API Reference
Explore comprehensive endpoints for our privacy-first open-source projects - Quantum Leap AI Framework and Starlight Game Engine.
🔐 Quantum Leap AI Framework API
POST /models/train
Train a new AI model with privacy-first encryption
{
"model_type": "quantum-neural",
"data_source": "encrypted://dataset-1234",
"epochs": 50,
"privacy_level": "zero-knowledge"
}
- • Supports FHE (Fully Homomorphic Encryption)
- • Auto-generates privacy compliance reports
- • Built-in model auditing endpoint
GET /models/{id}/audit
Retrieve model audit trail
Query Parameters:
?format=json
Example Response
{
"model_id": "QL-M-20250315",
"audit_steps": ["data_cleaning", "training", "validation"],
"privacy_score": 93.7,
"timestamp": "2025-03-15T14:30:00Z"
}
🎮 Starlight Game Engine API
POST /physics/simulate
Run physics simulation
{
"scene_id": "game-0325-1",
"duration": "60s",
"resolution": "realtime",
"objects": ["player", "enemy1", "enemy2"]
}
- • Supports up to 100k simultaneous calculations
- • Cross-platform compatibility (Unity/Unreal)
- • Live simulation preview endpoint available
GET /engine/benchmarks
Retrieve performance stats
Query Parameters:
?platform=android
Example Response
{
"fps": "144 avg",
"load_time": "28ms",
"platform": "android",
"timestamp": "2025-03-15T14:30:00Z"
}
Interactive API Explorer
Test endpoints live with our sandbox environment. All requests use test data with no real systems affected.
🧪 Open in GitHub Sandbox