ATTOM Launches AI-Powered Home Price Index with Hyperlocal Insights
ATTOM has launched the ATTOM Home Price Index (HPI), a new valuation analytics solution built on over 30 years of proprietary property data and powered by machine learning. The HPI provides hyperlocal residential price trends and forecasts, from national levels down to individual census blocks in the U.S., with updates issued monthly. It includes separate indices for single-family homes, condominiums, townhomes, and an all-residential composite. The index is designed to offer a more consistent view of housing market movements by modeling millions of validated residential transactions into a continuous price index rather than relying on median sale prices. ATTOM's CEO Rob Barber emphasized the role of AI in transforming how organizations use property data for predictive analytics, decision-making, and application development. The HPI joins other valuation tools like the ATTOM AVM to provide customers with comprehensive insights across real estate, mortgage, financial services, insurance, and technology sectors. The solution is available through various delivery methods including APIs and cloud access.
Topics: AI analytics home_price_index property_data