Live US electricity grid data for energy & infra AI.
An energy or infrastructure agent needs current grid conditions — sourced and citeable. Dynamic Feed serves US EIA electricity data keyless over MCP or REST, each response signed and carrying its reported period.
The call
Keyless over MCP, or one REST call with a free key. Every datapoint is provenance-stamped and citeable.
# Keyless — one signed call over REST:
curl -s https://dynamicfeed.ai/v1/batch -H "Content-Type: application/json" \
-d '{"calls":[{"tool":"energy_grid","args":{}}]}'
# MCP (keyless) — point any client at https://dynamicfeed.ai/mcp, then call energy_grid()Sample response
{ "region": "US48", "metric": "demand", "value": 0, "unit": "MWh", "period_utc": "...Z",
"source": "US EIA", "signature": { "alg": "Ed25519", "key_id": "df-ed25519-6ca0de29113b" } }Why live data
Dynamic Feed serves US electricity-grid data via the EIA v2 API (US Energy Information Administration, public domain) — hourly demand and net generation in MWh and the fuel mix in MW, by balancing-authority region — in a provenance envelope, signed over its exact bytes and verifiable against /.well-known/keys. Scope is the US grid only. It surfaces what the EIA published at a time — it is data, not energy-market or trading advice, and not a guarantee of completeness.
Use it for
- Ground an energy / infrastructure agent in live US grid conditions
- A signed record of regional demand or generation at a point in time
- Demand-response, siting and load-planning workflows
- Pairs with grid carbon-intensity and weather feeds
FAQ
What does it cover?
The US electricity grid via the EIA — hourly demand, net generation and fuel mix by region (balancing authority). It does not cover non-US grids.
Is this trading advice?
No. Dynamic Feed surfaces public EIA grid data with provenance and a signature. It is operational data, not energy-market or financial advice.
What does signing prove?
That Dynamic Feed served this exact reading at this time, and it hasn't been altered since — authenticity and integrity, not that any downstream inference is correct.