.1,"sunshine_minutes":5,"wind_kmh":12,"wind_gust_kmh":18},{"time":"2026-04-06T08:00:00+02:00","temperature_c":6.5,"precip_mm":0.2,"sunshine_minutes":0,"wind_kmh":15,"wind_gust_kmh":22},{"time":"2026-04-06T09:00:00+02:00","temperature_c":9,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":12,"wind_gust_kmh":35},{"time":"2026-04-06T10:00:00+02:00","temperature_c":11.5,"precip_mm":0,"sunshine_minutes":45,"wind_kmh":10,"wind_gust_kmh":16},{"time":"2026-04-06T11:00:00+02:00","temperature_c":13.5,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T12:00:00+02:00","temperature_c":15,"precip_mm":0,"sunshine_minutes":60,"wind_kmh":8,"wind_gust_kmh":13},{"time":"2026-04-06T13:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":58,"wind_kmh":8,"wind_gust_kmh":13},{"time":"2026-04-06T14:00:00+02:00","temperature_c":17.8,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10,"wind_gust_kmh":16},{"time":"2026-04-06T15:00:00+02:00","temperature_c":18.5,"precip_mm":0,"sunshine_minutes":40,"wind_kmh":12,"wind_gust_kmh":19},{"time":"2026-04-06T16:00:00+02:00","temperature_c":18,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":14,"wind_gust_kmh":21},{"time":"2026-04-06T17:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":13,"wind_gust_kmh":20},{"time":"2026-04-06T18:00:00+02:00","temperature_c":14,"precip_mm":0,"sunshine_minutes":5,"wind_kmh":12,"wind_gust_kmh":18},{"time":"2026-04-06T19:00:00+02:00","temperature_c":11,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T20:00:00+02:00","temperature_c":8.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8,"wind_gust_kmh":12},{"time":"2026-04-06T21:00:00+02:00","temperature_c":6,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":6,"wind_gust_kmh":9},{"time":"2026-04-06T22:00:00+02:00","temperature_c":4,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T23:00:00+02:00","temperature_c":2.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8}]}],"source":"MeteoSwiss Open Data"}
|
Which single local hour on 2026-04-06 has the highest temperature? Respond with ONLY a single-line strict JSON object in the exact schema given — no markdown fences, no explanation, no extra keys. Schema: {"hour": "HH:00"}
|
{"key":"hour","kind":"hour","value":15}
|
n/a
|
b-mixed-gust
|
ms-argmax
|
ms-argmax-temp
|
Output
{"hour": "15:00"}
Reason
All assertions passed |
Output
Thinking: **Finding Peak Temperature**
I'm currently sifting through the forecast data for April 6th, 2026, specifically zeroing in on each hourly temperature reading. My objective is to pinpoint the precise hour that exhibits the absolute maximum temperature, preparing to output this information in the required JSON format.
{"hour": "15:00"}
Reason
All assertions passed |
Output
{"hour": "15:00"}
Reason
All assertions passed |
Output
{"hour": "15:00"}
Reason
All assertions passed |
Output
{"hour":"15:00"}
Reason
All assertions passed |
Output
{"hour": "15:00"}
Reason
All assertions passed |
|
{"location":{"name":"Zürich","type":"postal_code","elevation":409,"coordinates":{"lat":47.372289,"lon":8.542189}},"generated":"2026-04-06T04:00:00.000000Z","forecast":[{"date":"2026-04-06","weather":"sunny intervals, light rain in the morning","weather_icon_url":"https://www.meteoschweiz.admin.ch/static/resources/weather-symbols/14.svg","temperature":{"min":0.2,"max":18.5,"unit":"°C"},"precipitation_total_mm":0.3,"sunshine_total_minutes":383,"wind_avg_kmh":8.9,"wind_gust_max_kmh":35,"hourly":[{"time":"2026-04-06T00:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T01:00:00+02:00","temperature_c":1.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T02:00:00+02:00","temperature_c":1,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T03:00:00+02:00","temperature_c":0.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T04:00:00+02:00","temperature_c":0.2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T05:00:00+02:00","temperature_c":0.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8,"wind_gust_kmh":12},{"time":"2026-04-06T06:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T07:00:00+02:00","temperature_c":4,"precip_mm":0.1,"sunshine_minutes":5,"wind_kmh":12,"wind_gust_kmh":18},{"time":"2026-04-06T08:00:00+02:00","temperature_c":6.5,"precip_mm":0.2,"sunshine_minutes":0,"wind_kmh":15,"wind_gust_kmh":22},{"time":"2026-04-06T09:00:00+02:00","temperature_c":9,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":12,"wind_gust_kmh":35},{"time":"2026-04-06T10:00:00+02:00","temperature_c":11.5,"precip_mm":0,"sunshine_minutes":45,"wind_kmh":10,"wind_gust_kmh":16},{"time":"2026-04-06T11:00:00+02:00","temperature_c":13.5,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T12:00:00+02:00","temperature_c":15,"precip_mm":0,"sunshine_minutes":60,"wind_kmh":8,"wind_gust_kmh":13},{"time":"2026-04-06T13:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":58,"wind_kmh":8,"wind_gust_kmh":13},{"time":"2026-04-06T14:00:00+02:00","temperature_c":17.8,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10,"wind_gust_kmh":16},{"time":"2026-04-06T15:00:00+02:00","temperature_c":18.5,"precip_mm":0,"sunshine_minutes":40,"wind_kmh":12,"wind_gust_kmh":19},{"time":"2026-04-06T16:00:00+02:00","temperature_c":18,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":14,"wind_gust_kmh":21},{"time":"2026-04-06T17:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":13,"wind_gust_kmh":20},{"time":"2026-04-06T18:00:00+02:00","temperature_c":14,"precip_mm":0,"sunshine_minutes":5,"wind_kmh":12,"wind_gust_kmh":18},{"time":"2026-04-06T19:00:00+02:00","temperature_c":11,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T20:00:00+02:00","temperature_c":8.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8,"wind_gust_kmh":12},{"time":"2026-04-06T21:00:00+02:00","temperature_c":6,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":6,"wind_gust_kmh":9},{"time":"2026-04-06T22:00:00+02:00","temperature_c":4,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T23:00:00+02:00","temperature_c":2.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8}]}],"source":"MeteoSwiss Open Data"}
|
What is the maximum temperature in °C for 2026-04-06, and does it match the highest reading in the hourly temperature series (allow rounding)? Respond with ONLY a single-line strict JSON object in the exact schema given — no markdown fences, no explanation, no extra keys. Schema: {"max_c": <number>, "matches_hourly_max": true | false}
|
{"kind":"compound","parts":[{"key":"max_c","kind":"number","value":18.5,"tolerance":0.5},{"key":"matches_hourly_max","kind":"bool","value":true}]}
|
n/a
|
b-mixed-gust
|
ms-cross-field
|
ms-temp-max-check
|
Output
{"max_c": 18.5, "matches_hourly_max": true}
Reason
All assertions passed |
Output
Thinking: **Analyzing Weather Data**
I'm currently processing the provided weather forecast data. My focus is on pinpointing the maximum temperature for April 6th, 2026, and then cross-referencing that value against the peak of the hourly temperature readings, accounting for potential minor discrepancies due to rounding.
**Comparing Temperatures**
I've successfully extracted the daily maximum temperature and pinpointed the highest hourly reading. My next step is to confirm if these values align precisely, determining the final boolean outcome.
{"max_c": 18.5, "matches_hourly_max": true}
Reason
All assertions passed |
Output
{"max_c": 18.5, "matches_hourly_max": true}
Reason
All assertions passed |
Output
{"max_c": 18.5, "matches_hourly_max": true}
Reason
All assertions passed |
Output
{"max_c": 18.5, "matches_hourly_max": true}
Reason
All assertions passed |
Output
{"max_c": 18.5, "matches_hourly_max": true}
Reason
All assertions passed |
|
{"location":{"name":"Zürich","type":"postal_code","elevation":409,"coordinates":{"lat":47.372289,"lon":8.542189}},"generated":"2026-04-06T04:00:00.000000Z","forecast":[{"date":"2026-04-06","weather":"sunny intervals, light rain in the morning","weather_icon_url":"https://www.meteoschweiz.admin.ch/static/resources/weather-symbols/14.svg","temperature":{"min":0.2,"max":18.5,"unit":"°C"},"precipitation_total_mm":0.3,"sunshine_total_minutes":383,"wind_avg_kmh":8.9,"wind_gust_max_kmh":35,"hourly":[{"time":"2026-04-06T00:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T01:00:00+02:00","temperature_c":1.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T02:00:00+02:00","temperature_c":1,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T03:00:00+02:00","temperature_c":0.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T04:00:00+02:00","temperature_c":0.2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T05:00:00+02:00","temperature_c":0.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8,"wind_gust_kmh":12},{"time":"2026-04-06T06:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T07:00:00+02:00","temperature_c":4,"precip_mm":0.1,"sunshine_minutes":5,"wind_kmh":12,"wind_gust_kmh":18},{"time":"2026-04-06T08:00:00+02:00","temperature_c":6.5,"precip_mm":0.2,"sunshine_minutes":0,"wind_kmh":15,"wind_gust_kmh":22},{"time":"2026-04-06T09:00:00+02:00","temperature_c":9,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":12,"wind_gust_kmh":35},{"time":"2026-04-06T10:00:00+02:00","temperature_c":11.5,"precip_mm":0,"sunshine_minutes":45,"wind_kmh":10,"wind_gust_kmh":16},{"time":"2026-04-06T11:00:00+02:00","temperature_c":13.5,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T12:00:00+02:00","temperature_c":15,"precip_mm":0,"sunshine_minutes":60,"wind_kmh":8,"wind_gust_kmh":13},{"time":"2026-04-06T13:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":58,"wind_kmh":8,"wind_gust_kmh":13},{"time":"2026-04-06T14:00:00+02:00","temperature_c":17.8,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10,"wind_gust_kmh":16},{"time":"2026-04-06T15:00:00+02:00","temperature_c":18.5,"precip_mm":0,"sunshine_minutes":40,"wind_kmh":12,"wind_gust_kmh":19},{"time":"2026-04-06T16:00:00+02:00","temperature_c":18,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":14,"wind_gust_kmh":21},{"time":"2026-04-06T17:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":13,"wind_gust_kmh":20},{"time":"2026-04-06T18:00:00+02:00","temperature_c":14,"precip_mm":0,"sunshine_minutes":5,"wind_kmh":12,"wind_gust_kmh":18},{"time":"2026-04-06T19:00:00+02:00","temperature_c":11,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T20:00:00+02:00","temperature_c":8.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8,"wind_gust_kmh":12},{"time":"2026-04-06T21:00:00+02:00","temperature_c":6,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":6,"wind_gust_kmh":9},{"time":"2026-04-06T22:00:00+02:00","temperature_c":4,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T23:00:00+02:00","temperature_c":2.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8}]}],"source":"MeteoSwiss Open Data"}
|
Which single local hour on 2026-04-06 has the strongest wind gust? Respond with ONLY a single-line strict JSON object in the exact schema given — no markdown fences, no explanation, no extra keys. Schema: {"hour": "HH:00"}
|
{"key":"hour","kind":"hour","value":9}
|
n/a
|
b-mixed-gust
|
ms-argmax
|
ms-argmax-gust
|
Output
{"hour": "09:00"}
Reason
All assertions passed |
Output
Thinking: **Finding Strongest Gust**
I'm currently processing the provided weather forecast data. My focus is on pinpointing the precise hour on April 6th, 2026, that features the most significant wind gust. I'll then extract this hour in the specified "HH:00" format.
{"hour": "09:00"}
Reason
All assertions passed |
Output
{"hour": "09:00"}
Reason
All assertions passed |
Output
{"hour": "09:00"}
Reason
All assertions passed |
Output
{"hour":"09:00"}
Reason
All assertions passed |
Output
{"hour": "09:00"}
Reason
All assertions passed |
|
{"location":{"name":"Zürich","type":"postal_code","elevation":409,"coordinates":{"lat":47.372289,"lon":8.542189}},"generated":"2026-04-06T04:00:00.000000Z","forecast":[{"date":"2026-04-06","weather":"sunny intervals, light rain in the morning","weather_icon_url":"https://www.meteoschweiz.admin.ch/static/resources/weather-symbols/14.svg","temperature_min_c":0.2,"temperature_max_c":18.5,"precipitation_total_mm":0.3,"sunshine_total_minutes":383,"wind_avg_kmh":8.9,"hourly":[{"time":"2026-04-06T00:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T01:00:00+02:00","temperature_c":1.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T02:00:00+02:00","temperature_c":1,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T03:00:00+02:00","temperature_c":0.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T04:00:00+02:00","temperature_c":0.2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T05:00:00+02:00","temperature_c":0.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8},{"time":"2026-04-06T06:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":10},{"time":"2026-04-06T07:00:00+02:00","temperature_c":4,"precip_mm":0.1,"sunshine_minutes":5,"wind_kmh":12},{"time":"2026-04-06T08:00:00+02:00","temperature_c":6.5,"precip_mm":0.2,"sunshine_minutes":0,"wind_kmh":15},{"time":"2026-04-06T09:00:00+02:00","temperature_c":9,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":12},{"time":"2026-04-06T10:00:00+02:00","temperature_c":11.5,"precip_mm":0,"sunshine_minutes":45,"wind_kmh":10},{"time":"2026-04-06T11:00:00+02:00","temperature_c":13.5,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10},{"time":"2026-04-06T12:00:00+02:00","temperature_c":15,"precip_mm":0,"sunshine_minutes":60,"wind_kmh":8},{"time":"2026-04-06T13:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":58,"wind_kmh":8},{"time":"2026-04-06T14:00:00+02:00","temperature_c":17.8,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10},{"time":"2026-04-06T15:00:00+02:00","temperature_c":18.5,"precip_mm":0,"sunshine_minutes":40,"wind_kmh":12},{"time":"2026-04-06T16:00:00+02:00","temperature_c":18,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":14},{"time":"2026-04-06T17:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":13},{"time":"2026-04-06T18:00:00+02:00","temperature_c":14,"precip_mm":0,"sunshine_minutes":5,"wind_kmh":12},{"time":"2026-04-06T19:00:00+02:00","temperature_c":11,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":10},{"time":"2026-04-06T20:00:00+02:00","temperature_c":8.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8},{"time":"2026-04-06T21:00:00+02:00","temperature_c":6,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":6},{"time":"2026-04-06T22:00:00+02:00","temperature_c":4,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T23:00:00+02:00","temperature_c":2.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5}]}],"source":"MeteoSwiss Open Data"}
|
At 08:00 local time on 2026-04-06: is it raining, and what is the wind speed in km/h? Respond with ONLY a single-line strict JSON object in the exact schema given — no markdown fences, no explanation, no extra keys. Schema: {"raining": true | false, "wind_kmh": <number>}
|
{"kind":"compound","parts":[{"key":"raining","kind":"bool","value":true},{"key":"wind_kmh","kind":"number","value":15,"tolerance":0.5}]}
|
n/a
|
b-flat-nogust
|
ms-point-cross
|
ms-point-cross
|
Output
{"raining": true, "wind_kmh": 15}
Reason
All assertions passed |
Output
Thinking: **Extracting Weather Data**
I'm focusing on pinpointing the precise weather conditions for April 6th, 2026, at 08:00 local time. My immediate task is to pull out the rain status and wind speed in kilometers per hour from the provided forecast data.
