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ABCData (ABCData Labs) — Proprietary US residential real-estate transaction dataset at listing/sale level: 4+ years of home sales history across 20,000+ US ZIP codes with 90+ variables per sale, core dataset refreshed daily. Derived from listing-level observation rather than MLS feeds, plus property-owner data. Delivery through Crux Informatics into Snowflake / S3 / SFTP.. Enterprise-grade data footprint in a micro-cap package: 20,000+ ZIPs, 4+ years of daily-updated sale records, 90+ attributes per sale, enterprise delivery through Crux Informatics - run by a 1-10 employee privately held New…
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Proprietary US residential real-estate transaction dataset at listing/sale level: 4+ years of home sales history across 20,000+ US ZIP codes with 90+ variables per sale, core dataset refreshed daily. Derived from listing-level observation rather than MLS feeds, plus property-owner data. Delivery through Crux Informatics into Snowflake / S3 / SFTP.
Scale 20From 4 yearsCoverage Real Estate · Financials
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ABCData (ABCData Labs) — Proprietary US residential real-estate transaction dataset at listing/sale level: 4+ years of home sales history across 20,000+ US ZIP codes with 90+ variables per sale, core dataset refreshed daily. Derived from listing-level observation rather than MLS feeds, plus property-owner data. Delivery through Crux Informatics into Snowflake / S3 / SFTP.. Enterprise-grade data footprint in a micro-cap package: 20,000+ ZIPs, 4+ years of daily-updated sale records, 90+ attributes per sale, enterprise delivery through Crux Informatics - run by a 1-10 employee privately held New…
ABCData (ABCData Labs) offers (Alternative, Fundamental, Geospatial) — 20,000+ US ZIP codes x 4+ years of sales history x 90+ attributes per sale. At roughly 5-6M US residential transactions per year that implies a base of tens of millions of sale records with a wide feature vector - est. 20-30M rows and 100-300GB including listing-level price-change history..
Automated valuation model training and benchmarking (90+ features per sale is a ready-made supervised target/feature set); price-reduction and elasticity models that require intra-listing price history rather than a single sold price; institutional multifamily and single-family rental acquisition screening; developer site-selection and absorption models; housing-price nowcasting indices for macro and hedge-fund strategies; broker/portal listing-quality models.
The data is with 4 years of history.
Coverage spans US; Real Estate Management & Development, Financial Exchanges & Data; alternative, fundamental, geospatial; equities, fixed_income.
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