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OpenAI APIs

Collection of OpenAI's artificial intelligence APIs for natural language processing, image generation, speech, and embeddings including Chat Completions, Completions, Images, Audio, Embeddings, Moderations, and Assistants APIs.

agent ready

Solid contracts, transparent operations, and an easy start — typically complete on four or five facets with one clear soft spot.

Kin Score

API Evangelist profiles OpenAI APIs the way a machine reads it — 68 machine-readable artifacts across 12 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 — OpenAI APIs scores 61.4/100 (strong), with a separate agent-readiness read of 48/100 (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 — 61.4/100 · strong
Contract Quality 17.3 / 25
Developer Ergonomics 2.6 / 20
Commercial Clarity 15.8 / 20
Operational Transparency 6.8 / 13
Governance 8.8 / 12
Discoverability 10.0 / 10
Agent readiness — 48/100 · 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 0 / 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 OpenAI APIs

Each block below is one kind of artifact we hold for OpenAI APIs. 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 12

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.

OpenAI APIs Assistants API

Manage AI assistants

OpenAI APIs Chat API

Chat completion operations

OpenAI APIs Completions API

Legacy text completion operations

OpenAI APIs Embeddings API

Text embedding operations

OpenAI APIs Images API

Image generation, editing, and variation operations

OpenAI APIs Messages API

Manage messages within threads

OpenAI APIs Moderations API

Content moderation operations

OpenAI APIs Runs API

Execute assistants on threads

OpenAI APIs Speech API

Text-to-speech operations

OpenAI APIs Threads API

Manage conversation threads

OpenAI APIs Transcription API

Speech-to-text transcription operations

OpenAI APIs Translation API

Audio translation operations

Scroll within the panel for all 12 ·

Open Collections 7

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).

Scroll within the panel for all 7 ·

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.

Openai Apis Rate Limits

7 limits

RATE LIMITS

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.

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.

Openai Context

0 classes · 13 properties

JSON-LD

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.

OpenAI APIs API Rules

6 rules · 5 warnings

SPECTRAL

JSON Schema 38

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.

Assistant

12 properties

JSON SCHEMA

ChatCompletionResponse

7 properties

JSON SCHEMA

ChatMessage

5 properties

JSON SCHEMA

CompletionResponse

7 properties

JSON SCHEMA

CreateAssistantRequest

9 properties

JSON SCHEMA

CreateChatCompletionRequest

17 properties

JSON SCHEMA

CreateCompletionRequest

16 properties

JSON SCHEMA

CreateEmbeddingRequest

5 properties

JSON SCHEMA

CreateImageEditRequest

8 properties

JSON SCHEMA

CreateImageRequest

8 properties

JSON SCHEMA

CreateImageVariationRequest

6 properties

JSON SCHEMA

CreateMessageRequest

3 properties

JSON SCHEMA

CreateModerationRequest

2 properties

JSON SCHEMA

CreateRunRequest

7 properties

JSON SCHEMA

CreateSpeechRequest

5 properties

JSON SCHEMA

CreateThreadRequest

2 properties

JSON SCHEMA

CreateTranscriptionRequest

7 properties

JSON SCHEMA

CreateTranslationRequest

5 properties

JSON SCHEMA

DeleteResponse

3 properties

JSON SCHEMA

Embedding

3 properties

JSON SCHEMA

EmbeddingResponse

4 properties

JSON SCHEMA

ImageResponse

2 properties

JSON SCHEMA

ListResponse

5 properties

JSON SCHEMA

Message

9 properties

JSON SCHEMA

ModerationResponse

3 properties

JSON SCHEMA

ModerationResult

3 properties

JSON SCHEMA

ModifyAssistantRequest

9 properties

JSON SCHEMA

Run

17 properties

JSON SCHEMA

Thread

4 properties

JSON SCHEMA

Tool

2 properties

JSON SCHEMA

ToolCall

3 properties

JSON SCHEMA

TranscriptionResponse

6 properties

JSON SCHEMA

TranslationResponse

1 properties

JSON SCHEMA

Usage

3 properties

JSON SCHEMA

OpenAI Assistant

12 properties

JSON SCHEMA

OpenAI Chat Completion

7 properties

JSON SCHEMA

OpenAI Embedding

3 properties

JSON SCHEMA

OpenAI Moderation Result

3 properties

JSON SCHEMA

Scroll within the panel for all 38 ·

JSON Structure 1

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.

Openai Apis Structure

0 properties

JSON STRUCTURE

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.

Openai Apis Authentication

http · 1 scheme

SECURITY

Openai Apis Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Openai Apis Vulnerability Disclosure

Bugcrowd · security.txt · contact published

SECURITY

Openai Apis Trust Center

SOC 2, ISO 27001, ISO 27017, ISO 27018, PCI DSS, FedRAMP, GDPR, CSA STAR

SECURITY

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.

Openai Apis Agentic Access

28 operations · 21 acting

28 operations · 21 acting

AGENTIC

Resources

Every other property we hold for OpenAI APIs — 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.

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

Build 1

SDKs, sample code, and the tooling you integrate with

Operate 1

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

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