Hyperscanner vs Katoshi
Hyperliquid ecosystem comparison · Analytics & Data
Best for ResearchQuick Take
Hyperscanner Unified analytics for Hyperliquid L1 and 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 Hyperscanner and Katoshi. Key differentiators: layer deployment, fee structure, liquidity depth, and community adoption. Last reviewed: Mar 2026.
Hyperscanner
Multi-LayerUnified analytics for Hyperliquid L1 and HyperEVM
hyperscanner.app
Katoshi
HyperCoreAI-powered trading automation engine built exclusively for Hyperliquid
katoshi.aiOverview
Hyperscanner
Hyperscanner is a unified analytics and data platform spanning both Hyperliquid L1 — the high-performance perpetuals exchange — and HyperEVM, the EVM-compatible smart contract execution layer. It addresses the fragmentation inherent in Hyperliquid's dual-chain architecture: traders and developers previously needed to consult disconnected explorers and dashboards to get a complete picture of ecosystem activity. Hyperscanner aggregates on-chain data into clean, accessible interfaces featuring real-time market overviews, token analytics, wallet tracking, volume trends, and trading signals derived from live chain activity. For traders, it offers a bird's-eye view of market conditions — open interest shifts, volume anomalies, and emerging token activity on HyperEVM. For developers and researchers, it provides an exploration and indexing layer for understanding ecosystem growth, protocol adoption, and on-chain behavior. By bridging the data gap between Hyperliquid L1 and HyperEVM in a single coherent product, Hyperscanner makes the ecosystem more legible and navigable — lowering the barrier for new participants and giving experienced users the signals they need to stay ahead of market developments.
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 | 2025 |
| Website | hyperscanner.app | katoshi.ai |
| @hyperscanner_io | @KatoshiAI | |
| GitHub | Not public | Not public |
| Verified | Unverified | Unverified |
| Tags | analyticsscannersignalsmulti-layer | AIautomationtrading-agentsnon-custodial |
Score Comparison
Feature Matrix
| Feature | ||
|---|---|---|
| Open Source | ✗ | ✗ |
| Verified | ✗ | ✗ |
| Has Website | ✓ | ✓ |
| Has Twitter | ✓ | ✓ |
| Has GitHub | ✗ | ✗ |
| Active Status | ✓ | ✓ |
Key Differences
Layer Architecture
Hyperscanner 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
Hyperscanner is focused on analytics & data, while Katoshi targets trading bots & automation. They serve different user needs within the Hyperliquid ecosystem.
Unique Features
Hyperscanner is distinguished by: analytics, scanner, signals, multi-layer. Katoshi stands out with: AI, automation, trading-agents, non-custodial.
When to Use Each
Choose Hyperscanner if you...
- ✓Want a analytics & data solution on Multi-Layer
- ✓Need features like analytics and scanner
- ✓Need: Unified analytics for Hyperliquid L1 and 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
Hyperscanner
Hyperscanner 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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