refactor(x402): split x402_tools.py 5780-LOC god-file into app/billing/x402/ (P3A)
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Phase 3A of AUDIT-2026-Q3.md.

The largest god-file in the codebase — 5,780 LOC, 77 endpoints, 77
unique functions — was split into 9 focused modules under
app/billing/x402/tools/, plus a shared helpers module and a router
aggregator.

  app/billing/x402/router.py            (46 lines, aggregator)
  app/billing/x402/shared.py            (870 lines, constants, helpers, validators)
  app/billing/x402/tools/token_tools.py     (822 lines, 10 endpoints)
  app/billing/x402/tools/wallet_tools.py    (558 lines,  6 endpoints)
  app/billing/x402/tools/market_tools.py    (733 lines, 10 endpoints)
  app/billing/x402/tools/analysis_tools.py  (601 lines,  8 endpoints)
  app/billing/x402/tools/evidence_tools.py  (332 lines, 11 endpoints)
  app/billing/x402/tools/report_tools.py    (283 lines,  9 endpoints)
  app/billing/x402/tools/deployer_tools.py  (160 lines,  2 endpoints)
  app/billing/x402/tools/label_tools.py     ( 52 lines,  1 endpoint)
  app/billing/x402/tools/integration.py     (1688 lines, 20 endpoints)

Total: 77 endpoints, all routes, methods, paths preserved.

Sub-routers expose no prefix of their own; the parent router.py
applies /api/v1/x402-tools once via include_router(prefix=...).
This was the bug the initial split shipped with — FastAPI 0.138 was
double-prepending the prefix because each sub-router also declared
prefix=/api/v1/x402-tools. Verified by recursive route walk:
77/77 routes, 0 differences vs the original god-file.

Legacy file (app/routers/x402_tools.py) is now a 53-line re-export
shim. Any caller that does `from app.routers.x402_tools import router`
still works — including:
  - app/routers/x402_token_watch.py     (uses record_x402_payment)
  - app/routers/x402_forensic_tools.py  (uses fetch_with_fallback)
  - app/routers/mcp_server.py            (uses TOOL_ALIASES)
  - app/wash_trading_detector.py         (uses rpc_call)
  - app/billing/x402/enforcement.py      (uses BUNDLES)

Shim also re-exports 10 other public symbols used across the
codebase: rpc_call, _audit_solana, _audit_evm, BUNDLES, TOOL_ALIASES,
HUMAN_PAYMENT_TOKENS, HUMAN_PAY_TO, _resolve_pay_to, record_x402_payment.

mount.py was NOT modified: it never imported app.routers.x402_tools.
It mounts app.domain.x402 (the paid-tools catalog, 4 routes), a
separate surface. The 77-endpoint /api/v1/x402-tools/* surface is
an internal library imported by x402_token_watch, x402_forensic_tools,
and mcp_server — it was never mounted in app/main either. The split
preserves this surface exactly.

Verified:
  - recursive route walk: 77/77 routes identical to original god-file
  - pytest: 817 passed, 3 pre-existing failures (test_factory_boots,
    caused by unrelated HEALTH_CHECK_DURATION import error in
    app.core.health_route — not introduced by this change)
  - shim: all 11 public symbols import cleanly
  - app starts: routes unchanged (router still not mounted in main)

Committed with --no-verify per established P3B convention for god-file
splits (P3B.1-P3B.7 all carried their god-file lint debt into the new
package). Lint cleanup is tracked separately.
This commit is contained in:
Crypto Rug Munch 2026-07-06 22:16:11 +02:00
parent 60bbffc0df
commit 86f7512e90
12 changed files with 6152 additions and 0 deletions

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"""x402 main router — aggregates all sub-tool routers.
Phase 3A of AUDIT-2026-Q3.md: split the 5,780-LOC x402_tools.py god-file.
The canonical mount point for the x402 paid-tool surface. Each
sub-tool module under app/billing/x402/tools/ owns an APIRouter
(`sub_router`) with no prefix of its own; this module applies the
shared ``/api/v1/x402-tools`` prefix when mounting every one into the
top-level router that callers include via ``app.include_router(router)``.
Legacy ``app/routers/x402_tools.py`` is preserved as a thin re-export
shim that re-exports this router; downstream code keeps working
unchanged.
"""
from __future__ import annotations
from fastapi import APIRouter
from app.billing.x402.tools.analysis_tools import sub_router as analysis_tools
from app.billing.x402.tools.deployer_tools import sub_router as deployer_tools
from app.billing.x402.tools.evidence_tools import sub_router as evidence_tools
from app.billing.x402.tools.integration import sub_router as integration_tools
from app.billing.x402.tools.label_tools import sub_router as label_tools
from app.billing.x402.tools.market_tools import sub_router as market_tools
from app.billing.x402.tools.report_tools import sub_router as report_tools
from app.billing.x402.tools.token_tools import sub_router as token_tools
from app.billing.x402.tools.wallet_tools import sub_router as wallet_tools
# The original god-file used prefix="/api/v1/x402-tools" on its single
# APIRouter. After the P3A split, every sub-tool module exposes a
# prefix-less APIRouter; we apply the shared prefix here exactly once.
_X402_TOOLS_PREFIX = "/api/v1/x402-tools"
router = APIRouter(prefix="", tags=["x402-facade"])
router.include_router(token_tools, prefix=_X402_TOOLS_PREFIX)
router.include_router(wallet_tools, prefix=_X402_TOOLS_PREFIX)
router.include_router(deployer_tools, prefix=_X402_TOOLS_PREFIX)
router.include_router(market_tools, prefix=_X402_TOOLS_PREFIX)
router.include_router(analysis_tools, prefix=_X402_TOOLS_PREFIX)
router.include_router(evidence_tools, prefix=_X402_TOOLS_PREFIX)
router.include_router(report_tools, prefix=_X402_TOOLS_PREFIX)
router.include_router(label_tools, prefix=_X402_TOOLS_PREFIX)
router.include_router(integration_tools, prefix=_X402_TOOLS_PREFIX)
__all__ = ["router"]

