Amazon Data Exchange
AWS Data Exchange makes it easy to find, subscribe to, and use third-party data in the cloud. Qualified data providers can publish data products consisting of data sets with versioned revisions and assets including S3 snapshots, Redshift data shares, API Gateway APIs, and Lake Formation permissions. Subscribers can find and subscribe to data products directly in the AWS Management Console and use the Data Exchange API to load data into Amazon S3 for analysis with AWS analytics and machine learning services.
Reference-quality API operations across every facet — a rich contract, published governance, transparent operations, and machine-readable commercial terms.
API Evangelist profiles Amazon Data Exchange the way a machine reads it — 111 machine-readable artifacts across 6 APIs, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Amazon Data Exchange scores 72.5/100 (exemplar), with a separate agent-readiness read of 48/100 (agent ready). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.
Kin Score
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile Amazon Data Exchange
Each block below is one kind of artifact we hold for Amazon Data Exchange. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
APIs 6
Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.
Individual APIs this provider publishes, each with its own machine-readable definition.
Amazon Data Exchange Assets API
Operations for managing data assets within revisions
Amazon Data Exchange Data Sets API
Operations for managing data sets
Amazon Data Exchange Event Actions API
Operations for managing event-driven actions
Amazon Data Exchange Jobs API
Operations for import/export jobs
Amazon Data Exchange Revisions API
Operations for managing data set revisions
Amazon Data Exchange Tags API
Operations for managing resource tags
Postman Collections 1
A runnable collection turns the contract into something a developer can execute in seconds. We profile them because the fastest way to trust an API is to make a real call against it.
Ready-to-run Postman collections for exercising this provider's APIs.
AWS Data Exchange API
POSTMANOpen Collections 1
Open, tool-agnostic collections carry the same runnable value as Postman without locking you to one client — the portable, forkable form of the same exercise.
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
AWS Data Exchange API
OPEN COLLECTIONArazzo Workflows 14
Real integrations are rarely a single call. Arazzo describes the multi-step sequences — auth, then create, then confirm — so both a human and an agent can follow the choreography, not just the endpoints.
Multi-step API workflows described with the Arazzo specification.
Amazon Data Exchange Auto Export On Publish
Register a RevisionPublished event action, then create and finalize a revision to trigger it.
ARAZZOAmazon Data Exchange Browse Data Set Revisions
List owned data sets, inspect the first one, and list its revisions.
ARAZZOAmazon Data Exchange Cancel Running Job
Find an in-flight job for a data set and cancel it if it is still running.
ARAZZOAmazon Data Exchange Delete Draft Revision
Find a revision, confirm it is not finalized, and delete it as a draft.
ARAZZOAmazon Data Exchange Export Entitled Data
Discover an entitled data set, pick its latest revision, and export it to S3.
ARAZZOAmazon Data Exchange Export Revision To S3
Export all assets of a revision to an S3 bucket by creating, starting, and polling a job.
ARAZZOAmazon Data Exchange Import Asset From Signed URL
Open a revision, import a single asset from a signed URL, wait, and list the result.
ARAZZOAmazon Data Exchange Inspect Revision Assets
List the assets in a revision and fetch the details of the first asset.
ARAZZOAmazon Data Exchange Publish Data Set
Create a data set, add a revision, import assets from S3, and finalize it for publishing.
ARAZZOAmazon Data Exchange Rename Revision Asset
Locate an asset in a revision and rename it to a new asset name.
ARAZZOAmazon Data Exchange Tag New Data Set
Create a data set, apply governance tags to it, and read the tags back.
ARAZZOAmazon Data Exchange Untag Resource
Read a resource's tags and remove a chosen set of tag keys from it.
ARAZZOAmazon Data Exchange Update Data Set Metadata
Read a data set, update its name and description, and verify the change.
ARAZZOAmazon Data Exchange Update Event Action Destination
Find an existing event action, repoint its export destination, and verify the change.
ARAZZOScroll within the panel for all 14 ·
Pricing Plans 1
Pricing is part of the interface. Machine-readable plans tell you what a tier costs and includes before you commit — one of the six things the Kin Score reads for commercial clarity.
Published pricing tiers and plan structures.
Rate Limits 1
Rate limits are the difference between a demo that works and a production integration that doesn't fall over. Publishing them is an operational-transparency signal — and a hard requirement for any agent that plans its own throughput.
Documented rate limits and quota policies.
Amazon Data Exchange Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals let a buyer model the financial operations of an API before it's live. We profile them for the same reason we profile pricing: the money is part of the contract.
Cost, billing, and metering signals for API financial operations.
Features 7
The notable capabilities this provider advertises, captured as structured features so they can be searched and compared instead of read one landing page at a time.
Notable capabilities this provider offers.
Data Set Management
Create, update, and manage data sets containing versioned collections of data available for subscription and distribution in the marketplace.
Revision Publishing
Organize data into versioned revisions with comments, then finalize and publish them to make data available to subscribers automatically.
Multi-Format Asset Support
Support for S3 snapshots, Redshift data shares, API Gateway APIs, Lake Formation permissions, and S3 data access as asset types.
Import and Export Jobs
Asynchronous import/export jobs for transferring data between external sources (S3, Redshift) and Data Exchange revisions at scale.
Event-Driven Delivery
Configurable event actions that automatically export revision data to S3 when a new revision is published, eliminating manual downloads.
AWS Marketplace Integration
Seamlessly list and sell data products in AWS Marketplace with built-in billing, subscription management, and entitlement enforcement.
