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x402-factory Minneapolis Hourly Weather Forecast
x402
x402-factory Minneapolis Hourly Weather Forecast is a paid API for AI agents from x402-factory.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-13).
Returns a bias-blended hourly weather forecast for Minneapolis (temperature, precipitation probability, wind) up to 168 hours ahead, with each data point labeled by its production method.
Price / call$0.01
Success—
StatusUnknown
How this service works
Hourly Minneapolis weather forecast (blend model, method labeled) — Hourly weather forecast for Minneapolis: temperature, precipitation probability, and wind, up to 168 hours out. NWS-derived series, bias-blended with our calibrated station model where covered — every response labels the method that produced it. Same shape as /v1/forecast/point with the Minneapolis coordinates built in.
Output
An ordered hourly time series (up to 240 hours, defaulting to 48) containing temperature, precipitation probability, and wind data for Minneapolis, with each entry labeled by the method used to produce it (NWS-derived or bias-blended calibrated station model). Units are imperial by default or metric if requested.
Example use cases
Outdoor event planning in Minneapolis
“I'm organizing an outdoor festival in Minneapolis this Saturday — can you get me the hour-by-hour temperature, rain chance, and wind forecast for the next 48 hours so I can decide on tent placement?”
Minneapolis commute weather check
“What's the hour-by-hour weather looking like for Minneapolis tomorrow morning through evening — specifically temperature and any chance of rain or strong wind?”
Week-ahead Minneapolis weather monitoring
“Pull the full 168-hour hourly forecast for Minneapolis in metric units — I need temperature and precipitation probability for each hour so I can plan logistics for next week.”
Technical details
Endpoint
GEThttps://x402-factory.com/v1/forecast/minneapolisWhen to prefer
Choose this endpoint when you need an hourly Minneapolis-specific weather forecast without supplying coordinates, and you want each data point labeled by its production method (NWS vs. bias-blended calibrated model). It is preferable over generic point-forecast endpoints when Minneapolis is your fixed target city and method transparency matters.
Side effects
- hours parameter out of range (must be 1–240) — validation error
- units value not in enum (imperial/metric) — validation error
- NWS upstream outage may degrade or delay forecast data
- Payment failure (x402) if USDC balance insufficient
- Stale data if NWS feed delayed — method label will still indicate source
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object |
Tags
x402
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