Solution: MoonClaw Architecture
MoonClaw is built on the OpenClaw framework, a modular agent system enabling skill-based autonomy on-chain.
Core Architecture Layers
1. Agent Brain (Reasoning Layer)
Trend detection models
Volume anomaly detection
Holder distribution analysis
Liquidity stability scoring
Risk weighting engine
2. Execution Layer
DEX router integrations (Aerodrome, Uniswap on Base)
Slippage controls
Gas optimization logic
Position sizing algorithm
3. Risk Management Layer
Rug detection heuristics
Liquidity lock checks
Stop-loss enforcement
Portfolio exposure caps
Volatility thresholds
4. Data Integration Layer
Clawncher API (new launch data)
DexScreener market metrics
On-chain wallet analysis
Moltbook sentiment signals
5. Wallet & Payment Layer
BankrBot-compatible wallets
x402 payment rails
ETH and USDC support
Custom Skills
MoonClaw includes specialized “skills”:
Launch Scanner Skill — Detects newly deployed tokens on Base.
Trend Signal Skill — Measures volume spikes and liquidity growth.
Holder Integrity Skill — Checks concentration risk and bot clusters.
Execution Skill — Performs atomic swaps with risk controls.
Reflection Skill — Logs outcomes, adjusts thresholds.
Capital Allocator Skill — Diversifies across multiple memecoins.
Autonomy Loop
MoonClaw operates on a continuous loop:
Reason → Act → Reflect
Reason: Analyze token metrics and risk profile.
Act: Execute buy/sell or abstain.
Reflect: Store outcome and recalibrate heuristics.
This creates a self-improving (though not guaranteed improving) system.
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