Data Infrastructure That Accelerates Proptech Innovation
Focus your engineering team on building differentiated features while we handle data operations, compliance, and infrastructure across all markets.
Data solutions for Proptech Innovation
Unified Data
Access
Access both MLS listing data (4M+ active listings) and property data (160M+ property records) through coordinated APIs. Pre-matched via Constellation ID (CID) for seamless integration between listing and property information.
Reduced Implementation Time
Most customers are production - ready within days rather than the typical 3 - 6 weeks timeline. Pre-built integrations and existing MLS relationships eliminate procurement delays.
Managed
Operations
Data ingestion, normalization to RESO standards, quality assurance, and compliance management are handled by our team. Your engineers focus on product development rather than data operations.
Consistent Data Model
Work with a normalized schema across all data sources. Property attributes, codes, and structures are standardized, reducing development complexity and improving reliability.
One Partner. Every Data Layer.
Work with a single team for MLS feeds, tax records, parcel data, addresses, geocoding, and ownership information instead of managing multiple vendors.
Data That Powers Proptech Applications
Comprehensive Data for Proptech Applications
MLS Listing Integration
- 4M+ residential, land, and rental listings
- Active, pending, sold, and historical status
- Complete property details and descriptions
- Photos, virtual tours, and media
- Listing and price history
- Agent, broker, and office information
- RESO-standardized across MLSs sources
- 5-minute refresh rate
Property Data
- 160M+ properties (99.9% U.S. coverage)
- Constellation ID (CID) for record matching
- Tax assessor records and assessed values
- Sale and transfer history
- Property characteristics and structure details
- Parcel boundaries and GIS data
- Ownership and occupancy information
- Mortgage and estimated equity
- Foreclosure data
- AVM/estimated values
Location intelligence
- 278M+ verified addresses (188M+ primary, 89M+ secondary)
- Rooftop-level geocoding with structure-point precision
- Address validation and standardization API
- 164M parcel polygons with property linkage
- Multi-source verification with confidence scoring
- Census block and neighborhood linkage
Results Brokerages Are Seeing
Faster Feature Development
Platforms report reducing feature development time by 40 – 60% when data infrastructure is handled externally, allowing teams to focus on core product.
Reduced
Operating Costs
Engineering resources can be reallocated from data maintenance to product development. Organizations typically see 30 – 40% reduction in data costs based on customer feedback.
Improved
Accuracy
Managed data operations with 99.9% uptime reduce customer – facing issues related to data availability and quality.
Scalable
Growth
Platforms can add new markets and data sets without proportional increases in engineering overhead or operational complexity.
Why PropTech Platforms choose Data labs
Solutions Architecture
Work with our technical team to design optimal integration patterns for your specific use case and architecture.
Implementation Support
Get hands - on assistance during integration development, testing, and production deployment.
Ongoing Technical Support
Access to technical support team for troubleshooting, optimization, and feature guidance.
Product Updates
Regular updates on new data sources, API enhancements, and platform improvements.
Getting Started with Constellation Data Labs
Step 1
Explore
Review API documentation, test endpoints in sandbox, and evaluate data coverage for your target markets.
Step 2
Design
Work with solutions architects to design integration approach that fits your technical requirements.
Step 3
Develop
Build your integration using sandbox environment with full data access for testing.
Step 4
Launch
Deploy to production with full support and monitoring.
Step 5
Scale
Add markets, features, and data sets as your platform grows.
