Mireye
Physical world context for AI agents, delivered through one API and MCP server with cited,
Mireye is a physical-world data layer for AI agents, providing cited data, enrichment, signals, and tools through a single API and MCP server. It addresses the problem of agents lacking reliable, sourced information about US locations, returning each field with its source, fetch time, and confidence rather than estimates.
The API includes endpoints for natural-language questions about places (/v1/ask), geocoding addresses (/v1/geocode), resolving addresses to canonical parcels with county and census codes (/v1/lookup), fetching cited fields at coordinates (/v1/fetch), drive-time proximity calculations (/v1/proximity), and requesting fields not yet in the catalog (/v1/field-requests). Field presets cover use cases such as data center siting, flood risk, grid interconnect, and wildfire underwriting. Proximity operations cover US and Canadian locations.
Mireye is built for AI agents and teams working on site selection, underwriting, lending, and related location analysis. Pricing is credit-based with a free plan offering a monthly credit allowance, paid plans at higher credit tiers with rate limits and monthly field-request allowances, and a custom Enterprise tier with SLAs and volume pricing. Credits reset monthly and do not roll over; there is no overage billing.
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