Data for AI
Give your AI the B2B context it's missing
AI products depend on accurate entities and rich context. Retrieve structured people, company, jobs, and activity data so your models and agents produce better outputs with less hallucination.
- Structured context for RAG, agents, and personalization.
- Entity resolution to link users, leads, and companies accurately.
- Freshness control with cache metadata.
- Bulk or real-time delivery to fit training and inference workflows.
{
"success": true,
"data": {
"id": "prs_01jf3k7r2mz9w4q6c8t1b5x0ny",
"firstName": "Jordan",
"lastName": "Thomson",
"headline": "CEO of Pellico",
"currentPosition": {
"title": "CEO",
"companyName": "Pellico",
"startEndDate": {
"start": "2021-06-01T00:00:00.000Z",
"end": null
}
},
"location": {
"city": "Paris",
"country": "France",
"countryCode": "FR"
},
"skills": [ 9 items ▸ ],
"languages": [ 2 items ▸ ]
},
"error": null,
"metadata": {
"requestId": "3f1c2a9e-7b4d-4e21-9a0f-2c6d8e1b5a47",
"executionTimeMs": 2340,
"updatedAt": "2025-01-15T09:30:00.000Z"
}
}Benefits
High-signal B2B context for AI that must be right
Feed agents and models structured, fresh, and linkable entities, reducing hallucinations and preventing "wrong person / wrong company" failures.
Higher-signal context, fewer hallucinations
Give the model structured fields instead of scraped text blobs. Improve precision for company and person understanding.
Entity linking you can trust
Resolve identities from partial inputs and keep relationships consistent. Avoid "wrong person / wrong company" failures.
Flexible delivery for training & inference
Use datasets for training and backfills. Use API/webhooks for live inference and agent calls.
| Reverse Contact vs Market options | Static Data Dump | Cached API | Manual Scraping | Reverse Contact |
|---|---|---|---|---|
| Freshness Control (Live vs Cached) | No | No | Yes | Yes |
| Searchable Database (Filters + Export) | Yes | Limited | No | Yes |
| Last-Updated Metadata per Entity | Limited | No | No | Yes |
| Confidence-First Matching | No | Limited | No | Yes |
| Realtime Triggers + Async Webhooks | No | No | No | Yes |
| Batch Backfill & Re-Enrichment | No | Limited | No | Yes |
| Product-Ready Schema (Clean, Structured Output) | No | Limited | No | Yes |
| Enterprise-Grade Compliance (GDPR-Ready) | No | Limited | No | Yes |
| High-Throughput Production Rate Limits | Yes | Limited | No | Yes |
| Dedicated Support + SLA Options | No | Limited | No | Yes |
| Coverage Transparency | No | Limited | No | Yes |
| Failure Handling & Retry Logic | No | Limited | No | Yes |
Use cases
How teams put this data to work
RAG context layer
Inject structured company and person facts into retrieval. Reduce ambiguity and increase answer reliability.
Agent tool calls
Let agents fetch or resolve entities on demand. Keep outputs consistent across actions and sessions.
Personalization & targeting
Generate outputs tailored to role, industry, and company context. Improve relevance without manual feature engineering.
Training datasets & backfills
Create consistent, structured corpuses for training and evaluation. Refresh monthly to keep models aligned with reality.
Entity disambiguation
Resolve similar names and ambiguous companies safely. Prefer null over confident mistakes in high-stakes flows.
Operational safety & provenance
Keep last-updated and sourcing transparency attached to outputs. Make compliance and review easier at scale.
Testimonials
Trusted by data-driven teams
Rated 4.6 out of 5from 107 reviews on G2“Our data team built an internal ops product with Reverse Contact. It improved identity resolution across systems and provided a reliable people & company layer.”
Ethan CarterData Team, Gitpod“We use Reverse Contact as a trusted data provider for our product inside our RevOps workflows. It helps our customers unify CRM records and enrich missing context...”
David BrombergCEO, Lantern“Reverse Contact provided a reliable identity resolution layer for our product. The API is straightforward, outputs are consistent, and match quality is strong.”
Lucas PerretHead of Product, lemlistCompliance
Compliance-by-design. Built to be defensible.
Reverse Contact is designed to support GDPR/CCPA-aligned data practices. We maintain clear sourcing principles, respect data subject rights, and prioritize accuracy over guesswork.
- GDPR
- CCPA
FAQ
Frequently Asked Questions
Can't find the answers to your questions? Reach out to us by clicking here.
What counts as B2B people data?
Structured professional information about individuals in a work context: name, current title, company, work history, education, skills, seniority, industry, and location. Reverse Contact returns all of these through the people data API in a single verified profile.
Which fields does your people data API return?
Identity, professional history, education, skills, languages, location, industry, seniority, social signals, and metadata like last-updated timestamps and confidence scores. Full schema in the Documentation.
How do you handle uncertain matches?
We return null instead of a best guess. Every response includes a confidence score so your product decides what to do with borderline matches. You can also raise the precision threshold in your request.
How fresh is the data?
Retrieve profiles live on demand for maximum freshness, or pull from our database for lower latency. Every response includes a last-updated timestamp.
How is this different from a reverse email lookup tool?
Lookup tools return a name and maybe a title. Our people data API returns a full structured B2B profile per person: identity, professional history, education, skills, location, and more, built to be embedded in products and workflows.
Is Reverse Contact compliant with GDPR and CCPA?
Yes. Compliance is built into how we collect and process data. Full documentation in the Trust Center.
The data layer behind your GTM engine
Access fresh people and company data through one API and power every enrichment, prospecting, and automation workflow.
- Profiles
- 1B+
- Refreshes / month
- 200M
- Response time (P95)
- 500ms