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Everyrow

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

Actions7

Data Operation → Merge

AI-generated

Summary

Merge two tables by matching rows using AI based on a user-provided matching description and optional merge keys.

Inputs

  • Session Name — Name for the Everyrow session to group operations, visible in the Everyrow dashboard. Defaults to 'n8n-everyrow-session'.
  • Task Description (required) — Text describing how to match rows between the input table (left) and the provided right lookup table.
  • Right Table (Lookup Data) (required) — JSON array of objects representing the lookup table to merge with.
  • Merge Key (Left Table) — Optional column name in the left input table to use for matching rows. If omitted, AI determines best matching keys.
  • Merge Key (Right Table) — Optional column name in the right lookup table to use for matching rows. If omitted, AI determines best matching keys.

Output shape

a single item containing metadata about the submitted merge task

The operation returns immediately with a task object including 'task_id', 'session_id', 'status', and 'operation'. The actual merge results can be retrieved later using a Task operation with the returned task_id.

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