
Sam 3 1
Edits a video you give it
Liveby fal
SAM 3.1 builds comes with Object Multiplex, a shared-memory approach for joint multi-object tracking that delivers faster speeds with larger number of objects tracked.
Ask your agent
Say it in your own words. Your agent picks this tool, fills in the details and brings back the answer.
Use Sam 3 1 to make this clip look like it was shot at night.
Change the background of this video to a beach.
Reviews
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How it works
- Connect your agent onceWorks with Claude, ChatGPT, Codex and other AI agents. How to connect
- Ask in your own wordsYour agent picks the right tool and fills in the details for you.
- Pay only when it worksEach use comes out of your balance. If it fails, you aren't charged.
For developersSummary, tool id, API call and input schema
Video API by fal, callable through Superpowers. It costs $0.011 per video, charged only when the call succeeds. Call it with one API key: POST /v1/run with "tool": "fal.sam-3-1-video-rle", or over MCP with run_tool.
- Tool id
- Price per call
- $0.011 / video
Call it
Also over MCP asrun_toolcurl -X POST https://superpowers.tools/v1/run \
-H 'Authorization: Bearer $SP_KEY' \
-d '{"tool":"fal.sam-3-1-video-rle","input":{"video_url":""},"idempotency_key":"example-request-1"}'Input
11 fields · 1 required{
"type": "object",
"required": [
"video_url"
],
"properties": {
"point_prompts": {
"type": "array",
"description": "List of point prompts with frame indices.",
"default": []
},
"video_url": {
"type": "string",
"description": "The URL of the video to be segmented."
},
"max_num_objects": {
"type": "integer",
"description": "Maximum number of objects to track in the video.",
"default": 16
},
"boundingbox_zip": {
"type": "boolean",
"description": "Return per-frame bounding box overlays as a zip archive.",
"default": false
},
"prompt": {
"type": "string",
"description": "Text prompt for segmentation. Use commas to track multiple objects (e.g., 'person, cloth').",
"default": ""
},
"mask_url": {
"type": "string",
"description": "The URL of the mask to be applied initially."
},
"apply_mask": {
"type": "boolean",
"description": "Apply the mask on the video.",
"default": false
},
"return_object_rles": {
"type": "boolean",
"description": "Also return every tracked object's own mask in each frame, with an id the object keeps for the whole video. The merged rle is returned as before.",
"default": false
},
"detection_threshold": {
"type": "number",
"description": "Detection confidence threshold (0.0-1.0). Lower = more detections but less precise. Defaults: 0.5 for existing, 0.7 for new objects. Try 0.2-0.3 if text prompts fail.",
"default": 0.5
},
"box_prompts": {
"type": "array",
"description": "List of box prompts with optional frame_index.",
"default": []
},
"frame_index": {
"type": "integer",
"description": "Frame index used for initial interaction when mask_url is provided.",
"default": 0
}
}
}