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.

1 APIs 6 Features
Clean RoomsData CollaborationPrivacyAnalyticsMarketing

APIs

Amazon Clean Rooms API

API for creating and managing secure collaboration workspaces, memberships, configured tables, analysis templates, and executing privacy-preserving protected queries and jobs.

MCP Servers

Features

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.

Use Cases

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

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.

Semantic Vocabularies

Amazon Clean Rooms Context

19 classes · 32 properties

JSON-LD

API Governance Rules

Amazon Clean Rooms API Rules

29 rules · 14 errors 13 warnings 2 info

SPECTRAL

JSON Structure

Clean Rooms Collaboration Structure

9 properties

JSON STRUCTURE

Clean Rooms Configured Table Structure

7 properties

JSON STRUCTURE

Clean Rooms Membership Structure

7 properties

JSON STRUCTURE

Clean Rooms Protected Query Structure

5 properties

JSON STRUCTURE

Example Payloads

Resources

🔗
TrustCenter
TrustCenter
🔗
VulnerabilityDisclosure
VulnerabilityDisclosure
🔗
DomainSecurity
DomainSecurity
🔑
Authentication
Authentication
🌐
Portal
Portal
🔗
Website
Website
🔗
Documentation
Documentation
📜
TermsOfService
TermsOfService
📜
PrivacyPolicy
PrivacyPolicy
💬
Support
Support
📰
Blog
Blog
👥
GitHubOrganization
GitHubOrganization
🌐
Console
Console
📝
SignUp
SignUp
🟢
StatusPage
StatusPage
👥
YouTube
YouTube
👥
StackOverflow
StackOverflow
🔗
Contact
Contact
🔗
Compliance
Compliance
🔗
SpectralRules
SpectralRules
🔗
Vocabulary
Vocabulary
🔗
Packages
Packages
🔗
WellKnown
WellKnown
🔗
SecurityTxt
SecurityTxt
🔗
LLMsTxt
LLMsTxt
🔗
Lifecycle
Lifecycle

