Real estate real estate data, reviewed end-to-end.
7 tools compared on pricing, features, and trade-offs. Updated June 2026 — pricing and tier inclusions re-verified directly with each vendor.
The piece of the stack this layer covers.
Definition
Real estate data tools provide access to MLS data, property records, market statistics, and analytics that help agents understand market conditions and advise clients effectively.
Data-driven decision making sets top agents apart. These tools provide access to comprehensive property data, market trends, neighborhood statistics, and predictive analytics to help agents serve their clients better.
MLS data access
Property history and records
Market trend analysis
Neighborhood statistics
Investment analytics
Data visualization
Every real estate data tool we track, in order of overall rating.
Each tool is re-verified at least quarterly. Pricing reflects publicly listed plans as of Feb 2026 — quote-based platforms are noted as such.
Cotality (formerly CoreLogic) is the largest enterprise property, mortgage, and risk analytics provider with 99%+ U.S. property coverage, serving lenders, insurers, and MLS platforms.
ATTOM Data Solutions provides comprehensive property data APIs covering ownership records, valuations, hazard risks, and neighborhood insights for 155M+ U.S. properties.
AI-powered investment property intelligence platform using computer vision and machine learning to analyze 140M+ US properties for investors, realtors, and lenders.
ICE Mortgage Technology (formerly Black Knight) provides enterprise mortgage servicing, origination data, and the RAP analytics platform for lenders and financial institutions.
Redfin Data Center provides free downloadable housing market datasets covering home prices, inventory, migration trends, and market conditions -- now powered by Rocket Companies.
Realtor.com API provides partner-based access to property listings and real estate data through Move, Inc., the official digital real estate platform of the National Association of Realtors.
Zillow API provides invite-only access to property data, Zestimate valuations, and listing information through Bridge Interactive for approved real estate technology partners.
The questions agents actually ask us.
Pulled from our reader survey and email inbox. If yours isn't here, check the long-form decision guides.
Where do real estate agents get market data?
Agents get most market data from their local MLS and, for NAR members, the free RPR platform, which now includes AI CMAs and market trend reports. For free housing-market statistics and migration trends, Redfin Data Center offers downloadable datasets at no cost. Property-level data APIs like ATTOM and Cotality power many of the tools agents use but are aimed at developers and enterprises rather than individual agents.
How do I access MLS data?
Join your local MLS through a brokerage and association membership, which grants direct access to listings and comparable sales for your market. To display MLS listings on your own website you need IDX approval from the MLS, which may carry monthly pass-through fees. Developers who need MLS-style data programmatically typically license property data APIs such as ATTOM rather than accessing the MLS directly.
What is the best free real estate data source for agents?
RPR is the best free data source for NAR members, offering property records, valuations, AI CMAs, and market trend scripts at no cost. Redfin Data Center is the best free source for market-level statistics like prices, inventory, and migration trends. Between the two, most agents can cover property research and market reporting without paying for a separate data subscription.
What is the difference between MLS data and a property data API?
MLS data is the agent-facing listing database for your local market, accessed through membership and governed by display rules. A property data API like ATTOM ($89.99 entry pricing) or Cotality delivers structured ownership records, valuations, and risk data programmatically, often nationwide, for developers building software. Agents use the MLS day to day; the data companies behind these APIs supply the tools agents rely on.
What market statistics should real estate agents track?
Track months of inventory, median and average sale price, days on market, list-to-sale-price ratio, and absorption rate for your farm area, since these signal whether it is a buyer's or seller's market. Redfin Data Center adds migration and inflow/outflow data you cannot find elsewhere. RPR's AI Market Trends turns these numbers into client-ready talking points so you can speak to local conditions with authority.