Skip to main content
Glama

analyze_address

Read-only

Look up a US address (or bare 5-digit ZIP): ZIP-level home-price appreciation forecast (FHFA data back to 1975), estimated market rent, and neighborhood signals (schools, walkability, water quality, grocery/dining/outdoors proximity).

For a full street address this also returns sub-ZIP `nbhd*` fields describing the
specific census tract - how its prices, incomes and build era compare to the rest of
the ZIP. That is POSITION, not a neighborhood forecast; see _units.

property_type: sfr | condo | townhome | multi

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
addressYesFull US street address, or a bare 5-digit ZIP. Pass it whenever it is known: it grounds property tax, insurance and the appreciation forecast in that ZIP's real figures instead of national defaults.
bedroomsNoBedroom count, used to select the matching market-rent estimate for the ZIP. Defaults to 2.
property_typeNoOne of: sfr (single-family), condo, townhome, multi.sfr

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed3 schema fields changed
    • addedInput schema / properties / address / description
      Added value: +"Full US street address, or a bare 5-digit ZIP. Pass it whenever it is known: it grounds property tax, insurance and the appreciation forecast in that ZIP's real figures instead of national defaults."
    • addedInput schema / properties / bedrooms / description
      Added value: +"Bedroom count, used to select the matching market-rent estimate for the ZIP. Defaults to 2."
    • addedInput schema / properties / property_type / description
      Added value: +"One of: sfr (single-family), condo, townhome, multi."
  2. First observed

TDQS

Score is being calculated.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources