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

app/domain/x402/tools/__init__.py

@@ -0,0 +1,157 @@
+"""x402 tools registry - main entry point for x402 tool implementations.
+
+Per v4.0 §T26. Provides a unified interface to all x402-powered tools.
+Tools are delegated to domain/x402/tools/*.py for organization.
+
+Registry shape:
+  tools = {
+    "tool_name": {
+      "function": async function,
+      "free_tier": bool,
+      "pro_cents": int | None,
+      "ent_cents": int | None,
+      "description": str,
+    }
+  }
+"""
+
+from app.domain.x402.tools.label_tools import get_entity_labels, get_wallet_labels
+from app.domain.x402.tools.market_tools import get_market_overview, get_trending
+from app.domain.x402.tools.news_tools import get_news, get_news_sentiment
+from app.domain.x402.tools.report_tools import generate_report, get_report
+from app.domain.x402.tools.scanner_tools import get_scan_result, run_scan
+from app.domain.x402.tools.token_tools import get_token_info, get_token_risk
+from app.domain.x402.tools.wallet_tools import get_wallet_analysis, get_wallet_history
+
+# Tool registry
+TOOLS = {
+    "get_token_risk": {
+        "function": get_token_risk,
+        "free_tier": True,
+        "pro_cents": 50,
+        "ent_cents": 40,
+        "description": "Analyze token for rug pull indicators, honeypots, mintability",
+    },
+    "get_token_info": {
+        "function": get_token_info,
+        "free_tier": True,
+        "pro_cents": 10,
+        "ent_cents": 8,
+        "description": "Get basic token metadata (name, symbol, supply, holders)",
+    },
+    "get_wallet_analysis": {
+        "function": get_wallet_analysis,
+        "free_tier": False,
+        "pro_cents": 200,
+        "ent_cents": 150,
+        "description": "Deep wallet behavior analysis (PnL, trading patterns, personas)",
+    },
+    "get_wallet_history": {
+        "function": get_wallet_history,
+        "free_tier": False,
+        "pro_cents": 100,
+        "ent_cents": 80,
+        "description": "Get transaction history for a wallet",
+    },
+    "get_market_overview": {
+        "function": get_market_overview,
+        "free_tier": True,
+        "pro_cents": 50,
+        "ent_cents": 40,
+        "description": "Market overview for a chain (top tokens, volume, trend)",
+    },
+    "get_trending": {
+        "function": get_trending,
+        "free_tier": True,
+        "pro_cents": 30,
+        "ent_cents": 25,
+        "description": "Get trending tokens on a chain",
+    },
+    "run_scan": {
+        "function": run_scan,
+        "free_tier": True,
+        "pro_cents": 100,
+        "ent_cents": 80,
+        "description": "Run full SENTINEL scan on a token",
+    },
+    "get_scan_result": {
+        "function": get_scan_result,
+        "free_tier": False,
+        "pro_cents": 50,
+        "ent_cents": 40,
+        "description": "Get scan result for a token",
+    },
+    "generate_report": {
+        "function": generate_report,
+        "free_tier": False,
+        "pro_cents": 500,
+        "ent_cents": 400,
+        "description": "Full AI research report (7 sections, $5)",
+    },
+    "get_report": {
+        "function": get_report,
+        "free_tier": False,
+        "pro_cents": 200,
+        "ent_cents": 150,
+        "description": "Get previously generated report",
+    },
+    "get_news": {
+        "function": get_news,
+        "free_tier": True,
+        "pro_cents": 30,
+        "ent_cents": 25,
+        "description": "Get news mentions for a token/wallet",
+    },
+    "get_news_sentiment": {
+        "function": get_news_sentiment,
+        "free_tier": True,
+        "pro_cents": 50,
+        "ent_cents": 40,
+        "description": "Get news sentiment analysis",
+    },
+    "get_wallet_labels": {
+        "function": get_wallet_labels,
+        "free_tier": True,
+        "pro_cents": 20,
+        "ent_cents": 15,
+        "description": "Get labels for a wallet address",
+    },
+    "get_entity_labels": {
+        "function": get_entity_labels,
+        "free_tier": False,
+        "pro_cents": 50,
+        "ent_cents": 40,
+        "description": "Get entity labels from Neo4j graph",
+    },
+}
+
+
+def list_tools() -> list[dict]:
+    """List all available x402 tools."""
+    return [
+        {
+            "tool_id": name,
+            "description": info["description"],
+            "free_tier": info["free_tier"],
+            "pro_cents": info.get("pro_cents"),
+            "ent_cents": info.get("ent_cents"),
+        }
+        for name, info in TOOLS.items()
+    ]
+
+
+def get_tool(tool_id: str) -> dict | None:
+    """Get a tool by ID."""
+    return TOOLS.get(tool_id)
+
+
+async def call_tool(tool_id: str, **kwargs) -> dict:
+    """Call a tool by ID with arguments."""
+    tool = TOOLS.get(tool_id)
+    if not tool:
+        return {"error": f"Unknown tool: {tool_id}"}
+    try:
+        result = await tool["function"](**kwargs)
+        return {"tool_id": tool_id, "result": result}
+    except Exception as e:
+        return {"error": str(e)}

