AI-powered rug pull detection system for Solana tokens. Aggregates on-chain data from multiple sources, scores risk using AI (Claude or DeepSeek), and delivers results through a real-time dashboard.

• Multi-LLM Scoring — Choose between Anthropic Claude or DeepSeek for AI risk analysis
• Multi-Platform Feeds — Monitor tokens from Bags.fm, pump.fun, LetsBonk, Moonshot
• Real-Time Dashboard — WebSocket-powered live scoring with search, filter, and pagination
• Tiered API Access — Free/Builder/Pro tiers with rate limiting and daily call caps
• Score History & Re-Scoring — 24-hour automatic re-scoring with visual score timeline
• Creator Leaderboard — Reputation ranking of token creators by average risk score
• Pro Watchlist — Custom token watchlists for Pro-tier API key users
• Batch Scanning — Scan up to 50 tokens in a single API call (Builder+ tier)
• Embeddable Widget — Drop-in risk badge for external sites
• External Verification Links — Quick links to Solscan, Birdeye, DexScreener, BubbleMaps
• Twitter Alerts — Automated high-risk token alerts (when auto-scan enabled)

• Python 3.10+
• API keys: Helius, Birdeye, and one LLM provider (Anthropic or DeepSeek)

git clone https://github.com/RunTimeAdmin/ScamHound.git
cd ScamHound/scamhound
python -m venv venv
source venv/bin/activate  # Linux/Mac
# or: venv\Scripts\activate  # Windows
pip install -r ../requirements.txt
cp .env.example .env
# Edit .env with your API keys
python main.py

Dashboard available at http://localhost:8000

Configuration is read from .env and optionally overridden by scamhound/config.json (written from the settings page). See .env.example for the complete reference.

Use SCAMHOUND_SOAK_MODE=true during score validation windows to avoid billing while observing model quality. Monitor summary metrics with:

• GET /api/soak/audit
• GET /api/_legacy/soak/audit
• GET /api/soak/audit/samples (manual spot-check sample set)

Generate a local soak report from SQLite:

python scamhound/soak_report.py --summary-limit 200 --sample-limit 50

┌─────────────────────────────────────────────────┐
│                 Platform Router                   │
│  (Bags.fm │ pump.fun │ LetsBonk │ Moonshot)     │
└─────────────────┬───────────────────────────────┘
                  │ new tokens
                  ▼
┌─────────────────────────────────────────────────┐
│              Enrichment Layer                     │
│  Helius (on-chain) │ Birdeye (market) │ BMaps   │
└─────────────────┬───────────────────────────────┘
                  │ enriched data
                  ▼
┌─────────────────────────────────────────────────┐
│            AI Scoring Engine                      │
│     Claude / DeepSeek → Risk Score 0-100         │
└─────────────────┬───────────────────────────────┘
                  │ scored tokens
                  ▼
┌─────────────────────────────────────────────────┐
│           Delivery Layer                         │
│  Dashboard │ API │ WebSocket │ Twitter │ Widget  │
└─────────────────────────────────────────────────┘

See deploy/README.md for full instructions. Quick summary:

# On VPS (Ubuntu 22.04)
cd /opt/scamhound
git pull
systemctl restart scamhound
journalctl -u scamhound --no-pager -n 10

Why isn't auto-scanning running? Set AUTO_SCAN_ENABLED=true in your .env. It defaults to false to prevent accidental API credit usage.

How do I switch to DeepSeek (cheaper)? Set LLM_PROVIDER=deepseek and DEEPSEEK_API_KEY=your_key in .env.

Why did a token's score change? ScamHound re-scores tokens every 24 hours. Check the score history chart on the token detail page.

MIT