Accurate property valuation sits at the center of nearly every residential real estate decision, from underwriting a single rental to pricing a portfolio. The providers that supply this data vary widely in methodology, coverage, and the specific value they deliver to different users.
This guide walks through twelve valuation data providers that residential real estate investors, proptech founders, and data users frequently evaluate. For each one, we cover what it is, why it matters, and how to put it to work, so you can match a provider to your own workflow.
Quick Overview List
- Dwellsy IQ — A rental data provider sourcing unit-level listing data directly from property management systems, used to value rental income and benchmark rents.
- Cotality (formerly CoreLogic) — A large property data and analytics provider whose automated valuation models and property records are widely used across lending and investment.
- ATTOM — A bulk property data provider that aggregates tax, deed, mortgage, and valuation attributes across most U.S. residential parcels.
- Zillow (Zestimate) — A consumer-facing valuation estimate, backed by free research data sets that analysts use to study residential price trends.
- HouseCanary — A valuation and forecasting platform focused on automated values, three-year forecasts, and market analytics for residential assets.
- ICE (formerly Black Knight and Collateral Analytics) — A mortgage technology and data provider offering automated valuation models, condition-adjusted valuations, and home price data.
- Clear Capital — A valuation technology provider combining automated values with appraisal and inspection products for residential properties.
- Quantarium — An analytics firm using computer vision and machine learning to generate property values and condition insights.
- First American Data & Analytics — A property data and valuation provider drawing on extensive title and public record holdings.
- Veros — A collateral valuation firm offering the VeroVALUE automated valuation model and photo-based condition scoring.
- RentCast — A property data API offering home value and rent estimates, comparables, and property records with a free entry tier.
- Redfin — A brokerage-backed data source offering home value estimates and downloadable market data for residential analysis.
1. Dwellsy IQ
What it is
Dwellsy IQ is a rental data provider built on first-party listing data sourced directly from property management systems through the Dwellsy marketplace. Its dataset covers more than 17 million listings from 25,000+ property managers, with 250+ standardized attributes per listing across single-family rentals and multifamily. For residential valuation, it supplies the rent side of the equation: what comparable units actually ask, how fast they lease, and how rents are moving.
Why it matters
- Rents are captured where property managers set them, rather than scraped from listing sites or collected through surveys.
- Covers roughly 75% of professionally managed U.S. rental housing, across 800+ MSAs and 16,000+ ZIP codes.
- Supports the income approach to valuation, where rent assumptions drive the final value.
- A permanent unit-level identifier (URU) tracks each rental unit over time, which supports longitudinal analysis and model backtesting.
How to use it / Key details
- Use Total IQ (bulk delivery via AWS S3) or API IQ to feed unit-level rent data into an AVM or underwriting model.
- Use Trends IQ rent indices to adjust rent assumptions across time and geography.
- Use Dwellsy IQ Markets to test a proposed asking rent against active comparable listings of the same type and bedroom count within 5 miles, with median rent, rent bands, days on market, and an owner-ready report.
- Dwellsy IQ Markets offers a 7-day free trial, then $49/month. Enterprise data products are priced by quote.
2. Cotality
What it is
Cotality, which rebranded from CoreLogic in March 2025, is a property data and analytics company that maintains extensive residential property records and automated valuation models. Its data spans tax assessments, deeds, mortgages, and home price indices across the United States. Many lenders, insurers, and investors rely on it as a foundational data layer.
Why it matters
- Offers broad national coverage of residential parcels and transaction history.
- Provides automated valuation models used in lending and risk workflows.
- Includes home price indices that help track market movement over time.
- Supports both single-property lookups and large-scale portfolio analysis.
How to use it / Key details
- Pull automated valuations to support underwriting or portfolio monitoring.
- Combine property characteristics with transaction history for comparable analysis.
- Use home price index data to adjust values across time and geography.
- Pricing appears to be custom and quote-based, and our team couldn’t find published tiers.
3. ATTOM
What it is
ATTOM aggregates property information across the majority of U.S. residential parcels and makes it available in bulk and via API. Its data set includes tax, deed, mortgage, foreclosure, and valuation attributes. It is often chosen by teams that want raw, structured data to build their own models.
Why it matters
- Delivers wide parcel-level coverage useful for market-level analysis.
- Packages many data types together, reducing the need for multiple feeds.
- Supports bulk delivery, which suits data science and engineering teams.
