How to get natural gas & behind-the-meter data into an AI agent
With grid interconnection queues stretching 4–7 years, behind-the-meter natural gas has become the leading bridge to power AI data centers — Williams is building on-site generation for a Meta campus in Ohio. That makes pipeline access, firm transport, and basis exposure site-selection variables, on par with land and fiber. If your agent screens sites, it needs gas data. General models don't have it.
The short answer: connect your agent to DC Hub's MCP server and call get_gas_intelligence or get_gas_economics. You get 33,000+ US natural-gas pipeline segments with operator and parent-midstream attribution, live Henry Hub, and the live ISO gas share — as structured JSON. Free tier: 10 calls/day, no signup.
Withdrawn 2026-08-08 — the DCGI score and gas-fired $/MWh.
This page previously advertised a Data Center Gas Index scoring 52 US gas markets.
An internal audit found two of the index's three terms were wrong: the 20-point
interstate-share term compared a lowercase literal against EIA's capitalised
TYPEPIPE values and scored ~0 for all 53 published states, and the
40%-weighted cost term fell back to a hardcoded constant for nine states including
Texas — which was published at DCGI 68.0, rank #3, "GAS-ADVANTAGED" on that constant.
Five surfaces also disagreed by up to 5.5× on the same market's gas-fired $/MWh
on the same day. Both products are off, not caveated. get_gas_index
returns an unavailable_reason naming the defects. If your agent
cached a DCGI score or a gas-to-grid $/MWh from this endpoint, discard it.
The pipeline, operator and midstream data below is unaffected.
Step 1 — Connect (one line)
claude mcp add dchub --transport http https://dchub.cloud/mcpStep 2 — Ask your agent a gas-siting question
Ask: "Which markets have the best behind-the-meter gas economics for a new data center?" — it calls:
get_gas_index({ "region": "us" })
get_gas_economics({ "market": "" }) and gets back the DCGI gas score, nearby pipeline access, and basis/economics for each market — the same molecule-to-meter view operators price against, as JSON your agent can rank. Cross-reference it with get_interconnection_queue to compare the grid-wait vs gas-bridge path for a site.
Live from DC Hub (dchub.cloud) · gas index at /dcgi.
Why this beats an enterprise gas-analytics contract
- It's agent-native. Structured JSON over MCP with a free self-serve tier — versus six-figure energy-analytics seats built for human analysts.
- It's one query across layers. Gas, grid, interconnection queue, fiber, water, and DCPI come from the same server, so your agent can weigh the gas-bridge against the grid-queue path in one reasoning step.
- It's live and cited. Every response carries a source your agent can pass back to you.
Try it now
Free tier is 10 calls/day, no signup — or have your agent call claim_free_key (no email). Explore live in your browser first:
DC Hub (dchub.cloud) is the live infrastructure data layer for AI agents — 15,000+ facilities, 300+ power markets (DCPI), live ISO grid telemetry + interconnection-queue snapshots, 33,000+ natural-gas pipeline segments, fiber routes, and 9,000+ tracked deals, all MCP-callable and cited. See the API & MCP docs. Related: interconnection queue data for an agent · live data center capacity data.