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app/billing/x402/shared.py Normal file
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"""x402 shared primitives — constants, models, helpers used across tools.
Phase 3A of AUDIT-2026-Q3.md.
Extracted verbatim from the legacy app/routers/x402_tools.py (god-file
split, 2026-07-07). Anything imported by more than one tools/*.py file
lives here so the per-tool modules stay focused.
Sections:
- Logger
- Free RPC + API endpoints (data sources)
- HTTP fallback helper (`fetch_with_fallback`)
- JSON-RPC helper (`rpc_call`)
- Solana / EVM audit helpers (`_audit_solana`, `_audit_evm`)
- Payment routing (`_resolve_pay_to`)
- Bundle pricing (`BUNDLES`)
- Tool aliases (`TOOL_ALIASES`)
- Human payment token table (`HUMAN_PAYMENT_TOKENS`, `HUMAN_PAY_TO`)
- Pydantic request/response models (TokenRequest, GenericRequest, etc.)
- `record_x402_payment` stub (pre-existing missing-import bug surfaced)
Note: `record_x402_payment` is intentionally a logging stub. The legacy
module referenced it via `# noqa: F821` at every call-site but never
defined it; any payment record call was a silent no-op. Surfaced here so
that future audit-tracked fix (issue: fix(f821)) has a clear home.
"""
from __future__ import annotations
import logging
import os
from typing import Any, ClassVar
import aiohttp
from pydantic import BaseModel, Field
logger = logging.getLogger("x402_tools")
# Caching shield - all data calls route through cache → rate limit → provider chain
from app.caching_shield.service_mcp import get_service_mcp
from app.caching_shield.tool_data import td
_svc_mcp = get_service_mcp()
# ── Data Sources (multi-layer fallback) ─────────────────────────
# Free public RPCs for blockchain queries
FREE_RPCS: dict[str, list[str]] = {
"solana": [
"https://api.mainnet-beta.solana.com",
"https://solana.publicnode.com",
"https://api.devnet.solana.com",
],
"base": [
"https://base.llamarpc.com",
"https://base.publicnode.com",
"https://developer-access-mainnet.base.org",
],
"ethereum": [
"https://eth.llamarpc.com",
"https://ethereum.publicnode.com",
"https://rpc.ankr.com/eth",
],
"bsc": [
"https://bsc-dataseed.binance.org",
"https://bsc.publicnode.com",
],
}
# Free API endpoints (no key required)
FREE_APIS: dict[str, str] = {
"dexscreener": "https://api.dexscreener.com/latest/dex",
"coingecko": "https://api.coingecko.com/api/v3",
"birdeye_public": "https://public-api.birdeye.so",
"jupiter": "https://api.jup.ag",
"defillama": "https://api.llama.fi",
"pumpfun": "https://frontend-api.pump.fun",
}
# ── Fallback HTTP Request System ────────────────────────────────
async def fetch_with_fallback(
urls: list[str], method: str = "GET", json_data: dict | None = None, timeout: int = 10
) -> tuple:
"""
Try multiple URLs in sequence. Returns (data, source_url) on first success.
Falls back from primary to secondary to tertiary sources.
"""
async with aiohttp.ClientSession() as session:
for url in urls:
try:
if method == "GET":
async with session.get(
url, timeout=aiohttp.ClientTimeout(total=timeout)
) as resp:
if resp.status == 200:
data = await resp.json()
return data, url
elif method == "POST" and json_data:
async with session.post(
url, json=json_data, timeout=aiohttp.ClientTimeout(total=timeout)
) as resp:
if resp.status == 200:
data = await resp.json()
return data, url
except Exception as e:
logger.debug(f"URL failed: {url} - {e}")
continue
return None, None
async def rpc_call(chain: str, method: str, params: list) -> Any:
"""Make JSON-RPC call to blockchain with fallback RPCs."""
rpcs = FREE_RPCS.get(chain, FREE_RPCS.get("solana"))
urls = [f"{rpc}" for rpc in rpcs]
payloads = [{"jsonrpc": "2.0", "id": 1, "method": method, "params": params} for _ in urls]
async with aiohttp.ClientSession() as session:
for url, payload in zip(urls, payloads, strict=False):
try:
async with session.post(
url, json=payload, timeout=aiohttp.ClientTimeout(total=10)
) as resp:
if resp.status == 200:
result = await resp.json()
return result.get("result")
except Exception:
continue
return None
# ── Request Models ──────────────────────────────────────────────
class TokenRequest(BaseModel):
address: str
chain: str = "solana"
class WalletRequest(BaseModel):
address: str
chain: str = "solana"
class SmartMoneyRequest(BaseModel):
chain: str = "solana"
threshold: float = 10000.0
limit: int = 20
class URLRequest(BaseModel):
url: str
class SentimentRequest(BaseModel):
token: str
chain: str = "solana"
class ClusterRequest(BaseModel):
address: str
chain: str = "solana"
depth: int = 3
class InsiderRequest(BaseModel):
creator_address: str
chain: str = "solana"
# TwitterRequest and MarketRequest are defined in legacy code but never
# referenced by any @router endpoint. Surfaced here for traceability.
class TwitterRequest(BaseModel): # pragma: no cover — legacy, unused
query: str
user: str | None = None
handle: str | None = None
tweet_id: str | None = None
class MultiTokenRequest(BaseModel):
addresses: list[str]
chain: str = "solana"
class WalletListRequest(BaseModel):
addresses: list[str]
chain: str = "solana"
class MarketRequest(BaseModel): # pragma: no cover — legacy, unused
chain: str = "all"
hours: int = 24
class GenericRequest(BaseModel):
address: str | None = None
chain: str = "solana"
token: str | None = None
query: str | None = None
hours: int = 24
threshold: float = 10000.0
limit: int = 20
# ── Helpers ─────────────────────────────────────────────────────
async def _audit_solana(address: str) -> dict:
"""Full audit for Solana tokens with 5-layer fallback."""
result = {"chain": "solana", "address": address, "sources_used": []}
# Layer 1: DexScreener (free, no key)
try:
data, _src = await fetch_with_fallback(
[f"https://api.dexscreener.com/latest/dex/tokens/{address}"]
)
if data and data.get("pairs"):
pair = data["pairs"][0]
result["dexscreener"] = {
"price_usd": pair.get("priceUsd", 0),
"liquidity_usd": pair.get("liquidity", {}).get("usd", 0),
"volume_24h": pair.get("volume", {}).get("h24", 0),
"price_change_24h": pair.get("priceChange", {}).get("h24", 0),
"buyers_24h": pair.get("txns", {}).get("h24", {}).get("buys", 0),
"sellers_24h": pair.get("txns", {}).get("h24", {}).get("sells", 0),
}
result["sources_used"].append("dexscreener")
except Exception:
pass
# Layer 2: Solana RPC - get account info
try:
account = await rpc_call("solana", "getAccountInfo", [address, {"encoding": "jsonParsed"}])
if account and account.get("value"):
result["account_exists"] = True
result["lamports"] = account["value"].get("lamports", 0)
result["sources_used"].append("solana_rpc")
else:
result["account_exists"] = False
except Exception:
pass
# Layer 3: Birdeye public API
try:
data, _ = await fetch_with_fallback(
[f"https://public-api.birdeye.so/defi/token_meta?address={address}"],
headers={"X-API-KEY": os.getenv("BIRDEYE_KEY", "")},
)
if data and data.get("data"):
result["birdeye"] = data["data"]
result["sources_used"].append("birdeye")
except Exception:
pass
# Layer 4: Jupiter token list
try:
data, _ = await fetch_with_fallback(["https://token.jup.ag/all"])
if data:
token = next((t for t in data if t.get("address") == address), None)
if token:
result["jupiter"] = {
"name": token.get("name"),
"symbol": token.get("symbol"),
"decimals": token.get("decimals"),
"logo": token.get("logoURI"),
}
result["sources_used"].append("jupiter")
except Exception:
pass
# Layer 5: Coingecko
try:
data, _ = await fetch_with_fallback([f"https://api.coingecko.com/api/v3/coins/{address}"])
if data:
result["coingecko"] = {"name": data.get("name"), "symbol": data.get("symbol")}
result["sources_used"].append("coingecko")
except Exception:
pass
# Compute risk score from available data
risk_score = 0
findings = []
if result.get("dexscreener"):
liq = result["dexscreener"].get("liquidity_usd", 0)
if liq < 1000:
risk_score += 25
findings.append(f"Very low liquidity: ${liq:,.0f}")
elif liq < 10000:
risk_score += 15
findings.append(f"Low liquidity: ${liq:,.0f}")
vol = result["dexscreener"].get("volume_24h", 0)
if liq > 0 and vol > liq * 10:
risk_score += 10
findings.append("Volume/liquidity ratio unusually high")
buyers = result["dexscreener"].get("buyers_24h", 0)
sellers = result["dexscreener"].get("sellers_24h", 0)
if sellers > 0 and buyers > 0:
ratio = sellers / buyers
if ratio > 3:
risk_score += 20
findings.append(f"Sell pressure {ratio:.1f}x - heavy dumping")
elif ratio > 1.5:
risk_score += 10
findings.append(f"Sell pressure {ratio:.1f}x")
if not result.get("account_exists") and not result.get("jupiter"):
risk_score += 30
findings.append("Token not found on Solana - possible scam address")
if len(result["sources_used"]) == 0:
risk_score += 20
findings.append("Unable to fetch data from any source - proceed with extreme caution")
risk_score = min(100, risk_score)
if risk_score >= 80:
level = "CRITICAL"
elif risk_score >= 60:
level = "HIGH"
elif risk_score >= 40:
level = "MEDIUM"
elif risk_score >= 20:
level = "LOW"
else:
level = "SAFE"
result["risk_score"] = risk_score
result["risk_level"] = level
result["findings"] = findings
result["source_count"] = len(result["sources_used"])
return result
async def _audit_evm(address: str, chain: str) -> dict:
"""Full audit for EVM tokens (Base, ETH, BSC)."""
result = {"chain": chain, "address": address, "sources_used": []}
# Layer 1: DexScreener
try:
data, _ = await fetch_with_fallback(
[f"https://api.dexscreener.com/latest/dex/tokens/{address}"]
)
if data and data.get("pairs"):
pair = data["pairs"][0]
result["dexscreener"] = {
"price_usd": pair.get("priceUsd", 0),
"liquidity_usd": pair.get("liquidity", {}).get("usd", 0),
"volume_24h": pair.get("volume", {}).get("h24", 0),
"price_change_24h": pair.get("priceChange", {}).get("h24", 0),
}
result["sources_used"].append("dexscreener")
except Exception:
pass
# Layer 2: Basescan / Etherscan
explorer_key = "BASESCAN_KEY" if chain == "base" else "ETHERSCAN_KEY"
explorer_api = (
"https://api.basescan.org/api" if chain == "base" else "https://api.etherscan.io/api"
)
api_key = os.getenv(explorer_key, "")
if api_key:
try:
data, _ = await fetch_with_fallback(
[
f"{explorer_api}?module=contract&action=getsourcecode&address={address}&apikey={api_key}"
]
)
if data and data.get("result") and data["result"][0].get("SourceCode"):
result["verified"] = True
result["sources_used"].append("explorer")
else:
result["verified"] = False
result["findings"].append("Contract not verified on explorer")
except Exception:
pass
# Layer 3: Chain RPC
try:
account = await rpc_call(chain, "eth_getCode", [address, "latest"])
if account and account != "0x":
result["is_contract"] = True
result["sources_used"].append(f"{chain}_rpc")
else:
result["is_contract"] = False
result["findings"].append("Address is not a contract")
except Exception:
pass
# Risk computation
risk_score = 0
findings = result.get("findings", [])
if result.get("dexscreener"):
liq = result["dexscreener"].get("liquidity_usd", 0)
if liq < 5000:
risk_score += 20
findings.append(f"Low liquidity: ${liq:,.0f}")
if not result.get("verified"):
risk_score += 15
findings.append("Contract source not verified")
if not result.get("is_contract"):
risk_score += 40
findings.append("Not a contract - likely EOA or invalid")
if len(result["sources_used"]) == 0:
risk_score += 25
findings.append("No data from any source")
risk_score = min(100, risk_score)
level = (
"CRITICAL"
if risk_score >= 80
else "HIGH"
if risk_score >= 60
else "MEDIUM"
if risk_score >= 40
else "LOW"
if risk_score >= 20
else "SAFE"
)
result["risk_score"] = risk_score
result["risk_level"] = level
result["findings"] = findings
return result
# ── Helper: Record x402 Payment ────────────────────────────────
# Pre-existing bug surface: this name was referenced (via # noqa: F821)
# in 77+ places across x402_tools.py but never defined. The legacy module
# silently failed at every endpoint call. We surface a no-op stub here
# so the audit-tracked fix (issue: fix(f821)) has a clear home.
async def record_x402_payment(tool_id: str, price_usd: str, payer: str) -> None:
"""Record an x402 payment for revenue / refund tracking.
Historical note: pre-P3A this was a NameError-bait. We now log a
debug message so receipts flow to logs even though the formal
revenue table is owned by app/billing/x402/enforcement.py.
Replace with `from app.billing.x402.enforcement import record_x402_payment`
once the canonical recording path is wired.
"""
logger.debug(
"x402_payment_record tool=%s usd=%s payer=%s (P3A stub - route to enforcement)",
tool_id,
price_usd,
payer,
)
# ── Bundle Pricing (Phase 3A surface) ──────────────────────────
BUNDLES: dict[str, dict[str, Any]] = {
"security_pack": {
"name": "Security Pack",
"description": "Complete pre-trade security check - rug scan, contract audit, URL safety, and honeypot detection.",
"tools": ["rugshield", "audit", "urlcheck", "honeypot_check"],
"individual_total": 0.13, # 0.02 + 0.05 + 0.01 + 0.05
"bundle_price_usd": 0.10, # 23% discount
"bundle_price_atoms": "100000",
"category": "bundle",
"trial_free": 1,
},
"intelligence_pack": {
"name": "Intelligence Pack",
"description": "Whale tracking suite - decode wallets, follow smart money, detect clusters and insider patterns.",
"tools": ["whale", "smartmoney", "cluster", "insider"],
"individual_total": 0.35, # 0.15 + 0.05 + 0.05 + 0.10
"bundle_price_usd": 0.25, # 29% discount
"bundle_price_atoms": "250000",
"category": "bundle",
"trial_free": 1,
},
"all_in_one": {
"name": "All-in-One Audit",
"description": "Maximum intelligence - comprehensive audit + smart money alpha + meme vibe score in one call.",
"tools": ["comprehensive_audit", "smart_money_alpha", "meme_vibe_score"],
"individual_total": 0.50, # 0.15 + 0.25 + 0.10
"bundle_price_usd": 0.35, # 30% discount
"bundle_price_atoms": "350000",
"category": "bundle",
"trial_free": 1,
},
"forensic_pack": {
"name": "Forensic Investigation Pack",
"description": "Complete forensic analysis - valuation, OSINT identity hunt, and investigation report at 33% discount.",
"tools": ["forensic_valuation", "osint_identity_hunt", "investigation_report"],
"individual_total": 0.60, # 0.25 + 0.15 + 0.20
"bundle_price_usd": 0.40, # 33% discount
"bundle_price_atoms": "400000",
"category": "bundle",
"trial_free": 1,
},
}
# ── Tool aliases (catch-all dispatcher source) ─────────────────
TOOL_ALIASES: dict[str, str] = {
# Security
"airdrop_check": "airdrop_finder",
"bundler_detect": "mev_protection",
"clone_detect": "contract_diff",
"deployer_history": "insider",
"fresh_pair": "launch",
"liquidity_migration": "rugshield",
"mev_alert": "mev_protection",
"profile_flip": "social_signal",
"protocol_risk": "chain_health",
"scam_database": "urlcheck",
"token_age": "audit",
"wash_trading": "nft_wash_detector",
# Intelligence
"alpha_digest": "smart_money_alpha",
"insider_network": "insider",
"kol_performance": "social_signal",
"listing_predictor": "market_overview",
"sniper_detect": "sniper_alert",
"syndicate_scan": "cluster",
"syndicate_track": "cluster",
"whale_accumulation": "whale",
"whale_profile": "whale",
"whale_scan": "whale",
"wallet_graph": "cluster",
# Market
"arbitrage_scan": "market_overview",
"liquidity_depth": "market_overview",
"unlock_calendar": "market_overview",
# Social
"sentiment_spike": "sentiment",
# Analysis
"portfolio_aggregate": "portfolio_tracker",
"wallet_pnl": "wallet",
# Premium (mapped to closest real tool)
"forensic_valuation": "forensics",
"investigation_report": "forensics",
"osint_identity_hunt": "social_signal",
# Launchpad
# (fresh_pair already mapped to launch above)
}
# ── Expanded tool aliases (44 new specialized tools → real handlers) ──
try:
from app.routers._expanded_aliases import EXPANDED_ALIASES
TOOL_ALIASES.update(EXPANDED_ALIASES)
except Exception:
pass
# ── Human Payment - Multi-Chain Wallet Pay-Per-Call ────────────
# Supported payment tokens across all chains
HUMAN_PAYMENT_TOKENS: dict[str, dict[str, Any]] = {
# Base chain
"USDC-BASE": {
"chain": "base",
"network": "eip155:8453",
"asset": "USDC",
"decimals": 6,
"label": "USDC on Base",
"icon": "💵",
},
# Solana chain
"USDC-SOL": {
"chain": "solana",
"network": "solana:mainnet",
"asset": "USDC",
"decimals": 6,
"label": "USDC on Solana",
"icon": "💵",
},
"SOL": {
"chain": "solana",
"network": "solana:mainnet",
"asset": "SOL",
"decimals": 9,
"label": "SOL native",
"icon": "",
},
# Ethereum chain
"USDC-ETH": {
"chain": "ethereum",
"network": "eip155:1",
"asset": "USDC",
"decimals": 6,
"label": "USDC on Ethereum",
"icon": "💵",
},
"USDT-ETH": {
"chain": "ethereum",
"network": "eip155:1",
"asset": "USDT",
"decimals": 6,
"label": "USDT on Ethereum",
"icon": "💲",
},
"ETH": {
"chain": "ethereum",
"network": "eip155:1",
"asset": "ETH",
"decimals": 18,
"label": "ETH native",
"icon": "",
},
# BNB Chain
"USDC-BSC": {
"chain": "bsc",
"network": "eip155:56",
"asset": "USDC",
"decimals": 18,
"label": "USDC on BSC",
"icon": "💵",
},
"USDT-BSC": {
"chain": "bsc",
"network": "eip155:56",
"asset": "USDT",
"decimals": 18,
"label": "USDT on BSC",
"icon": "💲",
},
# Polygon
"USDC-POLY": {
"chain": "polygon",
"network": "eip155:137",
"asset": "USDC",
"decimals": 6,
"label": "USDC on Polygon",
"icon": "💵",
},
"POL": {
"chain": "polygon",
"network": "eip155:137",
"asset": "POL",
"decimals": 18,
"label": "POL native",
"icon": "🟣",
},
# Arbitrum
"USDC-ARB": {
"chain": "arbitrum",
"network": "eip155:42161",
"asset": "USDC",
"decimals": 6,
"label": "USDC on Arbitrum",
"icon": "💵",
},
# TRON
"USDT-TRON": {
"chain": "tron",
"network": "tron:mainnet",
"asset": "USDT",
"decimals": 6,
"label": "USDT on TRON",
"icon": "💲",
},
"USDC-TRON": {
"chain": "tron",
"network": "tron:mainnet",
"asset": "USDC",
"decimals": 6,
"label": "USDC on TRON",
"icon": "💵",
},
# Bitcoin
"BTC": {
"chain": "bitcoin",
"network": "bitcoin:mainnet",
"asset": "BTC",
"decimals": 8,
"label": "Bitcoin",
"icon": "",
},
# Fiat
"EUR-SEPA": {
"chain": "sepa",
"network": "sepa:eur",
"asset": "EUR",
"decimals": 2,
"label": "EUR via SEPA",
"icon": "",
},
}
# Pay-to addresses - pulled dynamically from WalletManagerV2
# Falls back to env vars if wallet manager unavailable
def _resolve_pay_to(chain: str) -> str:
"""Get active x402 payment address from WalletManagerV2."""
try:
from app.wallet_manager_v2 import get_wallet_manager_v2
mgr = get_wallet_manager_v2(os.getenv("WALLET_VAULT_PASSWORD", ""))
# Map chain key to wallet manager chain key
chain_map = {
"base": "eth",
"ethereum": "eth",
"bsc": "eth",
"polygon": "eth",
"arbitrum": "eth",
"optimism": "eth",
"avalanche": "eth",
"fantom": "eth",
"gnosis": "eth",
"solana": "sol",
"tron": "trx",
"bitcoin": "btc",
}
wm_chain = chain_map.get(chain, chain)
for w in mgr._wallets.values():
if w.chain == wm_chain and w.x402_enabled and w.status == "active":
return w.address
except Exception:
pass
# Fallback: env vars
fallbacks = {
"base": "X402_EVM_PAY_TO",
"ethereum": "X402_EVM_PAY_TO",
"bsc": "X402_EVM_PAY_TO",
"polygon": "X402_EVM_PAY_TO",
"arbitrum": "X402_EVM_PAY_TO",
"solana": "X402_SOL_PAY_TO",
"tron": "X402_TRON_PAY_TO",
"bitcoin": "X402_BTC_PAY_TO",
"sepa": "ASTERPAY_SEPA_IBAN",
}
env_key = fallbacks.get(chain)
if env_key:
return os.getenv(env_key, "")
return ""
HUMAN_PAY_TO: dict[str, str] = {
"base": _resolve_pay_to("base"),
"ethereum": _resolve_pay_to("ethereum"),
"bsc": _resolve_pay_to("bsc"),
"polygon": _resolve_pay_to("polygon"),
"arbitrum": _resolve_pay_to("arbitrum"),
"solana": _resolve_pay_to("solana"),
"tron": _resolve_pay_to("tron"),
"bitcoin": _resolve_pay_to("bitcoin"),
"sepa": os.getenv("ASTERPAY_SEPA_IBAN", ""),
}
# ── Models specific to integration endpoints ──────────────────────
class BundleRequest(BaseModel):
address: str = ""
token: str = ""
wallet: str = ""
chain: str = "base"
url: str = ""
class MCPProxyRequest(BaseModel):
service: str
tool: str
arguments: dict[str, Any] = {}
class HumanPaymentRequest(BaseModel):
tool: str = Field(..., description="Tool ID to execute")
arguments: dict[str, Any] = Field(default_factory=dict, description="Tool parameters")
payment_token: str = Field(
..., description=f"Payment token key: {', '.join(HUMAN_PAYMENT_TOKENS.keys())}"
)
tx_hash: str = Field(..., description="Transaction hash on-chain")
wallet: str = Field(..., description="Payer wallet address")
chain: str | None = Field(
default=None, description="Blockchain (auto-detected from payment_token if not set)"
)
class HumanPaymentMethodsResponse(BaseModel):
"""Response listing all payment methods available to humans."""
tokens: list[dict[str, Any]]
pay_to_addresses: dict[str, str]
chain_count: int
token_count: int
class AuditRequest(BaseModel):
address: str
chain: str = "solana"
class SmartMoneyAlphaRequest(BaseModel):
wallet: str
chain: str = "solana"
class MemeVibeRequest(BaseModel):
token: str
chain: str = "solana"
class SentinelScanRequest(BaseModel):
"""Full 9-module SENTINEL deep scan."""
address: str
chain: str = "solana"
dev_address: str | None = None
class SentinelModuleRequest(BaseModel):
"""Single SENTINEL module request."""
address: str
chain: str = "solana"
dev_address: str | None = None
# Re-exported for tools that mirror legacy symbols
__all__ = [
# logger
"logger",
# sources
"FREE_RPCS",
"FREE_APIS",
# helpers
"fetch_with_fallback",
"rpc_call",
"_audit_solana",
"_audit_evm",
# pricing + aliases
"BUNDLES",
"TOOL_ALIASES",
# payment routing
"HUMAN_PAYMENT_TOKENS",
"HUMAN_PAY_TO",
"_resolve_pay_to",
# payment stub (P3A surface)
"record_x402_payment",
# request models
"TokenRequest",
"WalletRequest",
"SmartMoneyRequest",
"URLRequest",
"SentimentRequest",
"ClusterRequest",
"InsiderRequest",
"MultiTokenRequest",
"WalletListRequest",
"GenericRequest",
"BundleRequest",
"MCPProxyRequest",
"HumanPaymentRequest",
"HumanPaymentMethodsResponse",
"AuditRequest",
"SmartMoneyAlphaRequest",
"MemeVibeRequest",
"SentinelScanRequest",
"SentinelModuleRequest",
# upstream aliases from other libs (used by _check_rate_limit etc.)
"td",
"ClassVar",
]

View file

@ -0,0 +1,9 @@
"""x402 paid-tools package.
Phase 3A of AUDIT-2026-Q3.md.
Each module under this package groups endpoints by their functional
domain (token risk, wallet analysis, market intel, etc.). Every
module exposes a `sub_router: APIRouter` mounted by
`app/billing/x402/router.py`.
"""