app/domain/x402/tools/label_tools.py

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+"""x402 label tools - get_wallet_labels, get_entity_labels."""
+
+from typing import Any
+
+
+async def get_wallet_labels(wallet_address: str) -> dict[str, Any]:
+    """Get labels for a wallet."""
+    return {
+        "wallet_address": wallet_address,
+        "labels": [],
+    }
+
+
+async def get_entity_labels(entity_id: str) -> dict[str, Any]:
+    """Get entity labels from Neo4j graph."""
+    return {
+        "entity_id": entity_id,
+        "labels": [],
+    }
+
+
+async def get_entity_by_labels(labels: list[str]) -> dict[str, Any]:
+    """Get entity by labels."""
+    return {
+        "labels": labels,
+        "entities": [],
+    }

app/domain/x402/tools/market_tools.py

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+"""x402 market tools - get_market_overview, get_trending."""
+
+from typing import Any
+
+
+async def get_market_overview(chain: str = "solana") -> dict[str, Any]:
+    """Get market overview for a chain."""
+    return {
+        "chain": chain,
+        "market_status": "active",
+        "top_tokens": [],
+        "volume_24h": 0,
+        "trending": [],
+    }
+
+
+async def get_trending(chain: str = "solana") -> dict[str, Any]:
+    """Get trending tokens."""
+    return {
+        "chain": chain,
+        "trending_tokens": [],
+        "time_window": "24h",
+    }
+
+
+async def market_overview(chain: str = "solana") -> dict[str, Any]:
+    """Alias for get_market_overview."""
+    return get_market_overview(chain)
+
+
+async def token_deep_dive(token_address: str, chain: str = "solana") -> dict[str, Any]:
+    """Deep dive on a token."""
+    return {
+        "token_address": token_address,
+        "chain": chain,
+        "deep_dive": "pending",
+    }

app/domain/x402/tools/news_tools.py

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+"""x402 news tools - get_news, get_news_sentiment."""
+
+from typing import Any
+
+
+async def get_news(token: str, chain: str = "solana") -> dict[str, Any]:
+    """Get news mentions for a token."""
+    return {
+        "token": token,
+        "chain": chain,
+        "news": [],
+        "count": 0,
+    }
+
+
+async def get_news_sentiment(token: str, chain: str = "solana") -> dict[str, Any]:
+    """Get news sentiment analysis."""
+    return {
+        "token": token,
+        "chain": chain,
+        "sentiment": "neutral",
+        "articles": 0,
+    }
+
+
+async def social_signal(query: str) -> dict[str, Any]:
+    """Get social signal."""
+    return {
+        "query": query,
+        "signal": "pending",
+    }

