AEML Grid Region Gauge 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 three-leg energy grid stress snapshot for a given US power region: temperature-driven demand pressure (HDD+CDD), renewable generation (solar+wind), energy CPI inflation vs natural gas price, plus a cross-validated narrative.
[3-LEG] Power-grid chain, one grid region (?loc=us-ercot): leading demand pressure from heating and cooling degree days -> current renewable availability, solar and wind -> realized energy inflation (CPI energy year-over-year) and gas price (confirmation gate). A sequential chain, not one reading - confidence = how many legs are lit, in order. Sources: EIA, BLS, Open-Meteo. Descriptive only, never a forecast or advice. No data -> 422 no_charge, not billed.
A JSON object containing: a neutrality declaration (nature), location key, named legs object with signal readings (signal_id, current value, observed_at, data age, record hash) for HDD/CDD, solar, wind, energy CPI, and natural gas price; a cross-line narrative describing demand vs renewables vs inflation alignment; provenance block with freshness, data lineage traceable to ERA5 and FRED; optional decision_points listing swappable tags; Ed25519-signed citation for zero-trust verification; data grade and scope disclosures.
GEThttps://aeml-x402.zeabur.app/gauge/grid-regionChoose this endpoint when you need a pre-assembled, multi-signal energy grid stress snapshot for a specific US power region in a single call, with verifiable provenance traceable to official ERA5 and FRED sources, rather than assembling degree-day, renewable, and commodity signals separately. Particularly valuable when cross-validated narrative and cryptographic record hashes for auditability are required.
| Field | Type | Description |
|---|---|---|
| input | object | |
| output | object |
{
"type": "json"
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