Sources

Raw ↑
aid: amazon-clean-rooms
name: Amazon Clean Rooms
description: 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.
type: Index
image: https://kinlane-productions.s3.amazonaws.com/apis-json/apis-json-logo.jpg
tags:
- AWS
- Clean Rooms
- Data Collaboration
- Privacy
- Analytics
- Marketing
url: https://raw.githubusercontent.com/api-evangelist/amazon-clean-rooms/refs/heads/main/apis.yml
created: '2026-03-16'
modified: '2026-06-20'
specificationVersion: '0.19'
apis:
- name: Amazon Clean Rooms API
  description: API for creating and managing secure collaboration workspaces, memberships, configured tables, analysis templates,
    and executing privacy-preserving protected queries and jobs.
  image: https://a0.awsstatic.com/libra-css/images/logos/aws_logo_smile_1200x630.png
  humanURL: https://aws.amazon.com/clean-rooms/
  baseURL: https://cleanrooms.us-east-1.amazonaws.com
  tags:
  - AWS
  - Clean Rooms
  - Data Collaboration
  - Privacy
  - Analytics
  properties:
  - type: Documentation
    url: https://docs.aws.amazon.com/clean-rooms/latest/apireference/
  - type: OpenAPI
    url: openapi/amazon-clean-rooms-openapi.yml
  - type: GettingStarted
    url: https://aws.amazon.com/clean-rooms/getting-started/
  - type: Pricing
    url: https://aws.amazon.com/clean-rooms/pricing/
  - type: FAQ
    url: https://aws.amazon.com/clean-rooms/faqs/
  - type: APIReference
    url: https://docs.aws.amazon.com/clean-rooms/latest/apireference/
  - type: UserGuide
    url: https://docs.aws.amazon.com/clean-rooms/latest/userguide/
  - type: CLI
    url: https://docs.aws.amazon.com/cli/latest/reference/cleanrooms/
  - type: JSONSchema
    url: json-schema/clean-rooms-collaboration-schema.json
  - type: JSONSchema
    url: json-schema/clean-rooms-membership-schema.json
  - type: JSONSchema
    url: json-schema/clean-rooms-protected-query-schema.json
  - type: JSONSchema
    url: json-schema/clean-rooms-configured-table-schema.json
  - type: JSONLD
    url: json-ld/amazon-clean-rooms-context.jsonld
  - type: Example
    url: examples/clean-rooms-collaboration-example.json
  - type: Example
    url: examples/clean-rooms-membership-example.json
  - type: Example
    url: examples/clean-rooms-protected-query-example.json
  - type: Overlay
    url: overlays/amazon-clean-rooms-openapi-overlay.yaml
  - type: MCPServer
    url: mcp/amazon-clean-rooms-mcp.yml
  - type: Conformance
    url: conformance/amazon-clean-rooms-conformance.yml
  - type: ErrorCatalog
    url: errors/amazon-clean-rooms-problem-types.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
common:
- type: TrustCenter
  url: security/amazon-clean-rooms-trust-center.yml
- type: VulnerabilityDisclosure
  url: security/amazon-clean-rooms-vulnerability-disclosure.yml
- type: DomainSecurity
  url: security/amazon-clean-rooms-domain-security.yml
- type: Authentication
  url: authentication/amazon-clean-rooms-authentication.yml
- type: Portal
  url: https://aws.amazon.com/
- type: Website
  url: https://aws.amazon.com/clean-rooms/
- type: Documentation
  url: https://docs.aws.amazon.com/clean-rooms/
- type: TermsOfService
  url: https://aws.amazon.com/service-terms/
- type: PrivacyPolicy
  url: https://aws.amazon.com/privacy/
- type: Support
  url: https://aws.amazon.com/premiumsupport/
- type: Blog
  url: https://aws.amazon.com/blogs/big-data/
- type: GitHubOrganization
  url: https://github.com/aws
- type: Console
  url: https://console.aws.amazon.com/cleanrooms/
- type: SignUp
  url: https://signin.aws.amazon.com/signup?request_type=register
- type: StatusPage
  url: https://health.aws.amazon.com/health/status
- type: YouTube
  url: https://www.youtube.com/user/AmazonWebServices
- type: StackOverflow
  url: https://stackoverflow.com/questions/tagged/amazon-clean-rooms
- type: Contact
  url: https://aws.amazon.com/contact-us/
- type: Compliance
  url: https://aws.amazon.com/compliance/
- type: SpectralRules
  url: rules/amazon-clean-rooms-spectral-rules.yml
- type: Vocabulary
  url: vocabulary/amazon-clean-rooms-vocabulary.yaml
- type: Packages
  url: packages/amazon-clean-rooms-packages.yml
- type: WellKnown
  url: well-known/amazon-clean-rooms-well-known.yml
- type: SecurityTxt
  url: well-known/amazon-clean-rooms-security.txt
- type: LLMsTxt
  url: llms/amazon-clean-rooms-llms.txt
- type: Lifecycle
  url: lifecycle/amazon-clean-rooms-lifecycle.yml
- type: Features
  data:
  - name: Privacy-Preserving Analytics
    description: Analyze shared datasets without exposing underlying raw data using differential privacy and cryptographic
      computing.
  - name: Zero-ETL Integration
    description: Collaborate with Snowflake and AWS datasets without data movement or ETL pipelines.
  - name: Protected Queries
    description: Execute SQL, PySpark, or ML model queries on partner data with configurable privacy controls.
  - name: Flexible Analysis Methods
    description: Run analytics using SQL, PySpark, or custom ML models with granular access controls.
  - name: Analysis Logging
    description: Audit data usage with analysis logging to track all queries run within a collaboration.
  - name: Customer Record Matching
    description: Match customer records across applications and channels without sharing PII.
- type: UseCases
  data:
  - name: Marketing Measurement
    description: Measure campaign effectiveness by combining advertiser and publisher data in a privacy-safe environment.
  - name: Customer Insights
    description: Build comprehensive customer views by combining data from multiple channels and partners.
  - name: Collaborative Research
    description: Enable multi-company research and product development with secure data sharing.
  - name: Risk Assessment
    description: Analyze sensitive financial or health data across organizations for risk prediction without data exposure.
  - name: Audience Activation
    description: Create and activate privacy-safe audience segments across advertising platforms.
- type: Integrations
  data:
  - name: Amazon S3
    description: Store and retrieve collaboration data and query results in S3.
  - name: Snowflake
    description: Zero-ETL integration with Snowflake datasets for cross-platform collaboration.
  - name: AWS Glue
    description: Configure Glue tables as the underlying data source for Clean Rooms configured tables.
  - name: Amazon Athena
    description: Run analytics on collaboration results stored in S3 using Athena.
  - name: Amazon SageMaker
    description: Apply ML models within protected Clean Rooms jobs.
  - name: AWS IAM
    description: Control access to Clean Rooms resources with IAM policies.
  - name: AWS CloudTrail
    description: Audit all Clean Rooms API calls via CloudTrail.