app/domain/x402/tools/report_tools.py

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+"""x402 report tools - generate_report, get_report."""
+
+from typing import Any
+
+
+async def generate_report(subject_type: str, subject_id: str, model: str = "deepseek-v3") -> dict[str, Any]:
+    """Generate a research report."""
+    return {
+        "report_id": "pending",
+        "subject_type": subject_type,
+        "subject_id": subject_id,
+        "sections": {},
+        "risk_score": 50,
+        "markdown": "# Pending Report\n\n[Report generation pending]",
+    }
+
+
+async def get_report(report_id: str) -> dict[str, Any]:
+    """Get a previously generated report."""
+    return {
+        "report_id": report_id,
+        "status": "pending",
+        "result": {},
+    }
+
+
+async def social_sentiment(token: str, chain: str = "solana") -> dict[str, Any]:
+    """Get social sentiment analysis."""
+    return {
+        "token": token,
+        "chain": chain,
+        "sentiment": "neutral",
+        "mentions": 0,
+    }
+
+
+async def cluster_detection(wallet_address: str, chain: str = "solana") -> dict[str, Any]:
+    """Run cluster detection."""
+    return {
+        "wallet_address": wallet_address,
+        "chain": chain,
+        "clusters": [],
+    }
+
+
+async def insider_tracker(creator: str, chain: str = "solana") -> dict[str, Any]:
+    """Track insider activity."""
+    return {
+        "creator": creator,
+        "chain": chain,
+        "insider_activity": [],
+    }
+
+
+async def twitter_profile(query: str) -> dict[str, Any]:
+    """Get Twitter profile."""
+    return {
+        "query": query,
+        "profile": {},
+    }
+
+
+async def twitter_timeline(query: str) -> dict[str, Any]:
+    """Get Twitter timeline."""
+    return {
+        "query": query,
+        "tweets": [],
+    }
+
+
+async def twitter_search(query: str) -> dict[str, Any]:
+    """Search Twitter."""
+    return {
+        "query": query,
+        "results": [],
+    }
+
+
+async def launch_radar(chain: str = "solana", window_minutes: int = 5) -> dict[str, Any]:
+    """Get launch radar."""
+    return {
+        "chain": chain,
+        "window_minutes": window_minutes,
+        "launches": [],
+    }
+
+
+async def launch_intel(chain: str = "solana", hours: int = 24) -> dict[str, Any]:
+    """Get launch intelligence."""
+    return {
+        "chain": chain,
+        "hours": hours,
+        "launches": [],
+    }
+
+
+async def token_pulse(token_address: str, chain: str = "solana") -> dict[str, Any]:
+    """Get token pulse."""
+    return {
+        "token_address": token_address,
+        "chain": chain,
+        "pulse": "pending",
+    }
+
+
+async def anomaly_detector(chain: str = "solana") -> dict[str, Any]:
+    """Run anomaly detection."""
+    return {
+        "chain": chain,
+        "anomalies": [],
+    }
+
+
+async def whale_decoder(address: str, chain: str = "solana") -> dict[str, Any]:
+    """Decode whale activity."""
+    return {
+        "address": address,
+        "chain": chain,
+        "whale_activity": [],
+    }
+
+
+async def chain_health(chain: str = "solana") -> dict[str, Any]:
+    """Check chain health."""
+    return {
+        "chain": chain,
+        "health": "pending",
+    }
+
+
+async def portfolio_tracker(addresses: list[str], chain: str = "solana") -> dict[str, Any]:
+    """Track portfolio."""
+    return {
+        "addresses": addresses,
+        "chain": chain,
+        "portfolio": [],
+    }
+
+
+async def copy_trade_finder(chain: str = "solana") -> dict[str, Any]:
+    """Find copy trade opportunities."""
+    return {
+        "chain": chain,
+        "opportunities": [],
+    }
+
+
+async def risk_monitor(address: str, chain: str = "solana") -> dict[str, Any]:
+    """Monitor risk."""
+    return {
+        "address": address,
+        "chain": chain,
+        "risk_level": "pending",
+    }
+
+
+async def defi_yield_scanner(chain: str = "solana") -> dict[str, Any]:
+    """Scan DeFi yield opportunities."""
+    return {
+        "chain": chain,
+        "opportunities": [],
+    }
+
+
+async def nft_wash_detector(collection: str) -> dict[str, Any]:
+    """Detect NFT wash trading."""
+    return {
+        "collection": collection,
+        "wash_trading": False,
+    }
+
+
+async def bridge_security() -> dict[str, Any]:
+    """Check bridge security."""
+    return {
+        "bridge_security": "pending",
+    }
+
+
+async def gas_forecast(chain: str = "solana") -> dict[str, Any]:
+    """Forecast gas prices."""
+    return {
+        "chain": chain,
+        "gas_forecast": "pending",
+    }
+
+
+async def sniper_alert(chain: str = "solana", hours: int = 24) -> dict[str, Any]:
+    """Get sniper alerts."""
+    return {
+        "chain": chain,
+        "hours": hours,
+        "sniper_alerts": [],
+    }
+
+
+async def liquidity_flow(address: str, chain: str = "solana") -> dict[str, Any]:
+    """Track liquidity flow."""
+    return {
+        "address": address,
+        "chain": chain,
+        "liquidity_flow": [],
+    }
+
+
+async def rug_pull_predictor(address: str, chain: str = "solana") -> dict[str, Any]:
+    """Predict rug pull risk."""
+    return {
+        "address": address,
+        "chain": chain,
+        "risk_score": 50,
+    }
+
+
+async def airdrop_finder(chain: str = "solana") -> dict[str, Any]:
+    """Find airdrop opportunities."""
+    return {
+        "chain": chain,
+        "airdrops": [],
+    }

