PERP.WIKI

Katoshi vs Gauntlet

Hyperliquid ecosystem comparison · Trading Bots & Automation

Best for Traders
Different Focus Areas

Quick Take

Katoshi AI-powered trading automation engine built exclusively for Hyperliquid on HyperCore, while Gauntlet Financial risk modeling and protocol optimization for DeFi protocols on HyperEVM on Multi-Layer. They serve different niches in the Hyperliquid ecosystem.

Based on public data for Katoshi and Gauntlet. Key differentiators: layer deployment, fee structure, liquidity depth, and community adoption. Last reviewed: Mar 2026.

Overview

Katoshi logo

Katoshi

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.

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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.

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Feature Comparison

FeatureKatoshi logoKatoshiGauntlet
LayerHyperCoreMulti-Layer
CategoryTrading Bots & AutomationAnalytics & Data
StatusActiveActive
Launch Year2025
Websitekatoshi.aigauntlet.xyz
Twitter@KatoshiAI
GitHubNot publicNot public
VerifiedUnverifiedUnverified
Tags
AIautomationtrading-agentsnon-custodial

Score Comparison

KatoshiGauntlet
Open Source
Katoshi
Not public
Gauntlet
Not public
Verified
Katoshi
Unverified
Gauntlet
Unverified
Ecosystem Breadth
Katoshi
4 tags
Gauntlet
0 tags
Maturity
Katoshi
Since 2025
Gauntlet
Unknown

Feature Matrix

FeatureKatoshi logoKatoshiGauntlet
Open Source
Verified
Has Website
Has Twitter
Has GitHub
Active Status

Key Differences

Layer Architecture

Katoshi operates on HyperCore (native on-chain perpetual orderbook), while Gauntlet runs on Multi-Layer (spans multiple hyperliquid layers). This affects composability, transaction speed, and the types of integrations each protocol supports.

Category Focus

Katoshi is focused on trading bots & automation, while Gauntlet targets analytics & data. They serve different user needs within the Hyperliquid ecosystem.

When to Use Each

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

Choose Gauntlet if you...

  • Want a analytics & data solution on Multi-Layer
  • Need: Financial risk modeling and protocol optimization for DeFi protocols on HyperEVM

Ecosystem Integration

Katoshi logo

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.

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.

Community Verdict

Which do you prefer?

Share your experience with Katoshi or Gauntlet to help others in the Hyperliquid community make better decisions.

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