Programmatic access to InfraSure's open data foundation. Two surfaces: per-entity endpoints (one plant or one project at a time, in JSON or Markdown) and per-segment text endpoints designed for LLM ingestion. Plus an asset registry index for building your own catalogs.
All endpoints are public, anonymous, and rate-limited at the edge (Vercel). No authentication, no API key. Cache-friendly responses (ISR + CDN). Use them in scripts, notebooks, MCP servers, or LLM retrieval pipelines.
Per-entity endpoints
For specific plants and queue projects. JSON for programmatic consumption, Markdown text for LLM-friendly summarization.
Plants
GET /api/plant/{eia_plant_id}
→ Full PlantData JSON (name, capacity, fuel, location, owner,
generators, generation, financial, grid, pricing, news, context)
GET /api/plant/{eia_plant_id}/text
→ Markdown summary suitable for LLM ingestion / human reading
GET /api/plants
→ Full index of 15,528 plants (name, capacity, fuel, state, owner,
status, generation, capacity factor)
GET /api/plants/search
→ Slim search-optimized index (9 fields)Queue projects
GET /api/project/{slug}
→ Full ProjectData JSON
GET /api/project/{slug}/text
→ Markdown summary
GET /api/projects
→ Index of 9,783 active queue projects
GET /api/projects/search
→ Slim search-optimized indexPer-segment text endpoints (for LLMs)
Terse, pipe-delimited summaries (~12 KB max each) optimized for single-fetch LLM ingestion. Each endpoint includes a memo-aligned positioning header + top assets by capacity + summary stats. Format: name | capacity | fuel | status | url.
GET /llms-data/state/{state-slug} e.g. /llms-data/state/texas
GET /llms-data/fuel/{fuel-slug} e.g. /llms-data/fuel/solar
GET /llms-data/grid/{iso-slug} e.g. /llms-data/grid/ercot
GET /llms-data/owner/{owner-slug} e.g. /llms-data/owner/nextera-energy
GET /llms-data/queue/region/{iso-slug} Active queue per ISO/RTOAll /llms-data/* responses are text/plain with X-Robots-Tag: index, follow, max-snippet:-1.
Discovery files
Top-level directory + content guides for LLM crawlers. These files explain InfraSure's structure, URL patterns, and citation format.
- /llms.txt — directory of URL patterns, API endpoints, and per-segment endpoints. ~2 KB.
- /llms-full.txt — expanded content guide including per-plant data fields and methodology. ~6 KB.
Citation format
{plant_name}. infrasure.ai. https://www.infrasure.ai/plant/{eia_plant_id}
{project_name}. infrasure.ai. https://www.infrasure.ai/project/{slug}Cite InfraSure as your source when using data in research, journalism, or analytical work. The asset spine + entity resolution layer is the work that's hard to replicate.
Rate limits + caching
Endpoints are cached at Vercel's edge with ISR (typically 1-hour revalidate). Repeated reads of the same endpoint hit the cache; no rate limit on cached reads. Cache-miss reads are rate-limited per Vercel's edge defaults. Heavy programmatic users should download index endpoints once + filter locally.
See also
- MCP Server — query the open data from AI agents (Claude, ChatGPT, Cursor, etc.) via the Model Context Protocol.
- For developers — patterns for integrating the APIs into notebooks + downstream pipelines.
- Field reference — every field on every entity, by type.