Muapi models

Muapi is one API (x-api-key) in front of 500+ models: image, video, audio and speech, lipsync, 3D, LLM text, SEO/data tools, social publishing and utilities. Provider names are hidden; you only see Muapi model names, categories, schemas and costs. Model names are read live, so new models work immediately. Never rely on a remembered model list.

Workflow: discover -> inspect -> estimate -> run -> poll -> download.

Setup

1. Create a key at https://muapi.ai/dashboard (or a free sandbox key, see below).
2. Export it and restart your agent from that same shell:
   • macOS/Linux: export MUAPI_API_KEY=your_key
   • Windows PowerShell: $env:MUAPI_API_KEY = "your_key" and setx MUAPI_API_KEY "your_key"
3. Keep the key in the environment only. Never write it into project files, commits or chat.

Sandbox key (returns mock outputs instantly, no credits spent), useful for testing a flow:

curl -s -X POST https://api.muapi.ai/api/v1/keys -H "Content-Type: application/json" -d '{"is_test": true}'

Auth is always the x-api-key: $MUAPI_API_KEY header. If the muapi CLI is installed (pip install muapi-cli or npm i -g muapi-cli) prefer it, since it handles upload, polling and --output-json. Otherwise use the HTTP calls below (curl; on Windows PowerShell use curl.exe).

Rules

• User instructions first, then any tool they already configured, then Muapi.
• Always inspect before you run. Never guess fields or endpoint paths; schemas change.
• Estimate cost before spending credits on anything non-trivial; check balance if no budget was given.
• Submit, then poll every 3-10 seconds. Don't hold one long request open.
• On failed, show the error field verbatim. Don't silently retry.
• Name the model explicitly if the user did; otherwise state which model you picked and why.

1. Discover

curl -s "https://api.muapi.ai/api/v1/models?category=Text%20to%20Image"
curl -s "https://api.muapi.ai/api/v1/models?family=seo"

There is no free-text search param: fetch a category and filter client-side by name/description, and try a few keyword variants. Categories: Text to Image, Image to Image, Text to Video, Image to Video, Video to Video, Audio to Video (lipsync), Text to Audio, Image to 3D, Text to 3D, Text to Text (LLMs and data tools), Lora Support, Training. CLI: muapi discover "cinematic image to video" --output-json

2. Inspect

curl -s "https://api.muapi.ai/api/v1/models/{name}"

Returns the input schema (required fields, allowed values, defaults), pricing and the real endpoint to POST to. CLI: muapi inspect {name} --output-json

3. Estimate cost

curl -s -X POST "https://api.muapi.ai/api/v1/models/{name}/estimate-cost" \
  -H "Content-Type: application/json" -d @payload.json

Same body you would send to run it. Balance: GET /api/v1/account/balance (CLI: muapi account balance).

4. Upload input files

Models that take an image, video or audio need a hosted URL. Upload local files first:

curl -s -X POST https://api.muapi.ai/api/v1/upload_file \
  -H "x-api-key: $MUAPI_API_KEY" -F "file=@./input.png"

Limits: images 10MB, videos 50MB. CLI: muapi upload file ./input.png --output-json

5. Run

POST to the endpoint from step 2 (never a path you assumed):

curl -s -X POST "https://api.muapi.ai{endpoint}" \
  -H "x-api-key: $MUAPI_API_KEY" -H "Content-Type: application/json" -d @payload.json
# -> {"request_id": "...", "status": "processing"}

CLI: muapi run {name} --input payload.json --no-wait --output-json

6. Poll

curl -s "https://api.muapi.ai/api/v1/predictions/{request_id}/result" -H "x-api-key: $MUAPI_API_KEY"

status is processing, completed or failed. On completed, outputs is an array of URLs. CLI: muapi runs get {request_id} --wait --output-json

7. Save results

Result URLs are kept for 30 days, then expire. As soon as a task completes, download every output to the location the user asked for (for example ./public/hero.png) and tell them the path:

curl -L -o ./public/hero.png "{output_url}"

If the user wants it in their app, write the integration code instead of just a file.

Writing good requests

Ask for or infer: the output destination, a specific model if they have a preference, and key parameters (aspect ratio, resolution, duration). Examples:

• "Make a 1:1 product photo of a white ceramic mug with Muapi, save to ./public/mug.png"
• "Generate a 30 second lo-fi background track with Muapi"
• "Turn README.md into a spoken intro with a Muapi speech model"

Troubleshooting

Other interfaces

OpenAPI: https://api.muapi.ai/openapi.json · MCP: https://muapi.ai/.well-known/mcp.json · Human docs: https://muapi.ai/agent-skills