{"raining": true, "wind_kmh": 15}
Reason
All assertions passed |
Output
{"raining": true, "wind_kmh": 15}
Reason
All assertions passed |
Output
{"raining": true, "wind_kmh": 15}
Reason
All assertions passed |
Output
{"raining": true, "wind_kmh": 15}
Reason
All assertions passed |
Output
{"raining": true, "wind_kmh": 15}
Reason
All assertions passed |
|
{"location":{"name":"Zürich","type":"postal_code","elevation":409,"coordinates":{"lat":47.372289,"lon":8.542189}},"generated":"2026-04-06T04:00:00.000000Z","forecast":[{"date":"2026-04-06","weather":"sunny intervals, light rain in the morning","weather_icon_url":"https://www.meteoschweiz.admin.ch/static/resources/weather-symbols/14.svg","temperature_min_c":0.2,"temperature_max_c":18.5,"precipitation_total_mm":0.3,"sunshine_total_minutes":383,"wind_avg_kmh":8.9,"hourly":[{"time":"2026-04-06T00:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T01:00:00+02:00","temperature_c":1.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T02:00:00+02:00","temperature_c":1,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T03:00:00+02:00","temperature_c":0.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T04:00:00+02:00","temperature_c":0.2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T05:00:00+02:00","temperature_c":0.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8},{"time":"2026-04-06T06:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":10},{"time":"2026-04-06T07:00:00+02:00","temperature_c":4,"precip_mm":0.1,"sunshine_minutes":5,"wind_kmh":12},{"time":"2026-04-06T08:00:00+02:00","temperature_c":6.5,"precip_mm":0.2,"sunshine_minutes":0,"wind_kmh":15},{"time":"2026-04-06T09:00:00+02:00","temperature_c":9,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":12},{"time":"2026-04-06T10:00:00+02:00","temperature_c":11.5,"precip_mm":0,"sunshine_minutes":45,"wind_kmh":10},{"time":"2026-04-06T11:00:00+02:00","temperature_c":13.5,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10},{"time":"2026-04-06T12:00:00+02:00","temperature_c":15,"precip_mm":0,"sunshine_minutes":60,"wind_kmh":8},{"time":"2026-04-06T13:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":58,"wind_kmh":8},{"time":"2026-04-06T14:00:00+02:00","temperature_c":17.8,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10},{"time":"2026-04-06T15:00:00+02:00","temperature_c":18.5,"precip_mm":0,"sunshine_minutes":40,"wind_kmh":12},{"time":"2026-04-06T16:00:00+02:00","temperature_c":18,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":14},{"time":"2026-04-06T17:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":13},{"time":"2026-04-06T18:00:00+02:00","temperature_c":14,"precip_mm":0,"sunshine_minutes":5,"wind_kmh":12},{"time":"2026-04-06T19:00:00+02:00","temperature_c":11,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":10},{"time":"2026-04-06T20:00:00+02:00","temperature_c":8.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8},{"time":"2026-04-06T21:00:00+02:00","temperature_c":6,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":6},{"time":"2026-04-06T22:00:00+02:00","temperature_c":4,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T23:00:00+02:00","temperature_c":2.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5}]}],"source":"MeteoSwiss Open Data"}
|
Which single local hour on 2026-04-06 has the most sunshine? Respond with ONLY a single-line strict JSON object in the exact schema given — no markdown fences, no explanation, no extra keys. Schema: {"hour": "HH:00"}
|
{"key":"hour","kind":"hour","value":12}
|
n/a
|
b-flat-nogust
|
ms-argmax
|
ms-argmax-sunshine
|
Output
{"hour": "12:00"}
Reason
All assertions passed |
Output
Thinking: **Analyzing Weather Data**
I am currently processing the weather forecast data for 2026-04-06. My focus is on pinpointing the precise local hour that will experience the peak of sunshine. I'm ensuring the output adheres strictly to the required JSON format.
{"hour": "12:00"}
Reason
All assertions passed |
Output
{"hour": "12:00"}
Reason
All assertions passed |
Output
{"hour": "12:00"}
Reason
All assertions passed |
Output
{"hour":"12:00"}
Reason
All assertions passed |
Output
{"hour": "12:00"}
Reason
All assertions passed |
|
{"location":{"name":"Zürich","type":"postal_code","elevation":409,"coordinates":{"lat":47.372289,"lon":8.542189}},"generated":"2026-04-06T04:00:00.000000Z","forecast":[{"date":"2026-04-06","weather":"sunny intervals, light rain in the morning","weather_icon_url":"https://www.meteoschweiz.admin.ch/static/resources/weather-symbols/14.svg","temperature_min_c":0.2,"temperature_max_c":18.5,"precipitation_total_mm":0.3,"sunshine_total_minutes":383,"wind_avg_kmh":8.9,"hourly":[{"time":"2026-04-06T00:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T01:00:00+02:00","temperature_c":1.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T02:00:00+02:00","temperature_c":1,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T03:00:00+02:00","temperature_c":0.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T04:00:00+02:00","temperature_c":0.2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T05:00:00+02:00","temperature_c":0.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8},{"time":"2026-04-06T06:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":10},{"time":"2026-04-06T07:00:00+02:00","temperature_c":4,"precip_mm":0.1,"sunshine_minutes":5,"wind_kmh":12},{"time":"2026-04-06T08:00:00+02:00","temperature_c":6.5,"precip_mm":0.2,"sunshine_minutes":0,"wind_kmh":15},{"time":"2026-04-06T09:00:00+02:00","temperature_c":9,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":12},{"time":"2026-04-06T10:00:00+02:00","temperature_c":11.5,"precip_mm":0,"sunshine_minutes":45,"wind_kmh":10},{"time":"2026-04-06T11:00:00+02:00","temperature_c":13.5,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10},{"time":"2026-04-06T12:00:00+02:00","temperature_c":15,"precip_mm":0,"sunshine_minutes":60,"wind_kmh":8},{"time":"2026-04-06T13:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":58,"wind_kmh":8},{"time":"2026-04-06T14:00:00+02:00","temperature_c":17.8,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10},{"time":"2026-04-06T15:00:00+02:00","temperature_c":18.5,"precip_mm":0,"sunshine_minutes":40,"wind_kmh":12},{"time":"2026-04-06T16:00:00+02:00","temperature_c":18,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":14},{"time":"2026-04-06T17:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":13},{"time":"2026-04-06T18:00:00+02:00","temperature_c":14,"precip_mm":0,"sunshine_minutes":5,"wind_kmh":12},{"time":"2026-04-06T19:00:00+02:00","temperature_c":11,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":10},{"time":"2026-04-06T20:00:00+02:00","temperature_c":8.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8},{"time":"2026-04-06T21:00:00+02:00","temperature_c":6,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":6},{"time":"2026-04-06T22:00:00+02:00","temperature_c":4,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T23:00:00+02:00","temperature_c":2.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5}]}],"source":"MeteoSwiss Open Data"}
|
Which single local hour on 2026-04-06 has the highest wind speed? Respond with ONLY a single-line strict JSON object in the exact schema given — no markdown fences, no explanation, no extra keys. Schema: {"hour": "HH:00"}
|
{"key":"hour","kind":"hour","value":8}
|
n/a
|
b-flat-nogust
|
ms-argmax
|
ms-argmax-wind
|
Output
{"hour": "16:00"}
Reason
[wrong] expected hour 8, got "16:00" |
Output
Thinking: **Finding Peak Wind**
I'm currently processing the weather forecast data for April 6th, 2026. My focus is pinpointing the exact local hour that will experience the strongest wind gusts, aiming to extract this precise time for the final output.
{"hour": "08:00"}
Reason
All assertions passed |
Output
{"hour": "16:00"}
Reason
[wrong] expected hour 8, got "16:00" |
Output
{"hour": "16:00"}
Reason
[wrong] expected hour 8, got "16:00" |
Output
{"hour":"16:00"}
Reason
[wrong] expected hour 8, got "16:00" |
Output
{"hour": "16:00"}
Reason
[wrong] expected hour 8, got "16:00" |
|
{"location":{"name":"Zürich","type":"postal_code","elevation":409,"coordinates":{"lat":47.372289,"lon":8.542189}},"generated":"2026-04-06T04:00:00.000000Z","forecast":[{"date":"2026-04-06","weather":"sunny intervals, light rain in the morning","weather_icon_url":"https://www.meteoschweiz.admin.ch/static/resources/weather-symbols/14.svg","temperature_min_c":0.2,"temperature_max_c":18.5,"precipitation_total_mm":0.3,"sunshine_total_minutes":383,"wind_avg_kmh":8.9,"hourly":[{"time":"2026-04-06T00:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T01:00:00+02:00","temperature_c":1.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T02:00:00+02:00","temperature_c":1,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T03:00:00+02:00","temperature_c":0.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T04:00:00+02:00","temperature_c":0.2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T05:00:00+02:00","temperature_c":0.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8},{"time":"2026-04-06T06:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":10},{"time":"2026-04-06T07:00:00+02:00","temperature_c":4,"precip_mm":0.1,"sunshine_minutes":5,"wind_kmh":12},{"time":"2026-04-06T08:00:00+02:00","temperature_c":6.5,"precip_mm":0.2,"sunshine_minutes":0,"wind_kmh":15},{"time":"2026-04-06T09:00:00+02:00","temperature_c":9,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":12},{"time":"2026-04-06T10:00:00+02:00","temperature_c":11.5,"precip_mm":0,"sunshine_minutes":45,"wind_kmh":10},{"time":"2026-04-06T11:00:00+02:00","temperature_c":13.5,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10},{"time":"2026-04-06T12:00:00+02:00","temperature_c":15,"precip_mm":0,"sunshine_minutes":60,"wind_kmh":8},{"time":"2026-04-06T13:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":58,"wind_kmh":8},{"time":"2026-04-06T14:00:00+02:00","temperature_c":17.8,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10},{"time":"2026-04-06T15:00:00+02:00","temperature_c":18.5,"precip_mm":0,"sunshine_minutes":40,"wind_kmh":12},{"time":"2026-04-06T16:00:00+02:00","temperature_c":18,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":14},{"time":"2026-04-06T17:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":13},{"time":"2026-04-06T18:00:00+02:00","temperature_c":14,"precip_mm":0,"sunshine_minutes":5,"wind_kmh":12},{"time":"2026-04-06T19:00:00+02:00","temperature_c":11,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":10},{"time":"2026-04-06T20:00:00+02:00","temperature_c":8.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8},{"time":"2026-04-06T21:00:00+02:00","temperature_c":6,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":6},{"time":"2026-04-06T22:00:00+02:00","temperature_c":4,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T23:00:00+02:00","temperature_c":2.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5}]}],"source":"MeteoSwiss Open Data"}
|
At 13:00 local time on 2026-04-06: is it dry, is there any sunshine, and is it calm (wind under 10 km/h)? Respond with ONLY a single-line strict JSON object in the exact schema given — no markdown fences, no explanation, no extra keys. Schema: {"dry": true | false, "sunny": true | false, "calm": true | false}
|
{"kind":"compound","parts":[{"key":"dry","kind":"bool","value":true},{"key":"sunny","kind":"bool","value":true},{"key":"calm","kind":"bool","value":true}]}
|
n/a
|
b-flat-nogust
|
ms-point-cross
|
ms-compound-1300
|
Output
{"dry": true, "sunny": true, "calm": true}
Reason
All assertions passed |
Output
Thinking: **Analyzing Weather Data**
I'm currently focused on dissecting the provided JSON weather forecast. My immediate objective is to extract the relevant data for April 6th, 2026, specifically at 13:00 local time, to determine if the conditions are dry.
{"dry": true, "sunny": true, "calm": true}
Reason
All assertions passed |
Output
{"dry": true, "sunny": true, "calm": false}
Reason
[partial] expected true, got true; expected true, got true; expected true, got false |
Output
{"dry": true, "sunny": true, "calm": true}
Reason
All assertions passed |
Output
{"dry": true, "sunny": true, "calm": false}
Reason
[partial] expected true, got true; expected true, got true; expected true, got false |
Output
{"dry": true, "sunny": true, "calm": false}
Reason
[partial] expected true, got true; expected true, got true; expected true, got false |
|
{"location":{"name":"Zürich","type":"postal_code","elevation":409,"coordinates":{"lat":47.372289,"lon":8.542189}},"generated":"2026-04-06T04:00:00.000000Z","forecast":[{"date":"2026-04-06","weather":"sunny intervals, light rain in the morning","weather_icon_url":"https://www.meteoschweiz.admin.ch/static/resources/weather-symbols/14.svg","temperature_min_c":0.2,"temperature_max_c":18.5,"precipitation_total_mm":0.3,"sunshine_total_minutes":383,"wind_avg_kmh":8.9,"hourly":[{"time":"2026-04-06T00:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T01:00:00+02:00","temperature_c":1.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T02:00:00+02:00","temperature_c":1,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T03:00:00+02:00","temperature_c":0.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T04:00:00+02:00","temperature_c":0.2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T05:00:00+02:00","temperature_c":0.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8},{"time":"2026-04-06T06:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":10},{"time":"2026-04-06T07:00:00+02:00","temperature_c":4,"precip_mm":0.1,"sunshine_minutes":5,"wind_kmh":12},{"time":"2026-04-06T08:00:00+02:00","temperature_c":6.5,"precip_mm":0.2,"sunshine_minutes":0,"wind_kmh":15},{"time":"2026-04-06T09:00:00+02:00","temperature_c":9,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":12},{"time":"2026-04-06T10:00:00+02:00","temperature_c":11.5,"precip_mm":0,"sunshine_minutes":45,"wind_kmh":10},{"time":"2026-04-06T11:00:00+02:00","temperature_c":13.5,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10},{"time":"2026-04-06T12:00:00+02:00","temperature_c":15,"precip_mm":0,"sunshine_minutes":60,"wind_kmh":8},{"time":"2026-04-06T13:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":58,"wind_kmh":8},{"time":"2026-04-06T14:00:00+02:00","temperature_c":17.8,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10},{"time":"2026-04-06T15:00:00+02:00","temperature_c":18.5,"precip_mm":0,"sunshine_minutes":40,"wind_kmh":12},{"time":"2026-04-06T16:00:00+02:00","temperature_c":18,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":14},{"time":"2026-04-06T17:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":13},{"time":"2026-04-06T18:00:00+02:00","temperature_c":14,"precip_mm":0,"sunshine_minutes":5,"wind_kmh":12},{"time":"2026-04-06T19:00:00+02:00","temperature_c":11,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":10},{"time":"2026-04-06T20:00:00+02:00","temperature_c":8.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8},{"time":"2026-04-06T21:00:00+02:00","temperature_c":6,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":6},{"time":"2026-04-06T22:00:00+02:00","temperature_c":4,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T23:00:00+02:00","temperature_c":2.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5}]}],"source":"MeteoSwiss Open Data"}
|
What is the total sunshine in minutes for 2026-04-06, and does it match summing the hourly sunshine series (allow rounding)? Respond with ONLY a single-line strict JSON object in the exact schema given — no markdown fences, no explanation, no extra keys. Schema: {"total_minutes": <number>, "matches_hourly_sum": true | false}
|
{"kind":"compound","parts":[{"key":"total_minutes","kind":"number","value":383,"tolerance":1},{"key":"matches_hourly_sum","kind":"bool","value":true}]}
|
n/a
|
b-flat-nogust
|
ms-cross-field
|
ms-sunshine-total
|
Output
Sum of hourly: 10+5+20+45+55+60+58+55+40+20+10+5 = 383
{"total_minutes": 383, "matches_hourly_sum": true}
Reason
All assertions passed |
Output
Thinking: **Analyzing Weather Data**
I'm currently processing the weather forecast data to pinpoint the total sunshine for April 6th, 2026. My focus is on verifying that this aggregate figure aligns perfectly with the sum of the individual hourly sunshine readings.
{"total_minutes": 383, "matches_hourly_sum": true}
Reason
All assertions passed |
Output
{"total_minutes": 383, "matches_hourly_sum": true}
Reason
All assertions passed |
Output
{"total_minutes": 383, "matches_hourly_sum": true}
Reason
All assertions passed |
Output
{"total_minutes": 383, "matches_hourly_sum": true}
Reason
All assertions passed |
Output
{"total_minutes": 383, "matches_hourly_sum": true}
Reason
All assertions passed |
|
{"location":{"name":"Zürich","type":"postal_code","elevation":409,"coordinates":{"lat":47.372289,"lon":8.542189}},"generated":"2026-04-06T04:00:00.000000Z","forecast":[{"date":"2026-04-06","weather":"sunny intervals, light rain in the morning","weather_icon_url":"https://www.meteoschweiz.admin.ch/static/resources/weather-symbols/14.svg","temperature_min_c":0.2,"temperature_max_c":18.5,"precipitation_total_mm":0.3,"sunshine_total_minutes":383,"wind_avg_kmh":8.9,"hourly":[{"time":"2026-04-06T00:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T01:00:00+02:00","temperature_c":1.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T02:00:00+02:00","temperature_c":1,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T03:00:00+02:00","temperature_c":0.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T04:00:00+02:00","temperature_c":0.2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T05:00:00+02:00","temperature_c":0.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8},{"time":"2026-04-06T06:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":10},{"time":"2026-04-06T07:00:00+02:00","temperature_c":4,"precip_mm":0.1,"sunshine_minutes":5,"wind_kmh":12},{"time":"2026-04-06T08:00:00+02:00","temperature_c":6.5,"precip_mm":0.2,"sunshine_minutes":0,"wind_kmh":15},{"time":"2026-04-06T09:00:00+02:00","temperature_c":9,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":12},{"time":"2026-04-06T10:00:00+02:00","temperature_c":11.5,"precip_mm":0,"sunshine_minutes":45,"wind_kmh":10},{"time":"2026-04-06T11:00:00+02:00","temperature_c":13.5,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10},{"time":"2026-04-06T12:00:00+02:00","temperature_c":15,"precip_mm":0,"sunshine_minutes":60,"wind_kmh":8},{"time":"2026-04-06T13:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":58,"wind_kmh":8},{"time":"2026-04-06T14:00:00+02:00","temperature_c":17.8,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10},{"time":"2026-04-06T15:00:00+02:00","temperature_c":18.5,"precip_mm":0,"sunshine_minutes":40,"wind_kmh":12},{"time":"2026-04-06T16:00:00+02:00","temperature_c":18,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":14},{"time":"2026-04-06T17:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":13},{"time":"2026-04-06T18:00:00+02:00","temperature_c":14,"precip_mm":0,"sunshine_minutes":5,"wind_kmh":12},{"time":"2026-04-06T19:00:00+02:00","temperature_c":11,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":10},{"time":"2026-04-06T20:00:00+02:00","temperature_c":8.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8},{"time":"2026-04-06T21:00:00+02:00","temperature_c":6,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":6},{"time":"2026-04-06T22:00:00+02:00","temperature_c":4,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T23:00:00+02:00","temperature_c":2.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5}]}],"source":"MeteoSwiss Open Data"}
|
Which single local hour on 2026-04-06 has the most rainfall? Respond with ONLY a single-line strict JSON object in the exact schema given — no markdown fences, no explanation, no extra keys. Schema: {"hour": "HH:00"}
|
{"key":"hour","kind":"hour","value":8}
|
n/a
|
b-flat-nogust
|
ms-argmax
|
ms-argmax-precip
|
Output
{"hour": "08:00"}
Reason
All assertions passed |
Output
Thinking: **Finding Peak Rainfall**
I'm currently processing the weather forecast data to pinpoint the precise local hour on April 6th, 2026, that is projected to receive the maximum amount of precipitation. My focus is on extracting and comparing the rainfall figures for each individual hour within that specific day.
