Clean Data

Per-row cleanup on a GTM list before any match or enrich call. Profile, standardize, validate. Never destructive: raw input is preserved, invalid rows are tagged with reason codes rather than deleted. Out of scope: deduplication and canonical entity resolution.

Input

$ARGUMENTS is a path to a CSV, Excel, or JSON file. Parse the user message for optional sub-inputs:

• Schema hints if column names are ambiguous: which column is company name, domain, email, phone, country.
• Entity type: companies, contacts, or both. Default: infer from columns.
• Whether to run an MX-record check on email domains (slower, requires DNS). Default: off.
• Whether to produce a match-ready subset for downstream entity resolution. Default: no.

Example phrasings: