animate3DModelPreset
shallowai.ludo/game-assets · Verify this server
Apply a curated animation preset to an already-rigged 3D model (retargeting). Pass the rigged GLB in `model` (URL or base64) and a `preset_id` from the animation presets list (see the spritesheet animation-presets endpoint) — only presets that expose a `clip_url` can be applied to a 3D model. The model must have a humanoid-template rig (rig it with rig_type humanoid_template or humanoid_template_hands). Synchronous: returns one retargeted animation — a standalone animation-only GLB in `glb_url` plus an mp4 `preview_url` — in the same `animations` envelope as the animate endpoint. crop_loop trims the clip to its seamlessly-looping span (omit to follow the preset's own loop flag); in_place removes net travel so the character moves on the spot, as game-engine locomotion expects (omit to follow crop_loop). Credits are charged only on success. Requires an API key (user scope). Credits: This endpoint consumes 0.2 credits per call.
1 trials · measured 8 days ago
animate3DModelPreset scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against ai.ludo/game-assets, measured 25 Aug 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 |
|---|---|---|---|
| 2026-08-25 | 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/c7dc7442-2019-47c1-8bf9-87388df6bb1d)