YOUR AGENT NEEDS ENERGY DATA
IT CAN ACTUALLY ACT ON.

MCP: Grid-Data gives your agent access to real-time and historical energy data from energy markets and beyond. Not raw feeds. Interpreted signals, structured for machines.

REAL-TIME ENERGY DATA.
ONE MCP. NO CLEANUP REQUIRED.

Most energy data APIs give you a fire hose. You get raw grid numbers and then spend time figuring out what they mean before your agent can do anything useful.

MCP: Grid-Data gives you interpreted signals. The data comes pre-processed, contextualized, and structured so your agent can go from signal to decision in a single call.

One MCP. Every energy signal your agent needs. No data science team required.

mcp_grid_data.py
from lod import GridDataMCP
# Initialize MCP
mcp = GridDataMCP(api_key="your_key")
# Get current signal
signal = mcp.get_signal(
zone="LZHUSTON",
include_forecast=True
)
# Response
{
"action": "curtail_now",
"confidence": 0.94,
"reason": "coincident_peak_risk"
}

EVERYTHING YOUR AGENT
NEEDS TO NAVIGATE THE GRID.

Real-Time

Live Energy Prices

LZHUSTON, LZNORTH, LZSOUTH, LZWEST, interpreted, not raw. Your agent knows what to do with them.

Historical

Full Data Archive

Complete historical energy data structured for training, backtesting, and strategy validation.

Signals

Interpreted Signals

Curtailment signals, coincident peak risk flags, demand response opportunities. Pre-processed and actionable.

Ancillary

Ancillary Markets

ECRS, REGUP, REGDOWN, RRS. Full ancillary market coverage with context attached.

Forecast

Forward Curves

DAM and real-time forward price curves for planning and co-optimization.

Agent

Machine-Ready Format

Every response is structured for direct consumption by AI agents. No cleanup, no parsing complexity.

INTERESTED?

READY TO BUILD GRID-AWARE AGENTS?

Get MCP Access

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