US Current Real Estate Market Values | National Automated Valuation Model (AVM) Data | 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
~$3,588/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
40
quality per $
Coverage
30
geo × freq × depth
Try-ability
15
ease of trial
Product Details
Use Cases
Portfolio ValuationProperty ValuationReal Estate AnalyticsMarket AnalyticsReal Estate Intelligence
Coverage
United States of America
Delivery
Snowflake ShareEmailS3 BucketSFTPFeed APIREST API
Detected Use Cases
real estate
Pricing Tiers
Vedex estimate
~$3,588/yr est.
SUBSCRIPTIONMEDIUM
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Get an instant price estimate based on your organization profile — seats, usage rights, and contract term.Estimated ~$3,588/yr est.
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Web Authority
Notable7 mentions·4 platforms
Academic Papers
3 × 8 pts+24
LinkedIn
2 × 2 pts+4
Reddit
1 × 3 pts+3
Blogs & Newsletters
1 × 2 pts+2
Evidence5 sources
Academic Papers
A Framework for AI-Augmented Real Estate Valuation in ...
by P Teikari · 2025 · Cited by 3 — Drawing on literature from real estate economics, information systems, and arti- ficial intelligence, we develop a three-layer theoretical.
Academic Papers
Innovations in Mortgage Markets and Increased Spending ...
Statistical models designed to estimate changes in collateral value, or automated valuation models (AVMs), have gained widespread use in the mortgage ...
Academic Papers
GREEN AI DRIVEN QUANTILE BOOSTING ...
High-quality data on real estate assets is emphasized for developing AI-based automated valuation models. (AVMs), along with the contribution of MLOps ...
Data Dictionary
Expected fields and columns in this data product
About US Current Real Estate Market Values | National Automated Valuation Model (AVM) Data | Home Sale Prices, Market Trends, and Geographic Data
US Current Real Estate Market Values | National Automated Valuation Model (AVM) Data | 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 $3,588/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 ...