What is Mireye?

Mireye is infrastructure that connects AI agents to physical-world data through a single API with MCP tools. It returns cited data, enrichment, proprietary fields, signals, and tools indexed from the physical world, sourced from federal and open datasets like USGS, FEMA, NOAA, and USDA. Agents such as Claude, ChatGPT, Gemini, and Cursor can query Mireye to make decisions about places with sourced, timestamped answers.

How to use Mireye?

Sign up to get 5,000 free credits per month. Integrate the API or MCP tools into your AI agent, then call endpoints such as POST /v1/ask to ask anything about a place, /v1/geocode to turn an address into a coordinate, /v1/lookup for full place context, /v1/fetch for cited facts, and /v1/proximity to measure distances. Review docs, templates, and pricing to choose a plan matching your volume.

Core features of Mireye

POST /v1/ask: ask anything about a place and get a cited answer with the plan it ran
POST /v1/geocode: turn a US street address into a coordinate with derivation method and confidence score
POST /v1/lookup: one string returns the whole place stack
POST /v1/fetch: cited facts at any location
POST /v1/proximity: measure what the data can't say
POST /v1/field-requests: request a field that doesn't exist yet, queued as a build
MCP tools integration for Claude, ChatGPT, Gemini, Cursor, and custom agents
Cited data from federal and open sources (USGS, FEMA, NOAA, USDA, EPA, and more)