app/domain/x402/tools/scanner_tools.py

@@ -0,0 +1,50 @@
+"""x402 scanner tools - run_scan, get_scan_result."""
+
+from typing import Any
+
+
+async def run_scan(token_address: str, chain: str = "solana") -> dict[str, Any]:
+    """Run full SENTINEL scan."""
+    return {
+        "token_address": token_address,
+        "chain": chain,
+        "scan_status": "pending",
+        "modules_run": [],
+        "safety_score": 50,
+    }
+
+
+async def get_scan_result(scan_id: str) -> dict[str, Any]:
+    """Get scan result by ID."""
+    return {
+        "scan_id": scan_id,
+        "status": "pending",
+        "result": {},
+    }
+
+
+async def rug_shield(token_address: str, chain: str = "solana") -> dict[str, Any]:
+    """Run rug shield scan."""
+    return {
+        "token_address": token_address,
+        "chain": chain,
+        "rug_shield": "pending",
+    }
+
+
+async def honeypot_check(token_address: str, chain: str = "solana") -> dict[str, Any]:
+    """Check honeypot status."""
+    return {
+        "token_address": token_address,
+        "chain": chain,
+        "is_honeypot": False,
+    }
+
+
+async def token_forensics(token_address: str, chain: str = "solana") -> dict[str, Any]:
+    """Run token forensics."""
+    return {
+        "token_address": token_address,
+        "chain": chain,
+        "forensics": "pending",
+    }

app/domain/x402/tools/token_tools.py

@@ -0,0 +1,37 @@
+"""x402 token tools - get_token_risk, get_token_info, deep_contract_audit."""
+
+from typing import Any
+
+
+async def get_token_risk(token_address: str, chain: str = "ethereum") -> dict[str, Any]:
+    """Get risk analysis for a token."""
+    return {
+        "token_address": token_address,
+        "chain": chain,
+        "risk_score": 50,  # Placeholder
+        "risk_tier": "UNKNOWN",
+        "risk_factors": [],
+        "notes": "Token risk analysis - full implementation in x402_tools.py",
+    }
+
+
+async def get_token_info(token_address: str, chain: str = "ethereum") -> dict[str, Any]:
+    """Get basic token info."""
+    return {
+        "token_address": token_address,
+        "chain": chain,
+        "symbol": "UNKNOWN",
+        "name": "Unknown Token",
+        "decimals": 0,
+        "total_supply": 0,
+    }
+
+
+async def deep_contract_audit(token_address: str, chain: str = "ethereum") -> dict[str, Any]:
+    """Deep contract audit."""
+    return {
+        "token_address": token_address,
+        "chain": chain,
+        "audit_result": "PENDING",
+        "findings": [],
+    }

app/domain/x402/tools/wallet_tools.py

@@ -0,0 +1,34 @@
+"""x402 wallet tools - get_wallet_analysis, get_wallet_history, wallet_profiler."""
+
+from typing import Any
+
+
+async def get_wallet_analysis(wallet_address: str, chain: str = "solana") -> dict[str, Any]:
+    """Get wallet behavior analysis."""
+    return {
+        "wallet_address": wallet_address,
+        "chain": chain,
+        "analysis": "pending",
+        "personas": [],
+        "risk_score": 50,
+    }
+
+
+async def get_wallet_history(wallet_address: str, chain: str = "solana") -> dict[str, Any]:
+    """Get wallet transaction history."""
+    return {
+        "wallet_address": wallet_address,
+        "chain": chain,
+        "transactions": [],
+        "total_count": 0,
+    }
+
+
+async def wallet_profiler(wallet_address: str, chain: str = "solana") -> dict[str, Any]:
+    """Profile a wallet."""
+    return {
+        "wallet_address": wallet_address,
+        "chain": chain,
+        "profile": "pending",
+        "metrics": {},
+    }