Problem Statement

The Chaos of Base Memecoins

Base has become a high-throughput memecoin arena. Thousands of tokens launch daily through fair launches, stealth deploys, bonding curve platforms, and agent-driven creators.

Characteristics of the Base memecoin landscape:

• Extreme volatility (100%+ swings in minutes)

• Frequent rug pulls and liquidity withdrawals

• Rapid social-driven pumps

• Fragmented data across multiple sources

• Thin liquidity and slippage risks

• High FOMO dynamics

Human traders face structural disadvantages:

• Limited reaction speed

• Emotional bias (panic selling, FOMO buying)

• Inability to monitor 24/7

• Difficulty processing multi-source on-chain metrics in real time

By the time a token trends on social feeds, the early entry window is often closed.

The Need for Autonomous Agents

AI agents operate without fatigue, emotion, or sleep. They:

• Monitor multiple feeds continuously

• Execute transactions instantly

• Apply consistent risk frameworks

• Adapt strategies using historical performance memory

In a memecoin-dominated environment, speed and discipline matter more than narrative conviction.

MoonClaw is designed to:

• Scan new launches in real time

• Apply rule-based and model-driven reasoning

• Execute precise entry/exit logic

• Reflect on performance and adjust parameters

The goal is not to eliminate risk—but to apply structured intelligence to a high-noise environment.