Coming Soon

MusicMind API

cited research sources. 14 cognitive layers. 30+ data dimensions per track. One REST endpoint. Bring science-backed music analysis to your platform.

Live Endpoint Preview

curl request

curl -X POST https://api.zeltorlabs.com/v1/analyze \
  -H "Authorization: Bearer mm_sk_..." \
  -H "Content-Type: application/json" \
  -d '{
    "audio_url": "https://example.com/track.mp3",
    "features": ["key", "bpm", "genre", "sections", "emotion"]
  }'

Response

{
  "track_id": "tr_8f3a...",
  "key": { "root": "Am", "mode": "minor", "confidence": 0.94 },
  "bpm": 128,
  "genre": { "top": "electronic", "confidence": 0.87 },
  "sections": [
    { "label": "intro", "start": 0.0, "end": 16.2 },
    { "label": "verse", "start": 16.2, "end": 48.5 },
    { "label": "chorus", "start": 48.5, "end": 80.1 }
  ],
  "emotion": {
    "valence": 0.72,
    "energy": 0.85,
    "journey_type": "hero-arc"
  },
  "credits_used": 1
}

Use Cases

DAW Integration

Auto-detect key, BPM, and sections to enrich project metadata.

Catalog Enrichment

Tag thousands of tracks with genre, mood, and energy profiles at scale.

Music Education

Analyze student compositions for harmonic complexity and structure.

Quality Assessment

Score mix quality, dynamic range, and production sophistication.

Endpoint Reference

Method	Endpoint	Description
POST	/v1/analyze	Submit a track for analysis
GET	/v1/tracks/{id}	Retrieve analysis results
GET	/v1/tracks/{id}/sections	Get section timestamps and energy
GET	/v1/tracks/{id}/chords	Get chord timeline with confidence
GET	/v1/tracks/{id}/emotion	Get emotional arc and journey type
GET	/v1/usage	Check credit balance and usage
POST	/v1/webhooks	Register webhook for async results

Access

Platform

✓ZLMID licensing
✓API access
✓Scoped to your catalog and use case
✓Access is a conversation, not a checkout

Join the API Waitlist

Be first to build with MusicMind. Early access developers get first access when the API opens.