glitch_point_cloud
shallowtech.kyanitelabs/kinocut · Verify this server
Apply point cloud rendering effect (requires Node.js + GPU). Samples the image as scattered points arranged in a 3D-rotated grid, with depth-based displacement creating a volumetric look. Args: input_path: Absolute path to input video. output_path: Absolute path for output video. density: Point sampling density (0-1). Default 0.5. point_size: Size of each point. Default 2.0. rotation: 3D rotation angle in degrees. Default 0.0. depth: Depth displacement intensity. Default 1.0. Returns: Dict with success status and output_path.
1 trials · measured today
glitch_point_cloud scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against tech.kyanitelabs/kinocut, measured 20 Oct 2026 under methodology v0.2.0. Every measured component scored 100.
Component breakdown
| Component | Weight | Value |
|---|---|---|
| Reliability | 35% | not applicable |
| Schema integrity | 25% | 100.0 |
| Failure behaviour | 15% | not applicable |
| Latency | 15% | not applicable |
| Concurrency | 10% | not applicable |
Tool details
- Transport
- remote
- Credential class
- self-provisionable
- Input schema
- not declared
- Output schema
- not declared
- Side-effect classification
- unclassified
Score history
| Day | Score | Tier | Methodology |
|---|---|---|---|
| 2026-10-20 | 100.0 | shallow | v0.2.0 |
Probe evidence
| Probe | Outcomes |
|---|---|
| schema_integrity | pass: 1 |
Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.
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[](https://vouch.tools/tools/424a2690-7de6-48b4-a502-9b4a919b2bde)