Mireye is the physical-world layer for AI agents: sourced data, enrichment, and the tools on top of them. Ask a question in natural language, resolve an address to its canonical parcel, or fetch cited fields at any US coordinate — one API and one MCP server, with a citation attached to every field.
Credit-based pricing. The free tier is 5,000 credits a month with no card; paid plans start at $19/mo, and no plan bills past its allowance — usage stops rather than running up an overage. Credits are the unit across all endpoints, and the credit price per call type is published on the pricing page.
United States for the data catalog, with one exception: drive-time analysis (/v1/proximity) covers the US and Canada. Most of the catalog is US federal (USGS, FEMA, NOAA, USDA, BLM, EPA, EIA and more), with a few open and licensed additions such as Overture and Sentinel-2. Every value carries its own source, so you can always see which one you are relying on.
85 authoritative sources, federal datasets primarily, plus county records and open datasets. Every field in every response returns a source name, a source URL, a fetched_at timestamp, and a confidence level so the agent can pass provenance straight through to the end user or auditor.
It varies by layer. Elevation (USGS 3DEP) is effectively static. FEMA flood maps refresh on FEMA's cadence. USDA cropland updates yearly. Every response includes the fetched_at timestamp so the agent always knows what it is looking at.
Order it. Every plan includes field requests — file one and we research, build and validate the field, then notify you when it goes live: permanently, for every future caller. Requests are matched against the catalog first, and honestly rejected when they can't be built.