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HALOWERK medienwerk — Frame-Quantized Cue Detection
x402
HALOWERK medienwerk — Frame-Quantized Cue Detection is a paid API for AI agents from medien.halowerk.com, paid per call via x402, $0.031/call, status unknown (last checked 2026-10-10).
Analyzes a video file and returns quantized frame-level cue points where significant visual changes occur, suitable for scene detection and chapter marking.
Price / call$0.031
Success—
StatusUnknown
How this service works
HALOWERK medienwerk — bezahlte Endpunkte nach x402. Preise in USDC auf Base Mainnet.
Output
A JSON response listing quantized frame-level cue points with timestamps indicating where significant visual changes occur in the video, suitable for scene segmentation, chapter marking, and navigation.
Example use cases
Automated chapter marker generation
“Take this lecture video at https://cdn.university.edu/lecture42.mp4 and find all the quantized scene-change cue points so I can automatically generate chapter markers for the video player.”
Video editing cut detection
“I need to find all the frame-level cut points in this raw footage at https://media.studio.com/raw_edit.mp4 — give me the quantized cue timestamps so my editor knows where each scene transition is.”
Highlight reel segmentation
“Analyze this sports match video at https://storage.example.com/match_full.mp4 and return the quantized frame cue points for every significant visual change, so I can split it into individual highlight clips.”
Technical details
Endpoint
POSThttps://medien.halowerk.com/v1/baumarkt/media/frame-quantized-cues?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need frame-accurate, quantized scene-change cue points from a video — particularly for chapter generation, editing workflows, or navigation metadata. It is distinct from simple scene detection in that it returns quantized (discretized) frame boundaries rather than raw continuous timestamps, making it ideal for player chapter markers or fixed-interval segmentation tasks.
Side effects
- Video URL is unreachable or returns a non-200 response
- Base64 payload is malformed or exceeds size limits
- Video format is unsupported by the processing pipeline
- SSRF-safe redirect checks block the provided URL
- Quantization parameters are invalid or out of range
- Payment authorization fails or USDC balance is insufficient
Output
Schema · Response
{
"type": "json"
}Tags
x402
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