Mireye
Mireye is a physical world data infrastructure for AI agents. It provides cited data, plot enhancement, signals and computing capabilities through the same set of APIs and MCP tools, covering U.S. scenarios such as data center site selection, renewable energy site selection, insurance underwriting, mortgages and commercial credit.
Updated: 2026-10-27
What is Mireye?
Mireye's official website describes itself as the "physical world context for AI agents", serving Claude, ChatGPT, Gemini, Cursor, Copilot or self-built AI agents. The website depicts its form as an API plus MCP tools: after an AI agent asks a question, Mireye returns data with citations, enhanced results, proprietary fields, signals and tools; the website also states that each field comes with citations, sourced from public institutions such as USGS, FEMA, NOAA, USDA, EPA, and Census, as well as parcel records and data like Sentinel-2.
Who is it for?
- AI agent development teams that need to add citeable geographic context for site selection, underwriting, due diligence or mortgage analysis.
- Engineering teams that want to let Claude, Cursor, or custom-built agents directly query parcel, topographic, flood, and public infrastructure information.
- Insurance, real estate, energy, and financial analysis teams that need to formalize their conclusions into audit materials.
- Developers building agents for geographic research, due diligence, or risk assessment in the U.S. market.
Key features
6Natural Language Location Q&A
The provided POST /v1/ask on the official website supports querying about locations. A single call can parse addresses, read fields, calculate distances, and also return execution plans for playback.
Parcel and Context Enrichment
The POST /v1/enrich provided on the official website targets parcel identity, ownership and attributes, and it is stated that the price of one Enrich does not stack based on the number of selected fields; the free Fetch is available when only public coordinate fields are needed.
Full Citations
The official website states that every value comes with a citation, with sources covering data systems such as flood, topographic, energy, land, population and remote sensing data, making it easy to trace the agent's conclusions back to the original sources.
Unified Entry for Connecting Agents
The official website describes it as an API combined with MCP tools, which can connect multiple models and self-built agents, making physical world data available as callable tools for agents.
Industry Scenario Templates
The official website lists use cases such as data center site selection, renewable energy site selection, insurance underwriting, mortgage and title, residential land, and commercial credit, and provides example fields such as slope, flood zone, power line distance, wind speed, wetland, and soil.
Field Gap Queueing
The official website states that fields not available in the catalog can be requested first. After being confirmed as genuine gaps through catalog matching, they enter the construction queue and are made available to all users once completed.
How to use Mireye
- First check the boundaries between Ask, Enrich, Fetch and Search in the official website documentation, then decide which questions to ask through natural language Q&A and which to directly retrieve structured fields for, avoiding sending all structurable queries to the Q&A interface.
- Retain the citation chain in the product output.
- do not only display the final values.
- for high-risk decisions, review the original sources and update times.
- Use the official pricing page to confirm free quotas, request frequencies, and the price of each operation, then design batch query and caching strategies.
- Geographical data has regional and update cycle limitations.
- the official website currently indicates coverage of the United States.
- verify data availability before expanding to new markets.
- If a field is missing, first go through the field request process to confirm whether it already exists in the directory, and do not manually guess and map it at the application layer.
Traffic & popularity
Data month Sep 2026
Mireye receives about 3.0K visits per month and ranks #6,452,342 worldwide.
Monthly visits
6 monthsTraffic sources
- Direct43.8%
- Referrals29.2%
- Social19.2%
- Search4.8%
- AI assistants3.0%
Top countries
- United States81.0%
- India19.1%
Estimated from third-party traffic data.
