ChatGPT
OpenAI's ChatGPT API for conversational AI and language model interactions.
Solid contracts, transparent operations, and an easy start — typically complete on four or five facets with one clear soft spot.
API Evangelist profiles ChatGPT the way a machine reads it — 160 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 55.9/100 (strong), with a separate agent-readiness read of 33/100 (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. 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.
Kin Score
How this is scored →scored 2026-09-10 · rubric v0.20.0
Put this on your own site. The badge is drawn live from ChatGPT's current Kin Score — paste it once and it updates itself every time the score is recomputed. It follows your visitor's light or dark setting, and it links back here so anyone who sees it can read the full breakdown.
<!-- Kin Score · API Evangelist -->
<a href="https://providers.apievangelist.com/providers/chatgpt/"
title="ChatGPT on API Evangelist — API profile and Kin Score">
<img src="https://apis.io/badge/chatgpt.svg"
alt="ChatGPT Kin Score — API readiness rating by API Evangelist" width="150" height="150" loading="lazy">
</a>[](https://providers.apievangelist.com/providers/chatgpt/)<!-- Kin Score · API Evangelist -->
<a href="https://providers.apievangelist.com/providers/chatgpt/"
title="ChatGPT on API Evangelist — API profile and Kin Score">
<img src="https://apis.io/badge/chatgpt/card.svg"
alt="ChatGPT Kin Score — API readiness rating by API Evangelist" width="340" height="120" loading="lazy">
</a>More shapes, themes and sizes → · Score as JSON · How badges work
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.
ChatGPT Chat Completions API
POSTMANChatGPT Responses API
POSTMANOpen Collections 3
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 COLLECTIONChatGPT Chat Completions API
OPEN COLLECTIONChatGPT Chat Completions Responses API
OPEN COLLECTIONArazzo 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.
ARAZZOChatGPT Create and Poll a Response
Create a stored response and poll it until generation completes.
ARAZZOChatGPT Describe an Image Input
Send an image URL to the Responses API and retrieve a text description.
ARAZZOChatGPT Moderation Gate Before Generation
Classify input safety with a chat completion, then generate only if it is safe.
ARAZZOChatGPT Multi-Turn Conversation
Start a conversation and continue it by chaining previous_response_id.
ARAZZOChatGPT Response Lifecycle With Cleanup
Create a stored response, read its output, then delete it.
ARAZZOChatGPT Structured JSON Output Response
Generate a response constrained to a caller-supplied JSON schema.
ARAZZOChatGPT Web Search Grounded Answer
Answer a question with the built-in web search tool and return citations.
ARAZZOScroll 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.
openaiDeveloperDocs
OpenAI publishes an official hosted MCP server that exposes its developer documentation (search + page retrieval) over Streamable HTTP with no authentication. It is documentatio...
MCP SERVERPricing 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.
Chatgpt Rate Limits
RATE LIMITSFinOps 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.
Chatgpt Finops
FINOPSFeatures 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.
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
SPECTRALChatGPT API Rules
SPECTRALJSON 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
JSON SCHEMAChatGPT Chat Completion
JSON SCHEMAChatCompletionAssistantMessage
JSON SCHEMAChatCompletionChoice
JSON SCHEMAChatCompletionContentPart
JSON SCHEMAChatCompletionMessage
JSON SCHEMAChatCompletionNamedToolChoice
JSON SCHEMAChatCompletionToolCall
JSON SCHEMAChatCompletionTool
JSON SCHEMACompletionUsage
JSON SCHEMACreateChatCompletionRequest
JSON SCHEMACreateChatCompletionResponse
JSON SCHEMAErrorResponse
JSON SCHEMAFunctionDefinition
JSON SCHEMAResponseFormat
JSON SCHEMATokenLogprob
JSON SCHEMAChatCompletionAssistantMessage
JSON SCHEMAChatCompletionChoice
JSON SCHEMAChatCompletionContentPart
JSON SCHEMAChatCompletionMessage
JSON SCHEMAChatCompletionNamedToolChoice
JSON SCHEMAChatCompletionTool
JSON SCHEMAChatCompletionToolCall
JSON SCHEMACompletionUsage
JSON SCHEMACreateChatCompletionRequest
JSON SCHEMACreateChatCompletionResponse
JSON SCHEMACreateResponseRequest
JSON SCHEMAErrorResponse
JSON SCHEMAFunctionDefinition
JSON SCHEMAChatGPT Response
JSON SCHEMAResponseFormat
JSON SCHEMAResponseInputContentPart
JSON SCHEMAResponseInputItem
JSON SCHEMAResponseInputItemList
JSON SCHEMAResponseObject
JSON SCHEMAResponseOutputContentPart
JSON SCHEMAResponseOutputItem
JSON SCHEMAAnnotation
JSON SCHEMACreateResponseRequest
JSON SCHEMAErrorResponse
JSON SCHEMAResponseInputContentPart
JSON SCHEMAResponseInputItemList
JSON SCHEMAResponseInputItem
JSON SCHEMAResponseObject
JSON SCHEMAResponseOutputContentPart
JSON SCHEMAResponseOutputItem
JSON SCHEMAResponseToolChoice
JSON SCHEMAResponseTool
JSON SCHEMAResponseUsage
JSON SCHEMAResponseTool
JSON SCHEMAResponseToolChoice
JSON SCHEMAResponseUsage
JSON SCHEMATokenLogprob
JSON SCHEMAScroll 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 Chat Completions Chat Completion Tool Structure
JSON STRUCTUREChatgpt Chat Completions Completion Usage Structure
JSON STRUCTUREChatgpt Chat Completions Error Response Structure
JSON STRUCTUREChatgpt Chat Completions Function Definition Structure
JSON STRUCTUREChatgpt Chat Completions Response Format Structure
JSON STRUCTUREChatgpt Chat Completions Token Logprob Structure
JSON STRUCTUREChatgpt Responses Annotation Structure
JSON STRUCTUREChatgpt Responses Create Response Request Structure
JSON STRUCTUREChatgpt Responses Error Response Structure
JSON STRUCTUREChatgpt Responses Response Input Content Part Structure
JSON STRUCTUREChatgpt Responses Response Input Item List Structure
JSON STRUCTUREChatgpt Responses Response Input Item Structure
JSON STRUCTUREChatgpt Responses Response Object Structure
JSON STRUCTUREChatgpt Responses Response Output Content Part Structure
JSON STRUCTUREChatgpt Responses Response Output Item Structure
JSON STRUCTUREChatgpt Responses Response Tool Choice Structure
JSON STRUCTUREChatgpt Responses Response Tool Structure
JSON STRUCTUREChatgpt Responses Response Usage Structure
JSON STRUCTUREChatgpt Structure
JSON STRUCTUREScroll 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.
Chatgpt Getresponse Example
EXAMPLEScroll 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 Trust Center
SOC 2, ISO 27001, ISO 27017, ISO 27018, PCI DSS, FedRAMP, GDPR, CSA STAR
SECURITYAgentic 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.
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
Design & Contract 14
Pagination, idempotency, versioning, errors, and events
Scroll within the panel for all 14 ·
Build 6
SDKs, sample code, and the tooling you integrate with
Access & Security 7
Authentication, authorization, and security posture
Scroll within the panel for all 7 ·
Operate 5
Status, limits, changes, and where to get help
Commercial 3
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API
Other 4
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
This is an independent, third-party profile of ChatGPT, 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.
info@apievangelist.com
·
Read the full data-sourcing policy →
On a security or compliance team? Put security in the subject line and
you will get a person, not a form — we will tell you exactly which public URLs this profile was built from.