GFS+ECMWF ensemble temperature probability for NWS weather prediction markets
GFS+ECMWF ensemble temperature probability for NWS weather prediction markets
Answeringour last check, 2026-09-24
1 of 1checks answered this week
737 msmedian answer time
$0.02listed price per call
$0.02price it asked us
Paid test badge: not yet. The checks above are free: we call the tool without paying and read the payment request it sends back. The Verified badge needs paid calls whose answers match the promised output, and nobody can buy a badge.
Endpoint
GET https://weather.lonestaroracle.xyz/forecast
| Category | Everything else |
|---|---|
| Provider host | weather.lonestaroracle.xyz |
| Networks | eip155:8453, solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp |
| Payment schemes | exact |
| Self-reported calls, 30 days | 1 from 1 payers (the provider's figure, not ours) |
Our checks, last 30 days
| Day | Result | HTTP | Asked | Time |
|---|---|---|---|---|
| 2026-09-24 | valid payment request | 402 | $0.02 | 737 ms |
Example input (from the provider)
{
"method": "GET",
"queryParams": {
"city": "example",
"date": "example",
"direction": "greater",
"threshold": 1
},
"type": "http"
}
Promised output schema (from the provider)
{
"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 \u2014 WeatherOracle",
"properties": {
"input": {
"properties": {
"method": {
"enum": [
"GET",
"HEAD",
"DELETE"
],
"type": "string"
},
"queryParams": {
"properties": {
"city": {
"title": "City",
"type": "string"
},
"date": {
"title": "Date",
"type": "string"
},
"direction": {
"default": "greater",
"title": "Direction",
"type": "string"
},
"threshold": {
"title": "Threshold",
"type": "number"
}
},
"type": "object"
},
"type": {
"const": "http",
"type": "string"
}
},
"required": [
"type",
"method"
],
"type": "object"
},
"output": {
"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\u00b0F) = 31.2% | Mean 71.4\u00b0F \u00b1 3.2\u00b0F | Confidence: medium",
"target_date": "2026-04-26",
"threshold_f": 73
},
"type": {
"type": "string"
}
},
"required": [
"type"
],
"type": "object"
}
},
"required": [
"input"
],
"tags": [
"weather",
"forecast",
"prediction-market",
"kalshi",
"probability",
"gfs"
],
"type": "object",
"version": "1.0.0"
}