Mireye
Physical world data API for AI agentsOne API for location facts and measurements
Highlights
What you can do with it
- Data center siting checks slope, FEMA flood zones, and nearby substations
- Renewable energy screening reviews irradiance, orientation, and soil drainage
- Insurance underwriting pulls flood zones, wind speed, and coastline distance
How to use it
- 1 Register on the Mireye website and log in
- 2 Pick a use case such as data center, energy, or insurance siting
- 3 Enter the location, address, or coordinates for your question
- 4 Send the request through the API or MCP tools
- 5 Review the enriched results and submit a field request if something is missing
Who it is for
Pros
- Every field carries a source, timestamp, and confidence level
- Custom fields can be requested and added to the catalog
- Free tier works without a credit card
Limitations
- Credits are consumed per request, so volume drives cost
- Coverage is finite unless you wait for a custom field to be built
- Custom field research and validation takes time
- Decisions still need human validation before capital is committed
What Mireye is
Mireye is a service that provides physical world data to AI agents. Instead of an agent guessing at facts about a place, Mireye answers through a single API and MCP server with data that carries a source, a retrieval timestamp, and a confidence level. You can ask location questions in natural language, convert an address into coordinates, pull facts about a specific point, and run measurements such as proximity analysis that go beyond raw fields. Coverage draws on 85 authoritative sources, and missing fields can be requested for research and validation. The free tier includes 5,000 credits per month without a credit card, and paid plans start at $19 per month.
What you can do with it
- Ask natural language questions about elevation, land use, demographics, and similar attributes.
- Convert addresses and place names into precise coordinates through geocoding.
- Retrieve fact-based data with citations for any location you specify.
- Run measurements that raw data cannot express directly, such as proximity and potential value analysis.
- Request a field that does not exist yet and have it researched, built, and validated into the catalog.
Who it is for
- Data center teams evaluating slope, flood zones, and nearby substation capacity.
- Renewable energy developers screening solar and wind sites for irradiance and terrain.
- Insurance underwriters who need flood zones, design wind speed, and coastline distance.
What to watch out for
Credits are consumed per request, so heavy querying moves you onto a paid plan quickly, and the free 5,000 credits per month set the ceiling for casual testing. Coverage is finite outside custom fields, and a requested field takes time to research and validate, so it is not a real-time fix for an urgent decision. Confidence levels and timestamps matter: older or lower-confidence data should be checked before it informs a costly siting or underwriting choice. Treat the output as decision support rather than a final answer.
FAQ
Is there a free tier?
Yes, the free tier provides 5,000 credits per month and does not require a credit card.
How reliable is the data?
Each field comes with a source, a retrieval timestamp, and a confidence level, drawn from 85 authoritative sources.
What if a field is missing?
You can submit a request and the team researches, builds, and validates the new field, then adds it permanently.
How is it priced?
Pricing is credit-based, with paid plans starting at $19 per month and no overage beyond the plan quota.
Why it is free
What the official page says： free tier
Free limits, trial length and features are decided by the official site and can change at any time.
Product preview
Screenshot archived from the listing page, for preview only.
