ATTOM Launches AI-Powered Hyperlocal Home Price Index
Event summary
- ATTOM introduced the ATTOM Home Price Index (HPI) on August 25, 2026, expanding its Valuation Analytics portfolio.
- The HPI provides hyperlocal residential price trends and forecasts from the national level down to census blocks.
- Powered by machine learning and 30+ years of proprietary property data, the index updates monthly and offers up to 36 months of forecasts.
- Unlike traditional metrics, the HPI measures underlying market appreciation by modeling millions of validated residential transactions.
- The solution includes separate indices for single-family homes, condominiums, townhomes, and an all-residential composite.
The big picture
ATTOM's launch of the HPI underscores the growing importance of AI-driven property intelligence in real estate analytics. By offering hyperlocal insights and forecasts, the company is positioning itself to capture a larger share of the data-driven decision-making market. This move aligns with broader industry trends toward automation and predictive analytics in property valuation and investment strategies.
What we're watching
- Adoption Pace
- How quickly real estate, mortgage, and financial services firms integrate the HPI into their decision-making processes.
- Forecast Accuracy
- Whether the AI-powered forecasts prove more reliable than traditional home price metrics over time.
- Competitive Response
- How competitors in the property data space react to ATTOM's hyperlocal indexing capabilities.
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