Key Quality Features
Full Coverage
Every person profile includes career history, contact information, and social profiles across 60+ data points. Every company profile includes firmographics, workforce analytics, and growth signals across 50+ data points.Quality Scoring
Data points receive quality scores (high, moderate, or low) that help you filter and prioritize data. See Quality Scoring for details.Data Freshness Tracking
Records include freshness indicators such aslast_seen dates and current flags on person contact data, helping you prioritize the most up-to-date information.
Email Validation
We’re working on validating deliverability for current professional (work) emails.emails[].validated indicates whether validation was performed, and emails[].validation_status (nullable) may be valid, invalid, risky, or catch_all.
Production-Ready Quality
Higher confidence in data accuracy means fewer wasted outreach attempts, better match rates, and reliable data for mission-critical operations across sales, marketing, recruiting, investment research, and data science use cases.Learn More
For detailed information on each quality feature:- Data Verification - How we verify data quality
- Quality Scoring - Understanding quality scores and how to use them
- Data Freshness - How freshness tracking works and how to use current flags
- Data Standardization - How data is normalized and standardized