Registry
A searchable, filterable catalog of every governed metric in your organization — with ownership, trust signals, and overlap detection. Discovery for humans and AI agents alike.
Request Early AccessThree churn definitions. Five revenue metrics. Nobody knows which is current, which is deprecated, or which was approved for the board.
New analysts create metrics that already exist because there is no authoritative index. The same logic is defined, debated, and approved multiple times across teams.
The metric registry gives every team and every AI agent a single place to find the canonical, governed definition for any business concept in the organization.
Browse all metrics by name, concept category, governance tier, owner, status, and version. Filter and sort to find exactly what you need.
Drill into any metric for the full definition, SQL logic, conversation audit trail, version history with diffs, related metrics, and governance information.
Fuzzy name matching and semantic comparison automatically surface metrics that might be duplicates or variants. Catch conflicts before they cause problems.
Find metrics by name, description, category, or intent. AI agents and human teams alike can discover the canonical definition for any business concept.
Every metric shows its owner, governance tier, approval status, validation date, and version at a glance. Know who to ask and whether to trust it.
Fuzzy name matching and semantic comparison surface potential duplicates before you create them. Prevents the metric sprawl that breaks AI agent trust.
Track how metrics relate: variant_of, replaces, conflicts_with. Understand the full landscape of definitions for any business concept.
Every metric carries its full version history with human-readable diffs. See what changed, who changed it, and why — across every iteration.
Join the companies building a trusted context layer for their AI agents and business teams.
Request Early Access