Amazon SQS
Amazon Simple Queue Service (SQS) is a fully managed message queuing service that enables you to decouple and scale microservices, distributed systems, and serverless applications.
Solid contracts, transparent operations, and an easy start — typically complete on four or five facets with one clear soft spot.
API Evangelist profiles Amazon SQS the way a machine reads it — 91 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 SQS scores 60.1/100 (strong), with a separate agent-readiness read of 61/100 (agent native). 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 SQS
Each block below is one kind of artifact we hold for Amazon SQS. 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.
Amazon SQS Messages API
Operations for sending, receiving, and deleting messages in SQS queues
Amazon SQS Permissions API
Operations for managing queue access permissions
Amazon SQS Queues API
Operations for creating, managing, and deleting SQS queues
Amazon SQS Tags API
The Tags API from Amazon SQS — 1 operation(s) for tags.
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).
Amazon SQS Amazon Simple Queue Service (SQS) API
OPEN COLLECTIONPricing 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 Sqs 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.
Amazon Sqs Finops
FINOPSFeatures 6
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.
Standard Queues
Maximum throughput, best-effort ordering, and at-least-once delivery for high-volume messaging workloads.
FIFO Queues
Exactly-once processing and strict ordering guarantees for applications requiring message sequence preservation.
Dead-Letter Queues
Automatic routing of failed messages to dead-letter queues for debugging and reprocessing.
Message Move Tasks
Bulk movement of messages between queues for reprocessing dead-letter queue contents.
Server-Side Encryption
Automatic encryption of messages at rest using AWS KMS keys for data protection.
Long Polling
Reduced API costs and latency by allowing consumers to wait for messages to arrive before responding.
Event Specifications 1
Not every API is request/response. AsyncAPI describes the event-driven and streaming side — the webhooks and channels — so the asynchronous half of the interface is documented the same way the synchronous half is.
AsyncAPI definitions for this provider's event-driven and streaming APIs.
Amazon Simple Queue Service (SQS) Event Source Mapping
AsyncAPI specification for Amazon SQS event-driven messaging patterns. Amazon SQS provides reliable, highly-scalable hosted queues for storing messages as they travel between ap...
ASYNCAPISemantic 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 Sqs Context
JSON-LDSpectral Rules 3
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.
JSON Schema 19
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.
BatchResultErrorEntry
JSON SCHEMACancelMessageMoveTaskResponse
JSON SCHEMAChangeMessageVisibilityBatchResponse
JSON SCHEMACreateQueueResponse
JSON SCHEMADeleteMessageBatchResponse
JSON SCHEMAErrorResponse
JSON SCHEMAGenericResponse
JSON SCHEMAGetQueueAttributesResponse
JSON SCHEMAGetQueueUrlResponse
JSON SCHEMAListDeadLetterSourceQueuesResponse
JSON SCHEMAListMessageMoveTasksResponse
JSON SCHEMAListQueueTagsResponse
JSON SCHEMAListQueuesResponse
JSON SCHEMAMessage
JSON SCHEMAReceiveMessageResponse
JSON SCHEMAResponseMetadata
JSON SCHEMASendMessageBatchResponse
JSON SCHEMASendMessageResponse
JSON SCHEMAStartMessageMoveTaskResponse
JSON SCHEMAScroll within the panel for all 19 ·
JSON Structure 19
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.
Amazon Sqs Batch Result Error Entry Structure
JSON STRUCTUREAmazon Sqs Cancel Message Move Task Response Structure
JSON STRUCTUREAmazon Sqs Create Queue Response Structure
JSON STRUCTUREAmazon Sqs Delete Message Batch Response Structure
JSON STRUCTUREAmazon Sqs Error Response Structure
JSON STRUCTUREAmazon Sqs Generic Response Structure
JSON STRUCTUREAmazon Sqs Get Queue Attributes Response Structure
JSON STRUCTUREAmazon Sqs Get Queue Url Response Structure
JSON STRUCTUREAmazon Sqs List Message Move Tasks Response Structure
JSON STRUCTUREAmazon Sqs List Queue Tags Response Structure
JSON STRUCTUREAmazon Sqs List Queues Response Structure
JSON STRUCTUREAmazon Sqs Message Structure
JSON STRUCTUREAmazon Sqs Receive Message Response Structure
JSON STRUCTUREAmazon Sqs Response Metadata Structure
JSON STRUCTUREAmazon Sqs Send Message Batch Response Structure
JSON STRUCTUREAmazon Sqs Send Message Response Structure
JSON STRUCTUREAmazon Sqs Start Message Move Task Response Structure
JSON STRUCTUREScroll within the panel for all 19 ·
Examples 19
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.
Amazon Sqs Message Example
EXAMPLEScroll within the panel for all 19 ·
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.
Microservices Decoupling
Decouple microservices by using SQS queues as asynchronous communication buffers between services.
Serverless Event Processing
Trigger AWS Lambda functions from SQS messages for event-driven serverless architectures.
Order Processing Pipelines
Use FIFO queues to ensure ordered processing of e-commerce orders and financial transactions.
Work Queue Distribution
Distribute compute-intensive tasks across multiple workers using standard queues for parallel processing.
Batch Job Orchestration
Queue batch processing jobs and manage their execution across distributed compute resources.
Integrations 5
Pre-built integrations with other platforms tell you where this provider already fits in a stack.
Pre-built integrations with other platforms and tools.
AWS Lambda
Automatically invoke Lambda functions when messages arrive in SQS queues for serverless processing.
Amazon SNS
Fan out SNS notifications to multiple SQS queues for parallel processing of published messages.
Amazon EventBridge
Route events from EventBridge to SQS queues for reliable event-driven architectures.
AWS CloudFormation
Provision and manage SQS queues as infrastructure-as-code using CloudFormation templates.
Terraform
Create and manage SQS resources using HashiCorp Terraform infrastructure-as-code provider.
Resources
Every other property we hold for Amazon SQS — 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 1
Portal, sign-up, and the first successful call
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Build 2
SDKs, sample code, and the tooling you integrate with
Access & Security 4
Authentication, authorization, and security posture
Operate 2
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
Other 1
Properties that don't map to a standard resource type
← All providers · Data indexed from github.com/api-evangelist/amazon-sqs · machine-readable index on apis.io