What problem does it solve?
Evaluating which on-chain wallets are worth following requires manually digging through blockchain explorers and trade histories. This Skill gives AI agents direct access to Binance Web3's trader leaderboard, a 6-dimension wallet scoring model, and Gem Hunter token-holder discovery, so users can rank top traders and audit any wallet's trading quality through natural language.
Core Features & Use Cases
- Leaderboard Query: Rank top traders by PnL, win rate, volume, trade count, or token count across BSC, Solana, Base, and Ethereum over 7/30/90-day periods, with KOL and MPC tag filters.
- Address Analysis: Score any wallet on a 100-point model (win rate, stability, drawdown, tags, PnL, follow-friendliness) plus an AI archetype overlay (Sniper, Swing Trader, Accumulator, Farmer) with star ratings.
- Gem Hunter: Find wallets holding specific token contracts, and save reusable preset filters and Gem Hunter configs.
- Use Case: Ask your agent to analyze a wallet address before copy-trading it — you get a star rating, dimension-by-dimension breakdown, and trading style classification in one reply.
Quick Start
Ask your agent to analyze the wallet address 0xabc... on BSC and show its rating, score breakdown, and trading style.