Turn API Docs Into Conversions
70% never make their first API call. Interactive playgrounds change that.
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Stripe won because developers can test their API instantly. Now you can too. Deploy your playground in seconds, developers start testing immediately.
OpenAPI to Playground in Seconds
Point us to your OpenAPI spec and get a fully interactive playground in seconds. No configuration needed. Just works.
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Not a mock or a simulation. Users make real API calls from the playground and see actual responses. The fastest way to understand your API.
Any Documentation to Playground
No OpenAPI spec? No problem. We'll analyze your existing documentation and automatically generate an interactive playground. AI-powered parsing that understands your API structure.
openapi 3.1.0 info: title OpenAI API description The OpenAI REST API. Please see https://platform.openai.com/docs/api-reference for more details. version 2.3.0 termsOfService https://openai.com/policies/terms-of-use contact: name OpenAI Support url https://help.openai.com/ license: name MIT url https://github.com/openai/openai-openapi/blob/master/LICENSE servers: - url: https://api.openai.com/v1 security: - ApiKeyAuth: [] tags: - name: Assistants description Build Assistants that can call models and use tools. - name: Audio description Turn audio into text or text into audio. - name: Chat description Given a list of messages comprising a conversation, the model will return a response. - name: Completions description Given a prompt, the model will return one or more predicted completions. - name: Embeddings description Get a vector representation of a given input. - name: Files description Files are used to upload documents that can be used with features like Assistants. - name: Images description Given a prompt and/or an input image, the model will generate a new image. - name: Models description List and describe the various models available in the API. paths: /chat/completions: post: operationId createChatCompletion tags: - Chat summary Creates a model response for the given chat conversation. requestBody: required true content: application/json: schema: type object properties: model: type string description ID of the model to use. messages: type array items: type object properties: role: type string enum [system, user, assistant] content: type string responses: '200': description OK content: application/json: schema: type object properties: id: type string object: type string created: type integer model: type string choices: type array items: type object properties: index: type integer message: type object finish_reason: type string usage: type object properties: prompt_tokens: type integer completion_tokens: type integer total_tokens: type integer /models: get: operationId listModels tags: - Models summary Lists the currently available models. responses: '200': description OK content: application/json: schema: type object properties: data: type array items: type object properties: id: type string object: type string created: type integer owned_by: type string
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