{"hour": "08:00"}
Reason
All assertions passed |
Output
{"hour": "08:00"}
Reason
All assertions passed |
Output
{"hour": "08:00"}
Reason
All assertions passed |
Output
{"hour":"07:00"}
Reason
[wrong] expected hour 8, got "07:00" |
Output
{"hour": "08:00"}
Reason
All assertions passed |
|
{"location":{"name":"Zürich","type":"postal_code","elevation":409,"coordinates":{"lat":47.372289,"lon":8.542189}},"generated":"2026-04-06T04:00:00.000000Z","forecast":[{"date":"2026-04-06","weather":"sunny intervals, light rain in the morning","weather_icon_url":"https://www.meteoschweiz.admin.ch/static/resources/weather-symbols/14.svg","temperature_min_c":0.2,"temperature_max_c":18.5,"precipitation_total_mm":0.3,"sunshine_total_minutes":383,"wind_avg_kmh":8.9,"hourly":[{"time":"2026-04-06T00:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T01:00:00+02:00","temperature_c":1.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T02:00:00+02:00","temperature_c":1,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T03:00:00+02:00","temperature_c":0.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T04:00:00+02:00","temperature_c":0.2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T05:00:00+02:00","temperature_c":0.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8},{"time":"2026-04-06T06:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":10},{"time":"2026-04-06T07:00:00+02:00","temperature_c":4,"precip_mm":0.1,"sunshine_minutes":5,"wind_kmh":12},{"time":"2026-04-06T08:00:00+02:00","temperature_c":6.5,"precip_mm":0.2,"sunshine_minutes":0,"wind_kmh":15},{"time":"2026-04-06T09:00:00+02:00","temperature_c":9,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":12},{"time":"2026-04-06T10:00:00+02:00","temperature_c":11.5,"precip_mm":0,"sunshine_minutes":45,"wind_kmh":10},{"time":"2026-04-06T11:00:00+02:00","temperature_c":13.5,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10},{"time":"2026-04-06T12:00:00+02:00","temperature_c":15,"precip_mm":0,"sunshine_minutes":60,"wind_kmh":8},{"time":"2026-04-06T13:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":58,"wind_kmh":8},{"time":"2026-04-06T14:00:00+02:00","temperature_c":17.8,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10},{"time":"2026-04-06T15:00:00+02:00","temperature_c":18.5,"precip_mm":0,"sunshine_minutes":40,"wind_kmh":12},{"time":"2026-04-06T16:00:00+02:00","temperature_c":18,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":14},{"time":"2026-04-06T17:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":13},{"time":"2026-04-06T18:00:00+02:00","temperature_c":14,"precip_mm":0,"sunshine_minutes":5,"wind_kmh":12},{"time":"2026-04-06T19:00:00+02:00","temperature_c":11,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":10},{"time":"2026-04-06T20:00:00+02:00","temperature_c":8.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8},{"time":"2026-04-06T21:00:00+02:00","temperature_c":6,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":6},{"time":"2026-04-06T22:00:00+02:00","temperature_c":4,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T23:00:00+02:00","temperature_c":2.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5}]}],"source":"MeteoSwiss Open Data"}
|
Which single local hour on 2026-04-06 is BEST for a walk: it must be dry (0mm rain), have some sunshine (more than 0 minutes), and be calm (wind under 10 km/h)? If more than one hour qualifies, pick the one with the most sunshine. Respond with ONLY a single-line strict JSON object in the exact schema given — no markdown fences, no explanation, no extra keys. Schema: {"hour": "HH:00"}
|
{"key":"hour","kind":"hour","value":12}
|
n/a
|
b-flat-nogust
|
ms-compound-argmax
|
ms-best-walk-hour
|
Output
{"hour": "12:00"}
Reason
All assertions passed |
Output
Thinking: **Analyzing Weather Data**
I'm currently sifting through the Zürich forecast for April 6th, 2026. My focus is identifying the optimal hour for a walk, specifically looking for periods of complete dryness and ample sunshine.
**Refining Search Criteria**
I'm refining my hour selection logic. I've discovered a subtle error in my wind speed condition; it needs to be strictly less than 10 km/h, not less than or equal to. This has already excluded several otherwise suitable hours.
{"hour": "12:00"}
Reason
All assertions passed |
Output
{"hour": "06:00"}
Reason
[wrong] expected hour 12, got "06:00" |
Output
{"hour": "12:00"}
Reason
All assertions passed |
Output
{"hour":"11:00"}
Reason
[wrong] expected hour 12, got "11:00" |
Output
{"hour": "13:00"}
Reason
[wrong] expected hour 12, got "13:00" |
|
{"location":{"name":"Zürich","type":"postal_code","elevation":409,"coordinates":{"lat":47.372289,"lon":8.542189}},"generated":"2026-04-06T04:00:00.000000Z","forecast":[{"date":"2026-04-06","weather":"sunny intervals, light rain in the morning","weather_icon_url":"https://www.meteoschweiz.admin.ch/static/resources/weather-symbols/14.svg","temperature_min_c":0.2,"temperature_max_c":18.5,"precipitation_total_mm":0.3,"sunshine_total_minutes":383,"wind_avg_kmh":8.9,"hourly":[{"time":"2026-04-06T00:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T01:00:00+02:00","temperature_c":1.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T02:00:00+02:00","temperature_c":1,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T03:00:00+02:00","temperature_c":0.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T04:00:00+02:00","temperature_c":0.2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T05:00:00+02:00","temperature_c":0.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8},{"time":"2026-04-06T06:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":10},{"time":"2026-04-06T07:00:00+02:00","temperature_c":4,"precip_mm":0.1,"sunshine_minutes":5,"wind_kmh":12},{"time":"2026-04-06T08:00:00+02:00","temperature_c":6.5,"precip_mm":0.2,"sunshine_minutes":0,"wind_kmh":15},{"time":"2026-04-06T09:00:00+02:00","temperature_c":9,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":12},{"time":"2026-04-06T10:00:00+02:00","temperature_c":11.5,"precip_mm":0,"sunshine_minutes":45,"wind_kmh":10},{"time":"2026-04-06T11:00:00+02:00","temperature_c":13.5,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10},{"time":"2026-04-06T12:00:00+02:00","temperature_c":15,"precip_mm":0,"sunshine_minutes":60,"wind_kmh":8},{"time":"2026-04-06T13:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":58,"wind_kmh":8},{"time":"2026-04-06T14:00:00+02:00","temperature_c":17.8,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10},{"time":"2026-04-06T15:00:00+02:00","temperature_c":18.5,"precip_mm":0,"sunshine_minutes":40,"wind_kmh":12},{"time":"2026-04-06T16:00:00+02:00","temperature_c":18,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":14},{"time":"2026-04-06T17:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":13},{"time":"2026-04-06T18:00:00+02:00","temperature_c":14,"precip_mm":0,"sunshine_minutes":5,"wind_kmh":12},{"time":"2026-04-06T19:00:00+02:00","temperature_c":11,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":10},{"time":"2026-04-06T20:00:00+02:00","temperature_c":8.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8},{"time":"2026-04-06T21:00:00+02:00","temperature_c":6,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":6},{"time":"2026-04-06T22:00:00+02:00","temperature_c":4,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T23:00:00+02:00","temperature_c":2.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5}]}],"source":"MeteoSwiss Open Data"}
|
Is there a local hour on 2026-04-06 that is both completely dry (0mm rain) AND has wind of at least 14 km/h? If yes, give the earliest such hour; if no, say so. Respond with ONLY a single-line strict JSON object in the exact schema given — no markdown fences, no explanation, no extra keys. Schema: {"exists": true | false, "hour": "HH:00"}
|
{"kind":"compound","parts":[{"key":"exists","kind":"bool","value":true},{"key":"hour","kind":"hour","value":16}]}
|
n/a
|
b-flat-nogust
|
ms-existence
|
ms-windy-dry-hour
|
Output
{"exists": true, "hour": "16:00"}
Reason
All assertions passed |
Output
Thinking: **Finding Optimal Hour**
I am currently evaluating available data to identify a specific hour on 2026-04-06 that meets both precipitation and wind speed criteria. My aim is to pinpoint the earliest occurrence of an hour with zero rain and wind speeds of 14 km/h or greater.
{"exists": true, "hour": "16:00"}
Reason
All assertions passed |
Output
{"exists": true, "hour": "16:00"}
Reason
All assertions passed |
Output
{"exists": true, "hour": "16:00"}
Reason
All assertions passed |
Output
{"exists": true, "hour": "07:00"}
Reason
[partial] expected true, got true; expected hour 16, got "07:00" |
Output
{"exists": true, "hour": "16:00"}
Reason
All assertions passed |
|
{"location":{"name":"Zürich","type":"postal_code","elevation":409,"coordinates":{"lat":47.372289,"lon":8.542189}},"generated":"2026-04-06T04:00:00.000000Z","forecast":[{"date":"2026-04-06","weather":"sunny intervals, light rain in the morning","weather_icon_url":"https://www.meteoschweiz.admin.ch/static/resources/weather-symbols/14.svg","temperature_min_c":0.2,"temperature_max_c":18.5,"precipitation_total_mm":0.3,"sunshine_total_minutes":383,"wind_avg_kmh":8.9,"hourly":[{"time":"2026-04-06T00:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T01:00:00+02:00","temperature_c":1.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T02:00:00+02:00","temperature_c":1,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T03:00:00+02:00","temperature_c":0.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T04:00:00+02:00","temperature_c":0.2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T05:00:00+02:00","temperature_c":0.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8},{"time":"2026-04-06T06:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":10},{"time":"2026-04-06T07:00:00+02:00","temperature_c":4,"precip_mm":0.1,"sunshine_minutes":5,"wind_kmh":12},{"time":"2026-04-06T08:00:00+02:00","temperature_c":6.5,"precip_mm":0.2,"sunshine_minutes":0,"wind_kmh":15},{"time":"2026-04-06T09:00:00+02:00","temperature_c":9,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":12},{"time":"2026-04-06T10:00:00+02:00","temperature_c":11.5,"precip_mm":0,"sunshine_minutes":45,"wind_kmh":10},{"time":"2026-04-06T11:00:00+02:00","temperature_c":13.5,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10},{"time":"2026-04-06T12:00:00+02:00","temperature_c":15,"precip_mm":0,"sunshine_minutes":60,"wind_kmh":8},{"time":"2026-04-06T13:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":58,"wind_kmh":8},{"time":"2026-04-06T14:00:00+02:00","temperature_c":17.8,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10},{"time":"2026-04-06T15:00:00+02:00","temperature_c":18.5,"precip_mm":0,"sunshine_minutes":40,"wind_kmh":12},{"time":"2026-04-06T16:00:00+02:00","temperature_c":18,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":14},{"time":"2026-04-06T17:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":13},{"time":"2026-04-06T18:00:00+02:00","temperature_c":14,"precip_mm":0,"sunshine_minutes":5,"wind_kmh":12},{"time":"2026-04-06T19:00:00+02:00","temperature_c":11,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":10},{"time":"2026-04-06T20:00:00+02:00","temperature_c":8.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8},{"time":"2026-04-06T21:00:00+02:00","temperature_c":6,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":6},{"time":"2026-04-06T22:00:00+02:00","temperature_c":4,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T23:00:00+02:00","temperature_c":2.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5}]}],"source":"MeteoSwiss Open Data"}
|
At 19:00 local time on 2026-04-06: is it dry, is there any sunshine, and is it windy (wind at or above 10 km/h)? Respond with ONLY a single-line strict JSON object in the exact schema given — no markdown fences, no explanation, no extra keys. Schema: {"dry": true | false, "sunny": true | false, "windy": true | false}
|
{"kind":"compound","parts":[{"key":"dry","kind":"bool","value":true},{"key":"sunny","kind":"bool","value":false},{"key":"windy","kind":"bool","value":true}]}
|
n/a
|
b-flat-nogust
|
ms-point-cross
|
ms-point-1900
|
Output
{"dry": true, "sunny": false, "windy": true}
Reason
All assertions passed |
Output
Thinking: **Analyzing Weather Forecast**
I am currently processing the provided weather forecast data, focusing specifically on the conditions anticipated for April 6th, 2026, at 7 PM local time. My immediate goal is to determine if the forecast indicates dry weather for that specific period.
{"dry": true, "sunny": false, "windy": true}
Reason
All assertions passed |
Output
{"dry": true, "sunny": false, "windy": true}
Reason
All assertions passed |
Output
{"dry": true, "sunny": false, "windy": true}
Reason
All assertions passed |
Output
I will check the hourly data for 2026-04-06T19:00:00+02:00 and extract dryness (precip_mm == 0), sunshine_minutes >0, and wind_kmh >=10 to determine dry, sunny, windy booleans.
{"dry": true, "sunny": false, "windy": true}
Reason
All assertions passed |
Output
{"dry": true, "sunny": false, "windy": true}
Reason
All assertions passed |
|
{"location":{"name":"Zürich","type":"postal_code","elevation":409,"coordinates":{"lat":47.372289,"lon":8.542189}},"generated":"2026-04-06T04:00:00.000000Z","forecast":[{"date":"2026-04-06","weather":"sunny intervals, light rain in the morning","weather_icon_url":"https://www.meteoschweiz.admin.ch/static/resources/weather-symbols/14.svg","temperature_min_c":0.2,"temperature_max_c":18.5,"precipitation_total_mm":0.3,"sunshine_total_minutes":383,"wind_avg_kmh":8.9,"hourly":[{"time":"2026-04-06T00:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T01:00:00+02:00","temperature_c":1.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T02:00:00+02:00","temperature_c":1,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T03:00:00+02:00","temperature_c":0.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T04:00:00+02:00","temperature_c":0.2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T05:00:00+02:00","temperature_c":0.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8},{"time":"2026-04-06T06:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":10},{"time":"2026-04-06T07:00:00+02:00","temperature_c":4,"precip_mm":0.1,"sunshine_minutes":5,"wind_kmh":12},{"time":"2026-04-06T08:00:00+02:00","temperature_c":6.5,"precip_mm":0.2,"sunshine_minutes":0,"wind_kmh":15},{"time":"2026-04-06T09:00:00+02:00","temperature_c":9,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":12},{"time":"2026-04-06T10:00:00+02:00","temperature_c":11.5,"precip_mm":0,"sunshine_minutes":45,"wind_kmh":10},{"time":"2026-04-06T11:00:00+02:00","temperature_c":13.5,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10},{"time":"2026-04-06T12:00:00+02:00","temperature_c":15,"precip_mm":0,"sunshine_minutes":60,"wind_kmh":8},{"time":"2026-04-06T13:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":58,"wind_kmh":8},{"time":"2026-04-06T14:00:00+02:00","temperature_c":17.8,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10},{"time":"2026-04-06T15:00:00+02:00","temperature_c":18.5,"precip_mm":0,"sunshine_minutes":40,"wind_kmh":12},{"time":"2026-04-06T16:00:00+02:00","temperature_c":18,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":14},{"time":"2026-04-06T17:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":13},{"time":"2026-04-06T18:00:00+02:00","temperature_c":14,"precip_mm":0,"sunshine_minutes":5,"wind_kmh":12},{"time":"2026-04-06T19:00:00+02:00","temperature_c":11,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":10},{"time":"2026-04-06T20:00:00+02:00","temperature_c":8.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8},{"time":"2026-04-06T21:00:00+02:00","temperature_c":6,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":6},{"time":"2026-04-06T22:00:00+02:00","temperature_c":4,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T23:00:00+02:00","temperature_c":2.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5}]}],"source":"MeteoSwiss Open Data"}
|
What is the average wind speed in km/h for 2026-04-06, and does it match averaging the hourly wind series (allow rounding)? Respond with ONLY a single-line strict JSON object in the exact schema given — no markdown fences, no explanation, no extra keys. Schema: {"avg_kmh": <number>, "matches_hourly_avg": true | false}
|
{"kind":"compound","parts":[{"key":"avg_kmh","kind":"number","value":8.9,"tolerance":0.5},{"key":"matches_hourly_avg","kind":"bool","value":true}]}
|
n/a
|
b-flat-nogust
|
ms-cross-field
|
ms-wind-avg-check
|
Output
{"avg_kmh": 8.9, "matches_hourly_avg": true}
Reason
All assertions passed |
Output
Thinking: **Calculating Wind Speed**
I'm currently comparing the overall average wind speed from the JSON data, which is 8.9 km/h, against the average derived from the hourly wind readings. The initial hourly data I've processed shows speeds around 5 km/h.
