CometAPI

Name: CometAPI API
Brand: CometAPI
Availability: InStock

★ Only Publicly Available OpenAPI DocumentAI/MLLanguage Modelsbearer8 EndpointsREST

For Agents

Call 500+ language, embedding, image, and audio models through one OpenAI-compatible endpoint with a single bearer token.

Install Jentic One Beta

Connect the CometAPI to your agent

Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the CometAPI, or any other public or private API you need. You set the rules, the agent never sees your credentials, and every call is logged.

Two steps, two machines. Install the instance in a safe environment, then register your agent from wherever it runs.

Step 1: Jentic One Host machine

# On the machine that will host your Jentic One instance:
curl -fsSL "https://jentic.com/install.sh?src=apis&api=%2Fapis%2Fcometapi.com%2Fcometapi" | sh

Step 2: Agent machine

# On the machine where your agent runs (keep this separate from the instance):
curl -fsSL "https://jentic.com/install.sh?src=apis&api=%2Fapis%2Fcometapi.com%2Fcometapi" | sh
jentic register       # connects your agent to your Jentic One instance

Jentic One is in public beta. The setup above keeps your agent separate from the instance, which is what you want before using real credentials: an agent running as the same OS user as Jentic One can read its stored keys directly. Just evaluating? A single local install is fine to start. See the secure deployment guide for the tiers.

Capabilities

What an agent can do with CometAPI API.

Generate chat completions across 500+ models via POST /chat/completions

Create vector embeddings via POST /embeddings for retrieval and semantic search

Generate images from text prompts via POST /images/generations

GET STARTED

Start building with CometAPI API

Explore with Jentic

View OpenAPI Document

Use Cases

Patterns agents use CometAPI API for, with concrete tasks.

★ Multi-Model A/B Routing

Route the same prompt to GPT-4, Claude, and Gemini through CometAPI's /chat/completions endpoint by changing only the model field. This makes it cheap to evaluate which model gives the best result for a specific task type without integrating three separate provider SDKs and three separate billing relationships.

Send the same prompt to /chat/completions three times with model values gpt-4o, claude-3-5-sonnet, and gemini-1.5-pro and return all three responses

Embeddings Pipeline for RAG

Use POST /embeddings to vectorise a corpus of documents, then store the vectors in a downstream vector database for retrieval-augmented generation. Because CometAPI is OpenAI-compatible, existing LangChain, LlamaIndex, or custom RAG code that targets the OpenAI embeddings shape can point at CometAPI by changing only base URL and key.

Embed a list of 50 documents via /embeddings using the text-embedding-3-large model and return one vector per input

Voice Note Transcription Bot

Build a Slack or Telegram bot that accepts voice notes and replies with a text transcript by uploading the audio to POST /audio/transcriptions. Combine with /audio/speech to produce spoken replies. The OpenAI-compatible shape means existing Whisper-based code can be reused without changes beyond auth.

Upload an mp3 file to /audio/transcriptions and return the transcribed text

AI Agent Model Selection via Jentic

An AI agent connected to Jentic can pick the right CometAPI model at runtime: search Jentic for the chat completion operation, list available models via /models, and execute against the chosen one. Jentic stores the bearer token in your Jentic One instance so the agent never sees the raw key.

Search Jentic for 'send a chat completion through cometapi', load the operation, and execute with model gpt-4o and a user message

Key Endpoints

8 endpoints — jentic publishes the only available openapi specification for cometapi, keeping it validated and agent-ready.

METHOD

PATH

DESCRIPTION

POST

/chat/completions

Create a chat completion

POST

/completions

Create a text completion

POST

/embeddings

Create vector embeddings

GET

/models

List available models

GET

/models/{model}

Get model details

POST

/images/generations

Generate an image from a prompt

POST

/audio/transcriptions

Transcribe audio to text

POST

/audio/speech

Generate speech from text

POST

/chat/completions

Create a chat completion

POST

/completions

Create a text completion

POST

/embeddings

Create vector embeddings

GET

/models

List available models

GET

/models/{model}

Get model details

POST

Why Jentic?

What agents get from Jentic-routed access to this vendor.

Setup

Wiring CometAPI by hand means setting its bearer token on the api.cometapi.com host and handling its OpenAI-compatible chat, embedding, image, and audio endpoints across multiple model providers yourself. Through Jentic you install once, import CometAPI from the API Directory, store the token once, and your agent calls it.

Permission scoping

CometAPI takes the model and prompt target in the request body, so you scope by operations: limit the agent to the calls it needs, such as chat completions or embeddings, so operations like image or speech generation are not included unless you add them.

Credential isolation

Your CometAPI bearer token is stored once, encrypted, by your own Jentic One instance and injected at execution time. It never enters the agent's prompt, logs, or context.

Intent-based discovery

Agents search Jentic by intent such as 'send a chat completion' or 'create text embeddings', and Jentic returns the matching CometAPI operation with its input schema so the agent calls the right endpoint without browsing the reference docs.

FAQs

Specific to using CometAPI API through Jentic.

Why is there no official OpenAPI spec for CometAPI?

CometAPI does not publish an OpenAPI specification. Jentic generates and maintains this spec so that AI agents and developers can call CometAPI via structured tooling. It is validated against the live API and kept up to date. Get started with Jentic One, the self-hosted execution layer.

What authentication does CometAPI use?

CometAPI uses a bearer token in the Authorization header (Authorization: Bearer <key>), matching the OpenAI auth shape. Through Jentic the key is stored in your Jentic One instance and never enters the agent's context.

Is CometAPI really OpenAI-compatible?

Yes. The /chat/completions, /completions, /embeddings, /images/generations, and /audio/* endpoints follow the same request and response shape as the OpenAI v1 API, so OpenAI client libraries work by overriding base_url to https://api.cometapi.com/v1.

Can I switch models without changing my code?

Yes. Send the model field in the /chat/completions body to route to a different underlying model. Use GET /models to list every model available on your CometAPI key.

What are the rate limits for CometAPI?

Rate limits depend on the plan tier and the underlying model. CometAPI returns 429 with a Retry-After header when limits are hit; clients should back off and retry. Heavy embeddings or image workloads should be batched.

How do I send a chat completion through Jentic?

Search Jentic for 'send a chat completion through cometapi', load the schema for POST /chat/completions, and execute with model and messages. The Jentic Python SDK pattern is await client.search(...), await client.load(...), await client.execute(...).

CometAPI

Connect the CometAPI to your agent

Capabilities

Start building with CometAPI API

Use Cases

Key Endpoints

Why Jentic?

Related APIs

FAQs