Batch data enrichment pipeline

Enrich a CSV or warehouse table of identifiers at scale.

Start with 500 free credits

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

Use-case advisor

Advisor ready

Ask how batch data enrichment pipeline should work for your exact product, data and team.

What this use case means

A batch pipeline runs bulk enrichment over a list or table of emails, domains or companies and writes the structured results back to your warehouse.

When to use it

Use it when you have thousands of records that need consistent, structured enrichment.
Manual review is slow because the useful signals live across Email, Company and related sources.
Your team needs structured JSON that can feed a CRM, risk queue, SOC case, support tool, warehouse or AI agent.

How Encrata powers it

Capture the identifier

Export the identifiers to enrich from your source.

Run the lookup stack

Run bulk enrichment with the fields you need.

Score the result

Handle cached rows for free and only pay for fresh lookups.

Send it downstream

Load the structured output back into your warehouse.

Implementation shape

Example payloadPOST /api/agent/lookup

{
  "use_case": "data-enrichment-pipeline",
  "input": {
    "email": "example_email",
    "company": "example_company"
  },
  "fields_to_watch": [
    "email validity",
    "full name",
    "role",
    "legal name",
    "website",
    "headquarters"
  ],
  "action": "enrich or skip"
}