qualify-leads

To qualify leads in bulk from a CSV file, you provide the file to the qualification pipeline which validates the input, runs the multi-gate scoring process, and returns a result-set id for campaign launch.

A multi-gate lead qualification pipeline is an automated process that deduplicates lead lists, applies exclusion rules, matches company and role fit, and scores leads against ICP thresholds to produce per-lead pass or fail results.

Yes, you can score LinkedIn profile visitors and post engagers exports by running them through the qualification pipeline, which processes these formats alongside CSV, JSON, and Notion DB entries to generate scored lead result-sets.

You get a result-set id for launching campaigns by running the qualification CLI on your validated lead batches, which parses per-gate pass or fail counts and writes the final scored results into the local SQLite database.

Yes, lead qualification works with existing SQLite result-sets by accepting them as an input source, allowing you to re-evaluate previously stored leads through the multi-gate pipeline and update their ICP fit scores.

The lead qualification pipeline stops without sending outbound messages because it is designed strictly for local validation and scoring, writing per-lead results into SQLite without triggering any automated outreach or external notifications.