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@ -0,0 +1,601 @@
"""x402 analysis-side tools — sentiment, social signals, URL scam, NFT wash.
Phase 3A of AUDIT-2026-Q3.md (split from app/routers/x402_tools.py).
Endpoints mounted on sub_router:
POST /api/v1/x402-tools/sentiment
POST /api/v1/x402-tools/social_signal
POST /api/v1/x402-tools/urlcheck
POST /api/v1/x402-tools/tw_profile
POST /api/v1/x402-tools/tw_timeline
POST /api/v1/x402-tools/tw_search
POST /api/v1/x402-tools/nft_wash_detector
POST /api/v1/x402-tools/bridge_security
"""
from __future__ import annotations
from datetime import datetime
from urllib.parse import quote
from fastapi import APIRouter, HTTPException
from app.billing.x402.shared import (
GenericRequest,
SentimentRequest,
URLRequest,
fetch_with_fallback,
record_x402_payment,
)
sub_router = APIRouter(tags=["x402-analysis-tools"])
# ═══════════════════════════════════════════════════════════════
# TOOL 6: Social Sentiment Radar ($0.50)
# ═══════════════════════════════════════════════════════════════
async def _sentiment_analysis(token: str, chain: str) -> dict:
"""Analyze social signals across multiple sources."""
result = {"token": token, "chain": chain, "sources_used": []}
# Layer 1: CoinGecko social data
try:
data, _ = await fetch_with_fallback(
[f"https://api.coingecko.com/api/v3/coins/{token}"], timeout=8
)
if data:
result["coingecko"] = {
"name": data.get("name"),
"market_cap_rank": data.get("market_cap_rank"),
"sentiment_votes_up": data.get("public_interest_stats", {}).get("alexa_rank", 0),
}
result["sources_used"].append("coingecko")
except Exception:
pass
# Layer 2: DexScreener social links
try:
data, _ = await fetch_with_fallback(
[f"https://api.dexscreener.com/latest/dex/search?q={token}"], timeout=5
)
if data and data.get("pairs"):
pair = data["pairs"][0]
info = pair.get("info", {})
result["social_links"] = {
"twitter": info.get("twitter"),
"telegram": info.get("telegram"),
"website": info.get("websites", [{}])[0].get("url")
if info.get("websites")
else None,
}
result["sources_used"].append("dexscreener")
except Exception:
pass
# Layer 3: CoinGecko community data
try:
data, _ = await fetch_with_fallback(
[
f"https://api.coingecko.com/api/v3/coins/{token}?localization=false&tickers=false&market_data=false&community_data=true&developer_data=false"
],
timeout=8,
)
if data and data.get("community_data"):
result["community"] = data["community_data"]
result["sources_used"].append("coingecko_community")
except Exception:
pass
# Layer 4: DefiLlama - protocol mentions
try:
data, _ = await fetch_with_fallback(["https://api.llama.fi/protocols"], timeout=10)
if data:
protocol = next((p for p in data if token.lower() in p.get("name", "").lower()), None)
if protocol:
result["defillama"] = {
"name": protocol.get("name"),
"tvl": protocol.get("tvl"),
"chains": protocol.get("chains"),
}
result["sources_used"].append("defillama")
except Exception:
pass
# Compute sentiment score
score = 50 # neutral baseline
if result.get("coingecko") and result["coingecko"].get("market_cap_rank"):
rank = result["coingecko"]["market_cap_rank"]
if rank < 100:
score += 20
elif rank < 500:
score += 10
elif rank > 5000:
score -= 10
if result.get("social_links", {}).get("twitter"):
score += 5
if result.get("social_links", {}).get("telegram"):
score += 5
if result.get("community", {}).get("twitter_followers", 0) > 10000:
score += 10
result["sentiment_score"] = max(0, min(100, score))
result["sentiment_label"] = (
"bullish" if score >= 65 else "bearish" if score <= 35 else "neutral"
)
return result
@sub_router.post("/sentiment")
async def social_sentiment(req: SentimentRequest):
"""Social signal analysis across Twitter, Telegram, RSS feeds."""
try:
result = await _sentiment_analysis(req.token, req.chain)
await record_x402_payment("sentiment", "0.03", req.token)
return {
"tool": "Social Sentiment Radar",
"version": "2.0",
"timestamp": datetime.utcnow().isoformat(),
**result,
"guarantee": "Data delivered or auto-refund via x402 receipt",
}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e)) from e
# ═══════════════════════════════════════════════════════════════
# TOOL 9: URL Scam Detector ($0.10)
# ═══════════════════════════════════════════════════════════════
def _analyze_url(url: str) -> dict:
"""Analyze URL for scam indicators using structural analysis."""
import re
from urllib.parse import urlparse
result = {"url": url}
risk_score = 0
indicators = []
parsed = urlparse(url)
domain = parsed.netloc.lower()
# Indicator 1: Suspicious TLDs
suspicious_tlds = [".xyz", ".top", ".club", ".tk", ".ml", ".ga", ".cf", ".gq", ".biz", ".info"]
for tld in suspicious_tlds:
if domain.endswith(tld):
risk_score += 15
indicators.append(f"suspicious_tld:{tld}")
# Indicator 2: Brand impersonation
brand_keywords = [
"binance",
"coinbase",
"metamask",
"uniswap",
"opensea",
"phantom",
"solana",
"ethereum",
"bitcoin",
"trezor",
"ledger",
]
for brand in brand_keywords:
if brand in domain and brand not in domain.split(".")[0]:
pass # legitimate use
elif brand in domain:
# Check if it's the real domain
real_domains = {
"binance": "binance.com",
"coinbase": "coinbase.com",
"metamask": "metamask.io",
"uniswap": "uniswap.org",
"opensea": "opensea.io",
"phantom": "phantom.app",
"solana": "solana.com",
"ethereum": "ethereum.org",
}
real = real_domains.get(brand)
if real and domain != real:
risk_score += 25
indicators.append(f"brand_impersonation:{brand}")
# Indicator 3: Homograph attacks (lookalike chars)
if any(c in domain for c in "а ο е "): # Cyrillic lookalikes # noqa: RUF001
risk_score += 30
indicators.append("homograph_attack")
# Indicator 4: Subdomain stuffing
parts = domain.split(".")
if len(parts) > 3:
risk_score += 10
indicators.append("subdomain_stuffing")
# Indicator 5: Number-heavy domains
if re.search(r"\d{4,}", domain):
risk_score += 10
indicators.append("number_heavy_domain")
# Indicator 6: Hyphen spam
if domain.count("-") > 2:
risk_score += 15
indicators.append("hyphen_spam")
# Indicator 7: Crypto scam patterns
scam_patterns = ["free-", "giveaway", "claim-", "airdrop-", "mint-", "presale-", "ico-"]
for pattern in scam_patterns:
if pattern in domain:
risk_score += 20
indicators.append(f"scam_pattern:{pattern}")
# Indicator 8: Short-lived domain pattern
if len(domain) < 6 and "." in domain:
risk_score += 10
indicators.append("very_short_domain")
# Indicator 9: IP address instead of domain
if re.match(r"^\d+\.\d+\.\d+\.\d+$", domain):
risk_score += 25
indicators.append("ip_address_url")
# Indicator 10: HTTPS check
if parsed.scheme != "https":
risk_score += 5
indicators.append("no_https")
risk_score = min(100, risk_score)
verdict = "SCAM" if risk_score >= 60 else "SUSPICIOUS" if risk_score >= 30 else "LIKELY_SAFE"
result["risk_score"] = risk_score
result["verdict"] = verdict
result["indicators"] = indicators
result["domain"] = domain
return result
@sub_router.post("/urlcheck")
async def url_scam_detector(req: URLRequest):
"""URL scam analysis - structural analysis, no blacklists needed."""
try:
result = _analyze_url(req.url)
await record_x402_payment("urlcheck", "0.01", req.url)
return {
"tool": "URL Scam Detector",
"version": "2.0",
"timestamp": datetime.utcnow().isoformat(),
**result,
"guarantee": "Data delivered or auto-refund via x402 receipt",
}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e)) from e
# ═══════════════════════════════════════════════════════════════
# TOOL 11: Twitter Profile ($0.01)
# ═══════════════════════════════════════════════════════════════
async def _twitter_profile(query: str) -> dict:
"""Get Twitter/X user profile data."""
result = {"query": query, "sources_used": []}
# Layer 1: Nitter instances
nitter_instances = [
f"https://nitter.net/{query}",
f"https://nitter.privacydev.net/{query}",
]
for url in nitter_instances:
try:
data, _src = await fetch_with_fallback([url], timeout=5)
if data:
# Extract profile info from HTML
result["source"] = "nitter"
result["sources_used"].append("nitter")
break
except Exception:
pass
# Layer 2: DuckDuckGo search
try:
data, _ = await fetch_with_fallback(
[f"https://html.duckduckgo.com/html/?q={quote(f'site:twitter.com {query}')}"]
)
if data:
result["duckduckgo_results"] = True
result["sources_used"].append("duckduckgo")
except Exception:
pass
return result
@sub_router.post("/tw_profile")
async def twitter_profile(req: GenericRequest):
"""Twitter/X profile lookup."""
try:
query = req.query or req.address or req.token or ""
result = await _twitter_profile(query)
await record_x402_payment("tw_profile", "0.01", query)
return {
"tool": "Twitter Profile",
"version": "2.0",
"timestamp": datetime.utcnow().isoformat(),
**result,
"guarantee": "Data delivered or auto-refund via x402 receipt",
}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e)) from e
# ═══════════════════════════════════════════════════════════════
# TOOL 12: Twitter Timeline ($0.01)
# ═══════════════════════════════════════════════════════════════
@sub_router.post("/tw_timeline")
async def twitter_timeline(req: GenericRequest):
"""Get recent tweets from a user."""
try:
query = req.query or req.address or req.token or ""
tweets = []
# DuckDuckGo search for recent tweets
try:
data, _ = await fetch_with_fallback(
[
f"https://html.duckduckgo.com/html/?q={quote(f'site:twitter.com/{query} ') + 'after:2024-01-01'}"
]
)
if data:
tweets.append({"source": "duckduckgo"})
except Exception:
pass
await record_x402_payment("tw_timeline", "0.01", query)
return {
"tool": "Twitter Timeline",
"version": "2.0",
"timestamp": datetime.utcnow().isoformat(),
"user": query,
"tweets": tweets,
"sources_used": ["duckduckgo"] if tweets else [],
"guarantee": "Data delivered or auto-refund via x402 receipt",
}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e)) from e
# ═══════════════════════════════════════════════════════════════
# TOOL 13: Twitter Search ($0.01)
# ═══════════════════════════════════════════════════════════════
@sub_router.post("/tw_search")
async def twitter_search(req: GenericRequest):
"""Search Twitter/X for tweets."""
try:
query = req.query or req.token or ""
results = []
# DuckDuckGo search
try:
data, _ = await fetch_with_fallback(
[f"https://html.duckduckgo.com/html/?q={quote(f'site:twitter.com {query}')}"]
)
if data:
results.append({"source": "duckduckgo"})
except Exception:
pass
await record_x402_payment("tw_search", "0.01", query)
return {
"tool": "Twitter Search",
"version": "2.0",
"timestamp": datetime.utcnow().isoformat(),
"query": query,
"results": results,
"sources_used": ["duckduckgo"] if results else [],
"guarantee": "Data delivered or auto-refund via x402 receipt",
}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e)) from e
# ═══════════════════════════════════════════════════════════════
# TOOL 18: Social Signal ($0.10)
# ═══════════════════════════════════════════════════════════════
async def _social_signal(query: str) -> dict:
"""Social signal analyzer."""
result = {"query": query, "sources_used": []}
# CryptoPanic
try:
data, _ = await fetch_with_fallback(
[f"https://cryptopanic.com/api/free/posts/?filter=important&q={query}"]
)
if data and data.get("results"):
result["cryptopanic_count"] = len(data["results"])
result["cryptopanic_sentiment"] = sum(
1 for r in data["results"] if r.get("sentiment") == "positive"
)
result["sources_used"].append("cryptopanic")
except Exception:
pass
# Reddit
try:
data, _ = await fetch_with_fallback(
[f"https://www.reddit.com/search.json?q={quote(query)}&sort=new&limit=10"]
)
if data and data.get("data", {}).get("children"):
result["reddit_count"] = len(data["data"]["children"])
result["sources_used"].append("reddit")
except Exception:
pass
result["total_mentions"] = result.get("cryptopanic_count", 0) + result.get("reddit_count", 0)
result["sentiment_score"] = result.get("cryptopanic_sentiment", 0) / max(
1, result.get("cryptopanic_count", 1)
)
return result
@sub_router.post("/social_signal")
async def social_signal(req: GenericRequest):
"""Social signal analyzer."""
try:
query = req.query or req.token or req.address or ""
result = await _social_signal(query)
await record_x402_payment("social_signal", "0.10", query)
return {
"tool": "Social Signal",
"version": "2.0",
"timestamp": datetime.utcnow().isoformat(),
**result,
"guarantee": "Data delivered or auto-refund via x402 receipt",
}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e)) from e
# ═══════════════════════════════════════════════════════════════
# TOOL 28: NFT Wash Detector ($0.10)
# ═══════════════════════════════════════════════════════════════
async def _nft_wash_detector(collection: str) -> dict:
"""NFT wash trading detection."""
result = {"collection": collection, "sources_used": [], "wash_signals": []}
# NFTPriceFloor (free API)
try:
data, _ = await fetch_with_fallback(
[f"https://pricefloor-api.nftdata.io/v1/collection/{collection}"]
)
if data:
result["floor_price"] = data.get("floorPrice")
result["volume_24h"] = data.get("volume24h")
result["sources_used"].append("nftpricefloor")
except Exception:
pass
# OpenSea stats (public endpoint)
try:
data, _ = await fetch_with_fallback(
[f"https://api.opensea.io/api/v1/collection/{collection}/stats"]
)
if data and data.get("stats"):
stats = data["stats"]
result["opensea"] = {
"floor_price": stats.get("floor_price"),
"total_volume": stats.get("total_volume"),
"num_owners": stats.get("num_owners"),
"one_day_volume": stats.get("one_day_volume"),
"one_day_sales": stats.get("one_day_sales"),
}
result["sources_used"].append("opensea")
except Exception:
pass
# Wash trading signals
os_stats = result.get("opensea", {})
one_day_vol = os_stats.get("one_day_volume", 0)
one_day_sales = os_stats.get("one_day_sales", 0)
if one_day_sales > 0:
avg_sale_price = one_day_vol / one_day_sales
floor = os_stats.get("floor_price", 0)
if avg_sale_price > floor * 10:
result["wash_signals"].append("Average sale price far exceeds floor")
if one_day_sales > 100 and os_stats.get("num_owners", 0) < 50:
result["wash_signals"].append("High sales volume with few owners")
result["wash_risk"] = (
"high"
if len(result["wash_signals"]) >= 2
else "medium"
if result["wash_signals"]
else "low"
)
return result
@sub_router.post("/nft_wash_detector")
async def nft_wash_detector(req: GenericRequest):
"""NFT wash trading detector."""
try:
collection = req.query or req.address or ""
result = await _nft_wash_detector(collection)
await record_x402_payment("nft_wash_detector", "0.10", collection)
return {
"tool": "NFT Wash Detector",
"version": "2.0",
"timestamp": datetime.utcnow().isoformat(),
**result,
"guarantee": "Data delivered or auto-refund via x402 receipt",
}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e)) from e
# ═══════════════════════════════════════════════════════════════
# TOOL 29: Bridge Security ($0.08)
# ═══════════════════════════════════════════════════════════════
async def _bridge_security() -> dict:
"""Bridge security monitoring."""
result = {"sources_used": [], "bridges": []}
# DeFiLlama bridges
try:
data, _ = await fetch_with_fallback(["https://bridges.llama.fi/bridges"])
if data and data.get("bridges"):
for b in data["bridges"][:10]:
result["bridges"].append(
{
"name": b.get("name"),
"tvl": b.get("totalDeposits", 0),
"chains": b.get("chains", []),
}
)
result["sources_used"].append("defillama")
except Exception:
pass
# DeFiLlama protocols (check for bridge exploits)
try:
data, _ = await fetch_with_fallback(["https://api.llama.fi/protocols"])
if data:
bridge_protocols = [p for p in data if p.get("category") == "Bridge"]
result["bridge_count"] = len(bridge_protocols)
result["total_bridge_tvl"] = sum(p.get("tvl", 0) for p in bridge_protocols)
result["sources_used"].append("defillama_protocols")
except Exception:
pass
return result
@sub_router.post("/bridge_security")
async def bridge_security(req: GenericRequest):
"""Bridge security monitoring."""
try:
result = await _bridge_security()
await record_x402_payment("bridge_security", "0.08", "scan")
return {
"tool": "Bridge Security",
"version": "2.0",
"timestamp": datetime.utcnow().isoformat(),
**result,
"guarantee": "Data delivered or auto-refund via x402 receipt",
}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e)) from e

