About AddressIntel

AddressIntel is a real estate intelligence platform designed to uncover hyper-local market inefficiencies, track neighborhood evolution, and provide predictive insights for investors, developers, and civic planners.

Our Methodology

Multi-Source Data Fusion

We don't rely on a single MLS feed. Our proprietary pipeline ingests data from municipal permit portals (e.g., Accela, eTRAKiT, CivicClerk), county assessor records, and public market listings. This allows us to track the entire lifecycle of a property—from a planning commission agenda to a fully permitted renovation to a final sale.

Update Cadence: Data is fetched, processed, and reconciled every 6 hours to ensure high fidelity.

Proprietary Predictive Scoring

Traditional real estate data is retrospective. We use historical permit density, sale-to-list ratios, and days-on-market velocity to generate forward-looking metrics:

  • Flippability Score: Measures the likelihood a property is a prime target for renovation based on neighborhood comps and local permit velocity.
  • Teardown Predictor: Identifies lots where the land value significantly eclipses the structure value relative to neighboring new constructions.
  • Bidding War Probability: A real-time gauge of hyper-local demand for specific property profiles.

AI Vision Condition Analysis

We leverage advanced multimodal AI (Google Gemini) to analyze property photos. This allows us to systematically grade interior and exterior conditions—identifying outdated kitchens, deferred maintenance, or premium finishes—data that is impossible to glean from public tax records alone.

Public Impact & Data Usage

AddressIntel operates under fair use guidelines, aggregating public civic and market data to provide transparency into housing stock turnover, neighborhood gentrification vectors, and municipal planning efficiency. We believe that democratizing access to high-fidelity, predictive property data empowers not just investors, but also civic planners and community advocates.