zurelay-com API

zurelay-com API as documented publicly: 16 operations. Contract generated from the documentation by API Evangelist (2026-10-31); not the provider's own document.

Operations 16

GET / GET / #
POST /hooks/zurelay POST /hooks/zurelay #
GET /v1 GET /v1 #
POST /v1/audio/speech Text-to-speech API #
POST /v1/chat/completions Chat completions #
POST /v1/images/edits Edit images via POST /v1/images/edits #
POST /v1/images/generations Grok Imagine Image 2.0 is on POST /v1/images/generations #
GET /v1/images/{id} You can also poll it: GET /v1/images/{id} returns the same object, with fresh links in data once its status is completed. #
POST /v1/messages Claude API #
POST /v1/messages/count_tokens Counting tokens #
GET /v1/models List model IDs with GET /v1/models. #
POST /v1/systemone Jev 1.13 API #
GET /v1/videos Wan 3.0 API #
POST /v1/videos Grok Imagine Video 1.5 on POST /v1/videos #
GET /v1/videos/{id} AI Video Generation API #
GET /v1/videos/{id}/content AI Video Generation API #

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OpenAPI Specification

zurelay-com-openapi-generated.yml Raw ↑
openapi: 3.1.0
info:
  title: zurelay-com API
  version: '2026-10-31'
  description: 'GENERATED FROM DOCUMENTATION by API Evangelist on 2026-10-31: 16 operation(s) read from 40 public documentation page(s) (each
    operation names its page in x-source). This is not the provider''s published contract; zurelay-com has published no machine-readable contract
    that the pipeline could find. Engine: local.'
  x-evidence-tiers:
    code-example: 3
    documentation: 13
    pages-with-code: 39
    pages-read: 40
  x-generated-from: documentation
  x-provenance: generated
  x-authored-by: API Evangelist
  x-generated: '2026-10-31'
  x-generator: generate-contract-from-docs.py
  x-engine: local
  x-sources:
  - https://zurelay.com/glm-api
  - https://zurelay.com/gpt-api
  - https://zurelay.com/grok-api
  - https://zurelay.com/kimi-api
  - https://zurelay.com/mimo-api
  - https://zurelay.com/qwen-api
  - https://zurelay.com/claude-api
  - https://zurelay.com/gemini-api
  - https://zurelay.com/minimax-api
  - https://zurelay.com/ai-image-api
  - https://zurelay.com/ai-video-api
  - https://zurelay.com/deepseek-api
  - https://zurelay.com/seedance-api
  - https://zurelay.com/gpt-image-api
  - https://zurelay.com/nano-banana-api
  - https://zurelay.com/text-to-speech-api
  - https://zurelay.com/guides/openai-compatible-api
  - https://zurelay.com/docs/chat
  - https://zurelay.com/docs/images
  - https://zurelay.com/docs/anthropic
  - https://zurelay.com/models/glm-5.2
  - https://zurelay.com/models/glm-5.3
  - https://zurelay.com/models/kimi-k3
  - https://zurelay.com/models/wan-3.0
  - https://zurelay.com/docs/quickstart
  - https://zurelay.com/models/grok-4.7
  - https://zurelay.com/models/jev-1.13
  - https://zurelay.com/models/jev-1.14
  - https://zurelay.com/docs/nano-banana
  - https://zurelay.com/docs/webhooks.md
  - https://zurelay.com/models/gpt-6-sol
  - https://zurelay.com/models/kimi-k2.5
  - https://zurelay.com/models/kimi-k2.6
  - https://zurelay.com/models/kling-3.0
  - https://zurelay.com/models/kling-4.0
  - https://zurelay.com/models/gpt-6-luna
  - https://zurelay.com/models/minimax-h3
  - https://zurelay.com/models/minimax-m3
  - https://zurelay.com/docs/image-editing
  - https://zurelay.com/docs/quickstart.md
servers:
- url: https://api.zurelay.com
paths:
  /:
    get:
      operationId: get
      tags:
      - Api
      summary: GET /
      x-source: https://zurelay.com/docs/anthropic
      responses:
        '200':
          description: Success (status as documented)
      x-evidence:
        kind: code-example
        language: curl
        snippet: 'curl main.py import os import anthropic client = anthropic . Anthropic ( base_url = "https://api.zurelay.com" , api_key = os
          . environ [ "ZURELAY_API_KEY" ] , ) message = client . messages . create ( model = "claude-opus-5-5" , max_tokens = 1024 , system =
          "You are a careful code reviewer." , messages = [ { "role" : "user" , "content" : "Review this function: def add(a, b): return a - b"
          } ] , ) p'
  /hooks/zurelay:
    post:
      operationId: post_hooks_zurelay
      tags:
      - Hooks
      summary: POST /hooks/zurelay
      x-source: https://zurelay.com/docs/webhooks.md
      responses:
        '201':
          description: Success (status as documented)
      x-evidence:
        kind: code-example
        language: http
        snippet: 'POST /hooks/zurelay HTTP/1.1