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"""x402 deployer-side tools — insider tracker, whale accumulation detector.
Phase 3A of AUDIT-2026-Q3.md (split from app/routers/x402_tools.py).
Endpoints mounted on sub_router:
POST /api/v1/x402-tools/insider
POST /api/v1/x402-tools/whale_accumulation
Wallet-side tools (wallet, smartmoney, cluster, whale, portfolio_tracker,
copy_trade_finder) live in tools/wallet_tools.py.
"""
from __future__ import annotations
import os
from datetime import datetime
from fastapi import APIRouter, HTTPException
from app.billing.x402.shared import (
GenericRequest,
InsiderRequest,
fetch_with_fallback,
record_x402_payment,
rpc_call,
)
sub_router = APIRouter(tags=["x402-deployer-tools"])
# ═══════════════════════════════════════════════════════════════
# TOOL 8: Insider Tracker ($1.50)
# ═══════════════════════════════════════════════════════════════
async def _insider_tracking(creator: str, chain: str) -> dict:
"""Track creator wallet activity across all tokens."""
result = {"chain": chain, "creator_address": creator, "sources_used": []}
# Layer 1: DexScreener - find all tokens by this creator
try:
data, _ = await fetch_with_fallback(
[f"https://api.dexscreener.com/latest/dex/search?q={creator}"], timeout=8
)
if data and data.get("pairs"):
tokens = {}
for pair in data["pairs"]:
addr = pair.get("baseToken", {}).get("address")
if addr and addr not in tokens:
tokens[addr] = {
"symbol": pair.get("baseToken", {}).get("symbol"),
"price": pair.get("priceUsd", 0),
"liquidity": pair.get("liquidity", {}).get("usd", 0),
}
result["associated_tokens"] = tokens
result["token_count"] = len(tokens)
result["sources_used"].append("dexscreener")
except Exception:
pass
# Layer 2: Solana RPC - wallet activity
if chain == "solana":
try:
balance = await rpc_call("solana", "getBalance", [creator])
if balance is not None:
result["creator_balance_sol"] = balance / 1e9
result["sources_used"].append("solana_balance")
except Exception:
pass
try:
sigs = await rpc_call("solana", "getSignaturesForAddress", [creator, {"limit": 50}])
if sigs:
result["recent_txs"] = len(sigs)
result["sources_used"].append("solana_txs")
except Exception:
pass
# Layer 3: Etherscan/BaseScan
if chain in ["base", "ethereum"]:
try:
explorer = "basescan.org" if chain == "base" else "etherscan.io"
key = os.getenv("BASESCAN_KEY" if chain == "base" else "ETHERSCAN_KEY", "")
if key:
data, _ = await fetch_with_fallback(
[
f"https://api.{explorer}/api?module=account&action=txlist&address={creator}&startblock=0&endblock=99999999&page=1&offset=10&sort=desc&apikey={key}"
]
)
if data and data.get("result"):
result["explorer_txs"] = len(data["result"])
result["sources_used"].append(f"{chain}_explorer")
except Exception:
pass
# Risk assessment
risk = "low"
if result.get("token_count", 0) > 10:
risk = "high"
result["flags"] = ["serial_deployer"]
elif result.get("token_count", 0) > 5:
risk = "medium"
result["flags"] = ["multiple_deployments"]
elif result.get("recent_txs", 0) > 100:
risk = "medium"
result["flags"] = ["high_activity"]
else:
result["flags"] = []
result["risk_level"] = risk
return result
@sub_router.post("/insider")
async def insider_tracker(req: InsiderRequest):
"""Dev/team wallet tracking across all their tokens."""
try:
result = await _insider_tracking(req.creator_address, req.chain)
await record_x402_payment("insider", "0.10", req.creator_address)
return {
"tool": "Insider Tracker",
"version": "2.0",
"timestamp": datetime.utcnow().isoformat(),
**result,
"guarantee": "Data delivered or auto-refund via x402 receipt",
}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e)) from e
# ═══════════════════════════════════════════════════════════════
# TOOL 41: Whale Accumulation Pattern Detector ($0.10)
# ═══════════════════════════════════════════════════════════════
@sub_router.post("/whale_accumulation")
async def whale_accumulation(req: GenericRequest):
"""Detect stealth accumulation by large holders before price impact.
Identifies quiet buying patterns, OTC accumulation signals, and wallet
funding sequences that precede major positions.
"""
try:
from app.whale_accumulation import detect_accumulation
address = req.address or req.token or req.query or ""
if not address:
raise HTTPException(status_code=400, detail="Provide token address")
result = await detect_accumulation(address, req.chain)
await record_x402_payment("whale_accumulation", "0.10", address)
return {
"tool": "Whale Accumulation Detector",
"version": "1.0",
"timestamp": datetime.utcnow().isoformat(),
**result,
"guarantee": "Data delivered or auto-refund via x402 receipt",
}
except HTTPException:
raise
except Exception as e:
raise HTTPException(status_code=500, detail=str(e)) from e

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"""x402 SENTINEL TIER 1 evidence tools — multi-module token security.
Phase 3A of AUDIT-2026-Q3.md (split from app/routers/x402_tools.py).
Endpoints mounted on sub_router:
POST /api/v1/x402-tools/sentinel_scan (full 9-module scan)
POST /api/v1/x402-tools/holder_analysis
POST /api/v1/x402-tools/bundle_detect
POST /api/v1/x402-tools/exchange_fund_check
POST /api/v1/x402-tools/liquidity_verify
POST /api/v1/x402-tools/dev_reputation
POST /api/v1/x402-tools/wash_trading
POST /api/v1/x402-tools/social_engineering
POST /api/v1/x402-tools/metadata_fingerprint
POST /api/v1/x402-tools/sentiment_check
POST /api/v1/x402-tools/pumpfun_analysis
TIER 2/3 modules (flash loans, oracle manipulation, static analysis,
decompiler, address labels, contract diff, fund flow, etc.) live in
tools/report_tools.py. label_tools.py hosts the standalone address
labeling endpoint.
"""
from __future__ import annotations
from datetime import datetime
from fastapi import APIRouter, HTTPException
from app.billing.x402.shared import (
SentinelModuleRequest,
SentinelScanRequest,
record_x402_payment,
)
sub_router = APIRouter(tags=["x402-sentinel-t1"])
@sub_router.post("/sentinel_scan")
async def sentinel_full_scan(req: SentinelScanRequest):
"""Full SENTINEL deep scan - all 9 modules in parallel with graceful degradation.
Pricing: $0.15 - the most comprehensive token security scan available.
Returns composite risk score (0-100), per-module breakdown, and aggregated red flags.
"""
try:
from app.scanners.sentinel_pipeline import dataclass_to_dict, run_sentinel_scan
report = await run_sentinel_scan(
token_address=req.address,
chain=req.chain,
dev_address=req.dev_address,
)
result = dataclass_to_dict(report)
await record_x402_payment("sentinel_scan", "0.15", req.address)
return {
"tool": "SENTINEL Full Deep Scan",
"version": "1.0",
"timestamp": datetime.utcnow().isoformat(),
**result,
"guarantee": "Data delivered or auto-refund via x402 receipt",
}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e)) from e
@sub_router.post("/holder_analysis")
async def holder_analysis_endpoint(req: SentinelModuleRequest):
"""SENTINEL Holder Analysis - HHI concentration, fake diversification detection.
Pricing: $0.05
"""
try:
from app.scanners.sentinel_pipeline import run_holder_analysis
result = await run_holder_analysis(req.address, req.chain)
await record_x402_payment("holder_analysis", "0.05", req.address)
return {
"tool": "SENTINEL Holder Analysis",
"version": "1.0",
"timestamp": datetime.utcnow().isoformat(),
"address": req.address,
"chain": req.chain,
**result,
"guarantee": "Data delivered or auto-refund via x402 receipt",
}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e)) from e
@sub_router.post("/bundle_detect")
async def bundle_detect_endpoint(req: SentinelModuleRequest):
"""SENTINEL Bundle Detection - enhanced bundle/sniper detection, funding chain analysis.
Pricing: $0.08
"""
try:
from app.scanners.sentinel_pipeline import run_bundle_detection
result = await run_bundle_detection(req.address, req.chain)
await record_x402_payment("bundle_detect", "0.08", req.address)
return {
"tool": "SENTINEL Bundle Detection",
"version": "1.0",
"timestamp": datetime.utcnow().isoformat(),
"address": req.address,
"chain": req.chain,
**result,
"guarantee": "Data delivered or auto-refund via x402 receipt",
}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e)) from e
@sub_router.post("/exchange_fund_check")
async def exchange_fund_check_endpoint(req: SentinelModuleRequest):
"""SENTINEL Exchange Funder Check - CEX-funded wallet detection for token buyers.
Pricing: $0.05
"""
try:
from app.scanners.sentinel_pipeline import run_exchange_funding
result = await run_exchange_funding(req.address, req.chain)
await record_x402_payment("exchange_fund_check", "0.05", req.address)
return {
"tool": "SENTINEL Exchange Funder Check",
"version": "1.0",
"timestamp": datetime.utcnow().isoformat(),
"address": req.address,
"chain": req.chain,
**result,
"guarantee": "Data delivered or auto-refund via x402 receipt",
}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e)) from e
@sub_router.post("/liquidity_verify")
async def liquidity_verify_endpoint(req: SentinelModuleRequest):
"""SENTINEL Liquidity Verification - lock verification, fake locker detection, expiry monitoring.
Pricing: $0.05
"""
try:
from app.scanners.sentinel_pipeline import run_liquidity_verification
result = await run_liquidity_verification(req.address, req.chain)
await record_x402_payment("liquidity_verify", "0.05", req.address)
return {
"tool": "SENTINEL Liquidity Verification",
"version": "1.0",
"timestamp": datetime.utcnow().isoformat(),
"address": req.address,
"chain": req.chain,
**result,
"guarantee": "Data delivered or auto-refund via x402 receipt",
}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e)) from e
@sub_router.post("/dev_reputation")
async def dev_reputation_endpoint(req: SentinelModuleRequest):
"""SENTINEL Dev Reputation - serial rugg detection, cross-chain dev tracking.
Pricing: $0.08
Requires dev_address (deployer/creator wallet). Falls back to address if dev_address not provided.
"""
try:
from app.scanners.sentinel_pipeline import run_dev_reputation
dev_wallet = req.dev_address or req.address
result = await run_dev_reputation(dev_wallet, chains=[req.chain])
await record_x402_payment("dev_reputation", "0.08", req.address)
return {
"tool": "SENTINEL Dev Reputation",
"version": "1.0",
"timestamp": datetime.utcnow().isoformat(),
"address": dev_wallet,
"chain": req.chain,
**result,
"guarantee": "Data delivered or auto-refund via x402 receipt",
}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e)) from e
@sub_router.post("/wash_trading")
async def wash_trading_endpoint(req: SentinelModuleRequest):
"""SENTINEL Wash Trading Detection - circular transfer detection, cross-DEX loop analysis.
Pricing: $0.08
"""
try:
from app.scanners.sentinel_pipeline import run_wash_trading
result = await run_wash_trading(req.address, req.chain)
await record_x402_payment("wash_trading", "0.08", req.address)
return {
"tool": "SENTINEL Wash Trading Detection",
"version": "1.0",
"timestamp": datetime.utcnow().isoformat(),
"address": req.address,
"chain": req.chain,
**result,
"guarantee": "Data delivered or auto-refund via x402 receipt",
}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e)) from e
@sub_router.post("/social_engineering")
async def social_engineering_endpoint(req: SentinelModuleRequest):
"""SENTINEL Social Engineering & Identity Fraud Detection.
Detects fake teams, AI-generated profiles, phishing domains,
copied whitepapers, and social engineering campaigns.
Pricing: $0.15
"""
try:
from app.social_engineering_detector import detect_social_engineering
result = await detect_social_engineering(
token_address=req.address,
chain=req.chain,
team_members=req.team_members if hasattr(req, "team_members") else None,
social_links=req.social_links if hasattr(req, "social_links") else None,
domain=req.domain if hasattr(req, "domain") else None,
whitepaper_text=req.whitepaper if hasattr(req, "whitepaper") else None,
)
await record_x402_payment("social_engineering", "0.15", req.address)
return {
**result,
"guarantee": "Data delivered or auto-refund via x402 receipt",
}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e)) from e
@sub_router.post("/metadata_fingerprint")
async def metadata_fingerprint_endpoint(req: SentinelModuleRequest):
"""SENTINEL Metadata Fingerprint - HTML structure hashing, description similarity, social overlap detection.
Pricing: $0.05
"""
try:
from app.scanners.sentinel_pipeline import run_metadata_fingerprint
result = await run_metadata_fingerprint(req.address, req.chain)
await record_x402_payment("metadata_fingerprint", "0.05", req.address)
return {
"tool": "SENTINEL Metadata Fingerprint",
"version": "1.0",
"timestamp": datetime.utcnow().isoformat(),
"address": req.address,
"chain": req.chain,
**result,
"guarantee": "Data delivered or auto-refund via x402 receipt",
}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e)) from e
@sub_router.post("/sentiment_check")
async def sentiment_check_endpoint(req: SentinelModuleRequest):
"""SENTINEL Sentiment Check - social sentiment scoring, bot campaign detection, pump probability.
Pricing: $0.05
"""
try:
from app.scanners.sentinel_pipeline import run_sentiment
result = await run_sentiment(req.address, req.chain)
await record_x402_payment("sentiment_check", "0.05", req.address)
return {
"tool": "SENTINEL Sentiment Check",
"version": "1.0",
"timestamp": datetime.utcnow().isoformat(),
"address": req.address,
"chain": req.chain,
**result,
"guarantee": "Data delivered or auto-refund via x402 receipt",
}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e)) from e
@sub_router.post("/pumpfun_analysis")
async def pumpfun_analysis_endpoint(req: SentinelModuleRequest):
"""SENTINEL PumpFun Analysis - bonding curve progress, bot detection, graduation probability (Solana only).
Pricing: $0.08
Only works for Solana tokens. Returns error for other chains.
"""
try:
if req.chain.lower() != "solana":
raise HTTPException(
status_code=400,
detail="PumpFun analysis is only available for Solana tokens. "
f"Received chain={req.chain}. Use chain='solana'.",
)
from app.scanners.sentinel_pipeline import run_pumpfun_analysis
result = await run_pumpfun_analysis(req.address)
await record_x402_payment("pumpfun_analysis", "0.08", req.address)
return {
"tool": "SENTINEL PumpFun Analysis",
"version": "1.0",
"timestamp": datetime.utcnow().isoformat(),
"address": req.address,
"chain": "solana",
**result,
"guarantee": "Data delivered or auto-refund via x402 receipt",
}
except HTTPException:
raise
except Exception as e:
raise HTTPException(status_code=500, detail=str(e)) from e

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"""x402 address-labels tools — multi-source wallet label resolver.
Phase 3A of AUDIT-2026-Q3.md (split from app/routers/x402_tools.py).
Endpoints mounted on sub_router:
POST /api/v1/x402-tools/address_labels
Resolved sources:
Etherscan labels, RolodETH, walletLabels.xyz, bluepages.fyi, internal RAG.
Other SENTINEL modules live in tools/evidence_tools.py and tools/report_tools.py.
"""
from __future__ import annotations
from datetime import datetime
from fastapi import APIRouter, HTTPException
from app.billing.x402.shared import (
SentinelModuleRequest,
record_x402_payment,
)
sub_router = APIRouter(tags=["x402-labels"])
@sub_router.post("/address_labels")
async def address_labels_endpoint(req: SentinelModuleRequest):
"""SENTINEL Address Labels - multi-source wallet address labeling.
Pricing: $0.08
Resolves any address across Etherscan labels, RolodETH, walletLabels.xyz,
bluepages.fyi, and internal RAG. Returns unified labels (exchange, MEV bot,
known scammer, deployer, etc.).
"""
try:
from app.scanners.sentinel_pipeline import run_address_labels
result = await run_address_labels(req.address, req.chain)
await record_x402_payment("address_labels", "0.08", req.address)
return {
"tool": "SENTINEL Address Labels",
"version": "1.0",
"timestamp": datetime.utcnow().isoformat(),
"address": req.address,
"chain": req.chain,
**result,
"guarantee": "Data delivered or auto-refund via x402 receipt",
}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e)) from e

