Gauntlet vs Katoshi
Hyperliquid ecosystem comparison · Analytics & Data
Best for ResearchQuick Take
Gauntlet Financial risk modeling and protocol optimization for DeFi protocols on HyperEVM 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 Gauntlet and Katoshi. Key differentiators: layer deployment, fee structure, liquidity depth, and community adoption. Last reviewed: Mar 2026.
Gauntlet
Multi-LayerFinancial risk modeling and protocol optimization for DeFi protocols on HyperEVM
gauntlet.xyzKatoshi
HyperCoreAI-powered trading automation engine built exclusively for Hyperliquid
katoshi.aiOverview
Gauntlet
Gauntlet is a financial risk management and protocol optimization platform that uses agent-based market simulations to stress-test DeFi protocols and optimize their economic parameters. As protocols in the Hyperliquid ecosystem scale their TVL in lending markets and liquidity vaults, Gauntlet's simulation engine models adversarial behaviors, market crashes, and oracle manipulation scenarios to identify parameter configurations that maximize capital efficiency while minimizing insolvency risk. Gauntlet provides ongoing risk management services—continuously updating protocol parameters like liquidation bonuses, borrow caps, and collateral ratios in response to changing market conditions. With a track record managing billions in risk across Aave, Compound, and other top DeFi protocols, Gauntlet brings institutional-grade risk science to the growing Hyperliquid DeFi ecosystem. Protocols that engage Gauntlet signal commitment to sustainable, risk-managed growth rather than aggressive TVL maximization at the expense of security.
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 | Gauntlet | |
|---|---|---|
| Layer | Multi-Layer | HyperCore |
| Category | Analytics & Data | Trading Bots & Automation |
| Status | Active | Active |
| Launch Year | — | 2025 |
| Website | gauntlet.xyz | katoshi.ai |
| — | @KatoshiAI | |
| GitHub | Not public | Not public |
| Verified | Unverified | Unverified |
| Tags | — | AIautomationtrading-agentsnon-custodial |
Score Comparison
Feature Matrix
| Feature | Gauntlet | |
|---|---|---|
| Open Source | ✗ | ✗ |
| Verified | ✗ | ✗ |
| Has Website | ✓ | ✓ |
| Has Twitter | ✗ | ✓ |
| Has GitHub | ✗ | ✗ |
| Active Status | ✓ | ✓ |
Key Differences
Layer Architecture
Gauntlet 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
Gauntlet 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 Gauntlet if you...
- ✓Want a analytics & data solution on Multi-Layer
- ✓Need: Financial risk modeling and protocol optimization for DeFi protocols on HyperEVM
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
Gauntlet
Gauntlet 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
Which do you prefer?
Share your experience with Gauntlet or Katoshi to help others in the Hyperliquid community make better decisions.
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