Kling 3.0 Motion Control Standard API: AI Video Editing

Kling 3.0 Motion Control Standard API Reference

Endpoint

POST https://api.muapi.ai/api/v1/kling-v3.0-std-motion-control

Submit a job with your MuApi API key in the x-api-key header, then poll https://api.muapi.ai/api/v1/predictions/{request_id}/result until status is completed.

Parameters

Name	Type	Required	Description
prompt	string	No	Text prompt describing the desired motion.
image_url	string	Yes	URL of the input image.
video_url	string	Yes	URL of the input video.
character_orientation	string	No	Hint: When character_orientation is ”video“: maximum 30 seconds,When character_orientation is “image”: maximum 10 seconds.Options: image, videoDefault: "image"
keep_original_sound	boolean	No	Select whether to keep the video original sound through the parameter.Default: true

cURL example

REQUEST_ID=$(curl -s -X POST https://api.muapi.ai/api/v1/kling-v3.0-std-motion-control \
  -H "x-api-key: $MUAPI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"image_url":"https://example.com/your-image_url","video_url":"https://example.com/your-video_url"}' | jq -r .request_id)

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

Python example

import os, time, requests

API = "https://api.muapi.ai/api/v1"
headers = {"x-api-key": os.environ["MUAPI_API_KEY"]}

r = requests.post(f"{API}/kling-v3.0-std-motion-control", headers=headers, json={"image_url":"https://example.com/your-image_url","video_url":"https://example.com/your-video_url"})
request_id = r.json()["request_id"]

while True:
    res = requests.get(f"{API}/predictions/{request_id}/result", headers=headers).json()
    if res["status"] == "completed":
        print(res["outputs"]); break
    if res["status"] == "failed":
        raise RuntimeError(res.get("error"))
    time.sleep(3)

Full docs and agent/MCP integration: llms.txt. Get an API key at muapi.ai/access-keys.