CRMResolution

Duplicate Detection

Connect records that likely belong to the same person, even across different email addresses.

Start with 500 free creditsDocumentation

Email identity · 1,000 credits per lookup · no monthly fee

sara@work.com
sara.l@gmail.com
Same person — merge records

The problem

The same person exists in your CRM three times, work email, personal email, and the address from a conference badge scan. Three records, three owners, three conflicting histories, and a rep who calls someone their colleague closed last month.

With Encrata

Identity resolution maps each address to the person behind it, so records that share a human can be linked even when the strings don't match. Merge candidates surface with the evidence attached, same name, same company, same LinkedIn, instead of relying on fuzzy string matching alone.

How it works

1

Send the address

Call the identity endpoint with just an email address, no name, no company, nothing else required.

2

We resolve the person

Encrata matches the address against public profiles and returns name, role, company, location and social accounts.

3

Use the profile

Route, personalise, verify or investigate with a full picture of who is behind the address. Fields you ask for are the fields you get.

One call, structured answer

Duplicate Detection runs on the email identity lookup at 1,000 credits per lookup. Same API key, same JSON shape as every other Encrata lookup.

  • A match on 99.86% of addresses, near-zero dead lookups
  • Every field is labelled found or not found, so you never guess what to trust
  • Ask only for the fields you need with the fields parameter
  • One API call replaces minutes of manual research per contact
Terminal
curl -X POST "https://encrata.com/api/agent/email-identity" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"email": "jane@example.com"}'
response.json
{
  "email": "jane@example.com",
  "person": {
    "first_name": "Jane",
    "last_name": "Doe",
    "company": "Acme Inc",
    "job_role": "Head of Product",
    "city": "San Francisco",
    "socials": {
      "linkedin": "linkedin.com/in/janedoe"
    }
  },
  "credits": 1000
}

Cluster records by person

Run resolution across the database and cluster records that resolve to the same person, same name, same company, same social profiles across different addresses. Surface clusters as merge suggestions with the evidence attached rather than auto-merging; a human confirms in seconds when the proof is displayed, and false merges are expensive to unwind.

Your database, correctly counted

The immediate win is rep experience, no more three-way ownership disputes over one human. The structural win is measurement: dedup changes your contact counts, campaign reach and conversion denominators, usually revealing your database was 10–20% smaller than reported. Run detection continuously on new records to keep the problem from regrowing.

More email identity use cases

View all
j.chen@nova.ai

Jamie Chen

VP Sales · Nova AI

Lead Enrichment

Turn a bare email address into a prospect's name, title, company and social profiles automatically

SalesEnrichment

Demo request

m.okafor@finch.coIdentified
Head of Data · Finch · 200–500
Route to sales → priority

Form Identification

Identify who's behind demo and contact form submissions, so sales knows which leads to chase first

SaaSQualification
ana@vercel.com Vercel
raj@stripe.com Stripe
2 target accounts matched

Account Matching

Match individual users to their companies and map them against your target account list

EnterpriseMarketing
Start with 500 free credits
$curl https://encrata.com/api/agent/lookup -H "Authorization: Bearer YOUR_API_KEY" -d '{"e": "satya@microsoft.com"}'