          content-type: application/json

          user-agent: Zurelay-Webhooks/1.0 (+https://zurelay.com/docs/webhooks)

          webhook-id: msg_2c1f9e0b7a4d4f6e8b3a91c05d7e6f42

          webhook-timestamp: 1791000094

          webhook-signature: v1,K5oZfzN95Z9UVu1EsfQmfVNQhnkZ2pj9o9NDN/H/pI4='
  /v1:
    get:
      operationId: get_v1
      tags:
      - Api
      summary: GET /v1
      x-source: https://zurelay.com/glm-api
      responses:
        '200':
          description: Success (status as documented)
      x-evidence:
        kind: code-example
        language: curl
        snippet: 'curl chat.py from openai import OpenAI client = OpenAI ( base_url = "https://api.zurelay.com/v1" , api_key = "YOUR_ZURELAY_KEY"
          , ) stream = client . chat . completions . create ( model = "glm-5.3" , messages = [ { "role" : "user" , "content" : "Explain quicksort
          briefly." } , ] , stream = True , ) for chunk in stream : if chunk . choices : print ( chunk . choices [ 0 ] . delta . content or ""
          , e'
  /v1/audio/speech:
    post:
      operationId: post_v1_audio_speech
      tags:
      - Audio
      summary: Text-to-speech API
      description: Zurelay serves Gemini text‑to‑speech models through an OpenAI‑compatible speech endpoint.
      x-source: https://zurelay.com/text-to-speech-api
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/PostV1AudioSpeechRequest'
      responses:
        '201':
          description: Success (status as documented)
      x-evidence:
        kind: documentation
  /v1/chat/completions:
    post:
      operationId: post_v1_chat_completions
      tags:
      - Chat
      summary: Chat completions
      description: OpenAI‑compatible chat completions endpoint for every text model, supporting the same request and response format, streaming,
        and SDKs.
      x-source: https://zurelay.com/docs/chat
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/PostV1ChatCompletionsRequest'
      responses:
        '201':
          description: Success (status as documented)
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/PostV1ChatCompletionsResponse'
      x-evidence:
        kind: documentation
  /v1/images/edits:
    post:
      operationId: post_v1_images_edits
      tags:
      - Images
      summary: Edit images via POST /v1/images/edits
      x-source: https://zurelay.com/ai-image-api
      responses:
        '201':
          description: Success (status as documented)
      x-evidence:
        kind: documentation
  /v1/images/generations:
    post:
      operationId: post_v1_images_generations
      tags:
      - Images
      summary: Grok Imagine Image 2.0 is on POST /v1/images/generations
      x-source: https://zurelay.com/grok-api
      responses:
        '201':
          description: Success (status as documented)
      x-evidence:
        kind: documentation
  /v1/images/{id}:
    get:
      operationId: get_v1_images_id
      tags:
      - Images
      summary: 'You can also poll it: GET /v1/images/{id} returns the same object, with fresh links in data once its status is completed.'
      description: Polling endpoint returns the current job state.
      x-source: https://zurelay.com/docs/webhooks.md
      parameters:
      - name: id
        in: path
        required: true
        schema:
          type: string
      responses:
        '200':
          description: Success (status as documented)
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/GetV1ImagesIdResponse'
      x-evidence:
        kind: documentation
  /v1/messages:
    post:
      operationId: post_v1_messages
      tags:
      - Messages
      summary: Claude API
      description: Requests go to POST /v1/messages in Anthropic's own format, with streaming, tools and thinking.
      x-source: https://zurelay.com/claude-api
      responses:
        '201':
          description: Success (status as documented)
      x-evidence:
        kind: documentation
  /v1/messages/count_tokens:
    post:
      operationId: post_v1_messages_count_tokens
      tags:
      - Messages
      summary: Counting tokens
      description: Returns an estimate of token count for a request body identical to /v1/messages. This endpoint is free.
      x-source: https://zurelay.com/docs/anthropic
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/PostV1MessagesCountTokensRequest'
