Muapi
Vadoo Internet Services Private Limited · Video
Muapi is a generative media API platform that reaches 250+ image, video, audio and 3D models through one key, one request pattern and pay-per-generation pricing.
About Muapi
What Is Muapi
Muapi is a unified API for generative media. It puts more than 100 third-party AI models behind one endpoint, so teams call a single interface instead of wiring up a dozen provider SDKs, each with its own auth scheme, request shape and billing model. The catalog spans text-to-image, image editing, text-to-video, image-to-video, video editing, lipsync, audio and music generation, and 3D model generation, including names like Flux, Veo 3, Kling, Seedance, Runway, GPT-Image, Suno and Midjourney.
The product solves an integration problem more than a model problem. If you want to add media generation to an app, the usual path is a separate signup, key and pricing table for every provider you try. Muapi collapses that into one account and one submit-then-poll pattern, and it bills per generation with no subscription requirement.
The tradeoff is developer-only access. Muapi lives behind an HTTP API, a CLI and an MCP server, so it suits people building software, not anyone wanting a click-to-generate app. Model lists and parameters move often, so you check the live catalog rather than rely on an old example.
Getting Started
- Create an account at muapi.ai and generate an API key from your dashboard.
- Pick a model from the catalog or the Playground and read its endpoint, required inputs and price.
- Send a POST request to the model endpoint with your key and a JSON body, then save the returned request_id.
- Poll GET /api/v1/predictions/{request_id}/result until the task completes or fails, or set a webhook for the result.
- Read the per-request cost object, or the X-MuAPI-Cost headers, to track what each call spends from your wallet.
Product Information
A quick look at Muapi's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Backend and full-stack developers adding media generation
- Startup teams building image or video features
- AI agent builders that need to generate media mid-workflow
- Product and content teams prototyping ideas
- Agencies and internal tools teams that juggle several providers
Tasks
- Generating images from text
- Editing existing images
- Creating and editing video
- Generating music and speech
- Chaining models into pipelines
Scenarios
- Launching a content tool on a lean budget
- Adding generation to a coding agent
- Building a marketing or design pipeline
- Testing many models before committing
Key features
One API across many model providers
Muapi puts 250+ models from providers like OpenAI, Google, Kling, ByteDance, Black Forest Labs, Runway, MiniMax and Suno behind a single endpoint pattern. You send a POST to the model endpoint and poll one predictable result path. That replaces a stack of provider SDKs, each with its own auth and request shape, with one key and one mental model. For teams pursuing a unified AI API, the setup work drops sharply.
Submit-then-poll request pattern
Every generation follows the same shape: submit a job, get a request_id, then poll for the result. The pattern holds across image, video, audio and 3D models, so you learn it once and reuse it everywhere. Jobs move through queued, processing and completed states, and you can wait on the poll or set a webhook. That consistency is what makes the platform easy to automate.
Pay-per-generation billing
There's no subscription requirement. Each request returns a cost object with the USD amount, the credit amount and any bonus credits used, and the same figures come back as response headers. You can read spend without a separate pricing lookup. Failed tasks can be refunded, so a broken generation doesn't quietly drain the wallet.
Sandbox mode for testing
Sandbox keys let you test an integration without spending credits or firing real generation. Jobs complete instantly with mock data, drawn from the model's example image or media. Real background workers stay off, so there are no side effects. That's useful for wiring an app before you trust it with live calls and real money.
Playground, workflows and integrations
A browser Playground tests any model without code. A visual workflow builder chains models into pipelines, and integrations with n8n and ComfyUI plug Muapi into tools teams already use. You can start with a manual test and grow into an automated pipeline without switching platforms. The workflow layer is what turns single calls into repeatable production jobs.
Agent access through MCP and CLI
Muapi ships a Model Context Protocol server, agent skills and a command-line tool. Coding agents and terminal users can reach the models and generate media as part of a larger task. The CLI also opens docs and the OpenAPI spec, so an agent can discover and call endpoints programmatically. That fit with agent tooling is a differentiator for teams building on top of assistants.
Pros and cons
Pros
- Reaches 250+ models from one account and one request pattern, which cuts the number of provider SDKs a project depends on.
- Bills per generation with no subscription, so you pay for the calls you make rather than a flat monthly fee.
- Returns per-request cost in the response and headers, which removes guesswork about what each call spent.
- Ships a Playground, workflow builder, MCP server and CLI, so manual testing and agent use are covered in the same platform.
- Offers sandbox keys that run without spending credits, which makes integration testing cheap and fast.
Cons
- Works only through an API, CLI or MCP, so it's not for anyone wanting a visual, no-code generation tool.
- Lists show per-model rates that the company compares against Fal.ai and Replicate, so costs still add up across many calls.
- Model names and parameters change over time, which means old example IDs can break and you have to recheck the catalog.
- The catalog sits behind third-party providers, so availability and latency depend on those upstream services.
Frequently asked questions
Muapi is used to add generative media to software. It gives developers one API to generate or edit images, create and edit video, and produce music or speech through many models. It's aimed at teams building image and video features, content tools and AI agents that generate media as part of a workflow.
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