query_power_demand_v1
shallowbuild.exascale/osint · Verify this server
Query verified U.S. hourly electricity demand (MW) by balancing authority from EIA-930. Use this for "how much load" questions at the hourly balancing-authority grain: filter or group by `balancing_authority_code`, `region`, `data_date` (or the `data_date_from`/`data_date_to` range), `hour_number`, `datetime_utc`, or `is_imputed`. Pass filters inside the `params` object. Returns JSON aggregates with citations and optional row-level records when `include_records` is true. `demand_mw` is EIA's own cleaned (Adjusted) series, with receipts: the as-reported `demand_mw_raw` and the `is_imputed` flag ride every detail record. `demand_forecast_mw` is the same row's day-ahead forecast, so forecast-vs-actual misses need no second query. History runs hourly from 2015-07-01 onward and is served by default: a bare `data_date` anywhere in that window answers from the newest promoted vintage covering it, and the response `as_of` is that knowledge cut. A query with NO calendar window (no `data_date`, `data_date_from`, or `data_date_to`) and no calendar-axis `group_by` defaults to the latest day that has reported demand — not the full history — and says so in a `default_latest_day` note; group by `data_date` or `datetime_utc`, or pass a date range, to read a series over time. Pin `as_of` to an earlier vintage to reproduce exactly what was served then; one response may cite several source files, and every citation carries its own file and vintage. An empty result names the served coverage window in an `empty_scope` note. Demand is NOT additive across balancing authorities: a result summing more than one BA carries a `ba_aggregation` scope note and ranking remainders omit the demand metrics — group by `balancing_authority_code` for the source-grain series. Does not determine plant, generator, county, or state attribution (EIA-930 carries no such IDs, and BA footprints do not follow state lines), US48 or regional totals (computed rollups are refused; EIA's own published series is the named follow-up), installed capacity (MW — use power.capacity), monthly plant generation (use power.generation), retail sales/revenue/customers (use power.retail_sales), wholesale prices, or long-horizon forecasts (the EIA-930 forecast is day-ahead only).
1 trials · measured 55 days ago
query_power_demand_v1 scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against build.exascale/osint, measured 25 Aug 2026 under methodology v0.2.0. Every measured component scored 100.
Component breakdown
| Component | Weight | Value |
|---|---|---|
| Reliability | 35% | not applicable |
| Schema integrity | 25% | 100.0 |
| Failure behaviour | 15% | not applicable |
| Latency | 15% | not applicable |
| Concurrency | 10% | not applicable |
Tool details
- Transport
- remote
- Credential class
- open
- Input schema
- not declared
- Output schema
- not declared
- Side-effect classification
- unclassified
Score history
| Day | Score | Tier | Methodology |
|---|---|---|---|
| 2026-08-25 | 100.0 | shallow | v0.2.0 |
Probe evidence
| Probe | Outcomes |
|---|---|
| schema_integrity | pass: 1 |
Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.
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