AWS Batch
AWS Batch is a fully managed batch computing service that enables developers, scientists, and engineers to run hundreds of thousands of batch and machine learning compute jobs efficiently on AWS by dynamically provisioning the optimal quantity and type of compute resources based on job volume and resource requirements. The AWS Batch API provides programmatic management of compute environments, job queues, job definitions, scheduling policies, and job submission and lifecycle operations, authenticated with AWS Signature Version 4 (SigV4).
More than an index entry, but the surface is still mostly links rather than artifacts — the cohort most likely to move a full band from modest, well-targeted work.
API Evangelist profiles AWS Batch the way a machine reads it — 13 machine-readable artifacts across 7 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 — AWS Batch scores 29.6/100 (emerging), with a separate agent-readiness read of 41/100 (agent aware). 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 AWS Batch
Each block below is one kind of artifact we hold for AWS Batch. 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 7
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.
AWS Batch API
REST API for managing AWS Batch compute environments, job queues, job definitions, scheduling policies, consumable resources, and jobs. Operations are exposed as POST endpoints ...
AWS Batch Compute Environments API
The Compute Environments API from AWS Batch — 4 operation(s) for compute environments.
AWS Batch Job Definitions API
The Job Definitions API from AWS Batch — 3 operation(s) for job definitions.
AWS Batch Job Queues API
The Job Queues API from AWS Batch — 4 operation(s) for job queues.
AWS Batch Jobs API
The Jobs API from AWS Batch — 5 operation(s) for jobs.
AWS Batch Scheduling Policies API
The Scheduling Policies API from AWS Batch — 5 operation(s) for scheduling policies.
AWS Batch Tags API
The Tags API from AWS Batch — 1 operation(s) for tags.
Scroll within the panel for all 7 ·
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).
AWS Batch API
OPEN COLLECTIONSecurity 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.
Resources
Every other property we hold for AWS Batch — 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
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Access & Security 4
Authentication, authorization, and security posture
Commercial 1
Pricing, plans, and the legal terms of use
Company 1
The organization behind the API
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