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Weather Consensus Endpoint (x402-seller)
x402
Weather Consensus Endpoint (x402-seller) is a paid API for AI agents from x402-seller-m8nx.onrender.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-11).
Returns a blended consensus temperature at a lat/lon point by fusing multiple weather sources (Open-Meteo, NOAA-NWS, 7timer) with agreement scoring, paid per-call via x402 USDC microtransaction.
Price / call$0.01
Success—
StatusUnknown
How this service works
Rug protection and decision-ready intelligence for autonomous trading agents. Keyless by design: no signup, no API key — pay a cent per request in USDC (x402). The /alpha/launches LAUNCH RADAR discovers what just launched AND rug-screens every candidate in one call, ranked per-token verdicts — the proactive 'give me safe alpha' call. /vet gives a single-token go/no-go in ONE call by fusing a COMPOSITE rug score (GoPlus static analysis + a LIVE Honeypot.is buy/sell simulation + serial-rugger check) with our SELF-COLLECTED liquidity-drain trend — a rug-in-progress signal that exists nowhere for free because it requires collecting reserves over time. One call is cheaper than the inference tokens you'd burn stitching 4 free APIs, and it stops your agent losing its whole position to a honeypot. Also: /onchain/liquidity drain detector, /screen batch watchlist check, /brief market regime, and raw feeds (prices, stocks, DEX pools, launches, perp funding/OI).
Output
A JSON object containing the query coordinates, an array of per-source temperature readings (each with source name and tempC, or an error/timeout flag), and a consensus object with blendedTempC, stdevC, sourceCount, and agreementScore (0-100).
Example use cases
Real-time temperature consensus for a city
“Get me the blended consensus temperature for New York City — latitude 40.71, longitude -74.01 — and tell me how much the different weather sources agree.”
Field sensor cross-validation
“I need to cross-check my IoT sensor reading against multiple weather APIs for the coordinates 51.51 latitude, -0.13 longitude — can you get a fused temperature estimate with a standard deviation?”
Automated weather reliability check
“For my autonomous agent pipeline, fetch the multi-source weather consensus at lat 35.68, lon 139.69 and tell me the agreement score so I can decide whether to trust the reading.”
Technical details
Endpoint
GEThttps://x402-seller-m8nx.onrender.com/weather/consensus?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a single, reliable temperature reading at a specific coordinate and want automatic multi-source fusion with an agreement quality signal — rather than calling Open-Meteo, NOAA-NWS, and 7timer separately and reconciling them yourself. Useful when agent reliability matters more than raw cost, since one call replaces three API integrations.
Side effects
- One or more upstream sources may timeout, reducing sourceCount and widening stdevC
- Payment failure via x402 returns 402 with no data
- Invalid or out-of-range lat/lon may return a validation error
- Low agreementScore indicates sources diverge significantly — blendedTempC may be unreliable
- All sources failing returns no consensus data
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"query": {
"lat": 40.71,
"lon": -74.01
},
"sources": [
{
"tempC": 23.6,
"source": "open-meteo"
},
{
"tempC": 28.3,
"source": "noaa-nws"
},
{
"error": "timeout",
"source": "7timer"
}
],
"consensus": {
"stdevC": 2.35,
"sourceCount": 2,
"blendedTempC": 26,
"agreementScore": 53
}
}
}Tags
x402
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