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