Mireye Launches API for Physical-World AI Agent Data

Mireye, founded by Ansh, offers a unified API that supplies AI agents with the data, enrichment, tools, and change‑signals needed to make decisions about any U.S. location. The service aggregates over 360 distinct fields from county‑level sources, normalizes them into a single schema, and continuously refreshes the data. A demo video demonstrates how a user can paste a Mireye skill URL into an agent and receive instant, cited facts about a place, such as owner, acreage, nearby utilities, and zoning changes. Documentation and a free key (5,000 credits per month) are available at mireye.ai, and the platform includes deterministic geometry, parcel resolution, a job‑pricing endpoint, and pre‑packaged workflows for site screening and underwriting.

Mireye was born from the limitations of frontier models that often hallucinate when asked specific questions about real‑world locations. After building a niche site‑screening app that failed to attract users, the company pivoted to the underlying infrastructure that powers agents. The platform handles the complexity of sourcing data from disparate county portals, contracts each field with metadata on origin, meaning, and refresh frequency, and treats missing values as explicit absences to avoid model‑filled gaps. An on‑demand indexing feature lets agents request a new field, trigger a data‑collection pipeline, and have the result indexed within a day. Customers span insurance teams assessing flood and wildfire risk, proptech firms cleaning address lists, robotics companies locating warehouses, and city planners mapping bus routes.

Pricing is tiered: a free plan with 5,000 credits per month, $19 for 25,000 credits, $99 for 120,000 credits, and custom enterprise options. Users report that the system’s refusal to return uncertain data builds trust, and the breadth of use cases—from data‑center site selection to human‑trafficking signals—illustrates the platform’s versatility. Mireye’s mission is to index every inch of the U.S. and make that information as queryable as the web.