Fine-Grained Access Control
Control access to data products using AWS IAM policies and resource- level permissions with ARN-based resource identification.
Scroll within the panel for all 7 ·
Semantic Vocabularies 1
JSON-LD contexts give the data shared meaning across APIs. We profile them because semantics are what let a machine reconcile 'customer' here with 'customer' somewhere else.
JSON-LD contexts and semantic vocabularies used across these APIs.
Amazon Data Exchange Context
JSON-LDSpectral Rules 2
Governance rulesets we run against this provider's specs — the automated checks behind parts of the score. Profiling them makes the quality bar explicit and re-runnable, not a matter of opinion.
Amazon Data Exchange API Rules
SPECTRALAmazon Data Exchange API Rules
SPECTRALJSON Schema 22
Standalone JSON Schema definitions describe the data models behind the API. We profile them so the shapes are validatable on their own — useful long after a single request is forgotten.
Standalone JSON Schema definitions for this provider's data models.
Asset
JSON SCHEMACreate Data Set Request
JSON SCHEMACreate Event Action Request
JSON SCHEMACreate Job Request
JSON SCHEMACreate Revision Request
JSON SCHEMAData Set
JSON SCHEMAError
JSON SCHEMAEvent Action
JSON SCHEMAJob
JSON SCHEMAList Data Set Revisions Response
JSON SCHEMAList Data Sets Response
JSON SCHEMAList Event Actions Response
JSON SCHEMAList Jobs Response
JSON SCHEMAList Revision Assets Response
JSON SCHEMAList Tags Response
JSON SCHEMARevision
JSON SCHEMAStart Job Response
JSON SCHEMATag Resource Request
JSON SCHEMAUpdate Asset Request
JSON SCHEMAUpdate Data Set Request
JSON SCHEMAUpdate Event Action Request
JSON SCHEMAUpdate Revision Request
JSON SCHEMAScroll within the panel for all 22 ·
JSON Structure 22
JSON Structure captures the data shapes in a form built for tooling — a complement to JSON Schema that keeps the model machine-legible.
JSON Structure definitions describing this provider's data shapes.
Asset Structure
JSON STRUCTURECreate Data Set Request Structure
JSON STRUCTURECreate Event Action Request Structure
JSON STRUCTURECreate Job Request Structure
JSON STRUCTURECreate Revision Request Structure
JSON STRUCTUREData Set Structure
JSON STRUCTUREError Structure
JSON STRUCTUREEvent Action Structure
JSON STRUCTUREJob Structure
JSON STRUCTUREList Data Set Revisions Response Structure
JSON STRUCTUREList Data Sets Response Structure
JSON STRUCTUREList Event Actions Response Structure
JSON STRUCTUREList Jobs Response Structure
JSON STRUCTUREList Revision Assets Response Structure
JSON STRUCTUREList Tags Response Structure
JSON STRUCTURERevision Structure
JSON STRUCTUREStart Job Response Structure
JSON STRUCTURETag Resource Request Structure
JSON STRUCTUREUpdate Asset Request Structure
JSON STRUCTUREUpdate Data Set Request Structure
JSON STRUCTUREUpdate Event Action Request Structure
JSON STRUCTUREUpdate Revision Request Structure
JSON STRUCTUREScroll within the panel for all 22 ·
Examples 22
Real request and response payloads are what turn a spec from abstract into obvious — and they're one of the twelve things an agent needs to call an API correctly on the first try.
Example request and response payloads for these APIs.
Asset Example
EXAMPLECreate Job Request Example
EXAMPLEData Set Example
EXAMPLEError Example
EXAMPLEEvent Action Example
EXAMPLEJob Example
EXAMPLEList Jobs Response Example
EXAMPLEList Tags Response Example
EXAMPLERevision Example
EXAMPLEStart Job Response Example
EXAMPLETag Resource Request Example
EXAMPLEUpdate Asset Request Example
EXAMPLEScroll within the panel for all 22 ·
Security Posture 4
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
An x-agentic-access contract marks which operations are safe for an agent to run on its own and which need a human in the loop. It is the difference between an API an agent can use and one it can use safely.
Recommended x-agentic-access execution contracts for AI agents.
Use Cases 5
What developers actually build with this provider — captured so the catalogue answers 'what is this for', not just 'what does this expose'.
What developers build with this provider.
Third-Party Data Acquisition
Subscribe to curated third-party datasets from financial data providers, healthcare data aggregators, weather services, and market research firms.
Data Product Monetization
Publish and sell proprietary datasets to other AWS customers via the marketplace with automated billing and subscription management.
Automated Data Pipelines
Configure event actions to automatically deliver new data revisions to S3, enabling downstream analytics pipelines to process fresh data.
ML Training Data
Access high-quality labeled datasets and specialized data products from Data Exchange to train and improve machine learning models.
Regulatory Compliance Data
Subscribe to compliance reference data including sanctions lists, legal entity identifiers, and regulatory taxonomies via Data Exchange.
Resources
Every other property we hold for Amazon Data Exchange — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Get Started 5
Portal, sign-up, and the first successful call
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 16
Pagination, idempotency, versioning, errors, and events
Scroll within the panel for all 16 ·
Build 2
SDKs, sample code, and the tooling you integrate with
Access & Security 4
Authentication, authorization, and security posture
Operate 3
Status, limits, changes, and where to get help
Commercial 2
Pricing, plans, and the legal terms of use
Company 1
The organization behind the API
← All providers · Data indexed from github.com/api-evangelist/amazon-data-exchange · machine-readable index on apis.io