ClawHub

Base Alpha Scanner

Real-time Base chain alpha intelligence for ZHAO (CryptoZhaoX). Use when scanning Base memecoins for second-wave setups or early gem launches; checking GMGN smart money flows; analyzing holder distribution for a Base token; scanning Clanker or Bankr.fun for high-quality narrative token deployments; monitoring VIRTUAL Protocol AI agent launches; running the AI narrative scanner on Base; generating trade alerts on Base memecoins or mainstream assets (BTC/ETH/UNI); any on-chain analysis task on Base chain.

Audits

Pass
ClawScanPass

Agentic behavior and permission review.

Static analysisPass

Pattern checks against bundled files.

VirusTotalPass

Multi-engine malware detections and file reputation.

Install

openclaw skills install base-alpha-scanner

Base Alpha Scanner

ZHAO's on-chain intelligence toolkit for Base chain. Data-first, no hype. Alert only on high-conviction setups.

Scripts

scan_base.py — Core on-chain scanner

python3 skills/base-alpha-scanner/scripts/scan_base.py --mode <mode> [addr]

Modes:

  • trending — Top Base tokens ranked by conviction score (1h)
  • new — Early launch scanner: 0–45min + 45min–3h windows
  • token <addr> — Deep dive on specific token (all timeframes)
  • holders <addr> — Holder distribution + concentration check
  • gmgn <addr> — GMGN smart money data (may need browser fallback)

scan_narrative.py — Narrative & platform scanner

python3 skills/base-alpha-scanner/scripts/scan_narrative.py --mode <mode>

Modes:

  • clanker — Latest Clanker token deployments on Base
  • bankr — Bankr.fun trending tokens (Farcaster-native)
  • virtual — VIRTUAL Protocol AI agent ecosystem
  • ai — Broad AI narrative scan across Base

Workflow

Standard market scan (run on demand or every 1–2h):

  1. scan_base.py --mode trending → identify what's moving
  2. For anything score ≥ 60: scan_base.py --mode token <addr> → deep dive
  3. If AI narrative or Farcaster signals: scan_narrative.py --mode ai + clanker
  4. Apply alert rules → ping ZHAO only if threshold met

Early launch scan (continuous background):

  1. scan_base.py --mode new → check 0–45min window
  2. Score ≥ 60 + clean signals → immediate check with token mode
  3. Cross-reference with scan_narrative.py --mode clanker for Farcaster origin
  4. If all checks pass → early gem ping

Holder distribution check:

  1. scan_base.py --mode holders <addr>
  2. Flag if top-5 > 40% supply or any single wallet > 15%
  3. Cross with DexScreener buy/sell maker count to confirm real distribution

Alert Rules

Read references/alert-rules.md for full ruleset. Summary:

  • Immediate ping: Tier 1 only (vol spike + narrative + clean chart + liq > $100K)
  • Second-wave alert: 45min–3h old, sustained vol + holder growth, score ≥ 65
  • Early gem: <45min, score ≥ 60, clean team, real momentum. Max 2–3/day
  • Mainstream (BTC/ETH/UNI): Key level breaks, on-chain flows, funding extremes

API Reference

See references/api-endpoints.md for all endpoints, field names, and data source details.

Key addresses:

  • VIRTUAL token (Base): 0x0b3e328455c4059EEb9e3f84b5543F74E24e7E1b
  • cbBTC (Base): 0xcbB7C0000aB88B473b1f5aFd9ef808440eed33Bf

Conviction Score (0–100)

Built into scan_base.py. Score ≥ 65 = alert candidate. Score < 50 = ignore. Factors: 1h volume, liquidity, buy pressure ratio, age (45min–3h = peak), momentum, mcap.

GMGN Notes

GMGN often blocks direct API access. Fallback options:

  1. Use browser tool to navigate https://gmgn.ai/base/token/<addr>
  2. Take screenshot for ZHAO if needed
  3. Check wallet history at https://gmgn.ai/base/address/<wallet>

Bankr Notes

No clean public API. Bankr alpha comes from Warpcast:

  • Channel: https://warpcast.com/~/channel/bankr
  • Use web_search for recent Bankr mentions + web_fetch on Warpcast casts
  • High signal: power users (>5K followers) buying via Bankr frame in <30min of launch