{"version":1,"resources":["https://gpartin--waveguard-api-fastapi-app.modal.run/v1/scan","https://gpartin--waveguard-api-fastapi-app.modal.run/v1/fingerprint","https://gpartin--waveguard-api-fastapi-app.modal.run/v1/compare"],"instructions":"# WaveGuard — Physics-Based Data Intelligence\n\nAI-agent anomaly detection, fingerprinting, and similarity analysis powered by wave-equation dynamics on a 3D lattice GPU solver.\n\n## Endpoints\n\n**POST /v1/scan** — Anomaly detection: send training + test data, get risk scores.\n\n**POST /v1/fingerprint** — Physics embedding of any data (52-dim L0, 62-dim L1).\n\n**POST /v1/compare** — Structural similarity between two data items.\n\nAll endpoints also respond to **GET** with 402 payment requirements.\n\n## Pricing\n\n- **10 free calls/month** (no payment needed)\n- After free tier: **$0.01 per call** via USDC on Base\n\n## Use Cases\n\n- Token risk scoring (pump-and-dump detection)\n- Wallet behavior profiling (bot/sybil detection)\n- Volume authenticity checks (wash trading)\n- Price manipulation detection in time-series\n- Data drift monitoring and fingerprint comparison\n\n## Quick Example\n\n```json\n{\"training\": [{\"price\": 100}, {\"price\": 101}], \"test\": [{\"price\": 100}, {\"price\": 999}]}\n```\n\n## Links\n\n- Docs: https://github.com/gpartin/WaveGuardClient\n- PyPI: https://pypi.org/project/waveguard/\n"}