Customer DataStable2 steps

Dedupe Contact List

Normalize contact fields, then collapse near-duplicate people (same name/company/email) into a single record so a list can be imported cleanly.

How it works

Pipeline

Normalize identity fields, then drop near-duplicates keeping the first of each group.

  1. Normalize
    • Standardize "name" into a consistent string format.
    • Standardize "email" into a consistent email format.
    • Standardize "company" into a consistent company format.
  2. Deduplicate
    • Collapse records that match on name, email, and company, keeping the first of each group.

Frequently asked

FAQ
Is this recipe ready to run?
Yes. This recipe is stable — every step maps to a shipped capability, so it runs and returns structured records today.
Can I customize the steps?
Yes. A recipe is a starting configuration. Install it into a project and you can add, remove, or reorder steps to match your own data.
What does it cost to run?
Recipes run on the same usage-based pricing as every capability. Start free with 1,000 usage units a month across everything — no credit card required.
How do I run it?
Install the recipe into a project from your dashboard to get a saved pipeline, then call it over the REST API, an SDK, or MCP — one request in, clean records out.
dedupe-contact-list · 2 steps · Stable

Run this recipe on your own data

Start free with 1,000 usage units a month across every capability — no credit card. Install the recipe, adjust the steps, and call it in one request.

Canonicalize and de-duplicate the people records your product depends on.