Catch rugs before they catch you.
Receipt-first crypto intelligence · Multi-chain token risk analysis · AI-powered scam detection
CryptoRugMunch is a multi-chain crypto intelligence platform that analyzes tokens for rug pull risk, honeypot traps, and deployer fraud. Built on Python/FastAPI with 20+ Docker microservices, it operates through:
- 🤖 Telegram Bot —
/scan <address>for instant risk analysis (Solana, Ethereum, Base) - 🌐 Browser Extension — Risk badges on DexScreener, Pump.fun, Jupiter, Raydium, BullX, GMGN, Birdeye, Photon (Chrome, Firefox, Safari)
- ⚡ Agent API — x402-paywalled endpoints for AI agents and bots
- 🔌 MCP Server — Model Context Protocol integration for AI tools (Claude Desktop, Cursor, Windsurf)
- 🧠 Marcus Aurelius — LLM-powered Stoic crypto forensics analyst: natural language understanding, multi-source intelligence (X sentiment, Polymarket, web search, graph memory), autonomous token discovery, KOL tracking & shill detection, outcome learning, and the Marcus Index (daily market risk score). Runs as 5 dedicated microservices.
- 7 rug pattern detectors with LP lock verification and Gini coefficient analysis
- Bundle & sniper detection for coordinated launch buying
- Deployer intelligence — cross-referencing against known serial ruggers
- Contract security via GoPlus, TokenSniffer, and Jito MEV analysis
- KOL tracking — monitoring, shill detection, convergence alerts
- Community intelligence — scam flagging, voting, appeals, reputation system
- "You Dodged This" — DMs users when a previously scanned token rugs
| Detail | Value |
|---|---|
| Blockchain | Solana |
| Mint | Eme5T2s2HB7B8W4YgLG1eReQpnadEVUnQBRjaKTdBAGS |
| Supply | 1B (fixed, immutable) |
| Utility | Tier eligibility for scan discounts and premium access |
- Bot: @cryptorugmuncher
- Community: Telegram
- X/Twitter: @CryptoRugMunch
- Developer: @newInstanceOfObject
- Email: dev.crm.paradox703@passinbox.com
No insiders, no KOLs, no BS. Just receipts. 🛡️
