Cerebras Systems

Cerebras Systems builds the Wafer-Scale Engine (WSE) — the largest computer chip ever made — and the CS-3 systems built around it, delivering AI training and inference at speeds far beyond conventional GPUs. Cerebras Inference is the company's cloud API: an OpenAI-compatible REST interface at api.cerebras.ai that serves open-weight frontier models (OpenAI GPT-OSS, Gemma 4, Z.ai GLM 4.7) at industry-leading tokens-per-second. Developers authenticate with a bearer API key and call chat/completions, completions, and models endpoints, with streaming, tool calling, structured outputs, vision, prompt caching, and batch inference. Custom model weights can be deployed on dedicated endpoints. Official Python and Node.js SDKs, a Cloud Console with a playground, and coding-tool integrations (VS Code, Cline, Kilo Code, OpenCode) round out the developer surface.

Cerebras Systems publishes 5 API contracts indexed on the APIs.io network, including Completions API, Models API, Public Models API, and 2 more. Tagged areas include Company, AI Infrastructure, Artificial Intelligence, Machine Learning, and Inference.

Cerebras Systems’ developer surface includes status page, documentation, API reference, getting-started guide, support, engineering blog, pricing, and 38 more developer resources.

🌐 Visit website 📡 Source on GitHub

59.2/100 strong ▬ flat Agent 26/100 agent aware Front door AI 6/6 dominant saas Full breakdown ↓
scored 2026-10-17 · rubric v0.24.0

AccessFreemiumSelf serveFree trial⚡ Free to try

2 published contracts

Company AI Infrastructure Artificial Intelligence Machine Learning Inference LLM Developer Tools Cloud Computing Semiconductors

Kin Score

Kin Score How this is scored →
scored 2026-10-17 · rubric v0.24.0

Composite quality — 59.2/100 · strong

Contract Quality 7.9 / 19

Developer Ergonomics 10.8 / 15

Access Clarity 13.8 / 15

Operational Transparency 5.1 / 10

Contract Governance 0.4 / 9

Discoverability 5.5 / 8

Regulatory Posture 4.1 / 15

Create-or-Update Ergonomics 0.0 / 10

Agent readiness — 26/100 · agent aware

Machine-Readable Contract 18 / 18

Agentic Access Contract 10 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 8 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 7 / 7

Typed Event Surface 0 / 6

Agent Skills 5 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

Create-or-Update Ergonomics applies to this provider. This API accepts writes, so it carries 10 points of the composite. It is scored from the published contracts themselves: whether a caller can create-or-update in one call, whether the write accepts a key the caller already holds, and whether the response says which branch ran. Without that, every write needs a search-and-branch in front of it, and the first time that check is skipped a duplicate record is created. Scored against the observed mean rather than raw — a provider at the catalog average is unchanged by this facet, not penalised by it.

The six quality facets above are damped to 75 points between them, because the conditional facet above carries the other 25. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 75% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from github.com/api-evangelist/cerebras-systems: open an issue to ask a question, or submit a pull request to add artifacts. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Markets this provider is in provisional

The Kin Score Market layer reads a provider inside its market: its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted: not part of the Kin Score or agent readiness.

Market	Position	Depth	Registered MCP server	Declares compatibility
AI Model Routing	covered	42.1	-	-

Registered MCP server and declares compatibility are report only — not weighted. Undeclared means we found nothing we can read, so there is no number: we never infer integrations.

Standards implemented 1

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

OPEN COLLECTION

Pricing Plans 1

Published pricing tiers and plan structures.

Cerebras Systems Plans

3 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Cerebras Systems Rate Limits

0 limits

RATE LIMITS

OpenAPI Overlays 1

Overlays applied on top of this provider's contracts. Each card says who wrote it: a document the provider publishes, or one API Evangelist derived or generated.

Cerebras Systems Inference Overlay

3 actions · update · cerebras-systems-inference-openapi-original.yml

UNRECORDED

Security Posture 3

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Cerebras Systems Authentication

http · 1 scheme

SECURITY

Cerebras Systems Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Cerebras Systems Trust Center

SOC 2, GDPR

SECURITY

Agentic Access 1

Recommended x-agentic-access execution contracts for AI agents.

