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ChatGPT

OpenAI's ChatGPT API for conversational AI and language model interactions.

agent native

Reference-quality API operations across every facet — a rich contract, published governance, transparent operations, and machine-readable commercial terms.

Kin Score

API Evangelist profiles ChatGPT the way a machine reads it — 159 machine-readable artifacts across 2 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 — ChatGPT scores 75.9/100 (exemplar), with a separate agent-readiness read of 81/100 (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 Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 75.9/100 · exemplar
Contract Quality 16.1 / 25
Developer Ergonomics 14.3 / 20
Commercial Clarity 18.4 / 20
Operational Transparency 10.3 / 13
Governance 8.8 / 12
Discoverability 8.0 / 10
Agent readiness — 81/100 · agent native
Machine-Readable Contract 18 / 18
Agentic Access Contract 15 / 15
MCP Server 12 / 12
Machine-Readable Auth 10 / 10
Idempotency 0 / 9
Stable Error Semantics 8 / 8
Request/Response Examples 7 / 7
Rate-Limit Signaling 7 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 5
Well-Known Catalog 4 / 4
Consent & Bot Identity 3 / 3

How we profile ChatGPT

Each block below is one kind of artifact we hold for ChatGPT. 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 2

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.

ChatGPT API

API for accessing OpenAI's ChatGPT language models for chat completions and conversations.

OpenAI Responses API

The Responses API is OpenAI's recommended API primitive for new projects, an evolution of Chat Completions with built-in tools like web search, file search, code interpreter, an...

Postman Collections 2

A runnable collection turns the contract into something a developer can execute in seconds. We profile them because the fastest way to trust an API is to make a real call against it.

Ready-to-run Postman collections for exercising this provider's APIs.

Open Collections 2

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).

ChatGPT Responses API

OPEN COLLECTION

Arazzo Workflows 8

Real integrations are rarely a single call. Arazzo describes the multi-step sequences — auth, then create, then confirm — so both a human and an agent can follow the choreography, not just the endpoints.

Multi-step API workflows described with the Arazzo specification.

ChatGPT Chat Completion With Tool Calling

Run a chat completion offering a function tool and resolve the tool call.

ARAZZO

ChatGPT Create and Poll a Response

Create a stored response and poll it until generation completes.

ARAZZO

ChatGPT Describe an Image Input

Send an image URL to the Responses API and retrieve a text description.

ARAZZO

ChatGPT Moderation Gate Before Generation

Classify input safety with a chat completion, then generate only if it is safe.

ARAZZO

ChatGPT Multi-Turn Conversation

Start a conversation and continue it by chaining previous_response_id.

ARAZZO

ChatGPT Response Lifecycle With Cleanup

Create a stored response, read its output, then delete it.

ARAZZO

ChatGPT Structured JSON Output Response

Generate a response constrained to a caller-supplied JSON schema.

ARAZZO

ChatGPT Web Search Grounded Answer

Answer a question with the built-in web search tool and return citations.

ARAZZO

Scroll within the panel for all 8 ·

MCP Servers 1

Model Context Protocol servers expose these APIs directly to AI agents. We profile them because agent-native access is the fastest-growing way this provider's capabilities actually get used.

Model Context Protocol servers that expose these APIs to AI agents.

chatgpt-mcp.yml

MCP SERVER

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.

Chatgpt Plans Pricing

7 plans

PLANS

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.

Chatgpt Rate Limits

6 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.

Features 10

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.

Chat Completions

Generate conversational responses using GPT models with support for text, function calling, structured outputs, vision inputs, and streaming.

Responses API

Next-generation API with built-in tools for web search, file search, computer use, and code interpreter supporting agentic workflows.

Embeddings

Generate vector representations of text for search, clustering, classification, and recommendation use cases.

Image Generation

Create and edit images from text prompts using DALL-E and GPT Image models.

Audio and Speech

Text-to-speech generation, speech transcription, and translation using Whisper and other audio models.

Content Moderation

Classify text and images to detect potentially harmful content across safety categories.

Fine-Tuning

Customize OpenAI models on your own training data for domain-specific performance improvements.

Batch Processing

Send asynchronous groups of requests at lower cost with higher rate limits.

Realtime Communication

Ultra-low latency multimodal communication over WebRTC, WebSocket, and SIP.

Vector Stores

Manage collections of processed files for retrieval-augmented generation with the file search tool.

Scroll within the panel for all 10 ·

Semantic Vocabularies 3

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.

Chatgpt Chat Completions Context

0 classes · 0 properties

JSON-LD

Chatgpt Context

0 classes · 16 properties

JSON-LD

Chatgpt Responses Context

0 classes · 0 properties

JSON-LD

Spectral Rules 2

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.

ChatGPT API Rules

6 rules · 5 warnings

SPECTRAL

ChatGPT API Rules

16 rules · 8 errors · 8 warnings

SPECTRAL

JSON Schema 53

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.

