enrich

Provide the CSV or XLSX file and specify which columns to fill. The Skill interviews you about each column's meaning, format, sources, and fallbacks, confirms an enrichment plan, then researches every row and writes results back to the same file with a backup.

Run the bundled verify_emails.py script with your CSV path and email column name. It requires the MILLIONVERIFIER_API_KEY environment variable, uploads emails to the bulk API, and adds an Email Status column with values like ok, catch_all, invalid, or disposable.

Enrichment follows a waterfall: existing file data first, then Apollo MCP for firmographic and contact data, then web search, company websites, and LinkedIn. It stops at the first source returning confident data and records every source URL in a Resources column.

Both CSV and XLSX files are accepted as input. Other formats must be exported to CSV or XLSX first. The enriched output is written back in the same format as the original file after a timestamped backup is created.

The interview and plan confirmation prevent wasted Apollo credits and token spend on misinterpreted columns. Columns like Pain Points can mean company-level or individual-level challenges, which require entirely different research approaches.

Each Apollo enrichment call costs one credit, so the Skill checks how many rows actually need Apollo data first and uses bulk enrichment for up to 10 domains per call. It confirms with you before spending more than 10 credits.