AGENTKIT/WORKS

Mireye — AI search visibility

A single API plus an MCP server (mireye_ask / mireye_fetch) that gives AI agents physical-world facts about US locations -- flood zones, wildfire risk, land/utility/zoning records -- pulled from ~85 government and commercial sources, for agents deciding on site selection, insurance, energy or land diligence · mireye.com

Cited in 0 of 13 buyer queries

Rank 50 of 101 on the index · checked 2026-09-24 · every row below is a measured result, not an estimate

THE QUERIES, AND WHO GETS NAMED INSTEAD

Buyer queryMireyeNamed instead
best API for flood zone and wildfire risk data by addressNot cited—
property data API for AI agentsNot cited—
MCP server for real estate and parcel dataNot cited—
zoning and land use data API for developersNot cited—
how do I give my AI agent access to parcel and property recordsNot cited—
how to check wildfire risk score for a US address with an APINot cited—
how to automate site selection due diligence for a data centerNot cited—
API for utility and grid interconnection data by parcelNot citedWatt Street
alternatives to Regrid parcel data APINot cited—
ATTOM vs CoreLogic property data APINot cited—
best API to give an LLM real world location and climate risk dataNot cited—
MCP server that gives Claude elevation, flood zone and wildfire data for a US addressNot cited—
how to stop AI agents hallucinating property data with cited sourcesNot cited—

Method: queries are phrased the way a buyer would ask, run against live AI answer engines on the date shown. “Cited” means the answer named Mireye or drew on its site as a source. The full audit behind this page also records every source domain per query.

Why Mireye doesn't appear — and how to fix it

The full audit names the exact pages answer engines read in this category, the three cheapest gaps to close, and the pages to publish first. It exists already — it is how this score was measured.

Something wrong or already fixed? Re-audits are free and this page updates either way.

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