Grid & utility data, API-first

The definitive source for U.S. & Canada grid data.

interXdata normalizes interconnection queues, distributed generation, large-load demand, and regulatory filings into one clean, queryable API — so your team can make siting and timing decisions on trustworthy data instead of scattered spreadsheets.

Get started Explore the API

Built for solar developers first — expanding across the energy transition.

interconnection-queue.sh

# Active solar in the PJM queue, by point of interconnection
curl https://api.interxdata.com/v1/queue \
  -H "Authorization: Bearer $INTERXDATA_KEY" \
  -d "iso=PJM" \
  -d "resource_type=solar" \
  -d "status=active"

# =>
{
  "count": 1284,
  "results": [
    {
      "project": "Cedar Ridge Solar",
      "mw": 200,
      "poi": "Conemaugh 500kV",
      "cluster": "TC2",
      "status": "active"
    }
  ]
}

Coverage 7 ISOs / RTOs· Distribution queues· Large-load & data centers· FERC + state PUC filings· U.S. & Canada

What it is

One normalized source of truth for the grid.

Grid data is public but fragmented — dozens of ISO portals, hundreds of utility queues, and millions of regulatory documents, each in its own format and cadence. interXdata runs the reliable ETL: we ingest from the authoritative sources, normalize to a consistent schema, resolve entities across pillars, and keep it fresh — so you query one API instead of maintaining fifty scrapers.

Data pillars

Four pillars, cross-linked into one entity graph.

Every project, utility, facility, and filing is connected — so a queue position ties back to the docket that governs its cost.

Transmission interconnection queues

ISO/RTO queues — CAISO, PJM, MISO, SPP, ERCOT, ISO-NE, NYISO — modeled by cluster study cycle (SPP DISIS, MISO DPP, PJM TC), with an LBNL historical backbone.

Transmission

Distribution & DG interconnection

The high-volume tier: per-utility distribution queues across many states and vendor portals, normalized to a distribution sub-schema built for net-metering and feeder-level detail.

Distribution

Data-center & large-load demand

Facility-level tracking of large loads tied to interconnection requests and utility filings — the demand side of the grid, geolocated and linked to the projects racing to serve it.

Demand

Regulatory dockets & filings

FERC eLibrary and state PUC dockets, ingested and LLM-parsed into structured records — rate cases, interconnection-cost filings, IRPs — with citations back to the source page.

Regulatory

API-first

Designed to be integrated, not just browsed.

The dashboard is for exploration; the API is the product. Consistent schemas, predictable filtering and pagination, and stable identifiers mean interXdata drops straight into your models, pipelines, and internal tools.

Unified schema — every ISO and utility normalized to one canonical model based on the LBNL codebook.
Rich filtering — query by ISO, state, utility, resource type, status, cluster, or point of interconnection.
Change history — daily snapshots surface status changes, withdrawals, and new requests as an event stream.
AI & MCP access — natural-language querying and an MCP server so agents can reach the data directly.
Bulk & streaming — CSV exports and data-share for teams that want the whole set.

filings.py

import interxdata

client = interxdata.Client(api_key=KEY)

# Structured records parsed from FERC + PUC filings
filings = client.filings.search(
    utility="Dominion Energy Virginia",
    doc_type="interconnection_cost",
    since="2026-01-01",
)

for f in filings:
    print(f.docket, f.filed_date, f.mw, f.cost_usd)
    # each field cites source page + confidence

How it works

From fifty sources to one call.

Ingest

Scheduled ETL pulls from ISO portals, utility queues, and regulatory systems — by API, download, or resilient scraping — on each source's native cadence.

Normalize

Every source maps to a canonical schema. Entity resolution links projects, developers, utilities, facilities, and filings into one graph.

Serve

Query it through a documented REST API, an MCP server for AI agents, the dashboard, or bulk export — all off the same source of truth.

Build on grid data you can trust.

Create an account to get API access and explore the dashboard. Solar developers first — the rest of the energy transition close behind.