CometAPI

CometAPI Embeddings API

Vector embeddings for retrieval and similarity.

Documentation GitHub OpenAPI

Operations 1

POST /embeddings Create embedding #

Work with this as data

Every API here is available over the APIs.io API and to AI agents over MCP.

MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

https://apis.io/mcp

Tools for apis

7 MCP tools reach this

find_apisBrowse and filter every API in the catalog.
get_api_artifactsOne API's artifacts, grouped by type.
get_openapiThe primary OpenAPI for this API.
find_similar_apisAPIs that look like this one.
apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
resolveTurn a domain, URL or GitHub org into the provider it belongs to.
find_cohortsEvery scored population of providers in the catalog.

All 92 tools →

Call it yourself

curl for this page

This API

curl "https://apis.io/api/v1/apis/cometapi-embeddings-api"

All apis

curl "https://apis.io/api/v1/apis?limit=25"

Discovery needs no key. Ratings and market analysis are Pro.

Get an API key

Free tier, no form to fill in. Signing in shares your email address with us — we store it to create your key and to recognise you if you sign in with another provider. See our Privacy Policy and Terms.

GitHub Google LinkedIn

A second provider on the same verified email joins the account you already have.

OpenAPI Specification

openapi: 3.2.0
info:
  title: CometAPI Unified Audio Embeddings API
  description: CometAPI is an OpenAI-compatible aggregator that exposes a single REST surface for 500+ AI models from multiple vendors (OpenAI, Anthropic, Google, xAI, DeepSeek, Alibaba, and more). Endpoints follow OpenAI's request/response shapes for chat, embeddings, images, video, and speech, so existing OpenAI SDK clients can switch by changing only the base URL and API key.
  version: 1.0.0
  contact:
    name: CometAPI
    url: https://www.cometapi.com/
servers:
- url: https://api.cometapi.com/v1
  description: Production
security:
- bearerAuth: []
tags:
- name: Embeddings
  description: Vector embeddings for retrieval and similarity.
paths:
  /embeddings:
    post:
      operationId: createEmbedding
      summary: Create embedding
      description: Generate vector embeddings for text input.
      tags:
      - Embeddings
      requestBody:
        required: true
        content:
          application/json:
            schema:
              type: object
              required:
              - model
              - input
              properties:
                model:
                  type: string
                input:
                  oneOf:
                  - type: string
                  - type: array
                    items:
                      type: string
      responses:
        '200':
          description: Embedding response.
components:
  securitySchemes:
    bearerAuth:
      type: http
      scheme: bearer
      bearerFormat: JWT
externalDocs:
  description: CometAPI Documentation
  url: https://apidoc.cometapi.com/