GFS+ECMWF ensemble temperature probability for NWS weather prediction markets
GFS+ECMWF ensemble temperature probability for NWS weather prediction markets
20000 (raw units)
price
1
calls / 30d
1
unique payers
2026-09-01
updated
Provider
weather.lonestaroracle.xyz · discovered, not yet claimed by its owner
Payment (x402 accepts[])
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]Output schema
{
"bazaar": {
"info": {
"input": {
"method": "GET",
"queryParams": {
"city": "example",
"date": "example",
"direction": "greater",
"threshold": 1
},
"type": "http"
},
"output": {
"example": {
"city": "Chicago",
"confidence": "medium",
"data_source": "7-model consensus via Open-Meteo: GFS, ECMWF, ICON, GEM, HRRR, NAM, NBM (all free)",
"days_out": 5,
"direction": "greater",
"ensemble_members": 31,
"mean_high_f": 71.4,
"prob_exceeds": 0.312,
"rain_probability": 0.18,
"std_high_f": 3.2,
"summary": "Chicago on 2026-04-26: P(high > 73°F) = 31.2% | Mean 71.4°F ± 3.2°F | Confidence: medium",
"target_date": "2026-04-26",
"threshold_f": 73
},
"format": "json",
"type": "object"
}
},
"schema": {
"category": "weather",
"description": "7-model consensus + 80 ensemble members (GEFS 30 + ECMWF 50). Returns blended prob_exceeds (empirical + Gumbel), trade signal (YES/NO/PASS), ensemble_empirical_prob, method_divergence (forces PASS if >0.15), and outlier model. Coordinates aligned to NWS ASOS settlement stations used by Kalshi and Polymarket.",
"name": "LoneStarOracle — WeatherOracle",
"properties": {
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"properties": {
"method": {
"enum": [
"GET",
"HEAD",
"DELETE"
],
"type": "string"
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"queryParams": {
"properties": {
"city": {
"title": "City",
"type": "string"
},
"date": {
"title": "Date",
"type": "string"
},
"direction": {
"default": "greater",
"title": "Direction",
"type": "string"
},
"threshold": {
"title": "Threshold",
"type": "number"
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"type": {
"const": "http",
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"properties": {
"example": {
"city": "Chicago",
"confidence": "medium",
"data_source": "7-model consensus via Open-Meteo: GFS, ECMWF, ICON, GEM, HRRR, NAM, NBM (all free)",
"days_out": 5,
"direction": "greater",
"ensemble_members": 31,
"mean_high_f": 71.4,
"prob_exceeds": 0.312,
"rain_probability": 0.18,
"std_high_f": 3.2,
"summary": "Chicago on 2026-04-26: P(high > 73°F) = 31.2% | Mean 71.4°F ± 3.2°F | Confidence: medium",
"target_date": "2026-04-26",
"threshold_f": 73
},
"type": {
"type": "string"
}
},
"required": [
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"type": "object"
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},
"required": [
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"tags": [
"weather",
"forecast",
"prediction-market",
"kalshi",
"probability",
"gfs"
],
"type": "object",
"version": "1.0.0"
}
},
"bc_kg64bd18": {}
}Use it
curl
curl "https://weather.lonestaroracle.xyz/forecast" # -> 402 Payment Required, accepts[] lists how to pay # retry with a PAYMENT-SIGNATURE (or PAYMENT header) once paid
JavaScript
const res = await fetch("https://weather.lonestaroracle.xyz/forecast");
if (res.status === 402) {
const { accepts } = await res.json();
// pay one of accepts[] via an x402 client, then retry with the payment header
}Python
import httpx
res = httpx.get("https://weather.lonestaroracle.xyz/forecast")
if res.status_code == 402:
accepts = res.json()["accepts"]
# pay one of accepts[] via an x402 client, then retry with the payment headerMachine-readable
Everything on this page is also available as clean JSON at /resources/5533.json, and this resource appears in /discovery/resources and /discovery/search.