"""NFT Wash Trading Detector — detects fake volume in NFT collections.""" import os from fastapi import APIRouter, Query router = APIRouter(prefix="/api/v1/nft-detector", tags=["nft-detector"]) BACKEND = os.getenv("BACKEND_URL", "http://localhost:8000") RMI_KEY = os.getenv("RMI_INTERNAL_KEY", "rmi-internal-2026") @router.get("/check/{collection_address}") async def check_nft_wash(collection_address: str, chain: str = Query("ethereum")): """Check NFT collection for wash trading patterns.""" # Use DataBus volume authenticity engine with NFT-specific heuristics score = 85 # Placeholder — real implementation queries DataBus # NFT-specific wash trading patterns patterns = [] patterns.append({"pattern": "Self-trades", "description": "Same wallet buying and selling", "detected": False}) patterns.append({"pattern": "Round-trip", "description": "A→B→A within minutes", "detected": False}) patterns.append({"pattern": "Bid stuffing", "description": "Fake bids to inflate floor price", "detected": False}) patterns.append( {"pattern": "Wash pool", "description": "Group of wallets trading among themselves", "detected": False} ) if score < 30: risk = "CRITICAL" emoji = "🔴" elif score < 60: risk = "HIGH" emoji = "🟡" elif score < 80: risk = "MEDIUM" emoji = "⚪" else: risk = "LOW" emoji = "🟢" return { "collection": collection_address, "chain": chain, "authenticity_score": score, "risk": risk, "emoji": emoji, "wash_patterns": patterns, "recommendation": "Likely authentic trading" if score >= 80 else "Suspicious activity detected — verify before buying", } @router.get("/floor-check/{collection_address}") async def check_floor_manipulation(collection_address: str, chain: str = Query("ethereum")): """Check if NFT floor price is being manipulated.""" return { "collection": collection_address, "floor_price_eth": 0.0, "bid_ask_spread_pct": 0, "suspicious_bids_24h": 0, "manipulation_risk": "LOW", "note": "NFT data providers integration pending", }