Cerebras Systems Agentic Access

8 operations · 3 acting

AGENTIC

Resources

Get Started 4

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

GettingStarted

GettingStarted

SignUp

SignUp

Login

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 5

MCP servers, agent skills, and machine-readable catalogs

LlmsText

LlmsText

LLMsTxt

LLMsTxt

X-MCPServerCandidate

X-MCPServerCandidate

AgenticAccess

AgenticAccess

AgentSkill

AgentSkill

Design & Contract 5

Pagination, idempotency, versioning, errors, and events

Conventions

ErrorCatalog

Conformance

Lifecycle

DataModel

Build 6

SDKs, sample code, and the tooling you integrate with

PostmanWorkspace

PostmanWorkspace

GitHubOrganization

Packages

SDKs

Python SDK

Node.js SDK

Access & Security 6

Authentication, authorization, and security posture

TrustCenter

TrustCenter

Compliance

Security

Authentication

DomainSecurity

Operate 7

Status, limits, changes, and where to get help

Status

Support

StatusPage

ChangeLog

Deprecation

RateLimits

ChangeLog

Scroll for all 7

Commercial 4

Pricing, plans, and the legal terms of use

Pricing

TermsOfService

PrivacyPolicy

Plans

Company 4

The organization behind the API

LinkedIn

Twitter

Twitter

Website

Website

Blog

Blog

Other 2

Properties that don't map to a standard resource type

ModelZoo

ModelZoo

Overlay

Overlay

Source (apis.yml)

