Inspiration
The Problem Over $2.8B was lost to crypto rug pulls and scams in 2025. New investors can't tell if a token is safe before buying. Manual research takes hours and requires deep technical knowledge.
Our Solution
RugCheck AI is a real-time AI risk analyzer for Solana tokens using LangGraph agents. Paste a token address and get an instant risk score from 0-100, plus AI-generated explanations of red flags like liquidity locks, holder distribution, and contract risks.
How we built it
- AI Model: Classification model to detect scam patterns from contract code + on-chain data
- Backend: Python + FastAPI deployed on Replit
- AI Agent: Integrated LLM to explain risks in plain English so beginners understand
- Try it live: https://30va2e1gu7ri1.sisko.replit.dev
What makes it special for ZerveHack We built an autonomous AI Agent using LLM reasoning to break down complex contract risks. This aligns with Zerve AI's vision of building intelligent agents that solve real-world problems.
What's next Add support for Solana + BSC, Chrome extension for 1-click scanning, and community-powered scam reporting.
How we built it
- AI Model: Classification model to detect scam patterns from contract code + on-chain data
- Backend: Python + FastAPI deployed on Replit
- AI Agent: Integrated LLM to explain risks in plain English so beginners understand
- Try it live: [GANTI PAKE LINK REPLIT LU]
What makes it special for ZerveHack
We built an autonomous AI Agent using LLM reasoning to break down complex contract risks. This aligns with Zerve AI's vision of building intelligent agents that solve real-world problems.
What's next
Add support for Solana + BSC, Chrome extension for 1-click scanning, and community-powered scam reporting.
What it does
How we built it
Challenges we ran into
Accomplishments that we're proud of
What we learned
What's next for juri jerve AI
Built With
- coingecko-api
- fastapi
- langgraph
- llm-api
- pandas
- python
- replit
- scikit-learn
- solana
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