Chaos Labs vs Katoshi
Hyperliquid ecosystem comparison · Analytics & Data
Best for ResearchQuick Take
Chaos Labs DeFi risk analytics and parameter optimization for Hyperliquid ecosystem protocols on Multi-Layer, while Katoshi AI-powered trading automation engine built exclusively for Hyperliquid on HyperCore. They serve different niches in the Hyperliquid ecosystem.
Based on public data for Chaos Labs and Katoshi. Key differentiators: layer deployment, fee structure, liquidity depth, and community adoption. Last reviewed: Mar 2026.
Chaos Labs
Multi-LayerDeFi risk analytics and parameter optimization for Hyperliquid ecosystem protocols
chaoslabs.xyz
Katoshi
HyperCoreAI-powered trading automation engine built exclusively for Hyperliquid
katoshi.aiOverview
Chaos Labs
Chaos Labs is a DeFi risk analytics and parameter optimization platform that uses agent-based simulations and quantitative modeling to help protocols manage risk and optimize capital efficiency. Working with major lending protocols, DEXes, and perpetuals markets including projects built on Hyperliquid, Chaos Labs provides data-driven recommendations for collateral factors, liquidation thresholds, and interest rate curves. Its economic security monitoring continuously stress-tests protocol parameters against simulated market scenarios including flash crashes and liquidity crises, alerting teams to potential vulnerabilities before they become exploits. For Hyperliquid ecosystem protocols handling significant TVL, Chaos Labs provides the rigorous quantitative framework necessary to safely scale while maintaining robust risk management. The platform's real-time dashboards give protocol teams and governance participants clear visibility into current risk exposure across all market conditions.
Visit websiteKatoshi
Katoshi is the premier trading automation engine built exclusively for Hyperliquid, enabling traders to build, deploy, and manage algorithmic strategies with millisecond precision and zero downtime. Trusted by thousands of active traders, Katoshi abstracts the complexity of algorithmic execution into an accessible platform that requires no deep coding expertise. At its core, Katoshi offers a complete automation toolkit: receive signals from TradingView, fire webhooks and custom API triggers, or deploy fully autonomous AI trading agents that react to market conditions in real-time. The platform also supports MCP (Model Context Protocol) integrations, putting cutting-edge AI-driven execution within reach of any trader. Katoshi's deep native integration with Hyperliquid means bots can tap directly into one of crypto's fastest and most liquid on-chain order books, accessing perpetuals across hundreds of markets with minimal slippage. Whether automating a simple RSI crossover strategy or running a multi-leg algorithmic portfolio, Katoshi provides reliable infrastructure to scale it. Built from the ground up for Hyperliquid's architecture, it has become the go-to automation layer for retail traders and institutional desks operating in the ecosystem.
Visit websiteFeature Comparison
| Feature | ||
|---|---|---|
| Layer | Multi-Layer | HyperCore |
| Category | Analytics & Data | Trading Bots & Automation |
| Status | Active | Active |
| Launch Year | — | 2025 |
| Website | chaoslabs.xyz | katoshi.ai |
| — | @KatoshiAI | |
| GitHub | Not public | Not public |
| Verified | Unverified | Unverified |
| Tags | — | AIautomationtrading-agentsnon-custodial |
Score Comparison
Feature Matrix
| Feature | ||
|---|---|---|
| Open Source | ✗ | ✗ |
| Verified | ✗ | ✗ |
| Has Website | ✓ | ✓ |
| Has Twitter | ✗ | ✓ |
| Has GitHub | ✗ | ✗ |
| Active Status | ✓ | ✓ |
Key Differences
Layer Architecture
Chaos Labs operates on Multi-Layer (spans multiple hyperliquid layers), while Katoshi runs on HyperCore (native on-chain perpetual orderbook). This affects composability, transaction speed, and the types of integrations each protocol supports.
Category Focus
Chaos Labs is focused on analytics & data, while Katoshi targets trading bots & automation. They serve different user needs within the Hyperliquid ecosystem.
When to Use Each
Choose Chaos Labs if you...
- ✓Want a analytics & data solution on Multi-Layer
- ✓Need: DeFi risk analytics and parameter optimization for Hyperliquid ecosystem protocols
Choose Katoshi if you...
- ✓Want a trading bots & automation solution on HyperCore
- ✓Need features like AI and automation
- ✓Need: AI-powered trading automation engine built exclusively for Hyperliquid
Ecosystem Integration
Chaos Labs
Chaos Labs operates on Multi-Layer (spans multiple hyperliquid layers). Spanning multiple layers lets it combine the strengths of each, though integration complexity is higher.
Katoshi
Katoshi operates on HyperCore (native on-chain perpetual orderbook). Running on HyperCore gives it direct access to the native orderbook with minimal latency and maximum throughput.
Community Verdict
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