ATTOM™ Nexus
Explore. Evaluate. Integrate.Enterprise Property Data Discovery & Analytics
ATTOM Nexus is a data discovery enterprise platform for exploring, evaluating and accessing large-scale property, neighborhood, geospatial and real estate analytics datasets.
Built for data scientists, product teams, real estate technology companies, lenders, insurers, investors and enterprise analytics teams, ATTOM Nexus enables organizations to discover nationwide property data coverage, review detailed metadata, analyze field-level schemas and integrate AI-ready property intelligence into cloud-based analytics environments.
The platform supports enterprise analytics, machine learning and AI-driven workflows through scalable access to nationwide property, neighborhood and geospatial datasets.
Explore Our Data
Access nationwide property, neighborhood, geospatial and real estate analytics datasets through a transparent, analytics-ready discovery experience.
ATTOM Nexus provides visibility into ATTOM’s extensive property data ecosystem, including:
- Property Characteristics
- Tax and Deed Data
- Mortgage and Foreclosure Data
- Neighborhood Boundaries
- Climate and Hazard Risk Datasets
- Market Trend Analytics
- Geospatial Property Intelligence
Dive deeper into each dataset with detailed metadata, schema transparency and geographic coverage insights.
- Data Dictionary
Access field-level definitions, update frequency, source details and refresh history for every dataset. - Coverage Reports
Visualize dataset availability nationwide down to the county level to evaluate geographic completeness and market coverage.
Resources & Enablement
Equip your team with the training, documentation and support resources needed to accelerate onboarding and maximize the value of ATTOM data.
- Product & Data Updates
Stay informed with real-time notifications about dataset enhancements, schema changes and newly available products. - Tutorials & Webinars
Access expert-led walkthroughs, onboarding sessions and educational resources designed to help teams understand datasets, workflows and delivery methods faster. - Delivery Documentation
Explore supported delivery formats and platforms, including Snowflake, S3 and flat-file integrations, with guidance for implementation and operational workflows.
Why ATTOM Nexus?
ATTOM Nexus enables organizations to:
- Explore nationwide property and neighborhood coverage
- Review field-level metadata and schema details
- Evaluate dataset fit before implementation
- Access cloud-native delivery options including Snowflake and S3
- Accelerate enterprise analytics and AI workflows
How Can You Use ATTOM Nexus?
Data Scientists & Engineers
Quickly identify schemas, match fields, and start using ATTOM
Product Managers
Evaluate product fit and understand delivery structure before integration
Data Analysts
Investigate coverage, completeness, and value by market or data type
Procurement/Tech Buyers
Confidently assess ATTOM’s fit for your enterprise stack and use case
FAQs
What data does ATTOM Nexus provide?
ATTOM Nexus provides access to nationwide property, tax, deed, mortgage, foreclosure, neighborhood, geospatial, climate risk and real estate analytics datasets.
Who uses ATTOM Nexus?
ATTOM Nexus is used by mortgage lenders, insurers, investors, real estate technology companies, analytics teams, data scientists and enterprise product teams.
How is ATTOM Nexus different from a traditional data catalog?
ATTOM Nexus combines property data discovery, metadata transparency, geographic coverage visualization and enterprise delivery flexibility in a single platform designed specifically for large-scale property intelligence workflows.
Does ATTOM Nexus support Snowflake?
Yes. ATTOM Nexus supports cloud-based delivery methods including Snowflake and S3 to simplify large-scale data integration and analytics workflows.
What types of analytics can organizations build with ATTOM Nexus?
Organizations use ATTOM Nexus for property analytics, portfolio analysis, underwriting, climate risk modeling, geospatial intelligence, investment research and AI-driven analytics.