merge: chore/cleanup-remove-bloat-and-secrets into main

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Crypto Rug Munch 2026-07-02 01:24:22 +07:00
commit bde2f3a97d
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"""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",
}