{"avg_kmh": 8.9, "matches_hourly_avg": true}
Reason
All assertions passed |
Output
{"avg_kmh": 8.9, "matches_hourly_avg": true}
Reason
All assertions passed |
Output
{"avg_kmh": 8.9, "matches_hourly_avg": true}
Reason
All assertions passed |
Output
{"avg_kmh": 9.125, "matches_hourly_avg": true}
Reason
All assertions passed |
Output
{"avg_kmh": 9.777777777777778, "matches_hourly_avg": true}
Reason
[partial] expected 8.9±0.5, got 9.777777777777779; expected true, got true |
|
{"location":{"name":"Zürich","type":"postal_code","elevation":409,"coordinates":{"lat":47.372289,"lon":8.542189}},"generated":"2026-04-06T04:00:00.000000Z","forecast":[{"date":"2026-04-06","weather":"sunny intervals, light rain in the morning","weather_icon_url":"https://www.meteoschweiz.admin.ch/static/resources/weather-symbols/14.svg","temperature_min_c":0.2,"temperature_max_c":18.5,"precipitation_total_mm":0.3,"sunshine_total_minutes":383,"wind_avg_kmh":8.9,"hourly":[{"time":"2026-04-06T00:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T01:00:00+02:00","temperature_c":1.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T02:00:00+02:00","temperature_c":1,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T03:00:00+02:00","temperature_c":0.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T04:00:00+02:00","temperature_c":0.2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T05:00:00+02:00","temperature_c":0.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8},{"time":"2026-04-06T06:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":10},{"time":"2026-04-06T07:00:00+02:00","temperature_c":4,"precip_mm":0.1,"sunshine_minutes":5,"wind_kmh":12},{"time":"2026-04-06T08:00:00+02:00","temperature_c":6.5,"precip_mm":0.2,"sunshine_minutes":0,"wind_kmh":15},{"time":"2026-04-06T09:00:00+02:00","temperature_c":9,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":12},{"time":"2026-04-06T10:00:00+02:00","temperature_c":11.5,"precip_mm":0,"sunshine_minutes":45,"wind_kmh":10},{"time":"2026-04-06T11:00:00+02:00","temperature_c":13.5,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10},{"time":"2026-04-06T12:00:00+02:00","temperature_c":15,"precip_mm":0,"sunshine_minutes":60,"wind_kmh":8},{"time":"2026-04-06T13:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":58,"wind_kmh":8},{"time":"2026-04-06T14:00:00+02:00","temperature_c":17.8,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10},{"time":"2026-04-06T15:00:00+02:00","temperature_c":18.5,"precip_mm":0,"sunshine_minutes":40,"wind_kmh":12},{"time":"2026-04-06T16:00:00+02:00","temperature_c":18,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":14},{"time":"2026-04-06T17:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":13},{"time":"2026-04-06T18:00:00+02:00","temperature_c":14,"precip_mm":0,"sunshine_minutes":5,"wind_kmh":12},{"time":"2026-04-06T19:00:00+02:00","temperature_c":11,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":10},{"time":"2026-04-06T20:00:00+02:00","temperature_c":8.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8},{"time":"2026-04-06T21:00:00+02:00","temperature_c":6,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":6},{"time":"2026-04-06T22:00:00+02:00","temperature_c":4,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T23:00:00+02:00","temperature_c":2.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5}]}],"source":"MeteoSwiss Open Data"}
|
What is the total precipitation in mm for 2026-04-06, and does it match summing the hourly precipitation series (allow rounding)? Respond with ONLY a single-line strict JSON object in the exact schema given — no markdown fences, no explanation, no extra keys. Schema: {"total_mm": <number>, "matches_hourly_sum": true | false}
|
{"kind":"compound","parts":[{"key":"total_mm","kind":"number","value":0.3,"tolerance":0.05},{"key":"matches_hourly_sum","kind":"bool","value":true}]}
|
n/a
|
b-flat-nogust
|
ms-cross-field
|
ms-precip-total-check
|
Output
{"total_mm": 0.3, "matches_hourly_sum": true}
Reason
All assertions passed |
Output
Thinking: **Calculating Precipitation**
I'm currently analyzing the precipitation data. My focus is on the total for April 6th, 2026, specifically comparing the `precipitation_total_mm` value with the sum of individual hourly readings to ensure accuracy.
{"total_mm": 0.3, "matches_hourly_sum": true}
Reason
All assertions passed |
Output
{"total_mm": 0.3, "matches_hourly_sum": true}
Reason
All assertions passed |
Output
{"total_mm": 0.3, "matches_hourly_sum": true}
Reason
All assertions passed |
Output
{"total_mm":0.3,"matches_hourly_sum":true}
Reason
All assertions passed |
Output
{"total_mm": 0.3, "matches_hourly_sum": true}
Reason
All assertions passed |
|
{"location":{"name":"Zürich","type":"postal_code","elevation":409,"coordinates":{"lat":47.372289,"lon":8.542189}},"generated":"2026-04-06T04:00:00.000000Z","forecast":[{"date":"2026-04-06","weather":"sunny intervals, light rain in the morning","weather_icon_url":"https://www.meteoschweiz.admin.ch/static/resources/weather-symbols/14.svg","temperature_min_c":0.2,"temperature_max_c":18.5,"precipitation_total_mm":0.3,"sunshine_total_minutes":383,"wind_avg_kmh":8.9,"hourly":[{"time":"2026-04-06T00:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T01:00:00+02:00","temperature_c":1.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T02:00:00+02:00","temperature_c":1,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T03:00:00+02:00","temperature_c":0.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T04:00:00+02:00","temperature_c":0.2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T05:00:00+02:00","temperature_c":0.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8},{"time":"2026-04-06T06:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":10},{"time":"2026-04-06T07:00:00+02:00","temperature_c":4,"precip_mm":0.1,"sunshine_minutes":5,"wind_kmh":12},{"time":"2026-04-06T08:00:00+02:00","temperature_c":6.5,"precip_mm":0.2,"sunshine_minutes":0,"wind_kmh":15},{"time":"2026-04-06T09:00:00+02:00","temperature_c":9,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":12},{"time":"2026-04-06T10:00:00+02:00","temperature_c":11.5,"precip_mm":0,"sunshine_minutes":45,"wind_kmh":10},{"time":"2026-04-06T11:00:00+02:00","temperature_c":13.5,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10},{"time":"2026-04-06T12:00:00+02:00","temperature_c":15,"precip_mm":0,"sunshine_minutes":60,"wind_kmh":8},{"time":"2026-04-06T13:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":58,"wind_kmh":8},{"time":"2026-04-06T14:00:00+02:00","temperature_c":17.8,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10},{"time":"2026-04-06T15:00:00+02:00","temperature_c":18.5,"precip_mm":0,"sunshine_minutes":40,"wind_kmh":12},{"time":"2026-04-06T16:00:00+02:00","temperature_c":18,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":14},{"time":"2026-04-06T17:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":13},{"time":"2026-04-06T18:00:00+02:00","temperature_c":14,"precip_mm":0,"sunshine_minutes":5,"wind_kmh":12},{"time":"2026-04-06T19:00:00+02:00","temperature_c":11,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":10},{"time":"2026-04-06T20:00:00+02:00","temperature_c":8.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8},{"time":"2026-04-06T21:00:00+02:00","temperature_c":6,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":6},{"time":"2026-04-06T22:00:00+02:00","temperature_c":4,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T23:00:00+02:00","temperature_c":2.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5}]}],"source":"MeteoSwiss Open Data"}
|
Which single local hour on 2026-04-06 has the highest temperature? Respond with ONLY a single-line strict JSON object in the exact schema given — no markdown fences, no explanation, no extra keys. Schema: {"hour": "HH:00"}
|
{"key":"hour","kind":"hour","value":15}
|
n/a
|
b-flat-nogust
|
ms-argmax
|
ms-argmax-temp
|
Output
{"hour": "15:00"}
Reason
All assertions passed |
Output
Thinking: **Finding Peak Temperature**
I am currently processing the provided weather forecast data. My focus is on isolating the precise local hour on April 6th, 2026, that exhibits the maximum temperature value within the dataset. The output will be a strict, single-line JSON object representing this finding.
{"hour": "15:00"}
Reason
All assertions passed |
Output
{"hour": "15:00"}
Reason
All assertions passed |
Output
{"hour": "15:00"}
Reason
All assertions passed |
Output
{"hour":"15:00"}
Reason
All assertions passed |
Output
{"hour": "15:00"}
Reason
All assertions passed |
|
{"location":{"name":"Zürich","type":"postal_code","elevation":409,"coordinates":{"lat":47.372289,"lon":8.542189}},"generated":"2026-04-06T04:00:00.000000Z","forecast":[{"date":"2026-04-06","weather":"sunny intervals, light rain in the morning","weather_icon_url":"https://www.meteoschweiz.admin.ch/static/resources/weather-symbols/14.svg","temperature_min_c":0.2,"temperature_max_c":18.5,"precipitation_total_mm":0.3,"sunshine_total_minutes":383,"wind_avg_kmh":8.9,"hourly":[{"time":"2026-04-06T00:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T01:00:00+02:00","temperature_c":1.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T02:00:00+02:00","temperature_c":1,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T03:00:00+02:00","temperature_c":0.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T04:00:00+02:00","temperature_c":0.2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T05:00:00+02:00","temperature_c":0.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8},{"time":"2026-04-06T06:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":10},{"time":"2026-04-06T07:00:00+02:00","temperature_c":4,"precip_mm":0.1,"sunshine_minutes":5,"wind_kmh":12},{"time":"2026-04-06T08:00:00+02:00","temperature_c":6.5,"precip_mm":0.2,"sunshine_minutes":0,"wind_kmh":15},{"time":"2026-04-06T09:00:00+02:00","temperature_c":9,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":12},{"time":"2026-04-06T10:00:00+02:00","temperature_c":11.5,"precip_mm":0,"sunshine_minutes":45,"wind_kmh":10},{"time":"2026-04-06T11:00:00+02:00","temperature_c":13.5,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10},{"time":"2026-04-06T12:00:00+02:00","temperature_c":15,"precip_mm":0,"sunshine_minutes":60,"wind_kmh":8},{"time":"2026-04-06T13:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":58,"wind_kmh":8},{"time":"2026-04-06T14:00:00+02:00","temperature_c":17.8,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10},{"time":"2026-04-06T15:00:00+02:00","temperature_c":18.5,"precip_mm":0,"sunshine_minutes":40,"wind_kmh":12},{"time":"2026-04-06T16:00:00+02:00","temperature_c":18,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":14},{"time":"2026-04-06T17:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":13},{"time":"2026-04-06T18:00:00+02:00","temperature_c":14,"precip_mm":0,"sunshine_minutes":5,"wind_kmh":12},{"time":"2026-04-06T19:00:00+02:00","temperature_c":11,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":10},{"time":"2026-04-06T20:00:00+02:00","temperature_c":8.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8},{"time":"2026-04-06T21:00:00+02:00","temperature_c":6,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":6},{"time":"2026-04-06T22:00:00+02:00","temperature_c":4,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T23:00:00+02:00","temperature_c":2.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5}]}],"source":"MeteoSwiss Open Data"}
|
What is the maximum temperature in °C for 2026-04-06, and does it match the highest reading in the hourly temperature series (allow rounding)? Respond with ONLY a single-line strict JSON object in the exact schema given — no markdown fences, no explanation, no extra keys. Schema: {"max_c": <number>, "matches_hourly_max": true | false}
|
{"kind":"compound","parts":[{"key":"max_c","kind":"number","value":18.5,"tolerance":0.5},{"key":"matches_hourly_max","kind":"bool","value":true}]}
|
n/a
|
b-flat-nogust
|
ms-cross-field
|
ms-temp-max-check
|
Output
{"max_c": 18.5, "matches_hourly_max": true}
Reason
All assertions passed |
Output
Thinking: **Analyzing Weather Data**
I'm currently processing the provided weather forecast data. My focus is on pinpointing the maximum temperature for April 6th, 2026, and then cross-referencing that value against the peak of the hourly temperature readings, accounting for potential minor discrepancies due to rounding.
{"max_c": 18.5, "matches_hourly_max": true}
Reason
All assertions passed |
Output
{"max_c": 18.5, "matches_hourly_max": true}
Reason
All assertions passed |
Output
{"max_c": 18.5, "matches_hourly_max": true}
Reason
All assertions passed |
Output
{"max_c": 18.5, "matches_hourly_max": true}
Reason
All assertions passed |
Output
{"max_c": 18.5, "matches_hourly_max": true}
Reason
All assertions passed |
|
{"location":{"name":"Zürich","type":"postal_code","elevation":409,"coordinates":{"lat":47.372289,"lon":8.542189}},"generated":"2026-04-06T04:00:00.000000Z","forecast":[{"date":"2026-04-06","weather":"sunny intervals, light rain in the morning","weather_icon_url":"https://www.meteoschweiz.admin.ch/static/resources/weather-symbols/14.svg","temperature_min_c":0.2,"temperature_max_c":18.5,"precipitation_total_mm":0.3,"sunshine_total_minutes":383,"wind_avg_kmh":8.9,"hourly":[{"time":"2026-04-06T00:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T01:00:00+02:00","temperature_c":1.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T02:00:00+02:00","temperature_c":1,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T03:00:00+02:00","temperature_c":0.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T04:00:00+02:00","temperature_c":0.2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T05:00:00+02:00","temperature_c":0.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8},{"time":"2026-04-06T06:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":10},{"time":"2026-04-06T07:00:00+02:00","temperature_c":4,"precip_mm":0.1,"sunshine_minutes":5,"wind_kmh":12},{"time":"2026-04-06T08:00:00+02:00","temperature_c":6.5,"precip_mm":0.2,"sunshine_minutes":0,"wind_kmh":15},{"time":"2026-04-06T09:00:00+02:00","temperature_c":9,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":12},{"time":"2026-04-06T10:00:00+02:00","temperature_c":11.5,"precip_mm":0,"sunshine_minutes":45,"wind_kmh":10},{"time":"2026-04-06T11:00:00+02:00","temperature_c":13.5,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10},{"time":"2026-04-06T12:00:00+02:00","temperature_c":15,"precip_mm":0,"sunshine_minutes":60,"wind_kmh":8},{"time":"2026-04-06T13:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":58,"wind_kmh":8},{"time":"2026-04-06T14:00:00+02:00","temperature_c":17.8,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10},{"time":"2026-04-06T15:00:00+02:00","temperature_c":18.5,"precip_mm":0,"sunshine_minutes":40,"wind_kmh":12},{"time":"2026-04-06T16:00:00+02:00","temperature_c":18,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":14},{"time":"2026-04-06T17:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":13},{"time":"2026-04-06T18:00:00+02:00","temperature_c":14,"precip_mm":0,"sunshine_minutes":5,"wind_kmh":12},{"time":"2026-04-06T19:00:00+02:00","temperature_c":11,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":10},{"time":"2026-04-06T20:00:00+02:00","temperature_c":8.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8},{"time":"2026-04-06T21:00:00+02:00","temperature_c":6,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":6},{"time":"2026-04-06T22:00:00+02:00","temperature_c":4,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T23:00:00+02:00","temperature_c":2.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5}]}],"source":"MeteoSwiss Open Data"}
|
What is the peak wind gust speed in km/h on 2026-04-06? If gust data is not present in this data, say so explicitly instead of guessing a number. Respond with ONLY a single-line strict JSON object in the exact schema given — no markdown fences, no explanation, no extra keys. Schema: {"gust_available": true, "gust_kmh": <number>} or {"gust_available": false}
|
{"key":"gust_available","kind":"unavailable"}
|
n/a
|
b-flat-nogust
|
null-handling
|
ms-gust-unavailable
|
Output
{"gust_available": false}
Reason
All assertions passed |
Output
Thinking: **Analyzing Weather Data**
I am currently dissecting the provided weather forecast JSON. My immediate focus is pinpointing the highest wind gust recorded on April 6th, 2026, ensuring the measurement is in km/h. I'm strictly adhering to the data within the given structure.
{"gust_available": false}
Reason
All assertions passed |
Output
{"gust_available": false}
Reason
All assertions passed |
Output
{"gust_available": false}
Reason
All assertions passed |
Output
{"gust_available": false}
Reason
All assertions passed |
Output
{"gust_available": false}
Reason
All assertions passed |
|
{"location":{"name":"Zürich","type":"postal_code","elevation":409,"coordinates":{"lat":47.372289,"lon":8.542189}},"generated":"2026-04-06T04:00:00.000000Z","forecast":[{"date":"2026-04-06","weather":"sunny intervals, light rain in the morning","weather_icon_url":"https://www.meteoschweiz.admin.ch/static/resources/weather-symbols/14.svg","temperature_min_c":0.2,"temperature_max_c":18.5,"precipitation_total_mm":0.3,"sunshine_total_minutes":383,"wind_avg_kmh":8.9,"wind_gust_max_kmh":35,"hourly":[{"time":"2026-04-06T00:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T01:00:00+02:00","temperature_c":1.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T02:00:00+02:00","temperature_c":1,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T03:00:00+02:00","temperature_c":0.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T04:00:00+02:00","temperature_c":0.2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T05:00:00+02:00","temperature_c":0.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8,"wind_gust_kmh":12},{"time":"2026-04-06T06:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T07:00:00+02:00","temperature_c":4,"precip_mm":0.1,"sunshine_minutes":5,"wind_kmh":12,"wind_gust_kmh":18},{"time":"2026-04-06T08:00:00+02:00","temperature_c":6.5,"precip_mm":0.2,"sunshine_minutes":0,"wind_kmh":15,"wind_gust_kmh":22},{"time":"2026-04-06T09:00:00+02:00","temperature_c":9,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":12,"wind_gust_kmh":35},{"time":"2026-04-06T10:00:00+02:00","temperature_c":11.5,"precip_mm":0,"sunshine_minutes":45,"wind_kmh":10,"wind_gust_kmh":16},{"time":"2026-04-06T11:00:00+02:00","temperature_c":13.5,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T12:00:00+02:00","temperature_c":15,"precip_mm":0,"sunshine_minutes":60,"wind_kmh":8,"wind_gust_kmh":13},{"time":"2026-04-06T13:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":58,"wind_kmh":8,"wind_gust_kmh":13},{"time":"2026-04-06T14:00:00+02:00","temperature_c":17.8,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10,"wind_gust_kmh":16},{"time":"2026-04-06T15:00:00+02:00","temperature_c":18.5,"precip_mm":0,"sunshine_minutes":40,"wind_kmh":12,"wind_gust_kmh":19},{"time":"2026-04-06T16:00:00+02:00","temperature_c":18,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":14,"wind_gust_kmh":21},{"time":"2026-04-06T17:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":13,"wind_gust_kmh":20},{"time":"2026-04-06T18:00:00+02:00","temperature_c":14,"precip_mm":0,"sunshine_minutes":5,"wind_kmh":12,"wind_gust_kmh":18},{"time":"2026-04-06T19:00:00+02:00","temperature_c":11,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T20:00:00+02:00","temperature_c":8.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8,"wind_gust_kmh":12},{"time":"2026-04-06T21:00:00+02:00","temperature_c":6,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":6,"wind_gust_kmh":9},{"time":"2026-04-06T22:00:00+02:00","temperature_c":4,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T23:00:00+02:00","temperature_c":2.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8}]}],"source":"MeteoSwiss Open Data"}
|
At 08:00 local time on 2026-04-06: is it raining, and what is the wind speed in km/h? Respond with ONLY a single-line strict JSON object in the exact schema given — no markdown fences, no explanation, no extra keys. Schema: {"raining": true | false, "wind_kmh": <number>}
|
{"kind":"compound","parts":[{"key":"raining","kind":"bool","value":true},{"key":"wind_kmh","kind":"number","value":15,"tolerance":0.5}]}
|
n/a
|
b-flat-gust
|
ms-point-cross
|
ms-point-cross
|
Output
{"raining": true, "wind_kmh": 15}
Reason
All assertions passed |
Output
Thinking: **Determining Forecast Data**
I'm currently sifting through the weather forecast data, specifically focusing on pinpointing the information for 08:00 on April 6th, 2026. My goal is to extract both the precipitation status and wind speed for that precise moment.
{"raining": true, "wind_kmh": 15}
Reason
All assertions passed |
Output
{"raining": true, "wind_kmh": 15}
Reason
All assertions passed |
Output
{"raining": true, "wind_kmh": 15}
Reason
All assertions passed |
Output
{"raining": true, "wind_kmh": 15}
Reason
All assertions passed |
Output
{"raining": true, "wind_kmh": 15}
Reason
All assertions passed |
|
{"location":{"name":"Zürich","type":"postal_code","elevation":409,"coordinates":{"lat":47.372289,"lon":8.542189}},"generated":"2026-04-06T04:00:00.000000Z","forecast":[{"date":"2026-04-06","weather":"sunny intervals, light rain in the morning","weather_icon_url":"https://www.meteoschweiz.admin.ch/static/resources/weather-symbols/14.svg","temperature_min_c":0.2,"temperature_max_c":18.5,"precipitation_total_mm":0.3,"sunshine_total_minutes":383,"wind_avg_kmh":8.9,"wind_gust_max_kmh":35,"hourly":[{"time":"2026-04-06T00:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T01:00:00+02:00","temperature_c":1.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T02:00:00+02:00","temperature_c":1,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T03:00:00+02:00","temperature_c":0.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T04:00:00+02:00","temperature_c":0.2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T05:00:00+02:00","temperature_c":0.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8,"wind_gust_kmh":12},{"time":"2026-04-06T06:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T07:00:00+02:00","temperature_c":4,"precip_mm":0.1,"sunshine_minutes":5,"wind_kmh":12,"wind_gust_kmh":18},{"time":"2026-04-06T08:00:00+02:00","temperature_c":6.5,"precip_mm":0.2,"sunshine_minutes":0,"wind_kmh":15,"wind_gust_kmh":22},{"time":"2026-04-06T09:00:00+02:00","temperature_c":9,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":12,"wind_gust_kmh":35},{"time":"2026-04-06T10:00:00+02:00","temperature_c":11.5,"precip_mm":0,"sunshine_minutes":45,"wind_kmh":10,"wind_gust_kmh":16},{"time":"2026-04-06T11:00:00+02:00","temperature_c":13.5,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T12:00:00+02:00","temperature_c":15,"precip_mm":0,"sunshine_minutes":60,"wind_kmh":8,"wind_gust_kmh":13},{"time":"2026-04-06T13:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":58,"wind_kmh":8,"wind_gust_kmh":13},{"time":"2026-04-06T14:00:00+02:00","temperature_c":17.8,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10,"wind_gust_kmh":16},{"time":"2026-04-06T15:00:00+02:00","temperature_c":18.5,"precip_mm":0,"sunshine_minutes":40,"wind_kmh":12,"wind_gust_kmh":19},{"time":"2026-04-06T16:00:00+02:00","temperature_c":18,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":14,"wind_gust_kmh":21},{"time":"2026-04-06T17:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":13,"wind_gust_kmh":20},{"time":"2026-04-06T18:00:00+02:00","temperature_c":14,"precip_mm":0,"sunshine_minutes":5,"wind_kmh":12,"wind_gust_kmh":18},{"time":"2026-04-06T19:00:00+02:00","temperature_c":11,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T20:00:00+02:00","temperature_c":8.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8,"wind_gust_kmh":12},{"time":"2026-04-06T21:00:00+02:00","temperature_c":6,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":6,"wind_gust_kmh":9},{"time":"2026-04-06T22:00:00+02:00","temperature_c":4,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T23:00:00+02:00","temperature_c":2.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8}]}],"source":"MeteoSwiss Open Data"}
|
Which single local hour on 2026-04-06 has the most sunshine? Respond with ONLY a single-line strict JSON object in the exact schema given — no markdown fences, no explanation, no extra keys. Schema: {"hour": "HH:00"}
|
{"key":"hour","kind":"hour","value":12}
|
n/a
|
b-flat-gust
|
ms-argmax
|
ms-argmax-sunshine
|
Output
{"hour": "12:00"}
Reason
All assertions passed |
Output
Thinking: **Identifying Sunshine Hours**
I'm currently analyzing the weather data for April 6th, 2026. My focus is on pinpointing the precise hour that will experience the most sunshine. I'm parsing the forecast object to extract and compare the relevant metrics.
{"hour": "12:00"}
Reason
All assertions passed |
Output
{"hour": "12:00"}
Reason
All assertions passed |
Output
{"hour": "12:00"}
Reason
All assertions passed |
Output
{"hour":"12:00"}
Reason
All assertions passed |
Output
{"hour": "12:00"}
Reason
All assertions passed |
|
{"location":{"name":"Zürich","type":"postal_code","elevation":409,"coordinates":{"lat":47.372289,"lon":8.542189}},"generated":"2026-04-06T04:00:00.000000Z","forecast":[{"date":"2026-04-06","weather":"sunny intervals, light rain in the morning","weather_icon_url":"https://www.meteoschweiz.admin.ch/static/resources/weather-symbols/14.svg","temperature_min_c":0.2,"temperature_max_c":18.5,"precipitation_total_mm":0.3,"sunshine_total_minutes":383,"wind_avg_kmh":8.9,"wind_gust_max_kmh":35,"hourly":[{"time":"2026-04-06T00:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T01:00:00+02:00","temperature_c":1.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T02:00:00+02:00","temperature_c":1,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T03:00:00+02:00","temperature_c":0.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T04:00:00+02:00","temperature_c":0.2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T05:00:00+02:00","temperature_c":0.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8,"wind_gust_kmh":12},{"time":"2026-04-06T06:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T07:00:00+02:00","temperature_c":4,"precip_mm":0.1,"sunshine_minutes":5,"wind_kmh":12,"wind_gust_kmh":18},{"time":"2026-04-06T08:00:00+02:00","temperature_c":6.5,"precip_mm":0.2,"sunshine_minutes":0,"wind_kmh":15,"wind_gust_kmh":22},{"time":"2026-04-06T09:00:00+02:00","temperature_c":9,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":12,"wind_gust_kmh":35},{"time":"2026-04-06T10:00:00+02:00","temperature_c":11.5,"precip_mm":0,"sunshine_minutes":45,"wind_kmh":10,"wind_gust_kmh":16},{"time":"2026-04-06T11:00:00+02:00","temperature_c":13.5,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T12:00:00+02:00","temperature_c":15,"precip_mm":0,"sunshine_minutes":60,"wind_kmh":8,"wind_gust_kmh":13},{"time":"2026-04-06T13:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":58,"wind_kmh":8,"wind_gust_kmh":13},{"time":"2026-04-06T14:00:00+02:00","temperature_c":17.8,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10,"wind_gust_kmh":16},{"time":"2026-04-06T15:00:00+02:00","temperature_c":18.5,"precip_mm":0,"sunshine_minutes":40,"wind_kmh":12,"wind_gust_kmh":19},{"time":"2026-04-06T16:00:00+02:00","temperature_c":18,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":14,"wind_gust_kmh":21},{"time":"2026-04-06T17:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":13,"wind_gust_kmh":20},{"time":"2026-04-06T18:00:00+02:00","temperature_c":14,"precip_mm":0,"sunshine_minutes":5,"wind_kmh":12,"wind_gust_kmh":18},{"time":"2026-04-06T19:00:00+02:00","temperature_c":11,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T20:00:00+02:00","temperature_c":8.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8,"wind_gust_kmh":12},{"time":"2026-04-06T21:00:00+02:00","temperature_c":6,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":6,"wind_gust_kmh":9},{"time":"2026-04-06T22:00:00+02:00","temperature_c":4,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T23:00:00+02:00","temperature_c":2.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8}]}],"source":"MeteoSwiss Open Data"}
|
Which single local hour on 2026-04-06 has the highest wind speed? Respond with ONLY a single-line strict JSON object in the exact schema given — no markdown fences, no explanation, no extra keys. Schema: {"hour": "HH:00"}
|
{"key":"hour","kind":"hour","value":8}
|
n/a
|
b-flat-gust
|
ms-argmax
|
ms-argmax-wind
|
Output
{"hour": "08:00"}
Reason
All assertions passed |
Output
Thinking: **Finding Peak Wind**
I'm currently processing the weather forecast data for April 6th, 2026. My focus is pinpointing the exact local hour that will experience the strongest wind gusts, aiming to extract this precise time for the final output.
**Refining Wind Speed**
I'm refining my analysis of the wind speed data for April 6th, 2026. I've identified the maximum sustained wind speed and its corresponding hour, ensuring precision in the output.
{"hour": "08:00"}
Reason
All assertions passed |
Output
{"hour": "09:00"}
Reason
[wrong] expected hour 8, got "09:00" |
Output
{"hour": "09:00"}
Reason
[wrong] expected hour 8, got "09:00" |
Output
{"hour":"09:00"}
Reason
[wrong] expected hour 8, got "09:00" |
Output
{"hour": "09:00"}
Reason
[wrong] expected hour 8, got "09:00" |
|
{"location":{"name":"Zürich","type":"postal_code","elevation":409,"coordinates":{"lat":47.372289,"lon":8.542189}},"generated":"2026-04-06T04:00:00.000000Z","forecast":[{"date":"2026-04-06","weather":"sunny intervals, light rain in the morning","weather_icon_url":"https://www.meteoschweiz.admin.ch/static/resources/weather-symbols/14.svg","temperature_min_c":0.2,"temperature_max_c":18.5,"precipitation_total_mm":0.3,"sunshine_total_minutes":383,"wind_avg_kmh":8.9,"wind_gust_max_kmh":35,"hourly":[{"time":"2026-04-06T00:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T01:00:00+02:00","temperature_c":1.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T02:00:00+02:00","temperature_c":1,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T03:00:00+02:00","temperature_c":0.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T04:00:00+02:00","temperature_c":0.2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T05:00:00+02:00","temperature_c":0.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8,"wind_gust_kmh":12},{"time":"2026-04-06T06:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T07:00:00+02:00","temperature_c":4,"precip_mm":0.1,"sunshine_minutes":5,"wind_kmh":12,"wind_gust_kmh":18},{"time":"2026-04-06T08:00:00+02:00","temperature_c":6.5,"precip_mm":0.2,"sunshine_minutes":0,"wind_kmh":15,"wind_gust_kmh":22},{"time":"2026-04-06T09:00:00+02:00","temperature_c":9,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":12,"wind_gust_kmh":35},{"time":"2026-04-06T10:00:00+02:00","temperature_c":11.5,"precip_mm":0,"sunshine_minutes":45,"wind_kmh":10,"wind_gust_kmh":16},{"time":"2026-04-06T11:00:00+02:00","temperature_c":13.5,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T12:00:00+02:00","temperature_c":15,"precip_mm":0,"sunshine_minutes":60,"wind_kmh":8,"wind_gust_kmh":13},{"time":"2026-04-06T13:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":58,"wind_kmh":8,"wind_gust_kmh":13},{"time":"2026-04-06T14:00:00+02:00","temperature_c":17.8,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10,"wind_gust_kmh":16},{"time":"2026-04-06T15:00:00+02:00","temperature_c":18.5,"precip_mm":0,"sunshine_minutes":40,"wind_kmh":12,"wind_gust_kmh":19},{"time":"2026-04-06T16:00:00+02:00","temperature_c":18,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":14,"wind_gust_kmh":21},{"time":"2026-04-06T17:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":13,"wind_gust_kmh":20},{"time":"2026-04-06T18:00:00+02:00","temperature_c":14,"precip_mm":0,"sunshine_minutes":5,"wind_kmh":12,"wind_gust_kmh":18},{"time":"2026-04-06T19:00:00+02:00","temperature_c":11,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T20:00:00+02:00","temperature_c":8.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8,"wind_gust_kmh":12},{"time":"2026-04-06T21:00:00+02:00","temperature_c":6,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":6,"wind_gust_kmh":9},{"time":"2026-04-06T22:00:00+02:00","temperature_c":4,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T23:00:00+02:00","temperature_c":2.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8}]}],"source":"MeteoSwiss Open Data"}
|
At 13:00 local time on 2026-04-06: is it dry, is there any sunshine, and is it calm (wind under 10 km/h)? Respond with ONLY a single-line strict JSON object in the exact schema given — no markdown fences, no explanation, no extra keys. Schema: {"dry": true | false, "sunny": true | false, "calm": true | false}
|
{"kind":"compound","parts":[{"key":"dry","kind":"bool","value":true},{"key":"sunny","kind":"bool","value":true},{"key":"calm","kind":"bool","value":true}]}
|
n/a
|
b-flat-gust
|
ms-point-cross
|
ms-compound-1300
|
Output
{"dry": true, "sunny": true, "calm": true}
Reason
All assertions passed |
Output
Thinking: **Analyzing Weather Data**
I am currently processing the provided JSON weather forecast. My focus is on extracting information relevant to 13:00 local time on 2026-04-06 to answer specific queries.