      responses:
        '200':
          description: Success (status as documented)
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/PostV1MessagesCountTokensResponse'
      x-evidence:
        kind: documentation
  /v1/models:
    get:
      operationId: get_v1_models
      tags:
      - Models
      summary: List model IDs with GET /v1/models.
      description: Provides the list of model IDs that the provider supports.
      x-source: https://zurelay.com/guides/openai-compatible-api
      responses:
        '200':
          description: Success (status as documented)
      x-evidence:
        kind: documentation
  /v1/systemone:
    post:
      operationId: post_v1_systemone
      tags:
      - Systemone
      summary: Jev 1.13 API
      description: POST a state and named questions to get typed answers with probabilities.
      x-source: https://zurelay.com/models/jev-1.13
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/PostV1SystemoneRequest'
      responses:
        '201':
          description: Success (status as documented)
      x-evidence:
        kind: documentation
  /v1/videos:
    get:
      operationId: get_v1_videos
      tags:
      - Videos
      summary: Wan 3.0 API
      description: List recent video jobs.
      x-source: https://zurelay.com/models/wan-3.0
      responses:
        '200':
          description: Success (status as documented)
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/GetV1VideosResponse'
      x-evidence:
        kind: documentation
    post:
      operationId: post_v1_videos
      tags:
      - Videos
      summary: Grok Imagine Video 1.5 on POST /v1/videos
      x-source: https://zurelay.com/grok-api
      responses:
        '201':
          description: Success (status as documented)
      x-evidence:
        kind: documentation
  /v1/videos/{id}:
    get:
      operationId: get_v1_videos_id
      tags:
      - Videos
      summary: AI Video Generation API
      description: Poll the job status until it is completed or failed.
      x-source: https://zurelay.com/ai-video-api
      parameters:
      - name: id
        in: path
        required: true
        schema:
          type: string
      responses:
        '200':
          description: Success (status as documented)
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/GetV1VideosIdResponse'
      x-evidence:
        kind: documentation
  /v1/videos/{id}/content:
    get:
      operationId: get_v1_videos_id_content
      tags:
      - Videos
      summary: AI Video Generation API
      description: Download the generated video content after the job is completed.
      x-source: https://zurelay.com/ai-video-api
      parameters:
      - name: id
        in: path
        required: true
        schema:
          type: string
      responses:
        '200':
          description: Success (status as documented)
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/GetV1VideosIdContentResponse'
      x-evidence:
        kind: documentation
components:
  schemas:
    PostV1AudioSpeechRequest:
      type: object
      properties:
        model:
          type: string
          description: The model ID, e.g., "gemini-3.8-flash-tts".
        voice:
          type: string
          description: The voice name, e.g., "Kore".
        input:
          type: string
          description: The text to be spoken.
      required:
      - model
      - voice
      - input
    PostV1ChatCompletionsRequest:
      type: object
      properties:
        model:
          type: string
          description: A model ID from the models page, such as claude-opus-5-5 or gpt-6-sol.
        messages:
          type: array
          description: 'The conversation: system (or developer), user, assistant and tool messages. Content is a string, or an array of parts
            to add images, PDFs, audio or video.'
        stream:
          type: boolean
          description: Send the answer as server‑sent events while it’s written.
        stream_options:
          type: object
          description: 'Object with "include_usage": true to add a final chunk with token usage.'
        max_completion_tokens:
          type: integer
          description: The most tokens to generate, reasoning included. max_tokens works too.
        temperature:
          type: number