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"""x402 market-side tools — launch radar, anomaly, chain health, MEV, gas.
Phase 3A of AUDIT-2026-Q3.md (split from app/routers/x402_tools.py).
Endpoints mounted on sub_router:
GET /api/v1/x402-tools/launch
POST /api/v1/x402-tools/launch_intel
POST /api/v1/x402-tools/anomaly
POST /api/v1/x402-tools/market_overview
POST /api/v1/x402-tools/chain_health
POST /api/v1/x402-tools/defi_yield_scanner
POST /api/v1/x402-tools/gas_forecast
POST /api/v1/x402-tools/sniper_alert
POST /api/v1/x402-tools/airdrop_finder
POST /api/v1/x402-tools/mev_protection
"""
from __future__ import annotations
from datetime import datetime
import aiohttp
from fastapi import APIRouter, HTTPException
from app.billing.x402.shared import (
FREE_RPCS,
GenericRequest,
fetch_with_fallback,
record_x402_payment,
rpc_call,
)
sub_router = APIRouter(tags=["x402-market-tools"])
# ═══════════════════════════════════════════════════════════════
# TOOL 4: Launch Radar ($0.50)
# ═══════════════════════════════════════════════════════════════
async def _detect_launches(chain: str, window_min: int) -> dict:
"""Detect new token launches with risk scoring."""
result = {"chain": chain, "window_minutes": window_min, "sources_used": []}
if chain == "solana":
# Layer 1: Pump.fun new tokens
try:
data, _ = await fetch_with_fallback(
[
"https://frontend-api.pump.fun/coins?offset=0&limit=50&sort=created_timestamp&order=desc"
]
)
if data:
launches = []
for coin in data:
mc = coin.get("usdMarketCap", 0)
vol = coin.get("totalVolume", 0)
score = 0
flags = []
if mc < 5000:
score += 30
flags.append("micro_cap")
if vol > mc * 5:
score += 20
flags.append("volume_spike")
launches.append(
{
"address": coin.get("mint"),
"name": coin.get("name"),
"symbol": coin.get("symbol"),
"market_cap": mc,
"volume": vol,
"risk_score": min(100, score),
"flags": flags,
"created": coin.get("createdTimestamp"),
}
)
result["launches"] = launches
result["sources_used"].append("pumpfun")
except Exception:
pass
# Layer 2: Raydium new pools
try:
data, _ = await fetch_with_fallback(["https://api.raydium.io/v2/main/pairs"])
if data and data.get("data"):
result["raydium_pools"] = len(data["data"])
result["sources_used"].append("raydium")
except Exception:
pass
# Layer 3: DexScreener - new pairs
try:
data, _ = await fetch_with_fallback(
[f"https://api.dexscreener.com/latest/dex/pairs/{chain}/recent"]
)
if data and data.get("pairs"):
result["dexscreener_pairs"] = len(data["pairs"])
result["sources_used"].append("dexscreener")
except Exception:
pass
return result
@sub_router.get("/launch")
async def launch_radar(chain: str = "solana", window_minutes: int = 5):
"""New token launch detection with risk scoring."""
try:
result = await _detect_launches(chain, window_minutes)
await record_x402_payment("launch", "0.03", f"api-{chain}")
return {
"tool": "Launch Radar",
"version": "2.0",
"timestamp": datetime.utcnow().isoformat(),
**result,
"guarantee": "Data delivered or auto-refund via x402 receipt",
}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e)) from e
# ═══════════════════════════════════════════════════════════════
# TOOL 16: Launch Intel ($0.05)
# ═══════════════════════════════════════════════════════════════
async def _launch_intel(chain: str, hours: int) -> dict:
"""Token launch intelligence."""
result = {"chain": chain, "hours": hours, "sources_used": []}
launches = []
# PumpFun new tokens
if chain == "solana":
try:
data, _ = await fetch_with_fallback(
[
"https://frontend-api.pump.fun/coins?offset=0&limit=20&sort=created_timestamp&order=desc"
]
)
if data and isinstance(data, list):
for c in data[:10]:
launches.append(
{
"mint": c.get("mint"),
"name": c.get("name"),
"symbol": c.get("ticker"),
"market_cap": c.get("usdMarketCap", 0),
"source": "pumpfun",
}
)
result["sources_used"].append("pumpfun")
except Exception:
pass
# DexScreener trending
try:
data, _ = await fetch_with_fallback(["https://api.dexscreener.com/latest/dex/search?q="])
if data and data.get("pairs"):
trending = sorted(
data["pairs"], key=lambda p: p.get("volume", {}).get("h24", 0), reverse=True
)[:5]
for p in trending:
launches.append(
{
"address": p.get("baseToken", {}).get("address"),
"symbol": p.get("baseToken", {}).get("symbol"),
"volume_24h": p.get("volume", {}).get("h24", 0),
"source": "dexscreener",
}
)
result["sources_used"].append("dexscreener")
except Exception:
pass
result["new_launches"] = launches
result["total_found"] = len(launches)
return result
@sub_router.post("/launch_intel")
async def launch_intel(req: GenericRequest):
"""Token launch intelligence."""
try:
result = await _launch_intel(req.chain, req.hours)
await record_x402_payment("launch_intel", "0.05", "scan")
return {
"tool": "Launch Intelligence",
"version": "2.0",
"timestamp": datetime.utcnow().isoformat(),
**result,
"guarantee": "Data delivered or auto-refund via x402 receipt",
}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e)) from e
# ═══════════════════════════════════════════════════════════════
# TOOL 17: Anomaly Detector ($0.08)
# ═══════════════════════════════════════════════════════════════
async def _anomaly_detector(chain: str) -> dict:
"""Market anomaly detection."""
result = {"chain": chain, "anomalies": [], "sources_used": []}
# Get market overview for comparison
try:
data, _ = await fetch_with_fallback(["https://api.coingecko.com/api/v3/global"])
if data and data.get("data"):
global_data = data["data"]
result["total_market_cap"] = global_data.get("total_market_cap", {}).get("usd", 0)
result["market_cap_change_24h"] = global_data.get(
"market_cap_change_percentage_24h_usd", 0
)
result["sources_used"].append("coingecko")
except Exception:
pass
# DexScreener for volume spikes
try:
data, _ = await fetch_with_fallback(["https://api.dexscreener.com/latest/dex/search?q="])
if data and data.get("pairs"):
for p in data["pairs"][:20]:
vol_h24 = p.get("volume", {}).get("h24", 0)
p.get("volume", {}).get("h6", 0)
liq = p.get("liquidity", {}).get("usd", 0)
if liq > 0 and vol_h24 > liq * 5:
result["anomalies"].append(
{
"type": "volume_spike",
"token": p.get("baseToken", {}).get("symbol"),
"address": p.get("baseToken", {}).get("address"),
"volume_24h": vol_h24,
"liquidity": liq,
"ratio": vol_h24 / liq if liq > 0 else 0,
}
)
result["sources_used"].append("dexscreener")
except Exception:
pass
result["anomaly_count"] = len(result["anomalies"])
result["market_health"] = (
"normal"
if result["anomaly_count"] < 3
else "elevated"
if result["anomaly_count"] < 7
else "critical"
)
return result
@sub_router.post("/anomaly")
async def anomaly_detector(req: GenericRequest):
"""Market anomaly detector."""
try:
chain = req.chain or "all"
result = await _anomaly_detector(chain)
await record_x402_payment("anomaly", "0.08", chain)
return {
"tool": "Anomaly Detector",
"version": "2.0",
"timestamp": datetime.utcnow().isoformat(),
**result,
"guarantee": "Data delivered or auto-refund via x402 receipt",
}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e)) from e
# ═══════════════════════════════════════════════════════════════
# TOOL 19: Market Overview ($0.05)
# ═══════════════════════════════════════════════════════════════
async def _market_overview(chain: str) -> dict:
"""Comprehensive market overview."""
result = {"chain": chain, "sources_used": []}
# CoinGecko global
try:
data, _ = await fetch_with_fallback(["https://api.coingecko.com/api/v3/global"])
if data and data.get("data"):
gd = data["data"]
result["total_market_cap_usd"] = gd.get("total_market_cap", {}).get("usd", 0)
result["total_volume_24h"] = gd.get("total_volume", {}).get("usd", 0)
result["btc_dominance"] = gd.get("market_cap_percentage", {}).get("btc", 0)
result["eth_dominance"] = gd.get("market_cap_percentage", {}).get("eth", 0)
result["active_cryptocurrencies"] = gd.get("active_cryptocurrencies", 0)
result["sources_used"].append("coingecko")
except Exception:
pass
# CoinGecko top coins
try:
data, _ = await fetch_with_fallback(
[
"https://api.coingecko.com/api/v3/coins/markets?vs_currency=usd&order=market_cap_desc&per_page=10&page=1"
]
)
if data:
result["top_coins"] = [
{
"symbol": c.get("symbol"),
"price": c.get("current_price"),
"market_cap": c.get("market_cap"),
"change_24h": c.get("price_change_percentage_24h"),
}
for c in data
]
result["sources_used"].append("coingecko_markets")
except Exception:
pass
# DeFiLlama TVL
try:
data, _ = await fetch_with_fallback(["https://api.llama.fi/v2/chains"])
if data:
result["chain_tvls"] = {c.get("name"): c.get("tvl") for c in data[:10]}
result["sources_used"].append("defillama")
except Exception:
pass
return result
@sub_router.post("/market_overview")
async def market_overview(req: GenericRequest):
"""Comprehensive market overview."""
try:
result = await _market_overview(req.chain)
await record_x402_payment("market_overview", "0.05", "overview")
return {
"tool": "Market Overview",
"version": "2.0",
"timestamp": datetime.utcnow().isoformat(),
**result,
"guarantee": "Data delivered or auto-refund via x402 receipt",
}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e)) from e
# ═══════════════════════════════════════════════════════════════
# TOOL 21: Chain Health ($0.05)
# ═══════════════════════════════════════════════════════════════
async def _chain_health(chain: str) -> dict:
"""Chain health metrics."""
result = {"chain": chain, "chains": {}, "sources_used": []}
chains_to_check = ["solana", "ethereum", "base", "bsc"] if chain == "all" else [chain]
# DeFiLlama TVL per chain
try:
data, _ = await fetch_with_fallback(["https://api.llama.fi/v2/chains"])
if data:
chain_map = {"solana": "Solana", "ethereum": "Ethereum", "base": "Base", "bsc": "BSC"}
for c in data:
name = c.get("name")
for key, val in chain_map.items():
if key in chains_to_check and val.lower() in name.lower():
result["chains"][key] = {
"tvl": c.get("tvl", 0),
"protocols": c.get("protocols", 0),
"chain_id": c.get("chainId"),
}
result["sources_used"].append("defillama")
except Exception:
pass
# RPC health check
for c in chains_to_check:
rpcs = FREE_RPCS.get(c, [])
healthy = 0
for rpc in rpcs[:2]:
try:
async with aiohttp.ClientSession() as session, session.post(
rpc,
json={
"jsonrpc": "2.0",
"id": 1,
"method": "eth_blockNumber" if c != "solana" else "getBlockHeight",
"params": [],
},
timeout=aiohttp.ClientTimeout(total=5),
) as resp:
if resp.status == 200:
healthy += 1
except Exception:
pass
result["chains"].setdefault(c, {})["rpc_healthy"] = healthy
return result
@sub_router.post("/chain_health")
async def chain_health(req: GenericRequest):
"""Chain health metrics."""
try:
result = await _chain_health(req.chain)
await record_x402_payment("chain_health", "0.05", req.chain)
return {
"tool": "Chain Health",
"version": "2.0",
"timestamp": datetime.utcnow().isoformat(),
**result,
"guarantee": "Data delivered or auto-refund via x402 receipt",
}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e)) from e
# ═══════════════════════════════════════════════════════════════
# TOOL 27: DeFi Yield Scanner ($0.08)
# ═══════════════════════════════════════════════════════════════
async def _defi_yield_scanner(chain: str) -> dict:
"""DeFi yield scanner."""
result = {"chain": chain, "sources_used": [], "pools": []}
# DeFiLlama yields
try:
data, _ = await fetch_with_fallback(["https://yields.llama.fi/pools"])
if data and data.get("data"):
pools = sorted(data["data"], key=lambda p: p.get("apy", 0), reverse=True)[:20]
for p in pools:
result["pools"].append(
{
"chain": p.get("chain"),
"project": p.get("project"),
"symbol": p.get("symbol"),
"tvl": p.get("tvlUsd", 0),
"apy": p.get("apy", 0),
"apy_base": p.get("apyBase", 0),
"apy_reward": p.get("apyReward", 0),
}
)
result["sources_used"].append("defillama")
except Exception:
pass
result["total_pools"] = len(result["pools"])
result["highest_apy"] = result["pools"][0]["apy"] if result["pools"] else 0
return result
@sub_router.post("/defi_yield_scanner")
async def defi_yield_scanner(req: GenericRequest):
"""DeFi yield scanner."""
try:
result = await _defi_yield_scanner(req.chain)
await record_x402_payment("defi_yield_scanner", "0.08", "scan")
return {
"tool": "DeFi Yield Scanner",
"version": "2.0",
"timestamp": datetime.utcnow().isoformat(),
**result,
"guarantee": "Data delivered or auto-refund via x402 receipt",
}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e)) from e
# ═══════════════════════════════════════════════════════════════
# TOOL 30: Gas Forecast ($0.05)
# ═══════════════════════════════════════════════════════════════
async def _gas_forecast(chain: str) -> dict:
"""Gas price forecast."""
result = {"chain": chain, "sources_used": []}
# EVM gas prices
if chain in ["base", "ethereum", "bsc"]:
try:
data = await rpc_call(chain, "eth_gasPrice", [])
if data:
gas_wei = int(data, 16)
gas_gwei = gas_wei / 1e9
result["current_gas_gwei"] = gas_gwei
result["current_gas_usd_estimate"] = gas_gwei * 0.001 # Rough estimate
result["sources_used"].append(f"{chain}_rpc")
except Exception:
pass
# Solana compute units
elif chain == "solana":
try:
result["sol_compute_unit_price"] = "dynamic (based on priority fees)"
result["sources_used"].append("solana_docs")
except Exception:
pass
# Blocknative gas station (free tier)
try:
data, _ = await fetch_with_fallback(["https://api.blocknative.com/gasprices"])
if data and data.get("estimatedPrices"):
result["blocknative"] = data["estimatedPrices"]
result["sources_used"].append("blocknative")
except Exception:
pass
return result
@sub_router.post("/gas_forecast")
async def gas_forecast(req: GenericRequest):
"""Gas price forecast."""
try:
result = await _gas_forecast(req.chain)
await record_x402_payment("gas_forecast", "0.05", req.chain)
return {
"tool": "Gas Forecast",
"version": "2.0",
"timestamp": datetime.utcnow().isoformat(),
**result,
"guarantee": "Data delivered or auto-refund via x402 receipt",
}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e)) from e
# ═══════════════════════════════════════════════════════════════
# TOOL 31: Sniper Alert ($0.05)
# ═══════════════════════════════════════════════════════════════
async def _sniper_alert(chain: str, hours: int) -> dict:
"""Sniper bot detection and alerts."""
result = {"chain": chain, "hours": hours, "sources_used": [], "sniper_activity": []}
# PumpFun for new tokens (sniper targets)
if chain == "solana":
try:
data, _ = await fetch_with_fallback(
[
"https://frontend-api.pump.fun/coins?offset=0&limit=10&sort=created_timestamp&order=desc"
]
)
if data and isinstance(data, list):
for c in data[:5]:
result["sniper_activity"].append(
{
"token": c.get("name"),
"mint": c.get("mint"),
"age_minutes": "recent",
"sniper_risk": "high"
if c.get("usdMarketCap", 0) > 100000
else "medium",
}
)
result["sources_used"].append("pumpfun")
except Exception:
pass
# DexScreener for abnormal early trading
try:
data, _ = await fetch_with_fallback(["https://api.dexscreener.com/latest/dex/search?q="])
if data and data.get("pairs"):
for p in data["pairs"][:10]:
txns = p.get("txns", {}).get("m5", {})
buys = txns.get("buys", 0)
if buys > 20:
result["sniper_activity"].append(
{
"token": p.get("baseToken", {}).get("symbol"),
"address": p.get("baseToken", {}).get("address"),
"buys_5m": buys,
"sniper_risk": "high",
"source": "dexscreener",
}
)
result["sources_used"].append("dexscreener")
except Exception:
pass
result["total_alerts"] = len(result["sniper_activity"])
return result
@sub_router.post("/sniper_alert")
async def sniper_alert(req: GenericRequest):
"""Sniper bot detection."""
try:
result = await _sniper_alert(req.chain, req.hours)
await record_x402_payment("sniper_alert", "0.05", req.chain)
return {
"tool": "Sniper Alert",
"version": "2.0",
"timestamp": datetime.utcnow().isoformat(),
**result,
"guarantee": "Data delivered or auto-refund via x402 receipt",
}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e)) from e
# ═══════════════════════════════════════════════════════════════
# TOOL 34: Airdrop Finder ($0.05)
# ═══════════════════════════════════════════════════════════════
async def _airdrop_finder(chain: str) -> dict:
"""Airdrop opportunity finder."""
result = {"chain": chain, "sources_used": [], "opportunities": []}
# DeFiLlama for new protocols (potential airdrops)
try:
data, _ = await fetch_with_fallback(["https://api.llama.fi/protocols"])
if data:
# Filter for protocols without tokens
no_token = [p for p in data if not p.get("token") and p.get("tvl", 0) > 10000000][:10]
for p in no_token:
result["opportunities"].append(
{
"name": p.get("name"),
"category": p.get("category"),
"tvl": p.get("tvl", 0),
"chains": p.get("chains", []),
"airdrop_potential": "high" if p.get("tvl", 0) > 100000000 else "medium",
}
)
result["sources_used"].append("defillama")
except Exception:
pass
result["total_opportunities"] = len(result["opportunities"])
return result
@sub_router.post("/airdrop_finder")
async def airdrop_finder(req: GenericRequest):
"""Airdrop opportunity finder."""
try:
result = await _airdrop_finder(req.chain)
await record_x402_payment("airdrop_finder", "0.05", "scan")
return {
"tool": "Airdrop Finder",
"version": "2.0",
"timestamp": datetime.utcnow().isoformat(),
**result,
"guarantee": "Data delivered or auto-refund via x402 receipt",
}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e)) from e
# ═══════════════════════════════════════════════════════════════
# TOOL 35: MEV Protection ($0.08)
# ═══════════════════════════════════════════════════════════════
async def _mev_protection(chain: str) -> dict:
"""MEV protection analysis."""
result = {"chain": chain, "sources_used": [], "mev_stats": {}}
if chain == "solana":
# Jito MEV stats
try:
data, _ = await fetch_with_fallback(
["https://stats.jito.network/api/v1/bundles?limit=10"]
)
if data:
result["mev_stats"]["jito"] = True
result["sources_used"].append("jito")
except Exception:
pass
# Check for MEV bots in recent blocks
try:
slot = await rpc_call("solana", "getSlot", [])
if slot:
result["current_slot"] = slot
result["mev_stats"]["slot"] = slot
result["sources_used"].append("solana_rpc")
except Exception:
pass
elif chain in ["base", "ethereum", "bsc"]:
# Flashbots stats
try:
data, _ = await fetch_with_fallback(["https://api.flashbots.net/stats"])
if data:
result["mev_stats"]["flashbots"] = True
result["sources_used"].append("flashbots")
except Exception:
pass
# Gas price for MEV detection
try:
gas = await rpc_call(chain, "eth_gasPrice", [])
if gas:
result["gas_price_gwei"] = int(gas, 16) / 1e9
result["sources_used"].append(f"{chain}_rpc")
except Exception:
pass
result["mev_risk"] = (
"high" if chain == "ethereum" else "medium" if chain in ["base", "bsc"] else "low"
)
result["protection_tips"] = [
"Use private RPC endpoints for large trades",
"Set appropriate slippage tolerance",
"Avoid trading during high volatility periods",
"Use MEV-protected order routing",
]
return result
@sub_router.post("/mev_protection")
async def mev_protection(req: GenericRequest):
"""MEV protection analysis."""
try:
result = await _mev_protection(req.chain)
await record_x402_payment("mev_protection", "0.08", req.chain)
return {
"tool": "MEV Protection",
"version": "2.0",
"timestamp": datetime.utcnow().isoformat(),
**result,
"guarantee": "Data delivered or auto-refund via x402 receipt",
}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e)) from e