Annotation

7 properties

JSON SCHEMA

ChatGPT Chat Completion

8 properties

JSON SCHEMA

ChatCompletionAssistantMessage

4 properties

JSON SCHEMA

ChatCompletionChoice

3 properties

JSON SCHEMA

ChatCompletionContentPart

4 properties

JSON SCHEMA

ChatCompletionMessage

6 properties

JSON SCHEMA

ChatCompletionNamedToolChoice

2 properties

JSON SCHEMA

ChatCompletionToolCall

3 properties

JSON SCHEMA

ChatCompletionTool

1 properties

JSON SCHEMA

CompletionUsage

5 properties

JSON SCHEMA

CreateChatCompletionRequest

21 properties

JSON SCHEMA

CreateChatCompletionResponse

7 properties

JSON SCHEMA

ErrorResponse

1 properties

JSON SCHEMA

FunctionDefinition

4 properties

JSON SCHEMA

ResponseFormat

2 properties

JSON SCHEMA

TokenLogprob

4 properties

JSON SCHEMA

ChatCompletionAssistantMessage

4 properties

JSON SCHEMA

ChatCompletionChoice

4 properties

JSON SCHEMA

ChatCompletionContentPart

4 properties

JSON SCHEMA

ChatCompletionMessage

6 properties

JSON SCHEMA

ChatCompletionNamedToolChoice

2 properties

JSON SCHEMA

ChatCompletionTool

2 properties

JSON SCHEMA

ChatCompletionToolCall

3 properties

JSON SCHEMA

CompletionUsage

5 properties

JSON SCHEMA

CreateChatCompletionRequest

22 properties

JSON SCHEMA

CreateChatCompletionResponse

8 properties

JSON SCHEMA

CreateResponseRequest

17 properties

JSON SCHEMA

ErrorResponse

1 properties

JSON SCHEMA

FunctionDefinition

4 properties

JSON SCHEMA

ChatGPT Response

21 properties

JSON SCHEMA

ResponseFormat

2 properties

JSON SCHEMA

ResponseInputContentPart

6 properties

JSON SCHEMA

ResponseInputItem

7 properties

JSON SCHEMA

ResponseInputItemList

5 properties

JSON SCHEMA

ResponseObject

22 properties

JSON SCHEMA

ResponseOutputContentPart

4 properties

JSON SCHEMA

ResponseOutputItem

9 properties

JSON SCHEMA

Annotation

7 properties

JSON SCHEMA

CreateResponseRequest

17 properties

JSON SCHEMA

ErrorResponse

1 properties

JSON SCHEMA

ResponseInputContentPart

6 properties

JSON SCHEMA

ResponseInputItemList

5 properties

JSON SCHEMA

ResponseInputItem

7 properties

JSON SCHEMA

ResponseObject

21 properties

JSON SCHEMA

ResponseOutputContentPart

4 properties

JSON SCHEMA

ResponseOutputItem

9 properties

JSON SCHEMA

ResponseToolChoice

2 properties

JSON SCHEMA

ResponseTool

16 properties

JSON SCHEMA

ResponseUsage

5 properties

JSON SCHEMA

ResponseTool

16 properties

JSON SCHEMA

ResponseToolChoice

2 properties

JSON SCHEMA

ResponseUsage

5 properties

JSON SCHEMA

TokenLogprob

4 properties

JSON SCHEMA

Scroll within the panel for all 53 ·

JSON Structure 27

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.

Chatgpt Responses Annotation Structure

7 properties

JSON STRUCTURE

Chatgpt Responses Error Response Structure

1 properties

JSON STRUCTURE

Chatgpt Responses Response Object Structure

21 properties

JSON STRUCTURE

Chatgpt Responses Response Tool Structure

16 properties

JSON STRUCTURE

Chatgpt Responses Response Usage Structure

5 properties

JSON STRUCTURE

Chatgpt Structure

0 properties

JSON STRUCTURE

Scroll within the panel for all 27 ·

Examples 31

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.

Scroll within the panel for all 31 ·

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.

Chatgpt Authentication

http · 1 scheme

SECURITY

Chatgpt Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Chatgpt Vulnerability Disclosure

Bugcrowd · security.txt · contact published

SECURITY

Chatgpt 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.

Chatgpt Agentic Access

5 operations · 3 acting

5 operations · 3 acting

AGENTIC

Use Cases 6

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.

Customer Support Automation

Build AI-powered chatbots and support agents that handle customer inquiries, troubleshoot issues, and escalate complex cases.

Content Generation

Generate marketing copy, blog posts, product descriptions, and creative content at scale.

Code Assistance

Help developers write, review, debug, and explain code across multiple programming languages.

Data Analysis

Extract insights from unstructured text, summarize documents, and perform sentiment analysis.

Multimodal Applications

Build applications that process text, images, and audio inputs together for richer user experiences.

Agentic Workflows

Create autonomous AI agents that use tools, search the web, and execute multi-step tasks.

Integrations 4

Pre-built integrations with other platforms tell you where this provider already fits in a stack.

Pre-built integrations with other platforms and tools.

Microsoft Azure OpenAI

Deploy OpenAI models on Azure infrastructure with enterprise security, compliance, and regional availability.

LangChain

Build LLM-powered applications using the LangChain framework with OpenAI model providers.

Zapier

Connect ChatGPT to thousands of apps for automated workflows without code.

Slack

Integrate ChatGPT into Slack workspaces for team collaboration and AI-assisted communication.

Resources

Every other property we hold for ChatGPT — 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 2

Reference material describing how the API behaves

Agent Surfaces 4

MCP servers, agent skills, and machine-readable catalogs

Commercial 3

Pricing, plans, and the legal terms of use

Company 1

The organization behind the API

Other 3

Properties that don't map to a standard resource type

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