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Information architecture

RentalAnalytics is organized around top-level sections. Calculators do the work. The tax hub is educational literacy, kept apart from market math. Markets and Dashboard surface the data. Blog explains the methodology. AI Agents, MCP, and the Muse connector expose everything as tools an agent can call. Legal makes the trust posture explicit.

Top-level navigation

Tools (12 pages)

Listed here (12):

Tax literacy (educational, client-side)

Not tax prep, not e-file, not a 1031 qualified intermediary. Worksheets run in the browser from user-typed numbers and do not require a live HUD fetch.

Games

  • Cap Rate. five-hand underwriting table. Buy HUD FMR, vacancy, OpEx, and market cap, then bid closest to true value without going over. Challenge links use ?t= seed.

Section 8 voucher premium

Metro dashboards (100)

The 100 largest metropolitan statistical areas by Census Bureau population on July 1, 2025. Each page is /markets/<slug> and uses HUD FY2026 Fair Market Rent, ACS 2024 5-year rent, value, and income, and the Census Building Permits Survey.

    Rates

    Buyer's shortlist

    Resource center (5 starter articles)

    MCP tools

    • How to connect
    • POST /mcp. Streamable HTTP. Read-only calculators and HUD lookup.

    AI agents & machine-readable files

    RentalAnalytics is built so an AI agent or MCP client can consume it directly. Playbooks pair prompt templates with copyable API/MCP calls; the machine-readable files let an agent discover tools without reading the HTML.

    Legal & trust

    Datasets exposed at /assets/data/

    Crawler-facing