{"dry": true, "sunny": true, "calm": true}
Reason
All assertions passed |
Output
{"dry": true, "sunny": true, "calm": false}
Reason
[partial] expected true, got true; expected true, got true; expected true, got false |
Output
{"dry": true, "sunny": true, "calm": true}
Reason
All assertions passed |
Output
{"dry": true, "sunny": true, "calm": true}
Reason
All assertions passed |
Output
{"dry": true, "sunny": true, "calm": false}
Reason
[partial] expected true, got true; expected true, got true; expected true, got false |
|
{"location":{"name":"Zürich","type":"postal_code","elevation":409,"coordinates":{"lat":47.372289,"lon":8.542189}},"generated":"2026-04-06T04:00:00.000000Z","forecast":[{"date":"2026-04-06","weather":"sunny intervals, light rain in the morning","weather_icon_url":"https://www.meteoschweiz.admin.ch/static/resources/weather-symbols/14.svg","temperature_min_c":0.2,"temperature_max_c":18.5,"precipitation_total_mm":0.3,"sunshine_total_minutes":383,"wind_avg_kmh":8.9,"wind_gust_max_kmh":35,"hourly":[{"time":"2026-04-06T00:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T01:00:00+02:00","temperature_c":1.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T02:00:00+02:00","temperature_c":1,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T03:00:00+02:00","temperature_c":0.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T04:00:00+02:00","temperature_c":0.2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T05:00:00+02:00","temperature_c":0.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8,"wind_gust_kmh":12},{"time":"2026-04-06T06:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T07:00:00+02:00","temperature_c":4,"precip_mm":0.1,"sunshine_minutes":5,"wind_kmh":12,"wind_gust_kmh":18},{"time":"2026-04-06T08:00:00+02:00","temperature_c":6.5,"precip_mm":0.2,"sunshine_minutes":0,"wind_kmh":15,"wind_gust_kmh":22},{"time":"2026-04-06T09:00:00+02:00","temperature_c":9,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":12,"wind_gust_kmh":35},{"time":"2026-04-06T10:00:00+02:00","temperature_c":11.5,"precip_mm":0,"sunshine_minutes":45,"wind_kmh":10,"wind_gust_kmh":16},{"time":"2026-04-06T11:00:00+02:00","temperature_c":13.5,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T12:00:00+02:00","temperature_c":15,"precip_mm":0,"sunshine_minutes":60,"wind_kmh":8,"wind_gust_kmh":13},{"time":"2026-04-06T13:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":58,"wind_kmh":8,"wind_gust_kmh":13},{"time":"2026-04-06T14:00:00+02:00","temperature_c":17.8,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10,"wind_gust_kmh":16},{"time":"2026-04-06T15:00:00+02:00","temperature_c":18.5,"precip_mm":0,"sunshine_minutes":40,"wind_kmh":12,"wind_gust_kmh":19},{"time":"2026-04-06T16:00:00+02:00","temperature_c":18,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":14,"wind_gust_kmh":21},{"time":"2026-04-06T17:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":13,"wind_gust_kmh":20},{"time":"2026-04-06T18:00:00+02:00","temperature_c":14,"precip_mm":0,"sunshine_minutes":5,"wind_kmh":12,"wind_gust_kmh":18},{"time":"2026-04-06T19:00:00+02:00","temperature_c":11,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T20:00:00+02:00","temperature_c":8.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8,"wind_gust_kmh":12},{"time":"2026-04-06T21:00:00+02:00","temperature_c":6,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":6,"wind_gust_kmh":9},{"time":"2026-04-06T22:00:00+02:00","temperature_c":4,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T23:00:00+02:00","temperature_c":2.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8}]}],"source":"MeteoSwiss Open Data"}
|
What is the total sunshine in minutes for 2026-04-06, and does it match summing the hourly sunshine series (allow rounding)? Respond with ONLY a single-line strict JSON object in the exact schema given — no markdown fences, no explanation, no extra keys. Schema: {"total_minutes": <number>, "matches_hourly_sum": true | false}
|
{"kind":"compound","parts":[{"key":"total_minutes","kind":"number","value":383,"tolerance":1},{"key":"matches_hourly_sum","kind":"bool","value":true}]}
|
n/a
|
b-flat-gust
|
ms-cross-field
|
ms-sunshine-total
|
Output
Sum of hourly: 10+5+20+45+55+60+58+55+40+20+10+5 = 383
{"total_minutes": 383, "matches_hourly_sum": true}
Reason
All assertions passed |
Output
Thinking: **Validating Sunshine Calculations**
I'm currently verifying the sunshine data. My current focus is on summing the hourly sunshine durations for April 6, 2026, and comparing this against the overall daily total to ensure accuracy.
**Confirming Sunshine Totals**
I've just finished summing the hourly sunshine durations for April 6, 2026. The sum of the individual hourly values precisely matches the provided daily total, confirming the data's integrity.
{"total_minutes": 383, "matches_hourly_sum": true}
Reason
All assertions passed |
Output
{"total_minutes": 383, "matches_hourly_sum": true}
Reason
All assertions passed |
Output
{"total_minutes": 383, "matches_hourly_sum": true}
Reason
All assertions passed |
Output
{"total_minutes": 383, "matches_hourly_sum": true}
Reason
All assertions passed |
Output
{"total_minutes": 383, "matches_hourly_sum": true}
Reason
All assertions passed |
|
{"location":{"name":"Zürich","type":"postal_code","elevation":409,"coordinates":{"lat":47.372289,"lon":8.542189}},"generated":"2026-04-06T04:00:00.000000Z","forecast":[{"date":"2026-04-06","weather":"sunny intervals, light rain in the morning","weather_icon_url":"https://www.meteoschweiz.admin.ch/static/resources/weather-symbols/14.svg","temperature_min_c":0.2,"temperature_max_c":18.5,"precipitation_total_mm":0.3,"sunshine_total_minutes":383,"wind_avg_kmh":8.9,"wind_gust_max_kmh":35,"hourly":[{"time":"2026-04-06T00:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T01:00:00+02:00","temperature_c":1.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T02:00:00+02:00","temperature_c":1,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T03:00:00+02:00","temperature_c":0.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T04:00:00+02:00","temperature_c":0.2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T05:00:00+02:00","temperature_c":0.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8,"wind_gust_kmh":12},{"time":"2026-04-06T06:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T07:00:00+02:00","temperature_c":4,"precip_mm":0.1,"sunshine_minutes":5,"wind_kmh":12,"wind_gust_kmh":18},{"time":"2026-04-06T08:00:00+02:00","temperature_c":6.5,"precip_mm":0.2,"sunshine_minutes":0,"wind_kmh":15,"wind_gust_kmh":22},{"time":"2026-04-06T09:00:00+02:00","temperature_c":9,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":12,"wind_gust_kmh":35},{"time":"2026-04-06T10:00:00+02:00","temperature_c":11.5,"precip_mm":0,"sunshine_minutes":45,"wind_kmh":10,"wind_gust_kmh":16},{"time":"2026-04-06T11:00:00+02:00","temperature_c":13.5,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T12:00:00+02:00","temperature_c":15,"precip_mm":0,"sunshine_minutes":60,"wind_kmh":8,"wind_gust_kmh":13},{"time":"2026-04-06T13:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":58,"wind_kmh":8,"wind_gust_kmh":13},{"time":"2026-04-06T14:00:00+02:00","temperature_c":17.8,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10,"wind_gust_kmh":16},{"time":"2026-04-06T15:00:00+02:00","temperature_c":18.5,"precip_mm":0,"sunshine_minutes":40,"wind_kmh":12,"wind_gust_kmh":19},{"time":"2026-04-06T16:00:00+02:00","temperature_c":18,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":14,"wind_gust_kmh":21},{"time":"2026-04-06T17:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":13,"wind_gust_kmh":20},{"time":"2026-04-06T18:00:00+02:00","temperature_c":14,"precip_mm":0,"sunshine_minutes":5,"wind_kmh":12,"wind_gust_kmh":18},{"time":"2026-04-06T19:00:00+02:00","temperature_c":11,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T20:00:00+02:00","temperature_c":8.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8,"wind_gust_kmh":12},{"time":"2026-04-06T21:00:00+02:00","temperature_c":6,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":6,"wind_gust_kmh":9},{"time":"2026-04-06T22:00:00+02:00","temperature_c":4,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T23:00:00+02:00","temperature_c":2.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8}]}],"source":"MeteoSwiss Open Data"}
|
Which single local hour on 2026-04-06 has the most rainfall? Respond with ONLY a single-line strict JSON object in the exact schema given — no markdown fences, no explanation, no extra keys. Schema: {"hour": "HH:00"}
|
{"key":"hour","kind":"hour","value":8}
|
n/a
|
b-flat-gust
|
ms-argmax
|
ms-argmax-precip
|
Output
{"hour": "08:00"}
Reason
All assertions passed |
Output
Thinking: **Finding Peak Rainfall**
I'm currently analyzing the forecast data, specifically focusing on the 2026-04-06 period. My primary objective is to pinpoint the exact hour within that day that will experience the highest volume of precipitation, and I'm preparing to format this finding as a JSON object with the hour identified.
{"hour": "08:00"}
Reason
All assertions passed |
Output
{"hour": "08:00"}
Reason
All assertions passed |
Output
{"hour": "08:00"}
Reason
All assertions passed |
Output
{"hour":"07:00"}
Reason
[wrong] expected hour 8, got "07:00" |
Output
{"hour": "08:00"}
Reason
All assertions passed |
|
{"location":{"name":"Zürich","type":"postal_code","elevation":409,"coordinates":{"lat":47.372289,"lon":8.542189}},"generated":"2026-04-06T04:00:00.000000Z","forecast":[{"date":"2026-04-06","weather":"sunny intervals, light rain in the morning","weather_icon_url":"https://www.meteoschweiz.admin.ch/static/resources/weather-symbols/14.svg","temperature_min_c":0.2,"temperature_max_c":18.5,"precipitation_total_mm":0.3,"sunshine_total_minutes":383,"wind_avg_kmh":8.9,"wind_gust_max_kmh":35,"hourly":[{"time":"2026-04-06T00:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T01:00:00+02:00","temperature_c":1.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T02:00:00+02:00","temperature_c":1,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T03:00:00+02:00","temperature_c":0.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T04:00:00+02:00","temperature_c":0.2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T05:00:00+02:00","temperature_c":0.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8,"wind_gust_kmh":12},{"time":"2026-04-06T06:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T07:00:00+02:00","temperature_c":4,"precip_mm":0.1,"sunshine_minutes":5,"wind_kmh":12,"wind_gust_kmh":18},{"time":"2026-04-06T08:00:00+02:00","temperature_c":6.5,"precip_mm":0.2,"sunshine_minutes":0,"wind_kmh":15,"wind_gust_kmh":22},{"time":"2026-04-06T09:00:00+02:00","temperature_c":9,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":12,"wind_gust_kmh":35},{"time":"2026-04-06T10:00:00+02:00","temperature_c":11.5,"precip_mm":0,"sunshine_minutes":45,"wind_kmh":10,"wind_gust_kmh":16},{"time":"2026-04-06T11:00:00+02:00","temperature_c":13.5,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T12:00:00+02:00","temperature_c":15,"precip_mm":0,"sunshine_minutes":60,"wind_kmh":8,"wind_gust_kmh":13},{"time":"2026-04-06T13:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":58,"wind_kmh":8,"wind_gust_kmh":13},{"time":"2026-04-06T14:00:00+02:00","temperature_c":17.8,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10,"wind_gust_kmh":16},{"time":"2026-04-06T15:00:00+02:00","temperature_c":18.5,"precip_mm":0,"sunshine_minutes":40,"wind_kmh":12,"wind_gust_kmh":19},{"time":"2026-04-06T16:00:00+02:00","temperature_c":18,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":14,"wind_gust_kmh":21},{"time":"2026-04-06T17:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":13,"wind_gust_kmh":20},{"time":"2026-04-06T18:00:00+02:00","temperature_c":14,"precip_mm":0,"sunshine_minutes":5,"wind_kmh":12,"wind_gust_kmh":18},{"time":"2026-04-06T19:00:00+02:00","temperature_c":11,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T20:00:00+02:00","temperature_c":8.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8,"wind_gust_kmh":12},{"time":"2026-04-06T21:00:00+02:00","temperature_c":6,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":6,"wind_gust_kmh":9},{"time":"2026-04-06T22:00:00+02:00","temperature_c":4,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T23:00:00+02:00","temperature_c":2.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8}]}],"source":"MeteoSwiss Open Data"}
|
Which single local hour on 2026-04-06 is BEST for a walk: it must be dry (0mm rain), have some sunshine (more than 0 minutes), and be calm (wind under 10 km/h)? If more than one hour qualifies, pick the one with the most sunshine. Respond with ONLY a single-line strict JSON object in the exact schema given — no markdown fences, no explanation, no extra keys. Schema: {"hour": "HH:00"}
|
{"key":"hour","kind":"hour","value":12}
|
n/a
|
b-flat-gust
|
ms-compound-argmax
|
ms-best-walk-hour
|
Output
Checking hours that are dry, sunshine>0, wind<10:
- 06:00: precip 0, sun 10, wind 10 → wind not under 10, excluded
- 10:00: sun 45, wind 10 → excluded
- 11:00: sun 55, wind 10 → excluded
- 12:00: precip 0, sun 60, wind 8 ✓
- 13:00: sun 58, wind 8 ✓
- 18:00: sun 5, wind 12 → excluded
Best sunshine: 12:00 (60 min)
{"hour": "12:00"}
Reason
All assertions passed |
Output
Thinking: **Analyzing Weather Data**
I'm currently sifting through the provided weather forecast for Zurich on April 6th, 2026, specifically zeroing in on the optimal hour for a walk. My focus is on identifying periods with no precipitation and pleasant temperatures, aiming for a comfortable experience.