          description: 0 to 2. Lower is more focused, higher more varied.
        top_p:
          type: number
          description: Nucleus sampling, 0 to 1. Change this or temperature, not both.
        stop:
          type: string
          description: Up to 4 sequences where generation stops.
        tools:
          type: array
          description: Functions the model may call.
        tool_choice:
          type: string
          description: auto, none, required, or a specific function.
        response_format:
          type: object
          description: 'JSON output: { "type": "json_object" } or json_schema with a schema.'
        reasoning_effort:
          type: string
          description: 'How hard a reasoning model thinks: none, minimal, low, medium, high, xhigh or max.'
        seed:
          type: integer
          description: Best‑effort reproducibility, for models that support it.
        models:
          type: array
          description: Smart routing alternatives to try, in order, if the model is down.
      required:
      - model
      - messages
    PostV1ChatCompletionsResponse:
      type: object
      properties:
        id:
          type: string
          description: Identifier of the chat completion.
        object:
          type: string
          description: '"chat.completion".'
        created:
          type: integer
          description: Unix timestamp of creation.
        model:
          type: string
          description: The model that answered.
        choices:
          type: array
          description: List of completion choices.
        usage:
          type: object
          description: Token usage details.
    GetV1ImagesIdResponse:
      type: object
      properties:
        id:
          type: string
        object:
          type: string
          description: '"image.generation"'
        model:
          type: string
        status:
          type: string
        created_at:
          type: integer
        completed_at:
          type: integer
          description: null until completed
        data:
          type: array
          description: contains URLs when completed
        url_expires_at:
          type: integer
        cost:
          type: number
        error:
          type: string
          description: null unless failed
        callback_url:
          type: string
    PostV1MessagesCountTokensRequest:
      type: object
      properties:
        model:
          type: string
          description: Claude model name.
        messages:
          type: array
          description: Array of message objects, same format as /v1/messages.
        system:
          type: string
          description: System prompt.
        tools:
          type: array
          description: Tool definitions.
      required:
      - model
      - messages
    PostV1MessagesCountTokensResponse:
      type: object
      properties:
        input_tokens:
          type: integer
          description: Estimated number of input tokens for the request.
    PostV1SystemoneRequest:
      type: object
      properties:
        model:
          type: string
          description: Model ID, e.g., jev-1.13
        state:
          type: string
          description: The content to decide about
        questions:
          type: object
          description: Map of named questions, each with a type (noul, choice, score) and instructions
      required:
      - model
      - state
      - questions
    GetV1VideosResponse:
      type: object
      properties:
        videos:
          type: array
          description: List of recent video jobs
    GetV1VideosIdResponse:
      type: object
      properties:
        id:
          type: string
        status:
          type: string
        error.message:
          type: string
          description: present if status is failed
        cost:
          type: number
          description: cost of the video when completed
    GetV1VideosIdContentResponse:
      type: object
      properties:
        content:
          type: string
          description: The generated video file (e.g., MP4).
  securitySchemes:
    bearer:
      type: http
      scheme: bearer
security:
- bearer: []
tags:
- name: Api
- name: Audio
- name: Chat
- name: Hooks
- name: Images
- name: Messages
- name: Models
- name: Systemone
- name: Videos