Mireye Launches API Infrastructure for AI Agents Making Physical Location Decisions

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Ansh, founder of Mireye (YC S26), has launched a unified API and MCP server that gives AI agents structured, cited data about any US location to support real-world decision-making. The platform arose from the founder's own experience building construction agents that could reason online but lacked reliable ground-level information, a gap also confirmed by a Fortune 500 insurer whose underwriting agents had failed for the same reason. Mireye covers 366 data fields spanning property ownership, parcel geometry, flood zones, infrastructure, and zoning signals, with each field returning a typed status of present, absent, or failed to prevent models from hallucinating missing values. Beyond static data, the platform includes deterministic geometry tools, parcel resolution, and an on-demand indexing feature that can research and add new data fields within roughly a day. Early users include insurance teams screening portfolios for climate risk and other location-sensitive workflows, with free access available via 5,000 credits at mireye.com.

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