Moralis vs Katoshi
Hyperliquid ecosystem comparison · Data APIs
Best for ResearchQuick Take
Moralis Comprehensive Web3 data APIs for token, NFT, and wallet data 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 Moralis and Katoshi. Key differentiators: layer deployment, fee structure, liquidity depth, and community adoption. Last reviewed: Mar 2026.
Moralis
Multi-LayerComprehensive Web3 data APIs for token, NFT, and wallet data on HyperEVM
moralis.io
Katoshi
HyperCoreAI-powered trading automation engine built exclusively for Hyperliquid
katoshi.aiOverview
Moralis
Moralis is a comprehensive Web3 data API platform providing token data, NFT metadata, wallet balances, and transaction history APIs for HyperEVM and 30+ other EVM chains. HyperEVM developers use Moralis to build feature-rich frontends without managing their own indexing infrastructure—fetching real-time token prices, historical OHLCV data, wallet portfolio data, and NFT ownership information through simple REST API calls. Moralis's deep indexing of HyperEVM contract events enables complex queries like showing all DeFi positions for a wallet across all HyperEVM protocols with a single API call. Its Streams product delivers real-time webhook notifications for on-chain events, enabling reactive features in Hyperliquid ecosystem applications. With competitive pricing, high availability SLAs, and extensive SDK coverage for JavaScript, Python, and mobile platforms, Moralis accelerates HyperEVM dApp development and is trusted by thousands of Web3 projects globally.
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 | Data APIs | Trading Bots & Automation |
| Status | Active | Active |
| Launch Year | — | 2025 |
| Website | moralis.io | katoshi.ai |
| — | @KatoshiAI | |
| GitHub | Not public | Not public |
| Verified | Unverified | Unverified |
| Tags | — | AIautomationtrading-agentsnon-custodial |
Score Comparison
Feature Matrix
| Feature | ||
|---|---|---|
| Open Source | ✗ | ✗ |
| Verified | ✗ | ✗ |
| Has Website | ✓ | ✓ |
| Has Twitter | ✗ | ✓ |
| Has GitHub | ✗ | ✗ |
| Active Status | ✓ | ✓ |
Key Differences
Layer Architecture
Moralis 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
Moralis is focused on data apis, while Katoshi targets trading bots & automation. They serve different user needs within the Hyperliquid ecosystem.
When to Use Each
Choose Moralis if you...
- ✓Want a data apis solution on Multi-Layer
- ✓Need: Comprehensive Web3 data APIs for token, NFT, and wallet data 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
Moralis
Moralis 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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