1,800+ Data Points.
One Score That Matters.
Every property in your territory scored by motivation probability, equity position, and BuyBox fit. One number. Ranked. Delivered monthly.
Every Distress Signal. Every Life Event. All Compressed Into One Score.
- Foreclosure filings
- Bankruptcy records
- Tax liens
- Code violations
- Pre-foreclosure notices
- Divorce proceedings
- Probate filings
- Death records
- Job loss indicators
- Relocation signals
- Equity position
- Permit history
- Days vacant
- Absentee ownership
- Ownership duration
- Neighborhood velocity
- Comparable sales
- DOM trends
- Price reduction history
- Investor activity
Three Scores Per Property. Zero Ambiguity.
BuyBox Score (0 to 1000) · Likely Deal Score (0 to 1000) · Final Composite Score (0 to 1000). Together, they rank every property in your territory.
From Raw Data to Ranked List in Minutes.
Data Ingestion
250+ data sources pulled daily, public records, court filings, property databases, and proprietary signals. No stale data.
Feature Extraction
Raw data is normalized, weighted, and structured into feature vectors. Each property gets its full signal profile assembled.
Model Scoring
Our ML model runs every property through three scoring passes: BuyBox fit, motivation probability, and final composite rank.
Ranked Output
Scores delivered as a ranked list, highest-probability properties first. Your team works the list top-down. No guessing.
Ready to See It in Action?
See how 1,800+ data points get compressed into one score that tells you exactly who to call first.