AWS Clean Rooms ML
Read list configured audience models, list audience models, list trained models from CleanRoomsML (SigV4).
OCNORA ships 4 typed AWS Clean Rooms ML operations. Each node has a schema-driven form, input and output tables beside its settings, and is pre-flighted by Workflow Health before your first real run.
Before you connect AWS Clean Rooms ML
- Authentication
- API key
- Credential
- {"access_key_id", "secret_access_key"}
- Connection test
- Available: the stored credential can be checked against the provider when you add it. This is not a record that a test was run or passed.
What you can do with AWS Clean Rooms ML
Operations, grouped by what they do to your data.
Other operations 1
A sample AWS Clean Rooms ML workflow
- 1A core triggerStart the run from a chat, form, manual, schedule, webhook, workflow trigger — no AWS Clean Rooms ML trigger is needed.
- 2List Audience Modelscleanroomsml.list_audience_modelsReturns a list of audience models.
- 3Write Actioncleanroomsml.callRun one of 28 write actions on CleanRoomsML.
An outline built from this provider’s node contracts, not a recorded run. Each step’s output fields are available to the next in the field picker.
Every node below has a reference page: what it does, the connection it needs, its config fields with types, constraints and examples, and the shapes it emits.
Operations 4
- Write ActionRun one of 28 write actions on CleanRoomsML.cleanroomsml.call
- List Audience ModelsReturns a list of audience models.cleanroomsml.list_audience_models
- List Configured Audience ModelsReturns a list of the configured audience models.cleanroomsml.list_configured_audience_models
- List Trained ModelsReturns a list of trained models.cleanroomsml.list_trained_models
AWS Clean Rooms ML questions
- How does OCNORA authenticate with AWS Clean Rooms ML?
- With a stored API key credential, shaped {"access_key_id", "secret_access_key"}. A connection test can check it when you add it.
- What can I automate with AWS Clean Rooms ML?
- 4 typed operations, each with a reference page listing its config fields and the shapes it emits.
- What if the AWS Clean Rooms ML operation I need is not listed?
- Where AWS Clean Rooms ML has an HTTP API, call it from the HTTP node with the same credential, or describe the step to the AI builder, which asks our team for a typed node when one is missing.
- Are there templates that use AWS Clean Rooms ML?
- Not yet. Start from a blank workflow, or describe the workflow to Build with AI.
- How are AWS Clean Rooms ML calls controlled?
- Every call and every run step is audited, runs count against the execution budget, and Workflow Health pre-flights the workflow when you save it.
See your first AWS Clean Rooms ML workflow run.
Book a technical demo. We add the connection, pick a template or describe the workflow to Build with AI, and Workflow Health checks it before it runs.