Weather Oracle API — Probabilistic Temperature Forecast is a paid API for AI agents from 91-197-235-206.sslip.io, paid per call via x402, $0.05/call, status unknown (last checked 2026-09-15).
Returns a probabilistic daily max-temperature forecast (CDF, center, sigma) for a specified city via ICAO station code, paid per-request in USDC over x402.
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.
Returns a JSON object containing: a cumulative distribution function (cdf_c) as an array of [temperature_celsius, probability] pairs, a center temperature (center_c) in Celsius, a standard deviation (sigma_c) in Celsius, the station ICAO code, and the target date. Together these describe the full probability distribution of daily maximum temperature for the requested city and date.
GEThttps://91-197-235-206.sslip.io/forecast/SBGR/distributionChoose this endpoint when you need a full probabilistic temperature forecast (CDF + uncertainty) rather than a single point estimate, especially for one of the 51 cities covered by Polymarket weather markets. It is ideal for prediction market agents, risk-modeling workflows, or any use case requiring calibrated temperature probability distributions. Prefer it over generic weather APIs when you need per-model bias-corrected ensemble output refreshed hourly, and when a pay-per-call USDC micropayment model is acceptable (no account or API key required).
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"cdf_c": [
[
20,
0.13
],
[
24,
0.46
],
[
28,
0.82
]
],
"sigma_c": 3.9,
"station": "SBGR",
"center_c": 24.3,
"target_date": "2026-08-14"
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