View file

@ -0,0 +1,283 @@
"""x402 SENTINEL TIER 2/3 + visualization tools — flash loans, oracle, governance,
proxy, static analysis, decompilation, fund flow, contract diff.
Phase 3A of AUDIT-2026-Q3.md (split from app/routers/x402_tools.py).
Endpoints mounted on sub_router:
POST /api/v1/x402-tools/flash_loan_detect
POST /api/v1/x402-tools/pump_dump_detect
POST /api/v1/x402-tools/oracle_manipulation
POST /api/v1/x402-tools/governance_attack
POST /api/v1/x402-tools/proxy_detect
POST /api/v1/x402-tools/static_analysis
POST /api/v1/x402-tools/decompiler_analysis
POST /api/v1/x402-tools/fund_flow
POST /api/v1/x402-tools/contract_diff
Address labels live in tools/label_tools.py.
TIER 1 modules (holder analysis, bundle detect, etc.) live in
tools/evidence_tools.py.
"""
from __future__ import annotations
from datetime import datetime
from fastapi import APIRouter, HTTPException
from app.billing.x402.shared import (
SentinelModuleRequest,
record_x402_payment,
)
sub_router = APIRouter(tags=["x402-sentinel-t2-t3"])
@sub_router.post("/flash_loan_detect")
async def flash_loan_detect_endpoint(req: SentinelModuleRequest):
"""SENTINEL Flash Loan Detection - borrow-then-dump patterns, single-block exploits.
Pricing: $0.08
Detects wallet activity that matches flash loan attack patterns:
large buy/sell in consecutive blocks, near-zero pre-trade balance,
volume exceeding pool liquidity ratio.
"""
try:
from app.scanners.sentinel_pipeline import run_flash_loan_detection
result = await run_flash_loan_detection(req.address, req.chain)
await record_x402_payment("flash_loan_detect", "0.08", req.address)
return {
"tool": "SENTINEL Flash Loan Detection",
"version": "1.0",
"timestamp": datetime.utcnow().isoformat(),
"address": req.address,
"chain": req.chain,
**result,
"guarantee": "Data delivered or auto-refund via x402 receipt",
}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e)) from e
@sub_router.post("/pump_dump_detect")
async def pump_dump_detect_endpoint(req: SentinelModuleRequest):
"""SENTINEL Pump-and-Dump Detection - volume spikes, coordinated buys, lifecycle stage.
Pricing: $0.08
Detects pump-and-dump patterns: sudden volume spikes (>5x average),
coordinated fresh-wallet buy clusters, price-volume divergence,
and rug pull lifecycle stage (deploy/pump/distribution/dump).
"""
try:
from app.scanners.sentinel_pipeline import run_pump_dump_detection
result = await run_pump_dump_detection(req.address, req.chain)
await record_x402_payment("pump_dump_detect", "0.08", req.address)
return {
"tool": "SENTINEL Pump-and-Dump Detection",
"version": "1.0",
"timestamp": datetime.utcnow().isoformat(),
"address": req.address,
"chain": req.chain,
**result,
"guarantee": "Data delivered or auto-refund via x402 receipt",
}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e)) from e
@sub_router.post("/oracle_manipulation")
async def oracle_manipulation_endpoint(req: SentinelModuleRequest):
"""SENTINEL Oracle Manipulation - oracle source analysis, price manipulation vulnerability.
Pricing: $0.08
Analyzes oracle risk: single-source dependency, pool depth vulnerability,
DEX-vs-oracle price deviation, and overall manipulable score.
Critical for lending/borrowing protocols that rely on price feeds.
"""
try:
from app.scanners.sentinel_pipeline import run_oracle_manipulation
result = await run_oracle_manipulation(req.address, req.chain)
await record_x402_payment("oracle_manipulation", "0.08", req.address)
return {
"tool": "SENTINEL Oracle Manipulation",
"version": "1.0",
"timestamp": datetime.utcnow().isoformat(),
"address": req.address,
"chain": req.chain,
**result,
"guarantee": "Data delivered or auto-refund via x402 receipt",
}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e)) from e
@sub_router.post("/governance_attack")
async def governance_attack_endpoint(req: SentinelModuleRequest):
"""x402 Governance Attack - governance concentration, timelock/quorum risk detection.
Pricing: $0.08 (x402 tool #44)
Detects governance risks: top holder dominance (>50%), missing timelock,
low quorum thresholds enabling flash-loan governance attacks,
and admin key concentration on Solana programs.
Standalone module: app/governance_attack_detector.py
"""
try:
from app.governance_attack_detector import detect_governance_attack
result = await detect_governance_attack(req.address, req.chain)
await record_x402_payment("governance_attack", "0.08", req.address)
return {
"tool": "Governance Attack & Concentration Risk Detector",
"version": "1.0",
"pricing": "$0.08 per analysis, 1 free trial",
"timestamp": datetime.utcnow().isoformat(),
"token_address": req.address,
"chain": req.chain,
**result,
"guarantee": "Data delivered or auto-refund via x402 receipt",
}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e)) from e
@sub_router.post("/proxy_detect")
async def proxy_detect_endpoint(req: SentinelModuleRequest):
"""SENTINEL Proxy Detection - proxy resolution, implementation fingerprinting, upgrade risk.
Pricing: $0.08
Resolves proxy contracts to their real implementation, checks upgrade authority
and timelock status, and fingerprints implementation bytecode against known
rug contract patterns. Essential for EVM tokens behind proxies.
"""
try:
from app.scanners.sentinel_pipeline import run_proxy_detection
result = await run_proxy_detection(req.address, req.chain)
await record_x402_payment("proxy_detect", "0.08", req.address)
return {
"tool": "SENTINEL Proxy Detection",
"version": "1.0",
"timestamp": datetime.utcnow().isoformat(),
"address": req.address,
"chain": req.chain,
**result,
"guarantee": "Data delivered or auto-refund via x402 receipt",
}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e)) from e
@sub_router.post("/static_analysis")
async def static_analysis_endpoint(req: SentinelModuleRequest):
"""SENTINEL Static Analysis - Slither vulnerability detection + Forta alert integration.
Pricing: $0.12
Runs Slither static analysis on verified (or Heimdall-decompiled) contracts
and queries Forta public alerts for the address. Returns vulnerability findings
and active threat alerts.
"""
try:
from app.scanners.sentinel_pipeline import run_static_analysis
result = await run_static_analysis(req.address, req.chain)
await record_x402_payment("static_analysis", "0.12", req.address)
return {
"tool": "SENTINEL Static Analysis",
"version": "1.0",
"timestamp": datetime.utcnow().isoformat(),
"address": req.address,
"chain": req.chain,
**result,
"guarantee": "Data delivered or auto-refund via x402 receipt",
}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e)) from e
@sub_router.post("/decompiler_analysis")
async def decompiler_analysis_endpoint(req: SentinelModuleRequest):
"""SENTINEL Decompiler Analysis - Heimdall decompilation + whatsABI function extraction.
Pricing: $0.10
Decompiles unverified contract bytecode using Heimdall-rs, extracts function
selectors via PUSH4 scanning, and identifies dangerous rug-pull function signatures.
Essential for tokens with unverified source code.
"""
try:
from app.scanners.sentinel_pipeline import run_decompiler_analysis
result = await run_decompiler_analysis(req.address, req.chain)
await record_x402_payment("decompiler_analysis", "0.10", req.address)
return {
"tool": "SENTINEL Decompiler Analysis",
"version": "1.0",
"timestamp": datetime.utcnow().isoformat(),
"address": req.address,
"chain": req.chain,
**result,
"guarantee": "Data delivered or auto-refund via x402 receipt",
}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e)) from e
@sub_router.post("/fund_flow")
async def fund_flow_endpoint(req: SentinelModuleRequest):
"""SENTINEL Fund Flow Visualization - SVG fund flow graph for token analysis.
Pricing: $0.10
"""
try:
from app.scanners.sentinel_pipeline import run_fund_flow
result = await run_fund_flow(req.address, req.chain)
await record_x402_payment("fund_flow", "0.10", req.address)
return {
"tool": "SENTINEL Fund Flow",
"version": "1.0",
"timestamp": datetime.utcnow().isoformat(),
"address": req.address,
"chain": req.chain,
**result,
"guarantee": "Data delivered or auto-refund via x402 receipt",
}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e)) from e
@sub_router.post("/contract_diff")
async def contract_diff_endpoint(req: SentinelModuleRequest):
"""SENTINEL Contract Diff - bytecode hash comparison against known rug contracts.
Pricing: $0.10
Compares a token's contract bytecode against a database of known rug contracts.
Detects clones, forks, and near-identical contracts by hashing function selectors,
bytecode sections, and metadata patterns. Identifies dangerous function signatures
(withdrawAll, drain, setOwner, emergencyWithdraw) and rug-specific bytecode patterns.
"""
try:
from app.scanners.sentinel_pipeline import run_contract_diff
result = await run_contract_diff(req.address, req.chain)
await record_x402_payment("contract_diff", "0.10", req.address)
return {
"tool": "SENTINEL Contract Diff",
"version": "1.0",
"timestamp": datetime.utcnow().isoformat(),
"address": req.address,
"chain": req.chain,
**result,
"guarantee": "Data delivered or auto-refund via x402 receipt",
}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e)) from e

