/binance-leaderboard

name: binance-leaderboard
description: |
  On-chain wallet leaderboard and Gem Hunter analysis on Binance Web3. Query top trader
  rankings by PnL, win rate, volume, trade count, or token count across BSC/Solana/Base/ETH.
  Analyze individual wallet addresses with a 6-dimension scoring model (winrate/stability/drawdown/
  tags/pnl/follow_friendly) plus AI archetype overlay. Query Gem Hunter to find wallets holding
  specific tokens. Save and load preset filter conditions and Gem Hunter configs.
  Trigger whenever the user mentions leaderboard, top traders, wallet analysis,
  Address Analysis, AddressScore, Gem Hunter, or wants to evaluate a wallet's trading quality — even if they
  don't say "leaderboard" explicitly.
metadata:
  author: binance-web3-team
  version: "1.1"
  openclaw:
    requires:
      bins:
        - baw
    install:
      - kind: node
        package: '@binance/agentic-wallet'
        bins: [baw]
        label: Install Binance Agentic Wallet CLI (npm)

Binance Leaderboard Skill

On-chain wallet leaderboard ranking and address analysis. Query top traders by PnL, win rate, and more. Evaluate wallet quality with a 6-dimension scoring model.

Prerequisites

This skill requires the `baw` CLI (`@binance/agentic-wallet` npm package). If `baw` is not found:

npm install -g @binance/agentic-wallet

Verify: `baw --version` should print `1.6.2` or higher. If installation fails or the user doesn't have Node.js, inform them that Node.js >= 18 is required.

When to Use

| User intent | Command | |-------------|---------| | Query top traders by PnL/win rate/volume | `baw leaderboard query` | | Analyze a single wallet address (6-dim score + AI archetype) | `baw leaderboard analyze` | | Find wallets holding specific tokens (Gem Hunter) | `baw leaderboard alpha-radar` | | Save/load preset filter conditions | `baw leaderboard preset save/list` | | Save/load Gem Hunter configs | `baw leaderboard alpha-radar-config save/list` |

Supported Chains

| Chain | chainId | |-------|---------| | BSC | `56` | | Solana | `CT_501` | | Base | `8453` | | Ethereum | `1` |

Command Tree

baw leaderboard
  query                     # Leaderboard query (Public, no auth)
  analyze                   # Single address analysis (6-dim score + AI overlay)
  alpha-radar              # Gem Hunter query (Private, agentSessionId)
  preset
    save                    # Save preset filters (Private)
    list                    # List preset filters (Private)
  alpha-radar-config
    save                    # Save Gem Hunter config (Private)
    list                    # List Gem Hunter config (Private)

All commands support `--json` for structured output.

Leaderboard Query

# Basic query — top 20 by PnL on BSC, 7d period
baw leaderboard query -c 56 -p 7d -t ALL --json

# Sort by win rate, KOL tag only
baw leaderboard query -c 56 -p 30d -t KOL --sort-by 20 --json

# Pagination (page from 0, size max 20)
baw leaderboard query -c 56 -p 7d --page 0 --size 20 --json

**Public endpoint** — no auth required. Returns per-address PnL, win rate, volume, trade count, token distribution, daily PNL, and top earning tokens.

Key query parameters: `-c/--chain-id` (required), `-p/--period` (7d/30d/90d), `-t/--tag` (ALL/KOL/MPC), `--sort-by` (0=PnL · 20=Win Rate · 30=Total Volume · 50=Trade Count · 60=Recent Activity · 70=Profit Rate · 80=Token Count), `--order-by` (0/2=Descending · 1=Ascending), `--page` (from 0), `--size` (max 20).

Full parameter and return field reference: [`references/cli.md`](references/cli.md)

Single Address Analyze

# Analyze a wallet address — 6-dim scoring + AI archetype
# Default scans top 1000 entries
baw leaderboard analyze -c 56 -a 0xabc... --json

# Scan more entries (up to 5000) for long-tail addresses
baw leaderboard analyze -c 56 -a 0xabc... --top-n 5000 --json

Evaluates the address across 6 dimensions (winrate 25 + stability 20 + drawdown 20 + tags 15 + pnl 10 + follow_friendly 10 = 100), then applies an AI overlay (archetype + behavior_flags + ai_adjustment ±10).

**Flow**: Query leaderboard top 1000 (configurable via `--top-n`) → reverse-lookup the target address → compute scores → apply AI overlay → output rating.

**Rating**: ⭐⭐⭐ ≥ 80 · ⭐⭐ ≥ 65 · ⭐ ≥ 50 · ❌ < 50

If the address is not in the top N (default 1000), returns "N beyond top". Use `--top-n` to increase scan range up to 5000.

Full scoring model details: [`references/scoring.md`](references/scoring.md)

Gem Hunter

# Find wallets holding specific tokens
baw leaderboard alpha-radar -c 56 \
  -t 0xtoken1,0xtoken2 \
  -m 1 --json

**Private endpoint** — requires `agentSessionId`. Extra required params: `-t/--tokens` (comma-separated token addresses), `-m/--match-count` (≥ 1). Supports `-p/--period`, `--page`, `--size` like query.

Returns records with the same fields as leaderboard query, but `topEarningTokens` replaced by `marchedTokens` (matched tokens).

**Note**: The field is spelled `marchedTokens` (not "matched") in the CLI output.

Preset & Gem Hunter Config

# Save preset filter conditions (pass null/empty to clear all)
baw leaderboard preset save --config '[{"name":"MyPreset","period":"7d","winRateMin":50}]' --json

# List saved presets
baw leaderboard preset list --json

# Save Gem Hunter config (pass null/empty to clear)
baw leaderboard alpha-radar-config save -c 56 \
  --config '[{"uuid":"u1","name":"MyRadar","matchTokenCount":2,"tokenAddressList":[{"tokenAddress":"0xabc"}]}]' --json

# List saved configs
baw leaderboard alpha-radar-config list -c 56 --json

Core Rules

Scoring Model Overview

6-dimension model (total 100) + AI overlay (±10). Dimensions: winrate (25), stability (20), drawdown (20), tags (15), pnl (10), follow_friendly (10). Full tiered scoring tables and AI overlay rules: [`references/scoring.md`](references/scoring.md).

Top-N Reverse Lookup

`analyze` queries the leaderboard's top 1000 entries (