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Weather Oracle API — Probabilistic Temperature Forecast (Bucket Distribution)
x402
Weather Oracle API — Probabilistic Temperature Forecast (Bucket Distribution) is a paid API for AI agents from 91-197-235-206.sslip.io, paid per call via x402, $0.02/call, status unknown (last checked 2026-09-14).
Returns a probabilistic daily max-temperature forecast as a bucket distribution for a given ICAO weather station, using a multi-model ensemble with seasonal bias correction.
Price / call$0.02
Success—
StatusUnknown
How this service works
Probabilistic daily max-temperature forecasts for the 51 cities behind Polymarket weather markets. Multi-model ensemble with per-model seasonal bias correction, refreshed hourly. Pay per request in USDC on Base via x402 — no accounts, no API keys.
Output
A JSON object containing an array of probability buckets (each with a probability 'p' and a temperature range label such as '<21C', '24C', '>27C'), plus the ensemble center temperature in Celsius, the forecast sigma in Celsius, the ICAO station code, and the target date.
Example use cases
Polymarket weather bet research
“I'm considering betting on the Polymarket market for whether São Paulo hits above 27°C tomorrow — can you pull the Weather Oracle bucket probabilities for SBGR on 2026-08-15 so I see each range's chance?”
Daily temperature risk check for travel
“Before I fly to New York tomorrow, can you get me the probabilistic max-temperature forecast for KNYC for tomorrow so I know if there's a high chance of it being really hot?”
Multi-city temperature comparison for prediction markets
“Pull the Weather Oracle bucket distributions for both SBGR and EGLL for today so I can compare which city has more probability mass in the over-27°C bucket.”
Technical details
Endpoint
GEThttps://91-197-235-206.sslip.io/forecast/SBGR/bucketsWhen to prefer
Choose this endpoint when you need probabilistic temperature forecasts specifically aligned with Polymarket weather prediction markets, want per-bucket probability distributions rather than a point estimate, need seasonal bias-corrected multi-model ensemble output, and prefer a pay-per-call USDC model with no API key setup. It is ideal for agents automating prediction-market research or risk assessment on temperature outcomes for the 51 supported cities.
Side effects
- Invalid or unsupported ICAO station code — station not in the 51-city catalog returns an error; use /markets (free) to verify coverage
- Date out of range — only today or tomorrow (city-local time) are valid; past or far-future dates return an error
- Payment failure — insufficient USDC balance or x402 payment not confirmed results in 402 Payment Required with no forecast data
- Stale ensemble — forecast is refreshed hourly; if all upstream models are unavailable, response may be delayed or return a degraded result
- Malformed date format — date must be YYYY-MM-DD; other formats will be rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"buckets": [
{
"p": 0.16,
"range": "<21C"
},
{
"p": 0.1,
"range": "24C"
},
{
"p": 0.21,
"range": ">27C"
}
],
"sigma_c": 3.9,
"station": "SBGR",
"center_c": 24.3,
"target_date": "2026-08-14"
}Tags
x402
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