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...
Description
name: base-alpha-scanner description: "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."
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 windowstoken <addr>— Deep dive on specific token (all timeframes)holders <addr>— Holder distribution + concentration checkgmgn <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 Basebankr— Bankr.fun trending tokens (Farcaster-native)virtual— VIRTUAL Protocol AI agent ecosystemai— Broad AI narrative scan across Base
Workflow
Standard market scan (run on demand or every 1–2h):
scan_base.py --mode trending→ identify what's moving- For anything score ≥ 60:
scan_base.py --mode token <addr>→ deep dive - If AI narrative or Farcaster signals:
scan_narrative.py --mode ai+clanker - Apply alert rules → ping ZHAO only if threshold met
Early launch scan (continuous background):
scan_base.py --mode new→ check 0–45min window- Score ≥ 60 + clean signals → immediate check with
tokenmode - Cross-reference with
scan_narrative.py --mode clankerfor Farcaster origin - If all checks pass → early gem ping
Holder distribution check:
scan_base.py --mode holders <addr>- Flag if top-5 > 40% supply or any single wallet > 15%
- 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:
- Use
browsertool to navigatehttps://gmgn.ai/base/token/<addr> - Take screenshot for ZHAO if needed
- 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_searchfor recent Bankr mentions +web_fetchon Warpcast casts - High signal: power users (>5K followers) buying via Bankr frame in <30min of launch
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