- Includes valuation attributes alongside ownership and lien data.
How to use it / Key details
- Ingest bulk files or APIs to power internal valuation and screening tools.
- Join tax and transaction data to validate or adjust automated estimates.
- Filter by geography, property type, or equity to build target lists.
- The Basic Property API starts at $500/month, Premium Property is quote-based, and a free trial is available.
4. Zillow (Zestimate)
What it is
Zillow’s Zestimate is an automated home value estimate generated from public records, user-submitted data, and market signals. It is one of the most widely recognized consumer valuation figures for residential property. Zillow also publishes free research data, including home value and rent indices, and lists developer APIs for Zestimates and public records.
Why it matters
- Provides a familiar baseline value that many stakeholders already understand.
- Covers a large share of residential homes across the country.
- Reflects frequent updates as new listing and transaction data arrives.
- Useful as one input among several when triangulating a property’s value.
How to use it / Key details
- Use the estimate as a quick reference point, then verify with comps.
- Download Zillow Research data sets to study local home value and rent trends.
- Treat the figure as a starting estimate rather than an appraisal.
- Consumer estimates and research downloads are free, while API access terms vary by use case.
5. HouseCanary
What it is
HouseCanary is a valuation and forecasting platform built around residential automated values and market analytics. It produces property-level estimates, comparables, and three-year value forecasts. The platform serves investors, lenders, agents, and institutional buyers.
Why it matters
- Combines current valuations with forward-looking price forecasts.
- Lets users adjust property details to reflect current condition.
- Provides market-level analytics that support acquisition strategy.
- Serves single-family rental and portfolio use cases.
How to use it / Key details
- Run property valuations to support pricing and acquisition decisions.
- Use forecasts to model how a property’s value may change over the next three years.
- Screen markets and neighborhoods before committing to acquisitions.
- Self-serve plans are listed at $19/month (Basic), $79/month (Pro), and $199/month (Teams), with custom Enterprise pricing.
6. ICE (formerly Black Knight and Collateral Analytics)
What it is
ICE (Intercontinental Exchange) acquired Black Knight in 2023, and Black Knight had acquired Collateral Analytics in 2020. Their valuation products now sit within ICE Mortgage Technology. The lineup includes automated valuation models, a condition-adjusted digital valuation product, and home price data for residential assets.
Why it matters
- Brings deep mortgage and servicing context to valuation data.
- Offers a model selector that chooses among multiple ICE AVMs for each property.
- Supports collateral and risk analysis for lenders and investors.
- Integrates with broader loan and property data sets.
How to use it / Key details
- Apply automated values within underwriting and collateral review.
- Use Validate, which pairs computer vision and a condition-adjusted AVM with on-site photos, when condition matters.
- Use HomePriceTrends reports to benchmark local prices and market conditions.
- Pricing details aren’t published and appear to be enterprise-based.
7. Clear Capital
What it is
Clear Capital is a valuation technology provider that blends automated values with appraisal and inspection products. It focuses on residential properties and supports both lenders and investors. Its ClearAVM uses computer vision to add condition and quality signals to automated valuations.
Why it matters
- Links automated valuations with photo-derived condition data.
- Offers a range of valuation products, from AVMs and broker price opinions to desktop, hybrid, and traditional appraisals.
- Includes a confidence score with each automated valuation.
- Also offers a Rental AVM for estimated market rents.
How to use it / Key details
- Order automated values for speed, then escalate to inspections or appraisals when needed.
- Set a minimum confidence score so only qualifying valuations are returned.
- Select a valuation product that matches the risk of each decision.
- Clear Capital doesn’t publish prices for its valuation products, so a quote is required.
8. Quantarium
What it is
Quantarium is an analytics firm that applies computer vision and machine learning to residential property data. Its QVM automated valuation model factors in property quality, condition, and damage derived from imagery. The firm also provides property data and analytics to lenders and investors.
Why it matters
- Uses computer vision to capture property condition and features.
- Produces automated values intended to reflect current data signals.
- Offers property attributes that can enrich existing data sets.
- Supports valuation at scale across residential markets.
How to use it / Key details
- Integrate automated values into screening and valuation pipelines.
- Use imagery-derived condition data to adjust comparable selection.
- Combine attribute data with your own models for added precision.
- Our team couldn’t find public pricing, so it appears to be quote-based.
