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entry point\n├── config.py                ← API keys + config\n├── database.py              ← SQLite database setup\n├── models.py                ← Pydantic data models\n├── requirements.txt         ← Python dependencies\n├── .env                     ← API keys (never committed)\n├── .env.example             ← Template for env setup\n│\n├── agents/                  ← CrewAI multi-agent system\n├── services/\n│   ├── analyzer.py          ← Main fraud analysis logic\n│   ├── ai_analyzer.py       ← LLM-powered analysis\n│   ├── blockchain.py        ← Etherscan + Alchemy calls\n│   ├── chainabuse.py        ← ChainAbuse fraud reports\n│   ├── monitor.py           ← Live transaction monitor\n│   ├── monitor_state.py     ← Monitor state management\n│   ├── index.html           ← Main analysis page\n│   ├── history.html         ← Search history page\n│   ├── live_monitor.html    ← Live monitoring page\n│   ├── ai_agent.html        ← AI agent page\n│   └── ai_training.html     ← Model training page\n│\n├── models/\n│   ├── fraud_model.pkl      ← Trained XGBoost model\n│   └── feature_names.pkl    ← Feature names for model\n│\n└── training/\n    ├── train_model.py       ← Model training script\n    ├── prepare_dataset.py   ← Dataset preparation\n    ├── auto_trainer.py      ← Automated retraining\n    └── training_data.csv    ← Training dataset"}]}}