A comprehensive data source registry and scoring framework for property-level intelligence. Each data stream is weighted, directional, and compounding — producing a single gravity score that predicts value trajectory before the market sees it.
Sum of each signal's weight (wᵢ) × normalized score (sᵢ) × directional multiplier (dᵢ) × temporal decay (tᵢ) × zoning modifier (zᵤ). Output: –100 to +100 per property. Zoning modifiers: mixed-use downtown +20%, industrial near Innovation District +15%, suburban residential –5%.
When 3+ signals from different categories converge on the same property or 500m radius, a 20% compounding multiplier applies per additional signal. Clusters are the key insight. Backtesting indicates 20% better captures OKC corridor dynamics than the original 15%.
Gravity from an anchor property decays exponentially with distance (d) at a density-adaptive rate r(ρ). Dense urban (Midtown, Bricktown): r = 500m. Suburban corridors (NW, NE): r = 800m. Exurban/rural fringe: r = 1,200m. Density calculated from parcel count per grid cell.
| # | Category | Data Source | What It Signals | Property Impact | Lead Time | Weight | Direction | Status |
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How to interpret a property's composite score — and what action it implies for a broker.
Multiple converging negative signals. Vacancy risk, value deterioration likely. Exit or short-term lease strategy.
More headwinds than tailwinds. Monitor closely. Possible repositioning play or patient acquisition.
Signals balanced. No immediate action indicated. Background monitoring only.
Net positive signal cluster forming. Early indicator. Outreach to owner now positions you ahead of market awareness.
Strong converging upside signals. Value trajectory is up. Call the owner today. Adjacent properties likely underpriced.