9. First American Data & Analytics
What it is
First American Data & Analytics, a division of First American Financial, draws on extensive title and public record holdings to support property valuation. It offers the Procision AVM suite, property characteristics, and ownership data across residential markets. In 2025, it added a Procision Rental AVM covering about 100 million residential properties.
Why it matters
- Backs valuations with large title and public record data assets, including more than 8.6 billion document images.
- Provides detailed ownership and lien information alongside values.
- Offers rent estimates with high/low ranges and confidence scores through its Rental AVM.
- Supports due diligence as well as valuation workflows.
How to use it / Key details
- Use automated values together with title data for fuller property profiles.
- Verify ownership and encumbrances during acquisition due diligence.
- Access data through DataTree, an API, or bulk data purchases.
- Pricing isn’t listed publicly and varies by engagement.
10. Veros
What it is
Veros Real Estate Solutions is a collateral valuation and enterprise risk management firm that has served the mortgage industry since 2001. Its VeroVALUE automated valuation model is used across lending, servicing, and investment. Veros also built VeroVISION, which scores property photos to produce a condition rating called the Veros Home Score.
Why it matters
- Provides an AVM designed for mortgage and collateral risk workflows.
- Adds photo-based condition scoring through VeroVISION, available as an add-on to VeroVALUE.
- Publishes research on AVM testing methodology.
- Serves lenders, servicers, investors, appraisers, insurers, and property managers.
How to use it / Key details
- Use VeroVALUE for automated values in origination, servicing, or portfolio review.
- Add VeroVISION when property condition could move the value.
- Use condition scores to flag properties that need closer review.
- We didn’t find published pricing on Veros’s site.
11. RentCast
What it is
RentCast is a property data platform and API offering automated home value and rent estimates for U.S. residential properties. Each estimate is based on the property’s characteristics and nearby comparable listings. The API also returns property records, sale history, active listings, and market trends.
Why it matters
- Provides both value and rent estimates in one place.
- Returns sale and rental comparables with distance from the subject property.
- Covers 150+ million property records nationwide.
- Offers a low-friction entry point for developers and smaller teams.
How to use it / Key details
- Call the value or rent estimate endpoints to screen deals or prefill underwriting models.
- Pull comparables to check an estimate against nearby listings.
- Combine property records and market trends with your own models.
- A free API plan includes up to 50 requests per month, and paid plans scale with request volume.
12. Redfin
What it is
Redfin is a brokerage-backed data source that publishes home value estimates and market data for residential property. It became part of Rocket Companies in 2025. Its estimate draws on listing and transaction data from the markets it covers, and its Data Center offers downloadable market data sets for analysts.
Why it matters
- Provides accessible home value estimates for many residential homes.
- Publishes market-level data useful for trend analysis.
- Reflects timely listing and transaction activity in covered areas.
- Offers downloadable data that supports independent research.
How to use it / Key details
- Use the estimate as one reference point when triangulating value.
- Download market data to study regional price and inventory trends.
- Compare its figures with other providers to understand variance.
- Consumer estimates and Data Center downloads are free to access.
FAQ
What makes a valuation data provider reliable for residential real estate? Reliability usually comes down to data coverage, model accuracy, and how often the data is refreshed. Providers that disclose confidence scores and support their values with transaction and condition data tend to be easier to trust. Testing a provider against known sales in your markets is a practical way to gauge accuracy.
Should I rely on a single valuation data provider? Most experienced users combine two or more providers to triangulate a property’s value. Different models weigh data differently, so comparing outputs helps you spot outliers and build more confidence. Using one source as a baseline and another as a check is a common approach.
How do automated valuation models differ from appraisals? Automated valuation models generate estimates quickly from data and statistical models, without a person visiting the property. Appraisals involve a licensed appraiser and typically account for condition in greater detail. Many providers now blend the two, using automated values for speed and inspections for accuracy when needed.
Which provider is right for a proptech founder building a product? Founders often prioritize providers with strong API access, bulk delivery, and broad coverage so they can integrate data at scale. The right fit depends on whether you need raw attributes, finished valuations, rent data, or forecasts. Evaluating documentation and data formats early can save significant engineering time.
Why do valuation estimates vary between providers? Each provider uses different data inputs, model designs, and update schedules, which leads to different outputs for the same home. Variance tends to be larger in markets with fewer recent sales or unusual property types. Comparing several estimates helps you understand the likely range of a property’s value.
