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Everyrow

AI-powered data operations: rank, dedupe, merge, screen, and agent workflows

Actions7

Data Operation → Dedupe

AI-generated

Summary

Remove duplicate rows from input data based on an AI-determined equivalence relation that you describe. The operation uses the given equivalence relation text to identify and filter out duplicates.

Inputs

  • Session Name — Optional name for the Everyrow session (visible in the Everyrow dashboard). Defaults to 'n8n-everyrow-session'.
  • Equivalence Relation (required) — Text describing what makes two rows equivalent or duplicates. The AI uses this description to identify duplicates, e.g., 'Two entries are duplicates if they represent the same company, even if the name is slightly different'.

Output shape

A single record containing task_id, session_id, status, and operation fields indicating the submitted dedupe task. No immediate deduplication results are returned; the task_id can be used to query status and retrieve results later.

The operation returns immediately after submission with task metadata. Use the Task resource operations to get the status and final result of the deduplication task asynchronously.

Examples

Example 1: Remove duplicate companies from a list based on fuzzy matching of company names.

Set the Resource to 'Data Operation', Operation to 'Dedupe', provide a descriptive Equivalence Relation, and optionally set a session name.

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