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CryptoRugMunch

Rug Munch Intelligence

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
RUG_MUNCH_API_KEYNoAPI key to bypass x402 micropayments.

Capabilities

Features and capabilities supported by this server

CapabilityDetails
tools
{
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
check_token_risk

CRITICAL: Check a token's rug pull risk score BEFORE any transaction. Returns 0-100 risk score, honeypot detection, deployer history, freeze authority check, holder concentration, and SAFE/CAUTION/AVOID recommendation. Cost: $0.04 per check. The cheapest insurance in crypto.

check_token_risk_premium

Premium deep risk analysis with full category breakdown, deployer cross-reference, social OSINT, holder intelligence, and historical pattern matching. Use for high-value positions. Cost: $0.10.

check_batch_risk

Batch risk check for up to 20 tokens at once. Returns risk scores and recommendations for all tokens. Ideal for portfolio screening. Cost: $0.30 (~$0.015 per token).

check_deployer_history

Check a token deployer's full history: tokens deployed, rug count, classification (legitimate_builder / suspicious / serial_rugger). Essential for evaluating new token trustworthiness. Cost: $0.06.

get_token_intelligence

Comprehensive token data: price, volume, market cap, holder stats, LP lock status, authority flags, buy/sell ratios, and top holders. Cost: $0.06.

get_holder_deepdive

Deep holder analysis: sniper detection, Jito bundle analysis, fresh wallet clustering, whale concentration, connected wallet patterns. Detects coordinated manipulation. Cost: $0.10.

get_social_osint

Social infrastructure analysis: Twitter account recycling, domain age, Telegram group legitimacy, cross-references with known scam infrastructure. Cost: $0.06.

get_kol_shills

KOL shill pattern detection: which influencers promote this token, their buy timing vs shill timing, coordinated pump patterns. Cost: $0.06.

get_coordinated_buys

Detect coordinated buying across tracked KOLs. Identifies tokens where multiple influencers bought within a short window. Cost: $0.04.

check_blacklist

Check if a token is community-flagged. Community-sourced intelligence with reputation-weighted flags. Cost: $0.02.

check_scammer_wallet

Check if a wallet belongs to a known scammer, serial rugger, or flagged entity. Cost: $0.02.

get_market_risk_index

Daily market-wide rug risk index (0-100). Components: high_risk_ratio, rug_velocity, liquidity_drains, deployer_activity. High = more rugs happening = exercise caution. Cost: $0.02.

get_serial_ruggers

Known serial rug deployer watchlist. Cross-reference before trusting new tokens. Cost: $0.02.

marcus_quick

AI forensic verdict by Marcus Aurelius (Claude Sonnet 4). One-paragraph analysis with risk score, key flags, and Stoic wisdom. ~5-30s latency. Cost: $0.15.

marcus_forensics

Full AI forensic investigation by Marcus Aurelius (Claude Sonnet 4). Covers deployer history, holder patterns, social OSINT, KOL cross-reference, contract security, liquidity, and trading patterns. ~15-60s. Cost: $0.50.

marcus_ultra

The deepest AI forensic analysis available. Powered by Claude Opus 4 with extended reasoning. Catches subtle patterns: connected wallet clusters, timing correlations, historical rug playbook matching. ~30-120s. Cost: $2.00.

marcus_thread

X/Twitter-thread-ready forensic analysis. 5-8 posts, each ≤280 chars. Perfect for research posting. Cost: $1.00.

watch_token

Set up real-time token monitoring with webhook alerts. When risk changes, rug detected, or price drops, we POST to your webhook. Covers 7 days. No other service offers proactive rug detection. Cost: $0.20.

get_api_status

Get service status, performance metrics, trust score, and pricing. FREE — no payment required. Use this to verify the service is up before making paid calls.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

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