One org-wide catalog answers a lot of expensive questions — from "what breaks if I change this?" to "which services still depend on that database?"
Know the blast radius of a change before it ships — across code, shared columns, stored procedures, and event schemas — then run only the suites that reach it.
→ Impact analysisSee how services actually depend on each other across every repository — resolved into one graph you can traverse, not a repo at a time.
→ Cross-repo graphMap who exposes and who consumes each API and event across the org — REST, gRPC, GraphQL, MCP, SOAP, and ten broker families.
→ API surfaceScope a migration by seeing everything that touches the code, tables, and queues you're moving — before you move them.
→ Cross-repo graphYour assistant is bounded by the workspace it has open. An MCP server lets Claude Code, Cursor, and Copilot answer about repositories they have never opened, citing file and line.
→ Works in your editorStop running every integration and end-to-end suite because nobody can say which ones matter. Seed from what changed and walk the graph — across repositories, and honest about what it could not analyse.
→ Test impactA published XSD, WSDL, or proto compiled into several products couples them by name alone, with no code reference to follow. Trace a schema type to every line that touches it, in every repository.
→ Schema contractsA living map of your whole estate — dependency graphs and diagrams that stay current as code lands, with version history.
→ VisualizationBehind each of these is the same move: resolve everything into shared nodes, then walk the edges. A column change becomes the exact list of procedures and services it touches — across languages and repos.
Request access to the private beta and run it on your own repositories.