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Dune Analytics vs Katoshi

Hyperliquid ecosystem comparison · Analytics & Data

Best for Research
Different Focus Areas

Quick Take

Dune Analytics Community-powered data dashboards for tracking the entire Hyperliquid ecosystem 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 Dune Analytics and Katoshi. Key differentiators: layer deployment, fee structure, liquidity depth, and community adoption. Last reviewed: Mar 2026.

Overview

Dune Analytics logo

Dune Analytics

Dune Analytics is the leading community-powered blockchain data platform, where analysts write SQL queries against decoded on-chain data to build public dashboards—with a growing library of Hyperliquid-specific analytics. Hundreds of community-authored Dune dashboards track Hyperliquid metrics including total trading volume, open interest trends, liquidation waterfalls, fee revenue, top traders by P&L, and HLP vault performance. Dune's Spellbook framework enables reusable, cross-chain data models that standardize Hyperliquid data alongside Ethereum and Arbitrum metrics. For researchers, protocol teams, and investors, Dune provides free access to comprehensive Hyperliquid analytics without the need for custom indexing infrastructure. Its collaborative model means new Hyperliquid protocols can have community-built dashboards within days of launch, providing immediate transparency and accountability for the Hyperliquid ecosystem's growing DeFi activity.

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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

FeatureDune Analytics logoDune AnalyticsKatoshi logoKatoshi
LayerMulti-LayerHyperCore
CategoryAnalytics & DataTrading Bots & Automation
StatusActiveActive
Launch Year2025
Websitedune.comkatoshi.ai
Twitter@KatoshiAI
GitHubNot publicNot public
VerifiedUnverifiedUnverified
Tags
AIautomationtrading-agentsnon-custodial

Score Comparison

Dune AnalyticsKatoshi
Open Source
Dune Analytics
Not public
Katoshi
Not public
Verified
Dune Analytics
Unverified
Katoshi
Unverified
Ecosystem Breadth
Dune Analytics
0 tags
Katoshi
4 tags
Maturity
Dune Analytics
Unknown
Katoshi
Since 2025

Feature Matrix

FeatureDune Analytics logoDune AnalyticsKatoshi logoKatoshi
Open Source
Verified
Has Website
Has Twitter
Has GitHub
Active Status

Key Differences

Layer Architecture

Dune Analytics 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

Dune Analytics 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 Dune Analytics if you...

  • Want a analytics & data solution on Multi-Layer
  • Need: Community-powered data dashboards for tracking the entire Hyperliquid ecosystem

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

Dune Analytics logo

Dune Analytics

Dune Analytics 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 Dune Analytics or Katoshi to help others in the Hyperliquid community make better decisions.

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