June 2026 LiveRamp Clean Room Release Notes
This release introduces several API and automation enhancements, stronger template and onboarding controls, new limited-release validation and notification capabilities, and additional usability improvements across the Clean Room experience.
Product Updates – General Availability
Python API Client
Clean Room now offers a Python API client that makes it easier for developers to build on top of core Clean Room workflows programmatically.
Easier workflow automation: Developers can create questions and flows, assign datasets, and trigger runs in Python with just a few lines of code.
Lower barrier to entry: This makes Clean Room easier to integrate into existing pipelines and automation frameworks.
More developer-friendly platform access: The new toolkit expands how technical users can operationalize Clean Room capabilities.
This is a significant step toward making Clean Room more accessible for programmatic use cases and custom integrations.
For more information, see "Clean Room API", "Python Tutorial for Creating and Running Questions", and “Comprehensive Python SDK for LiveRamp Clean Room operations”.
Configure Exports via API
Clean Room now includes additional external API support for configuring and managing exports.
Destination management APIs: Users can retrieve, create, and delete destinations and destination-partner configurations through the API.
Export job controls: Users can pause and delete export jobs through the API.
More end-to-end automation: These endpoints extend existing export APIs so more export workflows can be managed programmatically.
This expands automation options for teams that manage exports through external systems and pipelines.
For more information, see "Clean Room API".
Configure Flow Node Export Jobs via API
Clean Room now supports configuring export jobs on flow nodes through the external API.
Bulk export job management: Users can bulk create, bulk delete, and bulk update export jobs for one or more nodes.
Export visibility: Users can list export jobs across specified nodes and retrieve full run history for node-level export jobs.
More automation for flow-based workflows: This brings API-driven management to flow-node exports as well.
This makes it easier to operationalize export-heavy flow workflows at scale.
For more information, see "Bulk Create Flow Node Export Jobs", "Bulk Update Flow Node Export Job Status", and the "Clean Room API Changelog".
Decouple From Template When Adding Template Items to a Clean Room
Clean Room now extends the “Decouple From Template” option to the “Add to Existing Clean Room” workflow.
More flexible reuse of templated assets: Questions and flows added from a template to an existing clean room can now be decoupled at the time of addition.
Safer clean-room-specific edits: Changes made in the destination clean room no longer sync back to the source template when decoupling is selected.
Forward-looking behavior: This option applies on a go-forward basis; previously added assets remain coupled.
This helps customers use templates as starting points without risking accidental changes to the source template.
For more information, see "Add a Template's Items to an Existing Clean Room".
Product Updates – Limited Release
Expanded Protection in Question Builder
Question Builder now performs broader validation based on identifier types and Analysis Rules for datasets.
Identifier-aware validation: Question Builder now considers PII, Ramp ID, and Known ID during validation.
Analysis Rule checks earlier in the workflow: Users are alerted when a query would fail Analysis Rules for identified datasets.
Stricter incompatible-dataset protection: Unsupported combinations, such as using a Ramp ID dataset with a PII dataset in the same query, are blocked earlier.
This helps catch questions that would fail at runtime earlier in the authoring process and improves the overall user experience.
Clean Room Intelligence MCP
Clean Room now offers an MCP-based AI interface for Intelligence in limited release.
Natural-language access to Intelligence data: Users can query synced Intelligence data, including question and flow runs, using natural language.
Faster path to insights: This can help users reach insights and follow-up questions more efficiently.
Cross-MCP workflows: The MCP can work alongside other LiveRamp MCPs to support broader insight-to-activation workflows.
This opens a new AI-assisted way to explore Clean Room Intelligence data for supported users. Contact your LiveRamp representative to see if this solution is a good fit for your use case.
Additional Connect Notifications for Clean Room Events
Clean Room now adds more email and Connect notification types for important clean room events in limited release.
Invitation-related notifications: Clean Room invitations are now integrated with the Connect notification system.
Workflow milestone alerts: Notifications can be sent for events such as pending dataset assignment tasks or new partner-provisioned datasets.
Better operational continuity: These alerts help keep work moving without requiring users to log in and manually check status.
This helps reduce delays in collaborative workflows by surfacing key actions and milestones proactively.
For more information, see "Viewing and Managing Notifications".
Quick Hits And Fixes
Flow cloning performance: Flow cloning performance has been improved, with related benefits for template cloning when flows are included.
Better flow-run debugging tools: The Flow Runs page now includes a search field for quicker browsing of node lists and a “View Node Output” action from error messages to surface the node that caused the error.