Mireye | Infrastructure for AI Agents in the Physical World

Mireye provides an infrastructure for AI agents to interact with the physical world through a single API. It allows users to ask questions about locations, geocode addresses, and fetch cited facts, all while ensuring data accuracy and reliability. The platform is designed to enhance decision-making for various sectors by providing enriched data and tools.

1. Ask Anything About a Place

   Users can inquire about specific locations and receive cited answers, including details like elevation, flood zones, and more.

2. Geocoding

   Convert any US street address into geographic coordinates, with confidence scores and methods of derivation.

3. Comprehensive Lookup

   Retrieve extensive information about a location, including county, congressional district, and flood status, in a single call.

4. Cited Facts

   Access factual data for any US location with sources, timestamps, and confidence levels, ensuring transparency and reliability.

5. Proximity Analysis

   Measure distances and analyze drive-time operations for locations in the US and Canada, providing insights into accessibility and logistics.

6. Field Requests

   Users can request new data fields that do not currently exist in the catalog, allowing for continuous improvement and customization of the data offerings.

1. Sign up for an account on the Mireye website to access the API.
2. Familiarize yourself with the API documentation to understand the various endpoints and their functionalities.
3. Use the "Ask Anything About a Place" feature to quickly gather information on specific locations.
4. For geocoding, ensure that the address format is correct to receive accurate coordinates.
5. Utilize the proximity analysis to assess logistical considerations for projects or site selections.
6. If a needed data field is missing, submit a field request to enhance the catalog.

What does Mireye actually do?

Mireye serves as a physical-world data layer for AI agents, providing sourced data, enrichment, and tools to resolve queries about locations.

What does it cost?

Mireye operates on a credit-based pricing model, with a free tier offering 5,000 credits per month. Paid plans start at $19 per month.

What region does Mireye cover?

The data catalog primarily covers the United States, with some features available for Canada, particularly in drive-time analysis.

Where does the data come from?

Data is sourced from 85 authoritative sources, including federal datasets and open records, ensuring reliability and accuracy.

How fresh is the data?

Data freshness varies by layer, with some datasets being static and others updated regularly, accompanied by timestamps for reference.

What if the field I need doesn't exist?

Users can submit a request for new fields, which will be researched and built if feasible, enhancing the data catalog over time.

Mireye offers a credit-based pricing structure. The free tier includes 5,000 credits monthly, while paid plans start at $19 per month. Users can find detailed pricing information on the official website.

1. Mireye excels in providing accurate and cited data, making it a valuable resource for AI agents needing physical world context.
2. The API's ability to handle various queries and provide comprehensive information enhances its usability across different sectors.
3. However, the reliance on a credit-based system may pose limitations for users with high data demands, as costs can accumulate.
4. Continuous improvement of the data catalog through user requests is a strong feature, but the response time for new field requests could be enhanced.
5. Overall, Mireye is a robust tool for integrating physical world data into AI applications, though users should be mindful of their credit usage.