MoonClaw is not a simple trading bot. It is a modular, autonomous AI agent built to operate within the fast-moving, adversarial environment of Base memecoins. Its features are designed around three core pillars:
Speed & Automation
AI-Driven Decision Making
Structured Risk Management
Below is a comprehensive breakdown of MoonClaw’s feature set and how each component contributes to a resilient, autonomous trading system.
1. Autonomous Memecoin Sniping Engine
At the core of MoonClaw lies its real-time launch detection and sniping engine.
Continuous Launch Monitoring
MoonClaw monitors:
Newly deployed tokens on Base
Liquidity additions to DEX pools
Bonding curve completions
Initial trading activation events
It integrates with launch feeds such as Clawncher APIs and DexScreener data streams to identify tokens at their earliest tradable stage.
Intelligent Entry Filtering
Rather than blindly sniping every new launch, MoonClaw applies multi-layer filters:
Minimum liquidity thresholds
Liquidity growth velocity
Initial holder count metrics
Smart contract structure heuristics
Ownership renouncement checks (when available)
This helps reduce exposure to obvious rug patterns and low-quality deployments.
Execution Optimization
Once a candidate passes thresholds:
Position size is dynamically calculated
Slippage tolerance is adjusted relative to liquidity depth
Gas strategy is optimized for Base’s fee environment
Trades execute atomically via supported DEX routers (e.g., Aerodrome, Uniswap)
The result: structured early entry rather than random participation.