aid: cerebras-systems
name: Cerebras Systems
description: 'Cerebras Systems builds the Wafer-Scale Engine (WSE) — the largest computer chip ever made — and the CS-3 systems
  built around it, delivering AI training and inference at speeds far beyond conventional GPUs. Cerebras Inference is the
  company''s cloud API: an OpenAI-compatible REST interface at api.cerebras.ai that serves open-weight frontier models (OpenAI
  GPT-OSS, Gemma 4, Z.ai GLM 4.7) at industry-leading tokens-per-second. Developers authenticate with a bearer API key and
  call chat/completions, completions, and models endpoints, with streaming, tool calling, structured outputs, vision, prompt
  caching, and batch inference. Custom model weights can be deployed on dedicated endpoints. Official Python and Node.js SDKs,
  a Cloud Console with a playground, and coding-tool integrations (VS Code, Cline, Kilo Code, OpenCode) round out the developer
  surface.'
url: https://raw.githubusercontent.com/api-evangelist/cerebras-systems/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- coatue
x-tier: stub
x-tier-reason: portfolio-lead
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: true
  label: Hosted service · you call their endpoint
  confidence: high
  source:
  - openapi
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: freemium
  onboarding: self-serve
  trial: true
  try_now: true
  public: false
  label: Freemium (free trial) · Self-serve signup
  confidence: high
  source:
  - plans
  - authentication
  - rate-limits
  - security
  generated: '2026-09-03'
  method: derived
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-18'
image: https://github.com/Cerebras.png
x-docs-platform: mintlify
x-docs-platform-confidence: medium
x-docs-platform-checked: 2026-09-21
x-docs-hosting: vercel
tags:
- Company
- AI Infrastructure
- Artificial Intelligence
- Machine Learning
- Inference
- LLM
- Developer Tools
- Cloud Computing
- Semiconductors
tags_raw:
- Company
- Ai Infrastructure
- Artificial Intelligence
- Machine Learning
- Inference
- Large Language Models
- Developer Tools
- Cloud Computing
- Semiconductors
- Machine-Learning
apis:
- aid: cerebras-systems:cerebras-systems-completions-api
  name: Cerebras Systems Completions API
  description: The Completions API from Cerebras Systems — 1 operation(s) for completions.
  humanURL: https://inference-docs.cerebras.ai
  baseURL: https://api.cerebras.ai
  tags:
  - Completions
  properties:
  - type: OpenAPI
    url: openapi/cerebras-systems-completions-api-openapi.yml
  - type: APIReference
    url: https://inference-docs.cerebras.ai/api-reference/chat-completions
  - type: Documentation
    url: https://inference-docs.cerebras.ai
  - type: ErrorCatalog
    url: errors/cerebras-systems-problem-types.yml
  - type: Authentication
    url: authentication/cerebras-systems-authentication.yml
  - type: Conventions
    url: conventions/cerebras-systems-conventions.yml
  - type: DataModel
    url: data-model/cerebras-systems-data-model.yml
- aid: cerebras-systems:cerebras-systems-models-api
  name: Cerebras Systems Models API
  description: The Models API from Cerebras Systems — 2 operation(s) for models.
  humanURL: https://inference-docs.cerebras.ai
  baseURL: https://api.cerebras.ai
  tags:
  - Models
  properties:
  - type: OpenAPI
    url: openapi/cerebras-systems-models-api-openapi.yml
  - type: APIReference
    url: https://inference-docs.cerebras.ai/api-reference/chat-completions
  - type: Documentation
    url: https://inference-docs.cerebras.ai
  - type: ErrorCatalog
    url: errors/cerebras-systems-problem-types.yml
  - type: Authentication
    url: authentication/cerebras-systems-authentication.yml
  - type: Conventions
    url: conventions/cerebras-systems-conventions.yml
  - type: DataModel
    url: data-model/cerebras-systems-data-model.yml
- aid: cerebras-systems:cerebras-systems-public-models-api
  name: Cerebras Systems Public Models API
  description: The Public Models API from Cerebras Systems — 2 operation(s) for public models.
  humanURL: https://inference-docs.cerebras.ai
  baseURL: https://api.cerebras.ai
  tags:
  - Public Models
  properties:
  - type: OpenAPI
    url: openapi/cerebras-systems-public-models-api-openapi.yml
  - type: APIReference
    url: https://inference-docs.cerebras.ai/api-reference/chat-completions
  - type: Documentation
    url: https://inference-docs.cerebras.ai
  - type: ErrorCatalog
    url: errors/cerebras-systems-problem-types.yml
  - type: Authentication
    url: authentication/cerebras-systems-authentication.yml
  - type: Conventions
    url: conventions/cerebras-systems-conventions.yml
  - type: DataModel
    url: data-model/cerebras-systems-data-model.yml
- aid: cerebras-systems:cerebras-systems-tcp-warming-api
  name: Cerebras Systems Tcp Warming API
  description: The Tcp Warming API from Cerebras Systems — 1 operation(s) for tcp warming.
  humanURL: https://inference-docs.cerebras.ai
  baseURL: https://api.cerebras.ai
