Physical world context for AI agents
One API for data, enrichment, tools and signals.
Every value cited
One API to connect your agents to physical world data, enrichment, tools and signals
AI agents — Claude, ChatGPT, Kimi, Gemini, Cursor, Grok, Copilot, DeepSeek, or custom agents — ask Mireye through one API with MCP tools. Mireye returns cited data, enrichment, proprietary fields, signals and tools, indexed from the physical world. A field the catalog doesn't have yet can be requested — matched against the catalog first, and a genuine gap becomes one queued build that flows back into Mireye for every caller after.
Sectors we power
Data center siting
Renewable energy siting
Insurance underwriting
Mortgage & title
Residential land
Commercial lending
Ask anything about a place.
Ask a question about a place and get a cited answer. One call can resolve an address, fetch fields, and measure distances, and you get back the plan it ran so you can replay it.

mireye powered agent · claude-opus
The parcel and its context.
Authoritative parcel identity, ownership, and attributes alongside public coordinate data. One Enrich price, regardless of how many fields you select.

mireye powered agent · claude-opus · tools: mireye_enrich
Find the parcels that fit.
Filter every U.S. parcel by state, size, and supported Search fields, then enrich the finalists with cited evidence. Your agent gets candidates it can rank, not a list it has to trust.

mireye powered agent · claude-opus · tools: mireye_search, mireye_enrich
Cited facts at any location.
Name the fields or a preset and get typed values for any US location, each with its source, fetch time, and confidence. Send hundreds of locations in one call, and one bad address does not fail the rest.

mireye powered agent · claude-opus · tools: mireye_fetch













