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Saylor Innovations Data Desk – NOAA Station Climate History
x402
Saylor Innovations Data Desk – NOAA Station Climate History is a paid API for AI agents from saylorinnovations.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-29).
Returns historical daily or monthly weather data for a NOAA GHCN station, including high/low/mean temperatures, precipitation, snowfall, hottest day, wettest day, and heating/cooling degree days
Price / call$0.01
Success—
StatusUnknown
How this service works
Historical daily or monthly weather for a NOAA station - high, low and mean temperature, rain, snow, wettest day, hottest day and heating and cooling degree days
Output
A JSON object containing the station ID, name, latitude, longitude, requested date range, data source, and two main sections: a summary object (hottest day, coldest day, wettest day, mean high/low in Celsius/Fahrenheit, total precipitation, snowfall, heating/cooling degree days) and a time series array of daily or monthly records with individual temperature, precipitation, and degree-day values.
Example use cases
Monthly climate summary for travel planning
“Get me a monthly weather summary for NOAA station USW00014739 (Boston Logan Airport) for all of 2023 — I want mean highs and lows, total precipitation, and the hottest and coldest days of each month.”
Heating degree day analysis for energy audit
“Fetch the daily heating and cooling degree days for NOAA station USW00094728 from 2023-11-01 to 2024-03-31 so I can analyze how cold the winter was and estimate heating energy usage.”
Precipitation extremes for flood risk research
“Look up historical daily rainfall records for NOAA station USW00023174 (Los Angeles) between 2023-01-01 and 2023-12-31 and tell me which day had the most rain and what the total annual precipitation was.”
Technical details
Endpoint
GEThttps://saylorinnovations.com/api/climate/station-history?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need structured historical climate data — temperatures, precipitation, degree days — for a specific NOAA GHCN weather station by station ID. It is ideal when you already know the station ID and want summarized statistics alongside a full time series. Prefer alternatives if you need real-time or forecast data, if you need to search for stations by location (this requires a known station ID), or if you need data from non-NOAA sources.
Side effects
- Invalid or unknown NOAA station ID returns an error or empty result
- Date range with no available data for the station returns an empty series
- Malformed date format (not YYYY-MM-DD) causes a parameter error
- Requesting very long date ranges may return incomplete data depending on station record availability
- Station may have missing observations for certain days, resulting in null values in the series
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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