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8020IQ

Predictive Intelligence

8020IQ
Data Engine

The Intelligence Pipeline Behind Every Score.

The Data Engine ingests 1,800+ data points per property from multiple sources. Public records, permits, financial signals, and property data. Cleaned, normalized, and scored every one.

How the Data Gets In

Multiple Sources. One Clean Pipeline.

Bad data produces bad scores. Every data point that enters the engine is cleaned, validated, and normalized before it influences any prediction. Garbage in, garbage out is not a risk we take.

Foreclosure Filings: Daily

Lis pendens and NOD filings pulled daily from county court records across all US counties. Earliest possible signal on distressed properties.

Bankruptcy & Divorce: Weekly

Federal bankruptcy filings and county divorce records pulled weekly. High-correlation signals for motivated seller identification.

Tax Records: Monthly

Property tax assessments, delinquency data, and ownership records refreshed monthly from county assessor databases.

Permit & Property Records: Weekly

BuildZoom permit records, First American property data, and material lifespan models updated weekly to surface renovation and replacement signals.

Data refreshes daily, weekly, and monthly depending on source type. You always work from the most current intelligence available.

The Pipeline

Sources → Processing → Scored Output. Every Cycle.

8020IQ / DATA ENGINE, Intelligence Pipeline · Live
Sources
Public Records
Permit Data
Financial Signals
Property Records
Processing
Cleaning
Dedup & validate
Normalization
Standardize fields
Feature Extraction
Derive signals
Output
Scored Lists
Ranked Properties
Refreshed daily, weekly & monthly
Vertical-Specific Data

Different Verticals. Different Data Sources.

The signals that predict a motivated seller are not the same signals that predict a roof replacement. Each vertical gets its own curated data set, engineered for what actually predicts in that market.

8020REI Data Sources
Foreclosure FilingsBankruptcyDivorceTax LiensProbateProperty RecordsEquity PositionMLS Off-Market+1,800 more
8020Roof Data Sources
Permit HistoryRoof AgeMaterial TypeClimate ExposureInsurance RiskNeighborhood ReplacementsContractor Activity+1,800 more
How It Works

Ingest. Clean. Score. Deliver.

01

Ingest

Raw data pulled from public records, permit databases, financial filings, and property registries. Daily, weekly, and monthly cadences depending on source type.

02

Clean

Duplicates removed, addresses normalized, fields standardized. Bad data is flagged and filtered before it ever touches the scoring model.

03

Score

Clean signals feed into the predictive model. Every property gets scored across 1,800+ attributes. Output is a ranked list, highest probability at the top.

04

Deliver

Scored lists delivered on your monthly cadence. Ready to work, no filtering, no sorting, no exports required.

Get Started

Ready to See It in Action?

See how 1,800+ data points per property get ingested, cleaned, and compressed into one actionable score. Delivered monthly, ready to work.

Talk to Sales 1,800+ data points. One actionable score.