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@ -0,0 +1,821 @@
"""x402 token-side tools — risk, forensics, pulse, honeypot, rug predictor.
Phase 3A of AUDIT-2026-Q3.md (split from app/routers/x402_tools.py).
Endpoints mounted on sub_router:
POST /api/v1/x402-tools/audit
POST /api/v1/x402-tools/rugshield
POST /api/v1/x402-tools/forensics
POST /api/v1/x402-tools/pulse
POST /api/v1/x402-tools/honeypot_check
POST /api/v1/x402-tools/risk_monitor
POST /api/v1/x402-tools/rug_pull_predictor
POST /api/v1/x402-tools/liquidity_flow
POST /api/v1/x402-tools/token_deep_dive
POST /api/v1/x402-tools/token_comparison
"""
from __future__ import annotations
from datetime import datetime
from fastapi import APIRouter, HTTPException
from app.billing.x402.shared import (
GenericRequest,
MultiTokenRequest,
TokenRequest,
_audit_evm,
_audit_solana,
fetch_with_fallback,
record_x402_payment,
rpc_call,
)
sub_router = APIRouter(tags=["x402-token-tools"])
# ═══════════════════════════════════════════════════════════════
# TOOL 1: Deep Contract Audit ($0.50)
# ═══════════════════════════════════════════════════════════════
@sub_router.post("/audit")
async def deep_contract_audit(req: TokenRequest):
"""Full 100-point forensic scan. Returns risk score 0-100 with findings."""
try:
# Try primary first
if req.chain == "solana":
result = await _audit_solana(req.address)
else:
result = await _audit_evm(req.address, req.chain)
# If primary returned no data, use full fallback chain
if not result.get("sources_used"):
from app.auth import get_redis as _get_redis
from app.fallback_engine import try_all_fallbacks
r = await _get_redis()
fallback = await try_all_fallbacks(
"audit", address=req.address, chain=req.chain, redis=r
)
result.update(fallback)
result["data_source"] = "fallback"
await record_x402_payment("audit", "0.05", req.address)
return {
"tool": "Deep Contract Audit",
"version": "2.0",
"timestamp": datetime.utcnow().isoformat(),
**result,
"guarantee": "Data delivered or auto-refund via x402 receipt",
}
except Exception as e:
# Last resort: try fallback before raising error
try:
from app.auth import get_redis as _get_redis
from app.fallback_engine import try_all_fallbacks
r = await _get_redis()
fallback = await try_all_fallbacks(
"audit", address=req.address, chain=req.chain, redis=r
)
if fallback.get("fallback_layer") != "none":
await record_x402_payment("audit", "0.05", req.address)
return {
"tool": "Deep Contract Audit",
"version": "2.0",
"timestamp": datetime.utcnow().isoformat(),
**fallback,
"recovered_from_error": str(e),
"guarantee": "Data delivered or auto-refund via x402 receipt",
}
except Exception:
pass
raise HTTPException(status_code=500, detail=str(e)) from e
# ═══════════════════════════════════════════════════════════════
# TOOL 5: Rug Shield ($0.25)
# ═══════════════════════════════════════════════════════════════
async def _rug_shield(address: str, chain: str) -> dict:
"""Quick pre-buy safety check - fast binary verdict."""
result = {"chain": chain, "address": address, "sources_used": []}
risk_score = 0
flags = []
# Layer 1: DexScreener (fastest)
try:
data, _ = await fetch_with_fallback(
[f"https://api.dexscreener.com/latest/dex/tokens/{address}"], timeout=5
)
if data and data.get("pairs"):
pair = data["pairs"][0]
liq = pair.get("liquidity", {}).get("usd", 0)
vol = pair.get("volume", {}).get("h24", 0)
if liq < 1000:
risk_score += 30
flags.append("low_liq")
if liq < 100:
risk_score += 20
flags.append("micro_liq")
buyers = pair.get("txns", {}).get("h24", {}).get("buys", 0)
sellers = pair.get("txns", {}).get("h24", {}).get("sells", 0)
if sellers > buyers * 3:
risk_score += 25
flags.append("heavy_selling")
result["price_usd"] = pair.get("priceUsd", 0)
result["liquidity"] = liq
result["volume_24h"] = vol
result["sources_used"].append("dexscreener")
else:
risk_score += 40
flags.append("no_dex_data")
except Exception:
risk_score += 20
flags.append("dex_unavailable")
# Layer 2: Solana RPC - quick account check
if chain == "solana" and risk_score < 60:
try:
account = await rpc_call("solana", "getAccountInfo", [address, {"encoding": "base58"}])
if not account or not account.get("value"):
risk_score += 30
flags.append("no_account")
result["sources_used"].append("solana_rpc")
except Exception:
pass
# Layer 3: CoinGecko verification
try:
data, _ = await fetch_with_fallback(
[f"https://api.coingecko.com/api/v3/coins/{address}"], timeout=5
)
if data:
result["coingecko_verified"] = True
result["sources_used"].append("coingecko")
else:
result["coingecko_verified"] = False
except Exception:
pass
risk_score = min(100, risk_score)
verdict = "UNSAFE" if risk_score >= 60 else "CAUTION" if risk_score >= 30 else "SAFE"
result["verdict"] = verdict
result["risk_score"] = risk_score
result["flags"] = flags
return result
@sub_router.post("/rugshield")
async def rug_shield(req: TokenRequest):
"""Quick pre-buy safety check. Binary safe/unsafe in under 2 seconds."""
try:
result = await _rug_shield(req.address, req.chain)
await record_x402_payment("rugshield", "0.02", req.address)
return {
"tool": "Rug Shield",
"version": "2.0",
"timestamp": datetime.utcnow().isoformat(),
**result,
"guarantee": "Data delivered or auto-refund via x402 receipt",
}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e)) from e
# ═══════════════════════════════════════════════════════════════
# TOOL 10: Token Pulse ($0.25)
# ═══════════════════════════════════════════════════════════════
async def _token_pulse(address: str, chain: str) -> dict:
"""Comprehensive token health dashboard."""
result = {"chain": chain, "address": address, "sources_used": []}
# Layer 1: DexScreener - core metrics
try:
data, _ = await fetch_with_fallback(
[f"https://api.dexscreener.com/latest/dex/tokens/{address}"], timeout=8
)
if data and data.get("pairs"):
pair = data["pairs"][0]
result["price_usd"] = pair.get("priceUsd", 0)
result["liquidity"] = pair.get("liquidity", {}).get("usd", 0)
result["volume_24h"] = pair.get("volume", {}).get("h24", 0)
result["price_change_1h"] = pair.get("priceChange", {}).get("h1", 0)
result["price_change_6h"] = pair.get("priceChange", {}).get("h6", 0)
result["price_change_24h"] = pair.get("priceChange", {}).get("h24", 0)
result["txns_24h"] = pair.get("txns", {}).get("h24", {})
result["makers"] = pair.get("makers", {}).get("h24", 0)
result["fdv"] = pair.get("fdv", 0)
result["pair_age_hours"] = pair.get("pairCreatedAt", 0)
result["sources_used"].append("dexscreener")
except Exception:
pass
# Layer 2: Coingecko - additional metrics
try:
data, _ = await fetch_with_fallback(
[f"https://api.coingecko.com/api/v3/coins/{address}"], timeout=8
)
if data:
result["coingecko"] = {
"market_cap": data.get("market_data", {}).get("market_cap", {}).get("usd"),
"circulating_supply": data.get("market_data", {}).get("circulating_supply"),
"total_supply": data.get("market_data", {}).get("total_supply"),
}
result["sources_used"].append("coingecko")
except Exception:
pass
# Layer 3: Compute health score
score = 50 # baseline
if result.get("liquidity", 0) > 100000:
score += 15
elif result.get("liquidity", 0) > 10000:
score += 10
elif result.get("liquidity", 0) < 1000:
score -= 20
if result.get("volume_24h", 0) > 100000:
score += 10
elif result.get("volume_24h", 0) < 100:
score -= 15
change_24h = result.get("price_change_24h", 0)
if -10 <= change_24h <= 10:
score += 5 # stable
elif change_24h > 50:
score -= 10 # pump risk
elif change_24h < -30:
score -= 15 # dump
makers = result.get("makers", 0)
if makers > 1000:
score += 10
elif makers < 50:
score -= 10
if len(result["sources_used"]) >= 2:
score += 5
elif len(result["sources_used"]) == 0:
score -= 20
score = max(0, min(100, score))
# Trend direction
if result.get("price_change_24h", 0) > 5:
trend = "up"
elif result.get("price_change_24h", 0) < -5:
trend = "down"
else:
trend = "stable"
result["health_score"] = score
result["trend"] = trend
result["health_label"] = (
"excellent"
if score >= 80
else "good"
if score >= 60
else "fair"
if score >= 40
else "poor"
if score >= 20
else "critical"
)
return result
@sub_router.post("/pulse")
async def token_pulse(req: TokenRequest):
"""Token health dashboard - liquidity, volume, momentum, trajectory."""
try:
result = await _token_pulse(req.address, req.chain)
await record_x402_payment("pulse", "0.01", req.address)
return {
"tool": "Token Pulse",
"version": "2.0",
"timestamp": datetime.utcnow().isoformat(),
**result,
"guarantee": "Data delivered or auto-refund via x402 receipt",
}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e)) from e
# ═══════════════════════════════════════════════════════════════
# TOOL 14: Token Forensics ($0.10)
# ═══════════════════════════════════════════════════════════════
async def _token_forensics(address: str, chain: str) -> dict:
"""Deep token forensics combining multiple data sources."""
result = {"address": address, "chain": chain, "sources_used": []}
# DexScreener
try:
data, _ = await fetch_with_fallback(
[f"https://api.dexscreener.com/latest/dex/tokens/{address}"]
)
if data and data.get("pairs"):
pair = data["pairs"][0]
result["price_usd"] = pair.get("priceUsd", 0)
result["liquidity_usd"] = pair.get("liquidity", {}).get("usd", 0)
result["volume_24h"] = pair.get("volume", {}).get("h24", 0)
result["price_change_24h"] = pair.get("priceChange", {}).get("h24", 0)
result["pair_age_days"] = pair.get("pairCreatedAt", 0)
result["sources_used"].append("dexscreener")
except Exception:
pass
# CoinGecko
try:
data, _ = await fetch_with_fallback([f"https://api.coingecko.com/api/v3/coins/{address}"])
if data:
result["coingecko"] = {
"name": data.get("name"),
"symbol": data.get("symbol"),
"market_cap_rank": data.get("market_cap_rank"),
"current_price": data.get("market_data", {}).get("current_price", {}),
}
result["sources_used"].append("coingecko")
except Exception:
pass
# GeckoTerminal
try:
chain_map = {"solana": "solana", "base": "base", "ethereum": "eth", "bsc": "bsc"}
gecko_chain = chain_map.get(chain, chain)
data, _ = await fetch_with_fallback(
[f"https://api.geckoterminal.com/api/v2/networks/{gecko_chain}/tokens/{address}"]
)
if data and data.get("data"):
result["geckoterminal"] = True
result["sources_used"].append("geckoterminal")
except Exception:
pass
# DeFiLlama
try:
data, _ = await fetch_with_fallback([f"https://coins.llama.fi/token/{chain}:{address}"])
if data and data.get("coins"):
result["defillama"] = data["coins"]
result["sources_used"].append("defillama")
except Exception:
pass
# Risk scoring
risk_score = 0
findings = []
liq = result.get("liquidity_usd", 0)
if liq > 0 and liq < 1000:
risk_score += 25
findings.append(f"Very low liquidity: ${liq:,.0f}")
elif liq >= 1000 and liq < 10000:
risk_score += 15
findings.append(f"Low liquidity: ${liq:,.0f}")
vol = result.get("volume_24h", 0)
if liq > 0 and vol < liq * 0.01:
risk_score += 20
findings.append("Extremely low volume relative to liquidity")
if len(result["sources_used"]) == 0:
risk_score += 30
findings.append("No data from any source")
risk_score = min(100, risk_score)
result["risk_score"] = risk_score
result["findings"] = findings
result["recommendation"] = (
"AVOID" if risk_score >= 70 else "CAUTION" if risk_score >= 40 else "PROCEED"
)
return result
@sub_router.post("/forensics")
async def token_forensics(req: GenericRequest):
"""Deep token forensics report."""
try:
address = req.address or req.token or ""
result = await _token_forensics(address, req.chain)
await record_x402_payment("forensics", "0.10", address)
return {
"tool": "Token Forensics",
"version": "2.0",
"timestamp": datetime.utcnow().isoformat(),
**result,
"guarantee": "Data delivered or auto-refund via x402 receipt",
}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e)) from e
# ═══════════════════════════════════════════════════════════════
# TOOL 20: Token Deep Dive ($0.10)
# ═══════════════════════════════════════════════════════════════
@sub_router.post("/token_deep_dive")
async def token_deep_dive(req: GenericRequest):
"""Deep token analysis across chains."""
try:
query = req.address or req.token or req.query or ""
result = await _token_forensics(query, req.chain)
result["tool_name"] = "Token Deep Dive"
await record_x402_payment("token_deep_dive", "0.10", query)
return {
"tool": "Token Deep Dive",
"version": "2.0",
"timestamp": datetime.utcnow().isoformat(),
**result,
"guarantee": "Data delivered or auto-refund via x402 receipt",
}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e)) from e
# ═══════════════════════════════════════════════════════════════
# TOOL 22: Honeypot Check ($0.05)
# ═══════════════════════════════════════════════════════════════
async def _honeypot_check(address: str, chain: str) -> dict:
"""Honeypot detection."""
result = {"address": address, "chain": chain, "sources_used": []}
# DexScreener - check for trading activity
try:
data, _ = await fetch_with_fallback(
[f"https://api.dexscreener.com/latest/dex/tokens/{address}"]
)
if data and data.get("pairs"):
pair = data["pairs"][0]
txns = pair.get("txns", {}).get("h24", {})
buys = txns.get("buys", 0)
sells = txns.get("sells", 0)
result["buys_24h"] = buys
result["sells_24h"] = sells
result["sources_used"].append("dexscreener")
# If only buys and no sells, likely honeypot
if buys > 5 and sells == 0:
result["is_honeypot"] = True
result["confidence"] = 0.85
result["reason"] = "Many buys but zero sells in 24h"
elif buys > 0 and sells > 0:
result["is_honeypot"] = False
result["confidence"] = 0.7
result["reason"] = "Normal buy/sell ratio"
else:
result["is_honeypot"] = None
result["confidence"] = 0.3
result["reason"] = "Insufficient trading data"
else:
result["is_honeypot"] = None
result["reason"] = "No trading pairs found"
except Exception:
pass
# Check contract for EVM chains
if chain in ["base", "ethereum", "bsc"]:
try:
# Get contract code
code = await rpc_call(chain, "eth_getCode", [address, "latest"])
if code == "0x" or code is None:
result["is_contract"] = False
result["reason"] = "No contract code found"
else:
result["is_contract"] = True
result["sources_used"].append(f"{chain}_rpc")
except Exception:
pass
return result
@sub_router.post("/honeypot_check")
async def honeypot_check(req: GenericRequest):
"""Honeypot detection."""
try:
address = req.address or req.token or ""
result = await _honeypot_check(address, req.chain)
await record_x402_payment("honeypot_check", "0.05", address)
return {
"tool": "Honeypot Check",
"version": "2.0",
"timestamp": datetime.utcnow().isoformat(),
**result,
"guarantee": "Data delivered or auto-refund via x402 receipt",
}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e)) from e
# ═══════════════════════════════════════════════════════════════
# TOOL 25: Token Comparison ($0.08)
# ═══════════════════════════════════════════════════════════════
@sub_router.post("/token_comparison")
async def token_comparison(req: MultiTokenRequest):
"""Side-by-side token comparison."""
try:
comparisons = []
for addr in req.addresses[:5]:
result = await _token_forensics(addr, req.chain)
comparisons.append(
{
"address": addr,
"price_usd": result.get("price_usd", 0),
"liquidity_usd": result.get("liquidity_usd", 0),
"volume_24h": result.get("volume_24h", 0),
"risk_score": result.get("risk_score", 0),
"sources_used": result.get("sources_used", []),
}
)
await record_x402_payment("token_comparison", "0.08", ",".join(req.addresses[:3]))
return {
"tool": "Token Comparison",
"version": "2.0",
"timestamp": datetime.utcnow().isoformat(),
"tokens": comparisons,
"guarantee": "Data delivered or auto-refund via x402 receipt",
}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e)) from e
# ═══════════════════════════════════════════════════════════════
# TOOL 26: Risk Monitor ($0.05)
# ═══════════════════════════════════════════════════════════════
async def _risk_monitor(address: str, chain: str) -> dict:
"""Real-time risk monitoring."""
result = {"address": address, "chain": chain, "sources_used": [], "alerts": []}
# Check DexScreener for anomalies
try:
data, _ = await fetch_with_fallback(
[f"https://api.dexscreener.com/latest/dex/tokens/{address}"]
)
if data and data.get("pairs"):
pair = data["pairs"][0]
liq = pair.get("liquidity", {}).get("usd", 0)
pair.get("volume", {}).get("h24", 0)
price_change = pair.get("priceChange", {}).get("h24", 0)
if price_change < -50:
result["alerts"].append(
{
"type": "price_crash",
"severity": "critical",
"detail": f"Price down {price_change}% in 24h",
}
)
elif price_change < -20:
result["alerts"].append(
{
"type": "price_drop",
"severity": "warning",
"detail": f"Price down {price_change}% in 24h",
}
)
if liq < 1000:
result["alerts"].append(
{
"type": "low_liquidity",
"severity": "warning",
"detail": f"Liquidity only ${liq:,.0f}",
}
)
result["sources_used"].append("dexscreener")
except Exception:
pass
result["alert_count"] = len(result["alerts"])
result["risk_level"] = (
"critical"
if any(a["severity"] == "critical" for a in result["alerts"])
else "warning"
if result["alerts"]
else "normal"
)
return result
@sub_router.post("/risk_monitor")
async def risk_monitor(req: GenericRequest):
"""Real-time risk monitoring."""
try:
address = req.address or req.token or ""
result = await _risk_monitor(address, req.chain)
await record_x402_payment("risk_monitor", "0.05", address)
return {
"tool": "Risk Monitor",
"version": "2.0",
"timestamp": datetime.utcnow().isoformat(),
**result,
"guarantee": "Data delivered or auto-refund via x402 receipt",
}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e)) from e
# ═══════════════════════════════════════════════════════════════
# TOOL 32: Liquidity Flow ($0.08)
# ═══════════════════════════════════════════════════════════════
async def _liquidity_flow(address: str, chain: str) -> dict:
"""Liquidity flow analysis."""
result = {"address": address, "chain": chain, "sources_used": []}
# DexScreener liquidity data
try:
data, _ = await fetch_with_fallback(
[f"https://api.dexscreener.com/latest/dex/tokens/{address}"]
)
if data and data.get("pairs"):
pairs = data["pairs"]
result["pairs"] = []
total_liq = 0
for p in pairs[:5]:
liq = p.get("liquidity", {}).get("usd", 0)
total_liq += liq
result["pairs"].append(
{
"exchange": p.get("dexId"),
"base": p.get("baseToken", {}).get("symbol"),
"quote": p.get("quoteToken", {}).get("symbol"),
"liquidity_usd": liq,
"volume_24h": p.get("volume", {}).get("h24", 0),
}
)
result["total_liquidity_usd"] = total_liq
result["sources_used"].append("dexscreener")
except Exception:
pass
# DeFiLlama for protocol TVL
try:
data, _ = await fetch_with_fallback([f"https://coins.llama.fi/token/{chain}:{address}"])
if data and data.get("coins"):
coin = data["coins"][f"{chain}:{address}"]
result["price"] = coin.get("price", 0)
result["sources_used"].append("defillama")
except Exception:
pass
return result
@sub_router.post("/liquidity_flow")
async def liquidity_flow(req: GenericRequest):
"""Liquidity flow analysis."""
try:
address = req.address or req.token or ""
result = await _liquidity_flow(address, req.chain)
await record_x402_payment("liquidity_flow", "0.08", address)
return {
"tool": "Liquidity Flow",
"version": "2.0",
"timestamp": datetime.utcnow().isoformat(),
**result,
"guarantee": "Data delivered or auto-refund via x402 receipt",
}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e)) from e
# ═══════════════════════════════════════════════════════════════
# TOOL 33: Rug Pull Predictor ($0.10)
# ═══════════════════════════════════════════════════════════════
async def _rug_pull_predictor(address: str, chain: str) -> dict:
"""Rug pull prediction model."""
result = {"address": address, "chain": chain, "sources_used": [], "signals": []}
# Get token data
try:
data, _ = await fetch_with_fallback(
[f"https://api.dexscreener.com/latest/dex/tokens/{address}"]
)
if data and data.get("pairs"):
pair = data["pairs"][0]
liq = pair.get("liquidity", {}).get("usd", 0)
vol = pair.get("volume", {}).get("h24", 0)
pair_age = pair.get("pairCreatedAt", 0)
import time
age_hours = (time.time() * 1000 - pair_age) / 3600000 if pair_age else 999
# Rug pull signals
if liq < 5000:
result["signals"].append(
{"type": "low_liq", "weight": 0.3, "detail": f"Liquidity ${liq:,.0f}"}
)
if age_hours < 24:
result["signals"].append(
{"type": "new_token", "weight": 0.25, "detail": f"Age {age_hours:.1f}h"}
)
if vol > liq * 10:
result["signals"].append(
{
"type": "vol_spike",
"weight": 0.2,
"detail": f"Volume {vol / liq:.1f}x liquidity",
}
)
# Check holder concentration via Solana RPC
if chain == "solana":
try:
token_accounts = await rpc_call(
"solana",
"getTokenAccountsByOwner",
[
address,
{"programId": "TokenkegQfeZyiNwAJbNbGKPFXCWuBvf9Ss623VQ5DA"},
{"encoding": "jsonParsed"},
],
)
if token_accounts and token_accounts.get("value"):
holders = len(token_accounts["value"])
if holders < 50:
result["signals"].append(
{
"type": "few_holders",
"weight": 0.25,
"detail": f"Only {holders} holders",
}
)
result["holder_count"] = holders
result["sources_used"].append("solana_rpc")
except Exception:
pass
result["sources_used"].append("dexscreener")
except Exception:
pass
# Calculate rug pull probability
total_weight = sum(s["weight"] for s in result["signals"])
rug_probability = min(1.0, total_weight)
result["rug_probability"] = rug_probability
result["risk_level"] = (
"CRITICAL"
if rug_probability >= 0.7
else "HIGH"
if rug_probability >= 0.4
else "MEDIUM"
if rug_probability >= 0.2
else "LOW"
)
result["recommendation"] = (
"DO NOT BUY"
if rug_probability >= 0.7
else "EXTREME CAUTION"
if rug_probability >= 0.4
else "MONITOR"
if rug_probability >= 0.2
else "OK"
)
return result
@sub_router.post("/rug_pull_predictor")
async def rug_pull_predictor(req: GenericRequest):
"""Rug pull prediction."""
try:
address = req.address or req.token or ""
result = await _rug_pull_predictor(address, req.chain)
await record_x402_payment("rug_pull_predictor", "0.10", address)
return {
"tool": "Rug Pull Predictor",
"version": "2.0",
"timestamp": datetime.utcnow().isoformat(),
**result,
"guarantee": "Data delivered or auto-refund via x402 receipt",
}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e)) from e

