US National Automated Valuation Model (AVM) Data | Current Property Market Values | Home Sale Prices, Market Trends, and Geographic Data
Our Automated Valuation Model (AVM) Data is a service that uses mathematical modeling to determine current market values. AVM data includes sales prices, property characteristics, market trends, and geographic information, to estimate real estate values with minimal human intervention.
API AccessLicense: Starts at; One-off purchase: Available; Monthly License: Available; Yearly License: Available; Usage-based: Available
Est. Price
~$10,000/yr est.
Update Frequency
Weekly
Pricing Tiers
1
Regions
1
Quality SignalsB
Freshness
Recently enriched
Complete
75%
API
API Available
Product Overview
Real Estate and Property Intelligence Platform$$
Offering: Comprehensive U.S. property, transaction, and ownership data including AVMs, building permits, and B2C/B2B contact enrichment delivered via API.
Best for: Real estate investors, mortgage lenders, and insurance underwriters requiring granular property-level risk and valuation data.
Benefits
- Extensive national coverage of 190M+ land parcels and 500M+ transaction records
- Deep integration of property characteristics with B2C/B2B contact data
- High-frequency weekly data updates for market-sensitive applications
- Specialized datasets including HOA records and building permits
- Flexible API delivery for seamless integration into underwriting workflows
Drawbacks
⚠ Geographic coverage limited exclusively to the United States · ⚠ Lack of international real estate market data for global portfolio analysis · ⚠ Pricing structure can become expensive when aggregating multiple specialized datasetsProduct Intelligence
Value Score
37
quality per $
Coverage
30
geo × freq × depth
Try-ability
0
ease of trial
Product Details
Use Cases
Portfolio ValuationProperty ValuationReal Estate AnalyticsMarket AnalyticsReal Estate Intelligence
Coverage
United States of America
Delivery
EmailS3 BucketSFTPFeed APIREST API
Detected Use Cases
real estate
Pricing Tiers
Vedex estimate
~$10,000/yr est.
SUBSCRIPTIONMEDIUM
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Get an instant price estimate based on your organization profile — seats, usage rights, and contract term.Estimated ~$10,000/yr est.
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Web Authority
High Authority17 mentions·4 platforms
Academic Papers
10 × 8 pts+80
LinkedIn
5 × 2 pts+10
Reddit
1 × 3 pts+3
Blogs & Newsletters
1 × 2 pts+2
Evidence5 sources
Academic Papers
Have Technological Advances in the Mortgage Market ...
One solution currently being explored is to replace human property appraisal processes with more objective, data-driven algorithms, i.e., Automated Valuation ...
Academic Papers
Decision tree and Boosting Techniques in Artificial ...
by TF Sing · 2020 · Cited by 3 — This paper develops an artificial intelligence based automated valuation model (AI-AVM) using the decision tree and the boosting techniques to predict ...
Academic Papers
Impact of Housing Demand Shocks on Home Appraisal ...
This paper analyzes the effects of the recent housing demand shock triggered by the shift to remote work during the COVID-19 pandemic on the ...
Data Dictionary
Expected fields and columns in this data product
About US National Automated Valuation Model (AVM) Data | Current Property Market Values | Home Sale Prices, Market Trends, and Geographic Data
US National Automated Valuation Model (AVM) Data | Current Property Market Values | Home Sale Prices, Market Trends, and Geographic Data is an alternative data product offered by The Warren Group, available on datarade. Data is updated weekly. API access is available for programmatic integration. Vedex estimates pricing at roughly $10,000/yr (an estimate, not a vendor-published price).
Our Automated Valuation Model (AVM) Data is a service that uses mathematical modeling to determine current market values. AVM data includes sales prices, property characteristics, market trends, and geographic information, to estimate real estate values with minimal human intervention.
About The Warren Group
The Warren Group is a data provider vendor based in USA. Explore The Warren Group’s robust collection of U.S. property data including Assessor Tax Data, Legal Descriptions, Zoning Uses, Geo-codes, Property Characteristics, House Size, Building Permits, Lot ...