Diagnose user segment membership and trace data lineage with FilterQL.
npx skills add https://github.com/lytics/agent-skills --skill profile-investigator
Please help me install this Agent Skill. Skill: profile-investigator Source: https://github.com/lytics/agent-skills/tree/main/profile-investigator Command: npx skills add https://github.com/lytics/agent-skills --skill profile-investigator
Diagnose why a user is or isn't in a segment and trace their data lineage, enabling precise debugging of membership and data provenance.
Explain why [email protected] is in a segment and reveal data lineage.
High-intent search queries and answers about installing and using this skill.
To diagnose why a user is not in a segment, evaluate their profile data against segment rules using FilterQL. This tool analyzes profile attributes to reveal exactly why segment membership fails.
Trace data lineage by retrieving user profile snapshots that show data origins across fragments. This provides structured reporting on data provenance for auditing and debugging.
FilterQL is a query language used to evaluate profile data against segment rules. It enables diagnostic exploration by applying rule-based filters to determine user membership status.
Yes, you can retrieve a full profile snapshot containing memberships and key attributes. This provides a quick auditing view of a user's current data and segment status.
Yes, the tool supports API lookups to resolve identity-based questions. It analyzes profile data against segment rules for a specific user to determine their membership status.
The best way to debug data provenance is to retrieve data lineage showing origins across profile fragments. This structured reporting traces exactly where and how user data originated.
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