Mireye: Ground Truth for AI Agents in Physical Space

Mireye is an API providing verified physical location data, enrichment, and tools for AI agents operating in the United States. It aims to prevent large language models (LLMs) from hallucinating when asked specific questions about real-world places.

Founded by Ansh, Mireye emerged from the challenge of building construction agents that struggled with ground-level information. The founder observed that existing LLMs could reason broadly but lacked accurate, contextual knowledge about specific parcels or structures, leading to unreliable outputs for critical tasks like insurance underwriting.

"Frontier models keep hallucinating when asked a specific question about a specific place."

The service is not merely a data set. It provides a comprehensive suite of features: cited facts, address enrichment (owner, acreage, structures, nearby utilities), and specialized tools. These tools address common agent failures, such as miscalculating distances or selecting incorrect parcels, ensuring deterministic outputs for spatial queries.

Mireye's core value lies in its meticulous data curation. It gathers information county by county, normalizes it into a unified schema, and continuously refreshes it. A significant effort is dedicated to typing data absence – distinguishing between "no flood zone here" and "this county never mapped floods" – to prevent models from generating plausible but incorrect information.

The platform also offers on-demand indexing. If a requested field is unavailable, a dedicated agent system researches, collects, and indexes the data, typically within a day. This proactive approach ensures a growing, precise knowledge base.

Use cases span various industries: insurance portfolio screening, property technology for address cleaning, retail site scoring, warehouse sourcing for robotics, and urban planning. Mireye positions itself as indexing every inch of the earth, making it queryable for AI agents.

Pricing includes a free tier with 5,000 credits per month, a $19/month plan for 25,000 credits, and a $99/month plan for 120,000 credits, with enterprise options available. It is currently focused on US locations.