Cassis does context maintenance for analytics agents. Your business definitions live in a Git
repository you own. Real questions expose missing or wrong definitions, and Cassis proposes fixes
when there is enough evidence. Changes run against evals, and merging an approved pull request
publishes the context your agents read over MCP.
cassis-demo-stallora: ask a question on sample marketplace data, resolve a missing definition, and ship the fix through a tested pull request. Uses your own agent, with no connection to your data. Requires GitHub and Cassis accounts, Python and an MCP client. Use the GitHub template to create your repository.
Audit your dbt project
dbt-agent-readiness: find what an analytics agent will get wrong if you point it at your data today. Requires your dbt project, Python and a coding agent. No Cassis account or warehouse connection needed.
Build your first context
ontology-bootstrap: assemble a reviewable ontology from your existing assets. Evidence stays attached and unknowns become questions. Requires a dbt project, schema export, Python and a coding agent. No Cassis account needed; runs use model tokens and include human review checkpoints. See run requirements, or read the measured write-up.
Connect your own project
Talk to us to connect your own warehouse and get a Cassis project.
If you used the bootstrap kit, connect the ontology you just generated.
For the CI and MCP setup, use the demo template and replace its cassis/ tree with your own ontology.
Agent skills for authoring an ontology and for querying through MCP. In Claude Code, add the marketplace with /plugin marketplace add GetCassis/skills, then install the skills you need.
A curated list of write-ups from data teams building analytics agents: Anthropic, OpenAI, Ramp, GitHub, Gorgias and more, with reading notes organized by problem. Suggestions and corrections welcome.
Try the Cassis maintenance loop on sample marketplace data: resolve a missing definition, test the fix and publish it through a pull request from your own agent.
Skills to bootstrap and expand analytics ontologies from schema, dbt, dashboards and docs. Evidence-backed context, user-defined domains and reviewable Git changes.
Skills to bootstrap and expand analytics ontologies from schema, dbt, dashboards and docs. Evidence-backed context, user-defined domains and reviewable Git changes.
Try the Cassis maintenance loop on sample marketplace data: resolve a missing definition, test the fix and publish it through a pull request from your own agent.
Start a Cassis ontology on your own schema: CI gates, MCP config and the modeling guide, with none of the content. For the same loop on sample data, see cassis-demo-stallora.
This organization has no public members. You must be a member to see who’s a part of this organization.
Top languages
Loading…
Uh oh!
There was an error while loading. Please reload this page.
Most used topics
Loading…
Uh oh!
There was an error while loading. Please reload this page.
You are visitor 01402503 — GeezerVison does not store the pages you look up. Best viewed with Netscape Navigator 4.7 or Internet Explorer 6 at 800×600. No cookies required.