PERP.WIKI

Stork Network vs Katoshi

Hyperliquid ecosystem comparison · Oracles

Ecosystem Pick
Different Focus Areas

Quick Take

Stork Network Ultra-low latency pull oracle purpose-built for Hyperliquid-native DeFi 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 Stork Network and Katoshi. Key differentiators: layer deployment, fee structure, liquidity depth, and community adoption. Last reviewed: Mar 2026.

Overview

Stork Network logo

Stork Network

Stork is a low-latency, first-party oracle network purpose-built for high-performance DeFi applications like Hyperliquid. Unlike traditional oracle solutions, Stork delivers signed price updates directly to end-users, enabling on-demand data consumption without sacrificing freshness. Designed for derivatives and perpetuals markets where sub-millisecond price accuracy is critical, Stork has become a key infrastructure layer for HyperEVM protocols. Its publisher-agnostic design allows projects to integrate multiple data sources under a unified interface, and its architecture supports hundreds of asset feeds with cryptographic attestation. Stork's emphasis on ultra-low latency makes it ideal for Hyperliquid's high-throughput matching engine, where stale oracle prices can create exploitable arbitrage or unfair liquidations. Projects building options, structured products, or complex derivatives on HyperEVM rely on Stork for the price freshness that underpins safe, capital-efficient protocols.

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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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Feature Comparison

FeatureStork Network logoStork NetworkKatoshi logoKatoshi
LayerMulti-LayerHyperCore
CategoryOraclesTrading Bots & Automation
StatusActiveActive
Launch Year2025
Websitestork.networkkatoshi.ai
Twitter@KatoshiAI
GitHubNot publicNot public
VerifiedUnverifiedUnverified
Tags
AIautomationtrading-agentsnon-custodial

Score Comparison

Stork NetworkKatoshi
Open Source
Stork Network
Not public
Katoshi
Not public
Verified
Stork Network
Unverified
Katoshi
Unverified
Ecosystem Breadth
Stork Network
0 tags
Katoshi
4 tags
Maturity
Stork Network
Unknown
Katoshi
Since 2025

Feature Matrix

FeatureStork Network logoStork NetworkKatoshi logoKatoshi
Open Source
Verified
Has Website
Has Twitter
Has GitHub
Active Status

Key Differences

Layer Architecture

Stork Network 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

Stork Network is focused on oracles, while Katoshi targets trading bots & automation. They serve different user needs within the Hyperliquid ecosystem.

When to Use Each

Choose Stork Network if you...

  • Want a oracles solution on Multi-Layer
  • Need: Ultra-low latency pull oracle purpose-built for Hyperliquid-native DeFi

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

Stork Network logo

Stork Network

Stork Network operates on Multi-Layer (spans multiple hyperliquid layers). Spanning multiple layers lets it combine the strengths of each, though integration complexity is higher.

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.

Community Verdict

Which do you prefer?

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

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