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US Grid Reliability Gauge by Balancing Authority (EIA-930)
x402
US Grid Reliability Gauge by Balancing Authority (EIA-930) 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 multi-leg operational strain gauge for a US power grid balancing authority, covering forecast pressure, current tightness, and realized stress signals derived from EIA-930 data.
Price / call$0.25
Success—
StatusUnknown
How this service works
[3-LEG] Grid reliability chain, one balancing authority (?entity=us-ercot): leading EIA-930 day-ahead demand forecast approaching recent peak, about one day of lead -> current current demand against capacity tightness -> realized reserve and interchange response (confirmation gate). A sequential chain, not one reading - confidence = how many legs are lit, in order. Sources: US EIA-930. Descriptive only, never a forecast or advice. No data -> 422 no_charge, not billed.
Output
A structured JSON object with multi-leg signal readings (forecast pressure, operational tightness, realized strain), a cross-line narrative describing grid state, provenance metadata with freshness indicators, data lineage traceable to EIA-930, decision points for alternative entity queries, and a citation block with Ed25519-signed claims for zero-trust verification. Includes honest scope/grade disclosures noting this reflects operational strain, not outage data.
Example use cases
Data center siting grid risk check
“We're evaluating a new AI compute campus in Texas — can you pull the current EIA-930 grid reliability gauge for ERCOT and tell me how tight the supply margin is, whether the grid is leaning heavily on imports, and if forecast demand is approaching recent peak levels?”
Demand response trigger monitoring
“I need to know if the MISO balancing authority is showing operational stress right now — check the forecast pressure versus actual generation headroom and flag if the demand is exceeding the day-ahead forecast, since that's our trigger for demand response activation.”
Energy-intensive industrial scheduling
“Before we run our overnight aluminum smelter at full load, can you check how strained the PJM grid is right now using the EIA-930 gauge — specifically the net generation, interchange reliance, and whether forecast errors suggest the grid is tighter than expected?”
Technical details
Endpoint
GEThttps://aeml-x402.zeabur.app/gauge/grid-reliability-regionWhen to prefer
Use this endpoint when you need a consolidated, causally-linked view of US grid operational strain for a specific balancing authority — combining day-ahead demand forecasts, real-time supply margin, interchange reliance, and forecast error cross-validation in one call. Prefer this over raw EIA-930 API queries when you need pre-computed strain indicators with provenance, freshness tracking, and honest scope disclosures ready for agent consumption. Ideal for data-center/AI-compute siting decisions, demand-response agent triggers, parametric insurance underwriting, and energy-intensive industrial scheduling. Not appropriate when you need confirmed outage data or feeder-level fault information.
Side effects
- Missing or invalid EIA_API_KEY returns an auth/key error — endpoint is key-gated
- Unknown or unsupported entity key returns an error or empty legs
- EIA-930 data latency may cause stale freshness flags if upstream feed is delayed
- Endpoint confirms operational strain only — does not report actual outages or feeder-level failures
- Some signals may have elevated data_age_hours if EIA publishes infrequently
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| input | object | |
| output | object |
Output
Schema · Response
{
"type": "json"
}Tags
x402
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