Warm Query

A warm query is a named, saved query over your data. The moment you save it, it becomes two things at once: an API endpoint and an MCP tool - so people, dashboards, and any AI can all read the same answer.

That's what makes it a shared source of truth: instead of everyone (and every AI) writing their own version of "active users this week," you crystallize it once, and everyone builds from the same one. Get the answer right in one place, use it everywhere.

Warm queries are written in KQL; you can read and tweak what Azi proposes. They live inside a surface, and they compound - the more you crystallize, the more your team's shared intelligence grows.

Related

• The how-to -> Warm Queries
• Enough KQL to read them -> KQL Basics