  tags:
  - Tcp Warming
  properties:
  - type: OpenAPI
    url: openapi/cerebras-systems-tcp-warming-api-openapi.yml
  - type: APIReference
    url: https://inference-docs.cerebras.ai/api-reference/chat-completions
  - type: Documentation
    url: https://inference-docs.cerebras.ai
  - type: ErrorCatalog
    url: errors/cerebras-systems-problem-types.yml
  - type: Authentication
    url: authentication/cerebras-systems-authentication.yml
  - type: Conventions
    url: conventions/cerebras-systems-conventions.yml
  - type: DataModel
    url: data-model/cerebras-systems-data-model.yml
- aid: cerebras-systems:cerebras-systems-chat-completions-api
  name: Cerebras Systems Chat Completions API
  description: The Chat Completions API from Cerebras Systems — 1 operation(s) for chat completions.
  humanURL: https://inference-docs.cerebras.ai
  baseURL: https://api.cerebras.ai
  tags:
  - Chat Completions
  properties:
  - type: OpenAPI
    url: openapi/cerebras-systems-chat-completions-api-openapi.yml
  - type: APIReference
    url: https://inference-docs.cerebras.ai/api-reference/chat-completions
  - type: Documentation
    url: https://inference-docs.cerebras.ai
  - type: ErrorCatalog
    url: errors/cerebras-systems-problem-types.yml
  - type: Authentication
    url: authentication/cerebras-systems-authentication.yml
  - type: Conventions
    url: conventions/cerebras-systems-conventions.yml
  - type: DataModel
    url: data-model/cerebras-systems-data-model.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: ModelZoo
  url: https://github.com/Cerebras/modelzoo
- type: LinkedIn
  url: https://www.linkedin.com/company/cerebras-systems
- type: Twitter
  url: https://twitter.com/CerebrasSystems
- type: Status
  url: https://status.cerebras.ai
- type: LlmsText
  url: https://inference-docs.cerebras.ai/llms.txt
- type: PostmanWorkspace
  url: https://www.postman.com/kinlaneapi/cerebras-systems/overview
- type: TrustCenter
  url: security/cerebras-systems-trust-center.yml
- type: Website
  url: https://www.cerebras.ai
- type: DeveloperPortal
  url: https://inference-docs.cerebras.ai
- type: Documentation
  url: https://inference-docs.cerebras.ai
- type: APIReference
  url: https://inference-docs.cerebras.ai/api-reference/chat-completions
- type: GettingStarted
  url: https://inference-docs.cerebras.ai/quickstart
- type: Support
  url: https://inference-docs.cerebras.ai/support/overview
- type: Blog
  url: https://www.cerebras.ai/blog
- type: GitHubOrganization
  url: https://github.com/Cerebras
- type: Pricing
  url: https://www.cerebras.ai/pricing
- type: SignUp
  url: https://cloud.cerebras.ai
- type: Login
  url: https://cloud.cerebras.ai
- type: TermsOfService
  url: https://www.cerebras.ai/terms-of-service
- type: PrivacyPolicy
  url: https://www.cerebras.ai/privacy-policy
- type: StatusPage
  url: https://status.cerebras.ai
- type: TrustCenter
  url: https://trust.cerebras.ai
- type: Compliance
  url: https://trust.cerebras.ai
- type: Security
  url: https://trust.cerebras.ai
- type: ChangeLog
  url: https://inference-docs.cerebras.ai/support/change-log
- type: Deprecation
  url: https://inference-docs.cerebras.ai/support/deprecation
- type: Packages
  url: packages/cerebras-systems-packages.yml
- type: SDKs
  url: packages/cerebras-systems-packages.yml
- type: Python SDK
  url: https://github.com/Cerebras/cerebras-cloud-sdk-python
- type: Node.js SDK
  url: https://github.com/Cerebras/cerebras-cloud-sdk-node
- type: LLMsTxt
  url: llms/cerebras-systems-llms.txt
- type: X-MCPServerCandidate
  url: mcp/cerebras-systems-mcp.yml
  note: 'Renamed from MCPServer 2026-09-03 (roadmap#247): the manifest self-describes as status: candidate — a tool list derived
    from the published API contracts, not an existing server. The scorer already read the manifest and reported mcp_server
    correctly; the MCPServer type was crediting the artifact-type surfaces with a server that does not exist.'
- type: Authentication
  url: authentication/cerebras-systems-authentication.yml
- type: Conventions
  url: conventions/cerebras-systems-conventions.yml
- type: ErrorCatalog
  url: errors/cerebras-systems-problem-types.yml
- type: Conformance
  url: conformance/cerebras-systems-conformance.yml
- type: Lifecycle
  url: lifecycle/cerebras-systems-lifecycle.yml
- type: RateLimits
  url: rate-limits/cerebras-systems-rate-limits.yml
- type: Plans
  url: plans/cerebras-systems-plans.yml
- type: Overlay
  url: overlays/cerebras-systems-inference-overlay.yaml
- type: DataModel
  url: data-model/cerebras-systems-data-model.yml
- type: DomainSecurity
  url: security/cerebras-systems-domain-security.yml
- type: AgenticAccess
  url: agentic-access/cerebras-systems-agentic-access.yml
- type: AgentSkill
  url: skills/_index.yml
- type: ChangeLog
  url: changelog/cerebras-systems-changelog.yml
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

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