{"hour": "12:00"}
Reason
All assertions passed |
Output
{"hour": "06:00"}
Reason
[wrong] expected hour 12, got "06:00" |
Output
{"hour": "12:00"}
Reason
All assertions passed |
Output
{"hour":"12:00"}
Reason
All assertions passed |
Output
{"hour": "12:00"}
Reason
All assertions passed |
|
{"location":{"name":"Zürich","type":"postal_code","elevation":409,"coordinates":{"lat":47.372289,"lon":8.542189}},"generated":"2026-04-06T04:00:00.000000Z","forecast":[{"date":"2026-04-06","weather":"sunny intervals, light rain in the morning","weather_icon_url":"https://www.meteoschweiz.admin.ch/static/resources/weather-symbols/14.svg","temperature_min_c":0.2,"temperature_max_c":18.5,"precipitation_total_mm":0.3,"sunshine_total_minutes":383,"wind_avg_kmh":8.9,"wind_gust_max_kmh":35,"hourly":[{"time":"2026-04-06T00:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T01:00:00+02:00","temperature_c":1.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T02:00:00+02:00","temperature_c":1,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T03:00:00+02:00","temperature_c":0.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T04:00:00+02:00","temperature_c":0.2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T05:00:00+02:00","temperature_c":0.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8,"wind_gust_kmh":12},{"time":"2026-04-06T06:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T07:00:00+02:00","temperature_c":4,"precip_mm":0.1,"sunshine_minutes":5,"wind_kmh":12,"wind_gust_kmh":18},{"time":"2026-04-06T08:00:00+02:00","temperature_c":6.5,"precip_mm":0.2,"sunshine_minutes":0,"wind_kmh":15,"wind_gust_kmh":22},{"time":"2026-04-06T09:00:00+02:00","temperature_c":9,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":12,"wind_gust_kmh":35},{"time":"2026-04-06T10:00:00+02:00","temperature_c":11.5,"precip_mm":0,"sunshine_minutes":45,"wind_kmh":10,"wind_gust_kmh":16},{"time":"2026-04-06T11:00:00+02:00","temperature_c":13.5,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T12:00:00+02:00","temperature_c":15,"precip_mm":0,"sunshine_minutes":60,"wind_kmh":8,"wind_gust_kmh":13},{"time":"2026-04-06T13:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":58,"wind_kmh":8,"wind_gust_kmh":13},{"time":"2026-04-06T14:00:00+02:00","temperature_c":17.8,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10,"wind_gust_kmh":16},{"time":"2026-04-06T15:00:00+02:00","temperature_c":18.5,"precip_mm":0,"sunshine_minutes":40,"wind_kmh":12,"wind_gust_kmh":19},{"time":"2026-04-06T16:00:00+02:00","temperature_c":18,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":14,"wind_gust_kmh":21},{"time":"2026-04-06T17:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":13,"wind_gust_kmh":20},{"time":"2026-04-06T18:00:00+02:00","temperature_c":14,"precip_mm":0,"sunshine_minutes":5,"wind_kmh":12,"wind_gust_kmh":18},{"time":"2026-04-06T19:00:00+02:00","temperature_c":11,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T20:00:00+02:00","temperature_c":8.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8,"wind_gust_kmh":12},{"time":"2026-04-06T21:00:00+02:00","temperature_c":6,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":6,"wind_gust_kmh":9},{"time":"2026-04-06T22:00:00+02:00","temperature_c":4,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T23:00:00+02:00","temperature_c":2.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8}]}],"source":"MeteoSwiss Open Data"}
|
Is there a local hour on 2026-04-06 that is both completely dry (0mm rain) AND has wind of at least 14 km/h? If yes, give the earliest such hour; if no, say so. Respond with ONLY a single-line strict JSON object in the exact schema given — no markdown fences, no explanation, no extra keys. Schema: {"exists": true | false, "hour": "HH:00"}
|
{"kind":"compound","parts":[{"key":"exists","kind":"bool","value":true},{"key":"hour","kind":"hour","value":16}]}
|
n/a
|
b-flat-gust
|
ms-existence
|
ms-windy-dry-hour
|
Output
{"exists": true, "hour": "16:00"}
Reason
All assertions passed |
Output
Thinking: **Analyzing Weather Data**
I am currently processing the hourly weather data, specifically focusing on the precipitation and wind speed for April 6th, 2026. My goal is to identify a specific hour that meets the dry weather and wind speed criteria you provided.
{"exists": true, "hour": "16:00"}
Reason
All assertions passed |
Output
{"exists": true, "hour": "16:00"}
Reason
All assertions passed |
Output
{"exists": true, "hour": "16:00"}
Reason
All assertions passed |
Output
{"exists": true, "hour": "07:00"}
Reason
[partial] expected true, got true; expected hour 16, got "07:00" |
Output
{"exists": true, "hour": "16:00"}
Reason
All assertions passed |
|
{"location":{"name":"Zürich","type":"postal_code","elevation":409,"coordinates":{"lat":47.372289,"lon":8.542189}},"generated":"2026-04-06T04:00:00.000000Z","forecast":[{"date":"2026-04-06","weather":"sunny intervals, light rain in the morning","weather_icon_url":"https://www.meteoschweiz.admin.ch/static/resources/weather-symbols/14.svg","temperature_min_c":0.2,"temperature_max_c":18.5,"precipitation_total_mm":0.3,"sunshine_total_minutes":383,"wind_avg_kmh":8.9,"wind_gust_max_kmh":35,"hourly":[{"time":"2026-04-06T00:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T01:00:00+02:00","temperature_c":1.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T02:00:00+02:00","temperature_c":1,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T03:00:00+02:00","temperature_c":0.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T04:00:00+02:00","temperature_c":0.2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T05:00:00+02:00","temperature_c":0.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8,"wind_gust_kmh":12},{"time":"2026-04-06T06:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T07:00:00+02:00","temperature_c":4,"precip_mm":0.1,"sunshine_minutes":5,"wind_kmh":12,"wind_gust_kmh":18},{"time":"2026-04-06T08:00:00+02:00","temperature_c":6.5,"precip_mm":0.2,"sunshine_minutes":0,"wind_kmh":15,"wind_gust_kmh":22},{"time":"2026-04-06T09:00:00+02:00","temperature_c":9,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":12,"wind_gust_kmh":35},{"time":"2026-04-06T10:00:00+02:00","temperature_c":11.5,"precip_mm":0,"sunshine_minutes":45,"wind_kmh":10,"wind_gust_kmh":16},{"time":"2026-04-06T11:00:00+02:00","temperature_c":13.5,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T12:00:00+02:00","temperature_c":15,"precip_mm":0,"sunshine_minutes":60,"wind_kmh":8,"wind_gust_kmh":13},{"time":"2026-04-06T13:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":58,"wind_kmh":8,"wind_gust_kmh":13},{"time":"2026-04-06T14:00:00+02:00","temperature_c":17.8,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10,"wind_gust_kmh":16},{"time":"2026-04-06T15:00:00+02:00","temperature_c":18.5,"precip_mm":0,"sunshine_minutes":40,"wind_kmh":12,"wind_gust_kmh":19},{"time":"2026-04-06T16:00:00+02:00","temperature_c":18,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":14,"wind_gust_kmh":21},{"time":"2026-04-06T17:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":13,"wind_gust_kmh":20},{"time":"2026-04-06T18:00:00+02:00","temperature_c":14,"precip_mm":0,"sunshine_minutes":5,"wind_kmh":12,"wind_gust_kmh":18},{"time":"2026-04-06T19:00:00+02:00","temperature_c":11,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T20:00:00+02:00","temperature_c":8.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8,"wind_gust_kmh":12},{"time":"2026-04-06T21:00:00+02:00","temperature_c":6,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":6,"wind_gust_kmh":9},{"time":"2026-04-06T22:00:00+02:00","temperature_c":4,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T23:00:00+02:00","temperature_c":2.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8}]}],"source":"MeteoSwiss Open Data"}
|
At 19:00 local time on 2026-04-06: is it dry, is there any sunshine, and is it windy (wind at or above 10 km/h)? Respond with ONLY a single-line strict JSON object in the exact schema given — no markdown fences, no explanation, no extra keys. Schema: {"dry": true | false, "sunny": true | false, "windy": true | false}
|
{"kind":"compound","parts":[{"key":"dry","kind":"bool","value":true},{"key":"sunny","kind":"bool","value":false},{"key":"windy","kind":"bool","value":true}]}
|
n/a
|
b-flat-gust
|
ms-point-cross
|
ms-point-1900
|
Output
{"dry": true, "sunny": false, "windy": true}
Reason
All assertions passed |
Output
Thinking: **Analyzing Weather Data**
I am currently processing the provided weather forecast JSON. My focus is on extracting and evaluating specific conditions: dryness, sunshine presence, and wind speed exceeding 10 km/h at 19:00 local time on 2026-04-06.
{"dry": true, "sunny": false, "windy": true}
Reason
All assertions passed |
Output
{"dry": true, "sunny": false, "windy": true}
Reason
All assertions passed |
Output
{"dry": true, "sunny": false, "windy": true}
Reason
All assertions passed |
Output
{"dry": true, "sunny": false, "windy": true}
Reason
All assertions passed |
Output
{"dry": true, "sunny": false, "windy": true}
Reason
All assertions passed |
|
{"location":{"name":"Zürich","type":"postal_code","elevation":409,"coordinates":{"lat":47.372289,"lon":8.542189}},"generated":"2026-04-06T04:00:00.000000Z","forecast":[{"date":"2026-04-06","weather":"sunny intervals, light rain in the morning","weather_icon_url":"https://www.meteoschweiz.admin.ch/static/resources/weather-symbols/14.svg","temperature_min_c":0.2,"temperature_max_c":18.5,"precipitation_total_mm":0.3,"sunshine_total_minutes":383,"wind_avg_kmh":8.9,"wind_gust_max_kmh":35,"hourly":[{"time":"2026-04-06T00:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T01:00:00+02:00","temperature_c":1.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T02:00:00+02:00","temperature_c":1,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T03:00:00+02:00","temperature_c":0.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T04:00:00+02:00","temperature_c":0.2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T05:00:00+02:00","temperature_c":0.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8,"wind_gust_kmh":12},{"time":"2026-04-06T06:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T07:00:00+02:00","temperature_c":4,"precip_mm":0.1,"sunshine_minutes":5,"wind_kmh":12,"wind_gust_kmh":18},{"time":"2026-04-06T08:00:00+02:00","temperature_c":6.5,"precip_mm":0.2,"sunshine_minutes":0,"wind_kmh":15,"wind_gust_kmh":22},{"time":"2026-04-06T09:00:00+02:00","temperature_c":9,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":12,"wind_gust_kmh":35},{"time":"2026-04-06T10:00:00+02:00","temperature_c":11.5,"precip_mm":0,"sunshine_minutes":45,"wind_kmh":10,"wind_gust_kmh":16},{"time":"2026-04-06T11:00:00+02:00","temperature_c":13.5,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T12:00:00+02:00","temperature_c":15,"precip_mm":0,"sunshine_minutes":60,"wind_kmh":8,"wind_gust_kmh":13},{"time":"2026-04-06T13:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":58,"wind_kmh":8,"wind_gust_kmh":13},{"time":"2026-04-06T14:00:00+02:00","temperature_c":17.8,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10,"wind_gust_kmh":16},{"time":"2026-04-06T15:00:00+02:00","temperature_c":18.5,"precip_mm":0,"sunshine_minutes":40,"wind_kmh":12,"wind_gust_kmh":19},{"time":"2026-04-06T16:00:00+02:00","temperature_c":18,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":14,"wind_gust_kmh":21},{"time":"2026-04-06T17:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":13,"wind_gust_kmh":20},{"time":"2026-04-06T18:00:00+02:00","temperature_c":14,"precip_mm":0,"sunshine_minutes":5,"wind_kmh":12,"wind_gust_kmh":18},{"time":"2026-04-06T19:00:00+02:00","temperature_c":11,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T20:00:00+02:00","temperature_c":8.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8,"wind_gust_kmh":12},{"time":"2026-04-06T21:00:00+02:00","temperature_c":6,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":6,"wind_gust_kmh":9},{"time":"2026-04-06T22:00:00+02:00","temperature_c":4,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T23:00:00+02:00","temperature_c":2.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8}]}],"source":"MeteoSwiss Open Data"}
|
What is the average wind speed in km/h for 2026-04-06, and does it match averaging the hourly wind series (allow rounding)? Respond with ONLY a single-line strict JSON object in the exact schema given — no markdown fences, no explanation, no extra keys. Schema: {"avg_kmh": <number>, "matches_hourly_avg": true | false}
|
{"kind":"compound","parts":[{"key":"avg_kmh","kind":"number","value":8.9,"tolerance":0.5},{"key":"matches_hourly_avg","kind":"bool","value":true}]}
|
n/a
|
b-flat-gust
|
ms-cross-field
|
ms-wind-avg-check
|
Output
Let me sum the hourly wind values: 5+5+5+5+5+8+10+12+15+12+10+10+8+8+10+12+14+13+12+10+8+6+5+5
= 5+5=10, +5=15, +5=20, +5=25, +8=33, +10=43, +12=55, +15=70, +12=82, +10=92, +10=102, +8=110, +8=118, +10=128, +12=140, +14=154, +13=167, +12=179, +10=189, +8=197, +6=203, +5=208, +5=213
213/24 = 8.875 ≈ 8.9
{"avg_kmh": 8.9, "matches_hourly_avg": true}
Reason
All assertions passed |
Output
Thinking: **Calculating Wind Speed**
I am currently processing the JSON data to determine the average wind speed for the specified date. My focus is on extracting the relevant wind data, performing the necessary calculations in km/h, and then comparing this average to the mean of the hourly wind series, accounting for potential rounding differences.
{"avg_kmh": 8.9, "matches_hourly_avg": true}
Reason
All assertions passed |
Output
{"avg_kmh": 8.9, "matches_hourly_avg": true}
Reason
All assertions passed |
Output
{"avg_kmh": 8.9, "matches_hourly_avg": true}
Reason
All assertions passed |
Output
{"avg_kmh": 9.1, "matches_hourly_avg": true}
Reason
All assertions passed |
Output
{"avg_kmh": 10.0, "matches_hourly_avg": true}
Reason
[partial] expected 8.9±0.5, got 10; expected true, got true |
|
{"location":{"name":"Zürich","type":"postal_code","elevation":409,"coordinates":{"lat":47.372289,"lon":8.542189}},"generated":"2026-04-06T04:00:00.000000Z","forecast":[{"date":"2026-04-06","weather":"sunny intervals, light rain in the morning","weather_icon_url":"https://www.meteoschweiz.admin.ch/static/resources/weather-symbols/14.svg","temperature_min_c":0.2,"temperature_max_c":18.5,"precipitation_total_mm":0.3,"sunshine_total_minutes":383,"wind_avg_kmh":8.9,"wind_gust_max_kmh":35,"hourly":[{"time":"2026-04-06T00:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T01:00:00+02:00","temperature_c":1.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T02:00:00+02:00","temperature_c":1,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T03:00:00+02:00","temperature_c":0.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T04:00:00+02:00","temperature_c":0.2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T05:00:00+02:00","temperature_c":0.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8,"wind_gust_kmh":12},{"time":"2026-04-06T06:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T07:00:00+02:00","temperature_c":4,"precip_mm":0.1,"sunshine_minutes":5,"wind_kmh":12,"wind_gust_kmh":18},{"time":"2026-04-06T08:00:00+02:00","temperature_c":6.5,"precip_mm":0.2,"sunshine_minutes":0,"wind_kmh":15,"wind_gust_kmh":22},{"time":"2026-04-06T09:00:00+02:00","temperature_c":9,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":12,"wind_gust_kmh":35},{"time":"2026-04-06T10:00:00+02:00","temperature_c":11.5,"precip_mm":0,"sunshine_minutes":45,"wind_kmh":10,"wind_gust_kmh":16},{"time":"2026-04-06T11:00:00+02:00","temperature_c":13.5,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T12:00:00+02:00","temperature_c":15,"precip_mm":0,"sunshine_minutes":60,"wind_kmh":8,"wind_gust_kmh":13},{"time":"2026-04-06T13:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":58,"wind_kmh":8,"wind_gust_kmh":13},{"time":"2026-04-06T14:00:00+02:00","temperature_c":17.8,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10,"wind_gust_kmh":16},{"time":"2026-04-06T15:00:00+02:00","temperature_c":18.5,"precip_mm":0,"sunshine_minutes":40,"wind_kmh":12,"wind_gust_kmh":19},{"time":"2026-04-06T16:00:00+02:00","temperature_c":18,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":14,"wind_gust_kmh":21},{"time":"2026-04-06T17:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":13,"wind_gust_kmh":20},{"time":"2026-04-06T18:00:00+02:00","temperature_c":14,"precip_mm":0,"sunshine_minutes":5,"wind_kmh":12,"wind_gust_kmh":18},{"time":"2026-04-06T19:00:00+02:00","temperature_c":11,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T20:00:00+02:00","temperature_c":8.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8,"wind_gust_kmh":12},{"time":"2026-04-06T21:00:00+02:00","temperature_c":6,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":6,"wind_gust_kmh":9},{"time":"2026-04-06T22:00:00+02:00","temperature_c":4,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T23:00:00+02:00","temperature_c":2.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8}]}],"source":"MeteoSwiss Open Data"}
|
What is the total precipitation in mm for 2026-04-06, and does it match summing the hourly precipitation series (allow rounding)? Respond with ONLY a single-line strict JSON object in the exact schema given — no markdown fences, no explanation, no extra keys. Schema: {"total_mm": <number>, "matches_hourly_sum": true | false}
|
{"kind":"compound","parts":[{"key":"total_mm","kind":"number","value":0.3,"tolerance":0.05},{"key":"matches_hourly_sum","kind":"bool","value":true}]}
|
n/a
|
b-flat-gust
|
ms-cross-field
|
ms-precip-total-check
|
Output
{"total_mm": 0.3, "matches_hourly_sum": true}
Reason
All assertions passed |
Output
Thinking: **Validating Daily Totals**
I'm currently verifying the daily precipitation totals against the sum of hourly values for April 6th, 2026. My focus is on ensuring these aggregated figures align precisely as expected within the forecast data.
