Amazon Clean Rooms
Amazon Clean Rooms enables organizations to collaborate and analyze shared datasets without exposing underlying raw data to partners. Create secure data clean rooms in minutes and collaborate with any company while maintaining data privacy through differential privacy, cryptographic computing, and flexible analytics.
Amazon Clean Rooms publishes 4 APIs on the APIs.io network, including Collaborations API, Configured Tables API, Memberships API, and 1 more. Tagged areas include Clean Rooms, Data Collaboration, Privacy, Analytics, and Marketing.
The Amazon Clean Rooms catalog on APIs.io includes 1 event-driven AsyncAPI specification, 1 JSON-LD context, and 2 Spectral governance rulesets.
Amazon Clean Rooms’ developer surface includes authentication, developer portal, documentation, support, engineering blog, developer console, signup flow, and 41 more developer resources.
Kin Score
APIs 4
Individual APIs this provider publishes, each with its own machine-readable definition.
Amazon Clean Rooms Collaborations API
Operations for managing Clean Rooms collaborations
Amazon Clean Rooms Configured Tables API
Operations for managing configured tables
Amazon Clean Rooms Memberships API
Operations for managing collaboration memberships
Amazon Clean Rooms Protected Queries API
Operations for executing and managing protected queries
Postman Collections 4
Ready-to-run Postman collections for exercising this provider's APIs.
Open Collections 5
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
API Collection
OPEN COLLECTIONAmazon Clean Rooms Collaborations API
OPEN COLLECTIONAmazon Clean Rooms Collaborations Configured Tables API
OPEN COLLECTIONAmazon Clean Rooms Collaborations Memberships API
OPEN COLLECTIONAmazon Clean Rooms Collaborations Protected Queries API
OPEN COLLECTIONMCP Servers 1
Model Context Protocol servers that expose these APIs to AI agents.
Amazon Clean Rooms MCP Server
MCP SERVERPricing Plans 1
Published pricing tiers and plan structures.
Rate Limits 1
Documented rate limits and quota policies.
Amazon Clean Rooms Rate Limits
RATE LIMITSFeatures 6
Notable capabilities this provider offers.
Privacy-Preserving Analytics
Analyze shared datasets without exposing underlying raw data using differential privacy and cryptographic computing.
Zero-ETL Integration
Collaborate with Snowflake and AWS datasets without data movement or ETL pipelines.
Protected Queries
Execute SQL, PySpark, or ML model queries on partner data with configurable privacy controls.
Flexible Analysis Methods
Run analytics using SQL, PySpark, or custom ML models with granular access controls.
Analysis Logging
Audit data usage with analysis logging to track all queries run within a collaboration.
Customer Record Matching
Match customer records across applications and channels without sharing PII.
Event Specifications 1
AsyncAPI definitions for this provider's event-driven and streaming APIs.
Amazon Clean Rooms Events
ASYNCAPISemantic Vocabularies 1
JSON-LD contexts and semantic vocabularies used across these APIs.
Amazon Clean Rooms Context
JSON-LDSpectral Rules 2
Spectral governance rulesets for linting and validating these APIs.
Amazon Clean Rooms API Rules
SPECTRALAmazon Clean Rooms API Rules
SPECTRALJSON Schema 17
Standalone JSON Schema definitions for this provider's data models.
Collaboration
JSON SCHEMAConfiguredTable
JSON SCHEMACreateCollaborationRequest
JSON SCHEMACreateCollaborationResponse
JSON SCHEMACreateConfiguredTableRequest
JSON SCHEMACreateConfiguredTableResponse
JSON SCHEMACreateMembershipRequest
JSON SCHEMACreateMembershipResponse
JSON SCHEMAGetCollaborationResponse
JSON SCHEMAListCollaborationsResponse
JSON SCHEMAListConfiguredTablesResponse
JSON SCHEMAListMembershipsResponse
JSON SCHEMAListProtectedQueriesResponse
JSON SCHEMAMembership
JSON SCHEMAProtectedQuery
JSON SCHEMAStartProtectedQueryRequest
JSON SCHEMAStartProtectedQueryResponse
JSON SCHEMAScroll for all 17
JSON Structure 17
JSON Structure definitions describing this provider's data shapes.
Clean Rooms Collaboration Structure
JSON STRUCTUREClean Rooms Configured Table Structure
JSON STRUCTUREClean Rooms Create Collaboration Request Structure
JSON STRUCTUREClean Rooms Create Collaboration Response Structure
JSON STRUCTUREClean Rooms Create Configured Table Request Structure
JSON STRUCTUREClean Rooms Create Configured Table Response Structure
JSON STRUCTUREClean Rooms Create Membership Request Structure
JSON STRUCTUREClean Rooms Create Membership Response Structure
JSON STRUCTUREClean Rooms Get Collaboration Response Structure
JSON STRUCTUREClean Rooms List Collaborations Response Structure
JSON STRUCTUREClean Rooms List Configured Tables Response Structure
JSON STRUCTUREClean Rooms List Memberships Response Structure
JSON STRUCTUREClean Rooms List Protected Queries Response Structure
JSON STRUCTUREClean Rooms Membership Structure
JSON STRUCTUREClean Rooms Protected Query Structure
JSON STRUCTUREClean Rooms Start Protected Query Request Structure
JSON STRUCTUREClean Rooms Start Protected Query Response Structure
JSON STRUCTUREScroll for all 17
Examples 17
Example request and response payloads for these APIs.
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Security Posture 4
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
Recommended x-agentic-access execution contracts for AI agents.
Use Cases 5
What developers build with this provider.
Marketing Measurement
Measure campaign effectiveness by combining advertiser and publisher data in a privacy-safe environment.
Customer Insights
Build comprehensive customer views by combining data from multiple channels and partners.
Collaborative Research
Enable multi-company research and product development with secure data sharing.
Risk Assessment
Analyze sensitive financial or health data across organizations for risk prediction without data exposure.
Audience Activation
Create and activate privacy-safe audience segments across advertising platforms.
Integrations 7
Pre-built integrations with other platforms and tools.
Amazon S3
Store and retrieve collaboration data and query results in S3.
Snowflake
Zero-ETL integration with Snowflake datasets for cross-platform collaboration.
AWS Glue
Configure Glue tables as the underlying data source for Clean Rooms configured tables.
Amazon Athena
Run analytics on collaboration results stored in S3 using Athena.
Amazon SageMaker
Apply ML models within protected Clean Rooms jobs.
AWS IAM
Control access to Clean Rooms resources with IAM policies.
AWS CloudTrail
Audit all Clean Rooms API calls via CloudTrail.
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Resources
Get Started 5
Portal, sign-up, and the first successful call
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 5
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 8
Pagination, idempotency, versioning, errors, and events
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Build 6
SDKs, sample code, and the tooling you integrate with
Access & Security 7
Authentication, authorization, and security posture
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Learn 1
Tutorials, courses, talks, and written guidance
Operate 7
Status, limits, changes, and where to get help
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Commercial 4
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API
Other 1
Properties that don't map to a standard resource type
Source (apis.yml)
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