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@ -0,0 +1,558 @@
"""x402 wallet-side tools — profiler, smartmoney, cluster, whale, portfolio.
Phase 3A of AUDIT-2026-Q3.md (split from app/routers/x402_tools.py).
Endpoints mounted on sub_router:
POST /api/v1/x402-tools/wallet
GET /api/v1/x402-tools/smartmoney
POST /api/v1/x402-tools/cluster
POST /api/v1/x402-tools/whale
POST /api/v1/x402-tools/portfolio_tracker
POST /api/v1/x402-tools/copy_trade_finder
Deployer-side wallet tools (insider tracker, whale_accumulation) live in
tools/deployer_tools.py to keep the boundary clean.
"""
from __future__ import annotations
import os
from datetime import datetime
from fastapi import APIRouter, HTTPException
from app.billing.x402.shared import (
ClusterRequest,
GenericRequest,
WalletListRequest,
WalletRequest,
fetch_with_fallback,
record_x402_payment,
rpc_call,
)
sub_router = APIRouter(tags=["x402-wallet-tools"])
# ═══════════════════════════════════════════════════════════════
# TOOL 2: Wallet Profiler ($0.75)
# ═══════════════════════════════════════════════════════════════
async def _profile_wallet(address: str, chain: str) -> dict:
"""Full wallet profile with persona detection and activity analysis."""
result = {"chain": chain, "address": address, "sources_used": []}
# Layer 1: Solana RPC - get balance + transaction count
if chain == "solana":
try:
balance = await rpc_call("solana", "getBalance", [address])
if balance is not None:
result["balance_sol"] = balance / 1e9
result["sources_used"].append("solana_rpc")
except Exception:
pass
# Get recent transactions
try:
sigs = await rpc_call("solana", "getSignaturesForAddress", [address, {"limit": 20}])
if sigs:
result["tx_count_recent"] = len(sigs)
result["last_tx"] = sigs[0].get("blockTime") if sigs else None
result["sources_used"].append("solana_txs")
# Analyze transaction patterns
success_count = sum(1 for s in sigs if s.get("err") is None)
result["success_rate"] = success_count / len(sigs) if sigs else 0
# Time-based analysis
if len(sigs) >= 2:
times = [s.get("blockTime", 0) for s in sigs if s.get("blockTime")]
if len(times) >= 2:
time_span = max(times) - min(times)
if time_span > 0:
result["tx_frequency"] = len(sigs) / (time_span / 86400) # per day
except Exception:
pass
# Get token accounts
try:
token_accounts = await rpc_call(
"solana",
"getTokenAccountsByOwner",
[
address,
{"programId": "TokenkegQfeZyiNwAJbNbGKPFXCWuBvf9Ss623VQ5DA"},
{"encoding": "jsonParsed"},
],
)
if token_accounts and token_accounts.get("value"):
result["token_count"] = len(token_accounts["value"])
result["sources_used"].append("solana_tokens")
except Exception:
pass
# Layer 2: DexScreener - check if wallet has interacted with known tokens
# (we can't directly query by wallet, but we use the balance/token data)
# Layer 3: Coingecko for any listed assets
# Layer 4: DeFiLlama for protocol interactions
# Persona detection
persona = "unknown"
confidence = 0
if result.get("tx_frequency", 0) > 50:
persona = "bot"
confidence = 85
elif result.get("tx_frequency", 0) > 10:
persona = "active_trader"
confidence = 70
elif result.get("token_count", 0) > 50:
persona = "collector"
confidence = 60
elif result.get("balance_sol", 0) > 1000:
persona = "whale"
confidence = 75
elif result.get("balance_sol", 0) > 100:
persona = "experienced"
confidence = 65
elif result.get("tx_count_recent", 0) > 0:
persona = "casual"
confidence = 50
else:
persona = "inactive"
confidence = 40
result["persona"] = persona
result["persona_confidence"] = confidence
return result
@sub_router.post("/wallet")
async def wallet_profiler(req: WalletRequest):
"""Full wallet analysis - persona, activity, holdings, patterns."""
try:
result = await _profile_wallet(req.address, req.chain)
await record_x402_payment("wallet", "0.05", req.address)
return {
"tool": "Wallet Profiler",
"version": "2.0",
"timestamp": datetime.utcnow().isoformat(),
**result,
"guarantee": "Data delivered or auto-refund via x402 receipt",
}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e)) from e
# ═══════════════════════════════════════════════════════════════
# TOOL 3: Smart Money Tracker ($1.00)
# ═══════════════════════════════════════════════════════════════
async def _get_smart_money(chain: str, threshold: float, limit: int) -> dict:
"""Track whale movements and smart money patterns."""
result = {"chain": chain, "threshold_usd": threshold, "sources_used": []}
# Layer 1: DexScreener trending
try:
data, _ = await fetch_with_fallback(
[
"https://api.dexscreener.com/latest/dex/search?q=",
]
)
if data and data.get("pairs"):
trending = sorted(
data["pairs"], key=lambda p: p.get("volume", {}).get("h24", 0), reverse=True
)[:limit]
result["trending_tokens"] = [
{
"address": p.get("baseToken", {}).get("address"),
"symbol": p.get("baseToken", {}).get("symbol"),
"volume_24h": p.get("volume", {}).get("h24", 0),
"liquidity": p.get("liquidity", {}).get("usd", 0),
}
for p in trending
]
result["sources_used"].append("dexscreener")
except Exception:
pass
# Layer 2: DefiLlama - top protocols by TVL change
try:
data, _ = await fetch_with_fallback(["https://api.llama.fi/protocols"])
if data:
protocols = sorted(
data, key=lambda p: p.get("chainTvls", {}).get(f"{chain}", 0), reverse=True
)[:10]
result["top_protocols"] = [
{"name": p.get("name"), "tvl": p.get("tvl")} for p in protocols
]
result["sources_used"].append("defillama")
except Exception:
pass
# Layer 3: CoinGecko - top gainers
try:
data, _ = await fetch_with_fallback(["https://api.coingecko.com/api/v3/search/trending"])
if data and data.get("coins"):
result["trending_coins"] = [
{"name": c.get("item", {}).get("name"), "symbol": c.get("item", {}).get("symbol")}
for c in data["coins"][:limit]
]
result["sources_used"].append("coingecko")
except Exception:
pass
# Layer 4: Pump.fun - new launches with high volume
if chain == "solana":
try:
data, _ = await fetch_with_fallback(
[
"https://frontend-api.pump.fun/coins?offset=0&limit=20&sort=last_trade_timestamp&order=desc&minMarketCap=10000&maxMarketCap=1000000"
]
)
if data:
result["new_launches"] = [
{
"mint": c.get("mint"),
"name": c.get("name"),
"market_cap": c.get("usdMarketCap"),
}
for c in data[:10]
if c.get("usdMarketCap", 0) > threshold
]
result["sources_used"].append("pumpfun")
except Exception:
pass
return result
@sub_router.get("/smartmoney")
async def smart_money_tracker(chain: str = "solana", threshold: float = 10000.0, limit: int = 20):
"""Real-time whale/insider tracking across chains."""
try:
result = await _get_smart_money(chain, threshold, limit)
await record_x402_payment("smartmoney", "0.05", f"api-{chain}")
return {
"tool": "Smart Money Tracker",
"version": "2.0",
"timestamp": datetime.utcnow().isoformat(),
**result,
"guarantee": "Data delivered or auto-refund via x402 receipt",
}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e)) from e
# ═══════════════════════════════════════════════════════════════
# TOOL 7: Cluster Detection ($1.00)
# ═══════════════════════════════════════════════════════════════
async def _cluster_analysis(address: str, chain: str, depth: int) -> dict:
"""Map wallet clusters and funding chains."""
result = {"chain": chain, "address": address, "depth": depth, "sources_used": []}
# Layer 1: Solana RPC - get transaction history
if chain == "solana":
try:
sigs = await rpc_call("solana", "getSignaturesForAddress", [address, {"limit": 100}])
if sigs:
result["transaction_count"] = len(sigs)
result["sources_used"].append("solana_txs")
# Extract counterparties
counterparties = set()
for sig in sigs[:20]:
try:
tx = await rpc_call(
"solana",
"getTransaction",
[
sig.get("signature"),
{"encoding": "jsonParsed", "maxSupportedTransactionVersion": 0},
],
)
if tx and tx.get("transaction") and tx["transaction"].get("message"):
accounts = tx["transaction"]["message"].get("accountKeys", [])
for acc in accounts:
addr = acc.get("pubkey") if isinstance(acc, dict) else acc
if addr and addr != address:
counterparties.add(addr)
except Exception:
pass
result["counterparties"] = list(counterparties)[:50]
result["cluster_size"] = len(counterparties)
except Exception:
pass
# Layer 2: DexScreener - check if address is a known deployer
# Layer 3: Etherscan/BaseScan for EVM chains
if chain in ["base", "ethereum", "bsc"]:
try:
explorer = "basescan.org" if chain == "base" else "etherscan.io"
api_base = f"https://api.{explorer}/api"
key_env = "BASESCAN_KEY" if chain == "base" else "ETHERSCAN_KEY"
key = os.getenv(key_env, "")
if key:
data, _ = await fetch_with_fallback(
[
f"{api_base}?module=account&action=txlist&address={address}&startblock=0&endblock=99999999&page=1&offset=20&sort=desc&apikey={key}"
]
)
if data and data.get("result"):
result["tx_count"] = len(data["result"])
result["sources_used"].append(f"{chain}_explorer")
except Exception:
pass
# Layer 4: Compute cluster metrics
result["cluster_risk"] = (
"low"
if result.get("cluster_size", 0) < 5
else "medium"
if result.get("cluster_size", 0) < 20
else "high"
)
return result
@sub_router.post("/cluster")
async def cluster_detection(req: ClusterRequest):
"""Wallet cluster mapping - sybil detection, hidden networks."""
try:
result = await _cluster_analysis(req.address, req.chain, req.depth)
await record_x402_payment("cluster", "0.05", req.address)
return {
"tool": "Cluster Detection",
"version": "2.0",
"timestamp": datetime.utcnow().isoformat(),
**result,
"guarantee": "Data delivered or auto-refund via x402 receipt",
}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e)) from e
# ═══════════════════════════════════════════════════════════════
# TOOL 15: Whale Decoder ($0.15)
# ═══════════════════════════════════════════════════════════════
async def _whale_decoder(address: str, chain: str) -> dict:
"""Advanced whale wallet analysis."""
result = {"address": address, "chain": chain, "sources_used": []}
# Solana RPC - get balance and transactions
if chain == "solana":
try:
balance = await rpc_call("solana", "getBalance", [address])
if balance is not None:
result["sol_balance"] = balance / 1e9
result["sources_used"].append("solana_rpc")
except Exception:
pass
try:
token_accounts = await rpc_call(
"solana",
"getTokenAccountsByOwner",
[
address,
{"programId": "TokenkegQfeZyiNwAJbNbGKPFXCWuBvf9Ss623VQ5DA"},
{"encoding": "jsonParsed"},
],
)
if token_accounts and token_accounts.get("value"):
tokens = token_accounts["value"]
result["token_count"] = len(tokens)
result["top_tokens"] = []
for t in tokens[:10]:
parsed = t.get("account", {}).get("data", {}).get("parsed", {}).get("info", {})
result["top_tokens"].append(
{
"mint": parsed.get("mint"),
"amount": parsed.get("tokenAmount", {}).get("uiAmount", 0),
}
)
result["sources_used"].append("solana_rpc_tokens")
except Exception:
pass
# EVM chain balance
elif chain in ["base", "ethereum", "bsc"]:
try:
balance = await rpc_call(chain, "eth_getBalance", [address, "latest"])
if balance:
result["native_balance_wei"] = balance
result["native_balance_eth"] = int(balance, 16) / 1e18
result["sources_used"].append(f"{chain}_rpc")
except Exception:
pass
# DexScreener for recent activity
try:
data, _ = await fetch_with_fallback(
[f"https://api.dexscreener.com/latest/dex/search?q={address[:10]}"]
)
if data and data.get("pairs"):
result["recent_pairs"] = len(data["pairs"])
result["sources_used"].append("dexscreener")
except Exception:
pass
# Persona detection
sol_balance = result.get("sol_balance", result.get("native_balance_eth", 0))
persona = "unknown"
if sol_balance > 1000:
persona = "mega_whale"
elif sol_balance > 100:
persona = "whale"
elif sol_balance > 10:
persona = "dolphin"
elif sol_balance > 1:
persona = "retail"
result["persona"] = persona
result["activity_level"] = (
"high"
if result.get("recent_pairs", 0) > 5
else "medium"
if result.get("recent_pairs", 0) > 1
else "low"
)
result["trust_score"] = (
85 if persona in ["whale", "mega_whale"] else 60 if persona == "dolphin" else 40
)
return result
@sub_router.post("/whale")
async def whale_decoder(req: GenericRequest):
"""Whale wallet decoder and analysis."""
try:
address = req.address or req.query or ""
result = await _whale_decoder(address, req.chain)
await record_x402_payment("whale", "0.15", address)
return {
"tool": "Whale Decoder",
"version": "2.0",
"timestamp": datetime.utcnow().isoformat(),
**result,
"guarantee": "Data delivered or auto-refund via x402 receipt",
}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e)) from e
# ═══════════════════════════════════════════════════════════════
# TOOL 23: Portfolio Tracker ($0.10)
# ═══════════════════════════════════════════════════════════════
async def _portfolio_tracker(addresses: list[str], chain: str) -> dict:
"""Multi-wallet portfolio tracker."""
result = {"addresses": addresses, "chain": chain, "sources_used": [], "wallets": []}
for addr in addresses[:5]: # Limit to 5 wallets
wallet_data = {"address": addr, "tokens": []}
# Solana balance
if chain == "solana":
try:
balance = await rpc_call("solana", "getBalance", [addr])
if balance is not None:
wallet_data["sol_balance"] = balance / 1e9
result["sources_used"].append("solana_rpc")
except Exception:
pass
# EVM balance
elif chain in ["base", "ethereum", "bsc"]:
try:
balance = await rpc_call(chain, "eth_getBalance", [addr, "latest"])
if balance:
wallet_data["native_balance"] = int(balance, 16) / 1e18
result["sources_used"].append(f"{chain}_rpc")
except Exception:
pass
result["wallets"].append(wallet_data)
result["total_wallets"] = len(result["wallets"])
return result
@sub_router.post("/portfolio_tracker")
async def portfolio_tracker(req: WalletListRequest):
"""Multi-wallet portfolio tracker."""
try:
result = await _portfolio_tracker(req.addresses, req.chain)
await record_x402_payment("portfolio_tracker", "0.10", ",".join(req.addresses[:3]))
return {
"tool": "Portfolio Tracker",
"version": "2.0",
"timestamp": datetime.utcnow().isoformat(),
**result,
"guarantee": "Data delivered or auto-refund via x402 receipt",
}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e)) from e
# ═══════════════════════════════════════════════════════════════
# TOOL 24: Copy Trade Finder ($0.10)
# ═══════════════════════════════════════════════════════════════
async def _copy_trade_finder(chain: str) -> dict:
"""Find profitable wallets to copy trade."""
result = {"chain": chain, "sources_used": []}
# DexScreener for top gainers
try:
data, _ = await fetch_with_fallback(["https://api.dexscreener.com/latest/dex/search?q="])
if data and data.get("pairs"):
gainers = sorted(
data["pairs"], key=lambda p: p.get("priceChange", {}).get("h24", 0), reverse=True
)[:10]
result["top_gainers"] = [
{
"symbol": p.get("baseToken", {}).get("symbol"),
"price_change_24h": p.get("priceChange", {}).get("h24", 0),
"volume_24h": p.get("volume", {}).get("h24", 0),
"liquidity": p.get("liquidity", {}).get("usd", 0),
}
for p in gainers
]
result["sources_used"].append("dexscreener")
except Exception:
pass
result["smart_wallets"] = [] # Would need on-chain analysis for this
result["copy_trades"] = []
return result
@sub_router.post("/copy_trade_finder")
async def copy_trade_finder(req: GenericRequest):
"""Copy trade intelligence."""
try:
result = await _copy_trade_finder(req.chain)
await record_x402_payment("copy_trade_finder", "0.10", "scan")
return {
"tool": "Copy Trade Finder",
"version": "2.0",
"timestamp": datetime.utcnow().isoformat(),
**result,
"guarantee": "Data delivered or auto-refund via x402 receipt",
}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e)) from e