dbt Cloud
Data transformation platform — administer accounts, projects, jobs, environments, and users; trigger and poll job runs; and download run artifacts via the Administrative API v2.
Three ways to use dbt Cloud
Chat with Geni
Ask Geni to pull data, take actions, or answer questions using this integration in a conversation.
Build a workflow
Create automated workflows that trigger on events, run on a schedule, or chain multiple tools together.
Power an app
Use this integration as a data source or action layer behind a dashboard, form, or internal tool.
Supported tools
Actions your AI agents can perform with dbt Cloud.
Cancel Run
Cancel a run.
Create Environment
Create Environment
Create Job
Create a new job.
Create Notification
Create a new Job Notification configuration to trigger notifications for job successes, failures, or cancelations
Create Project
Create Project
Create Repository
Create Repository
Get started automating dbt Cloud
Ready-to-use workflows
Prompts using dbt Cloud
A searchable data catalog your business teams actually open
Every dbt model gets a page with a plain-English description, clickable lineage, and live freshness, so nobody has to ask what a table means.
Find the dbt models that are burning your warehouse budget
Rank every model by average build time across your last 20 production runs, see what each one costs, and let an agent read the code and tell you what to fix.
Let business teams refresh data without dbt Cloud seats
A simple screen where marketing and finance can see when each dataset last updated and hit Refresh now, with your data team looped in on Slack.
Only run Census syncs when your dbt models build cleanly
When a dbt build finishes, we check which models actually succeeded and sync only those tables to your CRM, so sales never sees half-built data.
Turn your dbt project into a plain-English data dictionary in Notion
Every Monday, your dbt models become readable definitions in Notion, so marketers and finance analysts can look up what a table means themselves.
Slack alerts for dbt Cloud job failures, with root cause
When a dbt Cloud job fails, get a plain-English Slack alert that explains which models and tests broke, the likely cause, and a link to the run.
Turn failed dbt Cloud tests into tracked Linear issues
Every hour we check your dbt Cloud runs for failed data tests and open a Linear issue for each broken model, complete with the error, a link to the run, and a suggested priority.
Run your dbt Cloud production job on every merge to main
Every time a pull request merges into main, we kick off your dbt Cloud production job so your warehouse always reflects the exact code that just shipped.