Amazon Parallel Computing Service
AWS Parallel Computing Service (PCS) is a managed service that makes it easy to create and manage high performance computing (HPC) clusters on AWS. It provides familiar scheduler interfaces, integrates with existing HPC tools, and scales automatically to handle demanding workloads.
Real signal across most facets with visible, nameable gaps — the contract exists but is thin, or the portal is good while governance and commercial terms are absent.
API Evangelist profiles Amazon Parallel Computing Service the way a machine reads it — 48 machine-readable artifacts across 19 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 Parallel Computing Service scores 43.0/100 (developing), with a separate agent-readiness read of 17/100 (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. Every facet and dimension name is a link: it opens that measurement's page on APIs.io, where the rating runs across the whole catalog — the exact checks that feed it, how every profiled provider distributes on it, and who is at the top of it.
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How we profile Amazon Parallel Computing Service
Each block below is one kind of artifact we hold for Amazon Parallel Computing Service. 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 19
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 Parallel Computing Service CreateCluster API
The CreateCluster API from Amazon Parallel Computing Service — 1 operation(s) for createcluster.
Amazon Parallel Computing Service CreateComputeNodeGroup API
The CreateComputeNodeGroup API from Amazon Parallel Computing Service — 1 operation(s) for createcomputenodegroup.
Amazon Parallel Computing Service CreateQueue API
The CreateQueue API from Amazon Parallel Computing Service — 1 operation(s) for createqueue.
Amazon Parallel Computing Service DeleteCluster API
The DeleteCluster API from Amazon Parallel Computing Service — 1 operation(s) for deletecluster.
Amazon Parallel Computing Service DeleteComputeNodeGroup API
The DeleteComputeNodeGroup API from Amazon Parallel Computing Service — 1 operation(s) for deletecomputenodegroup.
Amazon Parallel Computing Service DeleteQueue API
The DeleteQueue API from Amazon Parallel Computing Service — 1 operation(s) for deletequeue.
Amazon Parallel Computing Service GetCluster API
The GetCluster API from Amazon Parallel Computing Service — 1 operation(s) for getcluster.
Amazon Parallel Computing Service GetComputeNodeGroup API
The GetComputeNodeGroup API from Amazon Parallel Computing Service — 1 operation(s) for getcomputenodegroup.
Amazon Parallel Computing Service GetQueue API
The GetQueue API from Amazon Parallel Computing Service — 1 operation(s) for getqueue.
Amazon Parallel Computing Service ListClusters API
The ListClusters API from Amazon Parallel Computing Service — 1 operation(s) for listclusters.
Amazon Parallel Computing Service ListComputeNodeGroups API
The ListComputeNodeGroups API from Amazon Parallel Computing Service — 1 operation(s) for listcomputenodegroups.
Amazon Parallel Computing Service ListQueues API
The ListQueues API from Amazon Parallel Computing Service — 1 operation(s) for listqueues.
Amazon Parallel Computing Service ListTagsForResource API
The ListTagsForResource API from Amazon Parallel Computing Service — 1 operation(s) for listtagsforresource.
Amazon Parallel Computing Service RegisterComputeNodeGroupInstance API
The RegisterComputeNodeGroupInstance API from Amazon Parallel Computing Service — 1 operation(s) for registercomputenodegroupinstance.
Amazon Parallel Computing Service TagResource API
The TagResource API from Amazon Parallel Computing Service — 1 operation(s) for tagresource.
Amazon Parallel Computing Service UntagResource API
The UntagResource API from Amazon Parallel Computing Service — 1 operation(s) for untagresource.
Amazon Parallel Computing Service UpdateCluster API
The UpdateCluster API from Amazon Parallel Computing Service — 1 operation(s) for updatecluster.
Amazon Parallel Computing Service UpdateComputeNodeGroup API
The UpdateComputeNodeGroup API from Amazon Parallel Computing Service — 1 operation(s) for updatecomputenodegroup.
Amazon Parallel Computing Service UpdateQueue API
The UpdateQueue API from Amazon Parallel Computing Service — 1 operation(s) for updatequeue.
Scroll within the panel for all 19 ·
Open Collections 21
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).
API Collection
OPEN COLLECTIONAmazon Parallel Computing Service CreateCluster API
OPEN COLLECTIONAmazon Parallel Computing Service CreateCluster GetQueue API
OPEN COLLECTIONAmazon Parallel Computing Service
OPEN COLLECTIONScroll within the panel for all 21 ·
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 things the Kin Score reads for access clarity — renamed from commercial clarity in rubric 0.12, because a free statutory interface has access terms and no commercial ones.
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.
Spectral Rules 1
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.
Security Posture 3
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 Amazon Parallel Computing Service — 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
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 2
Pagination, idempotency, versioning, errors, and events
Build 1
SDKs, sample code, and the tooling you integrate with
Access & Security 3
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 2
The organization behind the API
← All providers · Data indexed from github.com/api-evangelist/amazon-parallel-computing-service · machine-readable index on apis.io
This is an independent, third-party profile of Amazon Parallel Computing Service, published by API Evangelist. We do not operate, host, resell, or support these APIs, and we are not affiliated with or endorsed by the company unless stated above. Everything here is built from publicly available information — the company's own site, developer portal, documentation, public repositories, and the specifications it publishes for public use. Nothing is obtained by breaching a system, defeating an access control, or using credentials.
The Kin Score and Agent Readiness rating are independently calculated assessments of a company's public API artifacts, scored against a published rubric. They are not certifications, endorsements, security assessments, or audits.
Corrections, re-scores, and removal are free — no partnership or purchase required, and you do not need to justify the request. A removed company is recorded as unrated, never scored zero for having asked. Acknowledgement within one business day; removal within two.
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