Fill in missing fields, complete candidate records, or build better prospect lists with our real-time or cached people enrichment.
Send in a verified business email and we’ll return a complete profile including job title, skills, social links, and work history.
If all you have is a business email, use it to find out who the person is including details like their current employer, past roles, and education history.
Available datapoints
Name
Social media URLs
Location
Job title & current company
Current employment
Past employment
Job titles, descriptions, timelines
Employer details
Universities
Degrees
Fields of study
Durations
Posts
Engagement metrics
Reactor details
Popular use cases
Drop in a list of names and company names or profile URLs, and get back full profiles including title, detailed work history, education, certifications, and more.
Use partial enrichment to update only the fields you're missing like job title, graduation year, or skills while keeping your existing data intact.
Use real-time enrichment selectively for older or incomplete records or before sending out an email campaign to ensure you are acting on accurate data regarding the person.
| Feature | Crustdata | Coresignal | PDL (beta) |
|---|---|---|---|
| Real-time enrichment | ✅ Yes | ❌ No | ❌ No |
| Social post & engagement data | ✅ Yes | ❌ No | ✅ Yes |
| Job change webhooks | ✅ Yes | ❌ No | Unspecified |
| Person salary data | ❌ No | ❌ No | 30+ |
| Freshness | Realtime | Monthly | 6 hours (some datapoints), monthly (1 billion datapoints) |
| Feature | Real-time enrichment | Database enrichment |
|---|---|---|
| Data freshness | Pulled live from the web at request | Cached, updated monthly |
| Latency | Up to ~30 seconds per profile | Under ~10 seconds; may take up to 24h if not yet cached |
| Credits | 5 credits per profile | 1 credit per profile |
| Use when | You need the latest updates for use cases like verifying job changes or sending outbound campaigns | You need fast, large-volume enrichment at scale for use cases like updating CRMs or large candidate databases |
