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Amazon Serverless Application Repository website screenshot

Amazon Serverless Application Repository

The AWS Serverless Application Repository enables teams, organizations, and individual developers to find, deploy, and publish serverless applications. It enables you to quickly deploy code samples, components, and complete applications for common use cases such as web and mobile backends, data processing, and IoT applications using AWS SAM templates.

agent ready

Reference-quality API operations across every facet — a rich contract, published governance, transparent operations, and machine-readable commercial terms.

Kin Score

API Evangelist profiles Amazon Serverless Application Repository the way a machine reads it — 51 machine-readable artifacts across 4 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 Serverless Application Repository scores 74.3/100 (exemplar), with a separate agent-readiness read of 55/100 (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 Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 74.3/100 · exemplar
Contract Quality 19.9 / 25
Developer Ergonomics 12.6 / 20
Commercial Clarity 15.8 / 20
Operational Transparency 6.8 / 13
Governance 10.4 / 12
Discoverability 8.8 / 10
Agent readiness — 55/100 · agent ready
Machine-Readable Contract 18 / 18
Agentic Access Contract 15 / 15
MCP Server 0 / 12
Machine-Readable Auth 10 / 10
Idempotency 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 7 / 7
Rate-Limit Signaling 7 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3

How we profile Amazon Serverless Application Repository

Each block below is one kind of artifact we hold for Amazon Serverless Application Repository. 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 4

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.

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.

Open 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).

Arazzo Workflows 8

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.

AWS SAR Browse And Inspect Applications

List owned applications, inspect the first one in detail, and enumerate its published versions.

ARAZZO

AWS SAR Decommission Application

Confirm an application exists by reading it, then delete it to decommission it.

ARAZZO

AWS SAR Deploy Application Via Change Set

Publish an application version, then create a CloudFormation change set to deploy it into a stack.

ARAZZO

AWS SAR Provision And Share Application

Create an application, publish a version, grant deploy permissions, and create a deploy change set.

ARAZZO

AWS SAR Publish Application

Create a new serverless application, add a version to it, then confirm the published result.

ARAZZO

AWS SAR Publish Multiple Versions

Create an application and publish two sequential semantic versions, then list all versions.

ARAZZO

AWS SAR Set Application Policy

Create an application, attach a sharing permission policy to it, then read the policy back.

ARAZZO

AWS SAR Update Application Metadata

Read an application, update its descriptive metadata, then read it back to confirm the changes.

ARAZZO

Scroll within the panel for all 8 ·

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.

FinOps 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 8

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.

One-Click Deployment

Deploy pre-built serverless applications with a single click from the SAR console.

SAM Template Support

Publish applications as AWS SAM templates with full CloudFormation resource support.

Semantic Versioning

Manage multiple application versions using semantic versioning for controlled updates.

Public and Private Sharing

Share applications publicly to the entire AWS community or privately within your organization.

Nested Applications

Compose complex serverless architectures using nested SAM application references.

Policy Sharing

Control who can deploy your application using resource-based policies.

License Management

Attach open source licenses to applications using SPDX license identifiers.

CloudFormation Integration

Deploy applications through CloudFormation changesets for full infrastructure-as-code support.

Scroll within the panel for all 8 ·

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 Serverless Application Repository Context

7 classes · 13 properties

JSON-LD

Spectral 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 Serverless Application Repository API Rules

26 rules · 8 errors · 14 warnings

SPECTRAL

JSON Schema 4

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.

ApplicationPolicyStatement

3 properties

JSON SCHEMA

Application

11 properties

JSON SCHEMA

ApplicationSummary

6 properties

JSON SCHEMA

VersionSummary

4 properties

JSON SCHEMA

JSON Structure 4

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.

Examples 4

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.

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.

Amazon Serverless Application Repository Agentic Access

10 operations · 6 acting

10 operations · 6 acting

AGENTIC

Use Cases 6

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.

Rapid Prototyping

Quickly deploy serverless application templates for common patterns like APIs, data processing, and IoT.

Internal Application Sharing

Share production-ready serverless building blocks across teams within your organization.

Open Source Distribution

Publish open source serverless applications to the public SAR catalog.

Partner Integration Patterns

Distribute serverless integration patterns to AWS partner customers.

Microservice Templates

Package and share reusable microservice patterns as deployable SAR applications.

DevOps Automation

Automate deployment of pre-vetted serverless infrastructure patterns via CI/CD pipelines.

Resources

Every other property we hold for Amazon Serverless Application Repository — 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 4

Portal, sign-up, and the first successful call

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

Learn 1

Tutorials, courses, talks, and written guidance

Operate 4

Status, limits, changes, and where to get help

Commercial 3

Pricing, plans, and the legal terms of use

Company 1

The organization behind the API

Other 1

Properties that don't map to a standard resource type

← All providers · Data indexed from github.com/api-evangelist/amazon-serverless-application-repository · machine-readable index on apis.io