YC-backed Mireye launches API to provide physical-world data for AI agents

Mireye addresses a gap in AI agent infrastructure by offering a single API to query physical-world data. Currently, agents like Claude or custom models must either guess answers or integrate multiple geospatial and environmental datasets manually. Mireye’s API consolidates these into one endpoint, returning cited data with timestamps and confidence scores. This reduces the engineering effort required to build agents that make location-based decisions, such as siting a solar farm or assessing flood risk for a property.

The API’s value lies in its provenance and refusal to guess. For example, a query about elevation returns a specific value with a source (e.g., USGS), fetch time, and confidence level, rather than an estimated range. Similarly, geocoding and lookup endpoints refuse low-confidence matches, avoiding centroid-grade inaccuracies. This rigor is critical for applications like insurance underwriting or commercial lending, where decisions depend on precise, auditable data. However, the API’s utility is limited to the fields Mireye has indexed; gaps must be requested and queued for future inclusion.

Mireye’s catalog includes data from federal agencies (e.g., FEMA, NOAA, USGS) and commercial providers (e.g., Overture, Regrid). The API supports preset bundles for common use cases, such as data center siting or renewable energy planning, which include fields like slope, flood zones, and utility infrastructure. While this simplifies development, it also means adopters are dependent on Mireye’s data pipeline and confidence scoring. Engineers must weigh the convenience of a unified API against the risk of vendor lock-in or gaps in coverage for niche use cases.

The API’s design reflects a focus on reproducibility and transparency. Responses include the plan used to resolve a query, allowing agents to replay or audit the decision-making process. This is particularly useful for regulated industries like mortgage lending, where traceability is required. However, the API’s current scope appears limited to the U.S., as all cited sources are federal or U.S.-focused. For global applications, engineers would need to supplement Mireye with additional data sources or wait for the catalog to expand.