One unified media API for your product and agents

Use one Cyberbara API

Integrate image, video, audio, and music generation through one consistent API. You can call it directly from your backend or hand the same workflow to Codex, Claude Code, or OpenClaw.

Copy this request first and verify your API is working
curl -X GET "https://cyberbara.com/api/v1/models?mediaType=image" \ -H "Authorization: Bearer <your_api_key>"

Start with model discovery, then expand into uploads, credit quotes, task creation, and result polling.

Works across the AI companies, services, and agents you already use

Keep the same visual structure as /skill, but position this page around direct API integration. You can wire your backend first, then decide whether agents should execute the same workflow.

Claude Code
Claude Code
Codex
Codex
Claude
Claude
GPT / OpenAI
GPT / OpenAI
Cursor
Cursor
LobeHub
LobeHub
OC
OpenClaw

One API covers the full media generation workflow

This is not just a single model endpoint. It unifies model discovery, uploads, quoting, task creation, and result retrieval into one public API surface.

List public models

Browse image, video, audio, and music models through one entry point instead of maintaining separate vendor references.

Upload reference images and videos

Upload assets once, then reuse the returned URLs in later generation tasks.

Quote credits first

Estimate cost before you create a task so budgets stay predictable during batch runs.

Create tasks and poll results

Use one consistent task flow for status, errors, and output URLs across models.

The simplest integration path

Get an API key, verify one request, then decide whether you want to wire the backend yourself or let an agent run the same workflow.

01

1. Get your free API key

Start by verifying authentication against the unified public API.

02

2. Validate one request

The model list endpoint is the easiest starting point, then you can move into uploads, quotes, and task creation.

03

3. Connect your code or agent

Write the integration yourself first, then plug it into your existing automation once the API path is stable.

How people usually use this API

Start with the smallest proof request, then extend into a production-ready media pipeline with the same structure as /skill but API-specific content.

Open API docs
List Models

List available models before choosing your media workflow

Upload Assets

Upload image and video references, then reuse the URLs in tasks

Quote Credits

Quote credits before deciding whether to run at scale

Integrate

Reuse the same API key across scripts, backends, and queue workers

Manual Integration

Use this exact three-step flow: get an API key, verify one endpoint, then connect the API to your code or agent workflow.

1

Get your free API key

Claim a free Cyberbara API key first. Once you have it, verify authentication with the smallest possible request.

export CYBERBARA_API_KEY="<your_api_key>"
Get free API key
2

Call your first endpoint

The model list endpoint is the fastest way to validate connectivity. After that, expand into uploads, credit quotes, and task creation.

curl -X GET "https://cyberbara.com/api/v1/models?mediaType=image" \
  -H "Authorization: Bearer <your_api_key>"
3

Connect the API to your code or product

Next you can call /uploads, /tasks/quote, /tasks, and /tasks/{id} and wire them into your backend flow.

A) Example image-task flow
1. GET /api/v1/models?mediaType=image
2. POST /api/v1/uploads/image to get a reference URL
3. POST /api/v1/tasks/quote to estimate credits
4. POST /api/v1/tasks to create the job
5. GET /api/v1/tasks/{taskId} to poll status and result

FAQ

The practical questions that matter before you wire this into production.

Verify the API first, then choose whether to wire it yourself or use an agent

If you want a single media generation interface across models and media types, this page gives you the shortest path to a working setup.