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Wildfire Causal-Chain Gauge (Region)
x402
Wildfire Causal-Chain Gauge (Region) is a paid API for AI agents from aeml-x402.zeabur.app, paid per call via x402, $0.25/call, status unknown (last checked 2026-09-13).
Returns a real-time wildfire causal-chain snapshot for a US fire-risk region, combining fire-weather conditions, active NASA FIRMS satellite hotspots, and downstream smoke/PM2.5 air quality into a sequentially verified narrative.
Price / call$0.25
Success—
StatusUnknown
How this service works
[3-LEG] Wildfire chain, one fire-risk region (?entity=us-california): leading fire weather - hot, dry and windy -> current active fire detections from NASA FIRMS satellite thermal anomalies -> realized downwind smoke impact (confirmation gate). A sequential chain, not one reading - confidence = how many legs are lit, in order. Sources: NASA FIRMS, NWS, EPA. Descriptive only, never a forecast or advice. No data -> 422 no_charge, not billed.
Output
A structured JSON object with: per-leg readings (fire-weather/heat-wind, NASA FIRMS hotspot count/intensity, PM2.5 smoke level) each with current value, observed_at timestamp, data age, and record hash; a cross-line causal narrative describing sequential signal activation; provenance block with freshness classification and data lineage traceable to official sources; scope/grade disclosures noting screening-level quality; optional decision_points for re-running with alternate region tags; and an Ed25519-signed citation for zero-trust offline verification.
Example use cases
Utility PSPS pre-event screening
“We need to decide on proactive power shutoffs in Northern California tonight — can you check the wildfire causal-chain for us-california and tell me if fire weather, active hotspots, and PM2.5 are all lighting up in sequence?”
Insurer real-time wildfire exposure check
“I'm underwriting a policy in the California foothills — pull the wildfire gauge for us-california and show me whether the NASA satellite fire detections and fire-weather conditions are aligned right now, with the data grade and freshness.”
Agricultural logistics wildfire routing
“Our harvest trucks are routing through Central California tomorrow — get me the wildfire causal-chain gauge for us-california including smoke PM2.5 levels and active hotspot data so we can decide on detours.”
Technical details
Endpoint
GEThttps://aeml-x402.zeabur.app/gauge/wildfire-regionWhen to prefer
Choose this endpoint when you need a pre-integrated, causally sequenced wildfire intelligence bundle for a US region — combining fire-weather (upstream leading), NASA FIRMS satellite hotspots (current), and PM2.5 smoke (downstream cross-validation) in a single call with provenance and verifiability guarantees. Prefer this over assembling individual weather, satellite, or AQI APIs when the goal is causal-chain narrative for insurers, utilities making PSPS decisions, logistics operators, or agricultural risk managers who need screening-level situational awareness with official-source traceability, not raw data assembly.
Side effects
- Invalid or unsupported entity key returns an error or empty legs
- NASA FIRMS data delayed by satellite pass timing — data_age_hours may be elevated
- Stale fire-weather data flagged in provenance as 'stale' rather than 'fresh'
- Payment not received or x402 authorization failure blocks response
- PM2.5 source temporarily unavailable — leg may be missing or flagged
- Region entity key format incorrect (must match expected slug like us-california)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| input | object | |
| output | object |
Output
Schema · Response
{
"type": "json"
}Tags
x402
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