{"total_mm": 0.3, "matches_hourly_sum": true}
Reason
All assertions passed |
Output
{"total_mm": 0.3, "matches_hourly_sum": true}
Reason
All assertions passed |
Output
{"total_mm": 0.3, "matches_hourly_sum": true}
Reason
All assertions passed |
Output
{"total_mm": 0.3, "matches_hourly_sum": true}
Reason
All assertions passed |
Output
{"total_mm": 0.5, "matches_hourly_sum": false}
Reason
[wrong] expected 0.3±0.05, got 0.5; expected true, got false |
|
{"location":{"name":"Zürich","type":"postal_code","elevation":409,"coordinates":{"lat":47.372289,"lon":8.542189}},"generated":"2026-04-06T04:00:00.000000Z","forecast":[{"date":"2026-04-06","weather":"sunny intervals, light rain in the morning","weather_icon_url":"https://www.meteoschweiz.admin.ch/static/resources/weather-symbols/14.svg","temperature_min_c":0.2,"temperature_max_c":18.5,"precipitation_total_mm":0.3,"sunshine_total_minutes":383,"wind_avg_kmh":8.9,"wind_gust_max_kmh":35,"hourly":[{"time":"2026-04-06T00:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T01:00:00+02:00","temperature_c":1.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T02:00:00+02:00","temperature_c":1,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T03:00:00+02:00","temperature_c":0.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T04:00:00+02:00","temperature_c":0.2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T05:00:00+02:00","temperature_c":0.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8,"wind_gust_kmh":12},{"time":"2026-04-06T06:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T07:00:00+02:00","temperature_c":4,"precip_mm":0.1,"sunshine_minutes":5,"wind_kmh":12,"wind_gust_kmh":18},{"time":"2026-04-06T08:00:00+02:00","temperature_c":6.5,"precip_mm":0.2,"sunshine_minutes":0,"wind_kmh":15,"wind_gust_kmh":22},{"time":"2026-04-06T09:00:00+02:00","temperature_c":9,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":12,"wind_gust_kmh":35},{"time":"2026-04-06T10:00:00+02:00","temperature_c":11.5,"precip_mm":0,"sunshine_minutes":45,"wind_kmh":10,"wind_gust_kmh":16},{"time":"2026-04-06T11:00:00+02:00","temperature_c":13.5,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T12:00:00+02:00","temperature_c":15,"precip_mm":0,"sunshine_minutes":60,"wind_kmh":8,"wind_gust_kmh":13},{"time":"2026-04-06T13:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":58,"wind_kmh":8,"wind_gust_kmh":13},{"time":"2026-04-06T14:00:00+02:00","temperature_c":17.8,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10,"wind_gust_kmh":16},{"time":"2026-04-06T15:00:00+02:00","temperature_c":18.5,"precip_mm":0,"sunshine_minutes":40,"wind_kmh":12,"wind_gust_kmh":19},{"time":"2026-04-06T16:00:00+02:00","temperature_c":18,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":14,"wind_gust_kmh":21},{"time":"2026-04-06T17:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":13,"wind_gust_kmh":20},{"time":"2026-04-06T18:00:00+02:00","temperature_c":14,"precip_mm":0,"sunshine_minutes":5,"wind_kmh":12,"wind_gust_kmh":18},{"time":"2026-04-06T19:00:00+02:00","temperature_c":11,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T20:00:00+02:00","temperature_c":8.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8,"wind_gust_kmh":12},{"time":"2026-04-06T21:00:00+02:00","temperature_c":6,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":6,"wind_gust_kmh":9},{"time":"2026-04-06T22:00:00+02:00","temperature_c":4,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T23:00:00+02:00","temperature_c":2.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8}]}],"source":"MeteoSwiss Open Data"}
|
Which single local hour on 2026-04-06 has the highest temperature? Respond with ONLY a single-line strict JSON object in the exact schema given — no markdown fences, no explanation, no extra keys. Schema: {"hour": "HH:00"}
|
{"key":"hour","kind":"hour","value":15}
|
n/a
|
b-flat-gust
|
ms-argmax
|
ms-argmax-temp
|
Output
{"hour": "15:00"}
Reason
All assertions passed |
Output
Thinking: **Extracting Maximum Temperature**
I'm currently zeroing in on the precise local hour on April 6th, 2026, that will showcase the apex of the day's temperature. My focus is on meticulously parsing the forecast data to pinpoint that singular point in time for your analysis.
{"hour": "15:00"}
Reason
All assertions passed |
Output
{"hour": "15:00"}
Reason
All assertions passed |
Output
{"hour": "15:00"}
Reason
All assertions passed |
Output
{"hour":"15:00"}
Reason
All assertions passed |
Output
{"hour": "15:00"}
Reason
All assertions passed |
|
{"location":{"name":"Zürich","type":"postal_code","elevation":409,"coordinates":{"lat":47.372289,"lon":8.542189}},"generated":"2026-04-06T04:00:00.000000Z","forecast":[{"date":"2026-04-06","weather":"sunny intervals, light rain in the morning","weather_icon_url":"https://www.meteoschweiz.admin.ch/static/resources/weather-symbols/14.svg","temperature_min_c":0.2,"temperature_max_c":18.5,"precipitation_total_mm":0.3,"sunshine_total_minutes":383,"wind_avg_kmh":8.9,"wind_gust_max_kmh":35,"hourly":[{"time":"2026-04-06T00:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T01:00:00+02:00","temperature_c":1.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T02:00:00+02:00","temperature_c":1,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T03:00:00+02:00","temperature_c":0.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T04:00:00+02:00","temperature_c":0.2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T05:00:00+02:00","temperature_c":0.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8,"wind_gust_kmh":12},{"time":"2026-04-06T06:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T07:00:00+02:00","temperature_c":4,"precip_mm":0.1,"sunshine_minutes":5,"wind_kmh":12,"wind_gust_kmh":18},{"time":"2026-04-06T08:00:00+02:00","temperature_c":6.5,"precip_mm":0.2,"sunshine_minutes":0,"wind_kmh":15,"wind_gust_kmh":22},{"time":"2026-04-06T09:00:00+02:00","temperature_c":9,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":12,"wind_gust_kmh":35},{"time":"2026-04-06T10:00:00+02:00","temperature_c":11.5,"precip_mm":0,"sunshine_minutes":45,"wind_kmh":10,"wind_gust_kmh":16},{"time":"2026-04-06T11:00:00+02:00","temperature_c":13.5,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T12:00:00+02:00","temperature_c":15,"precip_mm":0,"sunshine_minutes":60,"wind_kmh":8,"wind_gust_kmh":13},{"time":"2026-04-06T13:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":58,"wind_kmh":8,"wind_gust_kmh":13},{"time":"2026-04-06T14:00:00+02:00","temperature_c":17.8,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10,"wind_gust_kmh":16},{"time":"2026-04-06T15:00:00+02:00","temperature_c":18.5,"precip_mm":0,"sunshine_minutes":40,"wind_kmh":12,"wind_gust_kmh":19},{"time":"2026-04-06T16:00:00+02:00","temperature_c":18,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":14,"wind_gust_kmh":21},{"time":"2026-04-06T17:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":13,"wind_gust_kmh":20},{"time":"2026-04-06T18:00:00+02:00","temperature_c":14,"precip_mm":0,"sunshine_minutes":5,"wind_kmh":12,"wind_gust_kmh":18},{"time":"2026-04-06T19:00:00+02:00","temperature_c":11,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T20:00:00+02:00","temperature_c":8.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8,"wind_gust_kmh":12},{"time":"2026-04-06T21:00:00+02:00","temperature_c":6,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":6,"wind_gust_kmh":9},{"time":"2026-04-06T22:00:00+02:00","temperature_c":4,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T23:00:00+02:00","temperature_c":2.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8}]}],"source":"MeteoSwiss Open Data"}
|
What is the maximum temperature in °C for 2026-04-06, and does it match the highest reading in the hourly temperature series (allow rounding)? Respond with ONLY a single-line strict JSON object in the exact schema given — no markdown fences, no explanation, no extra keys. Schema: {"max_c": <number>, "matches_hourly_max": true | false}
|
{"kind":"compound","parts":[{"key":"max_c","kind":"number","value":18.5,"tolerance":0.5},{"key":"matches_hourly_max","kind":"bool","value":true}]}
|
n/a
|
b-flat-gust
|
ms-cross-field
|
ms-temp-max-check
|
Output
{"max_c": 18.5, "matches_hourly_max": true}
Reason
All assertions passed |
Output
Thinking: **Analyzing Weather Data**
I'm currently processing the provided weather forecast JSON. My focus is on extracting the daily maximum temperature for April 6th, 2026, and then cross-referencing it against the peak hourly temperature readings to confirm alignment, accounting for potential rounding.
**Confirming Temperature Readings**
I've successfully extracted the daily maximum temperature and identified the peak hourly reading. My analysis confirms that these values align precisely, so the output should reflect a match.
{"max_c": 18.5, "matches_hourly_max": true}
Reason
All assertions passed |
Output
{"max_c": 18.5, "matches_hourly_max": true}
Reason
All assertions passed |
Output
{"max_c": 18.5, "matches_hourly_max": true}
Reason
All assertions passed |
Output
{"max_c": 18.5, "matches_hourly_max": true}
Reason
All assertions passed |
Output
{"max_c": 18.5, "matches_hourly_max": true}
Reason
All assertions passed |
|
{"location":{"name":"Zürich","type":"postal_code","elevation":409,"coordinates":{"lat":47.372289,"lon":8.542189}},"generated":"2026-04-06T04:00:00.000000Z","forecast":[{"date":"2026-04-06","weather":"sunny intervals, light rain in the morning","weather_icon_url":"https://www.meteoschweiz.admin.ch/static/resources/weather-symbols/14.svg","temperature_min_c":0.2,"temperature_max_c":18.5,"precipitation_total_mm":0.3,"sunshine_total_minutes":383,"wind_avg_kmh":8.9,"wind_gust_max_kmh":35,"hourly":[{"time":"2026-04-06T00:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T01:00:00+02:00","temperature_c":1.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T02:00:00+02:00","temperature_c":1,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T03:00:00+02:00","temperature_c":0.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T04:00:00+02:00","temperature_c":0.2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T05:00:00+02:00","temperature_c":0.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8,"wind_gust_kmh":12},{"time":"2026-04-06T06:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T07:00:00+02:00","temperature_c":4,"precip_mm":0.1,"sunshine_minutes":5,"wind_kmh":12,"wind_gust_kmh":18},{"time":"2026-04-06T08:00:00+02:00","temperature_c":6.5,"precip_mm":0.2,"sunshine_minutes":0,"wind_kmh":15,"wind_gust_kmh":22},{"time":"2026-04-06T09:00:00+02:00","temperature_c":9,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":12,"wind_gust_kmh":35},{"time":"2026-04-06T10:00:00+02:00","temperature_c":11.5,"precip_mm":0,"sunshine_minutes":45,"wind_kmh":10,"wind_gust_kmh":16},{"time":"2026-04-06T11:00:00+02:00","temperature_c":13.5,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T12:00:00+02:00","temperature_c":15,"precip_mm":0,"sunshine_minutes":60,"wind_kmh":8,"wind_gust_kmh":13},{"time":"2026-04-06T13:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":58,"wind_kmh":8,"wind_gust_kmh":13},{"time":"2026-04-06T14:00:00+02:00","temperature_c":17.8,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10,"wind_gust_kmh":16},{"time":"2026-04-06T15:00:00+02:00","temperature_c":18.5,"precip_mm":0,"sunshine_minutes":40,"wind_kmh":12,"wind_gust_kmh":19},{"time":"2026-04-06T16:00:00+02:00","temperature_c":18,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":14,"wind_gust_kmh":21},{"time":"2026-04-06T17:00:00+02:00","temperature_c":16.5,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":13,"wind_gust_kmh":20},{"time":"2026-04-06T18:00:00+02:00","temperature_c":14,"precip_mm":0,"sunshine_minutes":5,"wind_kmh":12,"wind_gust_kmh":18},{"time":"2026-04-06T19:00:00+02:00","temperature_c":11,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":10,"wind_gust_kmh":15},{"time":"2026-04-06T20:00:00+02:00","temperature_c":8.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8,"wind_gust_kmh":12},{"time":"2026-04-06T21:00:00+02:00","temperature_c":6,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":6,"wind_gust_kmh":9},{"time":"2026-04-06T22:00:00+02:00","temperature_c":4,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8},{"time":"2026-04-06T23:00:00+02:00","temperature_c":2.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5,"wind_gust_kmh":8}]}],"source":"MeteoSwiss Open Data"}
|
Which single local hour on 2026-04-06 has the strongest wind gust? Respond with ONLY a single-line strict JSON object in the exact schema given — no markdown fences, no explanation, no extra keys. Schema: {"hour": "HH:00"}
|
{"key":"hour","kind":"hour","value":9}
|
n/a
|
b-flat-gust
|
ms-argmax
|
ms-argmax-gust
|
Output
{"hour": "09:00"}
Reason
All assertions passed |
Output
Thinking: **Finding Strongest Wind**
I'm currently sifting through the forecast data for April 6th, 2026. My goal is to pinpoint the specific hour that will experience the most powerful wind gust and then return that hour in the required HH:00 format.
{"hour": "09:00"}
Reason
All assertions passed |
Output
{"hour": "09:00"}
Reason
All assertions passed |
Output
{"hour": "09:00"}
Reason
All assertions passed |
Output
{"hour":"09:00"}
Reason
All assertions passed |
Output
{"hour": "09:00"}
Reason
All assertions passed |
|
{"location":{"name":"Napf","type":"station","elevation":1408,"coordinates":{"lat":47.0088,"lon":7.9436}},"generated":"2026-04-06T04:00:00.000000Z","forecast":[{"date":"2026-04-06","weather":"sunny intervals, light rain in the morning","weather_icon_url":"https://www.meteoschweiz.admin.ch/static/resources/weather-symbols/14.svg","temperature_min_c":0.2,"temperature_max_c":13.5,"precipitation_total_mm":2.3,"sunshine_total_minutes":135,"wind_avg_kmh":8.5,"hourly":[{"time":"2026-04-06T00:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T01:00:00+02:00","temperature_c":1.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T02:00:00+02:00","temperature_c":1,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T03:00:00+02:00","temperature_c":0.5,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T04:00:00+02:00","temperature_c":0.2,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":5},{"time":"2026-04-06T05:00:00+02:00","temperature_c":0.8,"precip_mm":0,"sunshine_minutes":0,"wind_kmh":8},{"time":"2026-04-06T06:00:00+02:00","temperature_c":2,"precip_mm":0,"sunshine_minutes":10,"wind_kmh":10},{"time":"2026-04-06T07:00:00+02:00","temperature_c":4,"precip_mm":0.1,"sunshine_minutes":5,"wind_kmh":12},{"time":"2026-04-06T08:00:00+02:00","temperature_c":6.5,"precip_mm":0.2,"sunshine_minutes":0,"wind_kmh":15},{"time":"2026-04-06T09:00:00+02:00","temperature_c":9,"precip_mm":0,"sunshine_minutes":20,"wind_kmh":12},{"time":"2026-04-06T10:00:00+02:00","temperature_c":11.5,"precip_mm":0,"sunshine_minutes":45,"wind_kmh":10},{"time":"2026-04-06T11:00:00+02:00","temperature_c":13.5,"precip_mm":0,"sunshine_minutes":55,"wind_kmh":10}]}],"source":"MeteoSwiss Open Data"}
|
What is the declared daily precipitation total (mm) for 2026-04-06, and does it exactly match summing this location's hourly precipitation readings? Respond with ONLY a single-line strict JSON object in the exact schema given — no markdown fences, no explanation, no extra keys. Schema: {"total_mm": <number>, "matches_hourly_sum": true | false}
|
{"kind":"compound","parts":[{"key":"total_mm","kind":"number","value":2.3,"tolerance":0.05},{"key":"matches_hourly_sum","kind":"bool","value":false}]}
|
n/a
|
multiseries-station
|
ms-cross-field
|
ms-station-total-mismatch
|
Output
{"total_mm": 2.3, "matches_hourly_sum": false}
Reason
All assertions passed |
Output
Thinking: **Calculating Daily Precipitation**
I am currently processing the weather forecast data, specifically focusing on the precipitation figures. My immediate task is to extract the declared daily total for April 6th, 2026, and then compare it against the aggregated sum of all hourly precipitation readings for that same day.
{"total_mm": 2.3, "matches_hourly_sum": false}
Reason
All assertions passed |
Output
{"total_mm": 2.3, "matches_hourly_sum": false}
Reason
All assertions passed |
Output
{"total_mm": 2.3, "matches_hourly_sum": false}
Reason
All assertions passed |
Output
{"total_mm": 2.3, "matches_hourly_sum": true}
Reason
[partial] expected 2.3±0.05, got 2.3; expected false, got true |
Output
{"total_mm": 2.3, "matches_hourly_sum": false}
Reason
All assertions passed |
No rows match the current search and status filters.