Katoshi vs Panoptic
Hyperliquid ecosystem comparison · Trading Bots & Automation
Best for TradersQuick Take
Katoshi AI-powered trading automation engine built exclusively for Hyperliquid on HyperCore, while Panoptic Perpetual options protocol built on concentrated liquidity AMMs on Multi-Layer. They serve different niches in the Hyperliquid ecosystem.
Based on public data for Katoshi and Panoptic. Key differentiators: layer deployment, fee structure, liquidity depth, and community adoption. Last reviewed: Mar 2026.
Katoshi
HyperCoreAI-powered trading automation engine built exclusively for Hyperliquid
katoshi.aiPanoptic
Multi-LayerPerpetual options protocol built on concentrated liquidity AMMs
panoptic.xyzOverview
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.
Visit websitePanoptic
Panoptic is a groundbreaking perpetual options protocol built on Uniswap v3-style liquidity positions, enabling the permissionless creation and trading of any-strike, any-expiry options on any EVM token pair without the need for a traditional order book, options clearing house, or centralized counterparty. It represents one of the most technically sophisticated options primitives in DeFi, redefining how on-chain options are structured and priced. The protocol core insight is that Uniswap v3 concentrated liquidity positions are structurally equivalent to short-options payoff profiles. By reinterpreting and tokenizing these LP positions as options contracts, Panoptic enables traders to buy and sell calls and puts permissionlessly on any Uniswap v3 pool. Options sellers provide liquidity and collect streaming fees continuously, while options buyers pay a streaming premium instead of an upfront cost, eliminating the need for expiry dates and simplifying options mechanics for DeFi users. Panoptic supports multi-leg options strategies including spreads, straddles, strangles, and condors, all composable and expressible within a single transaction. This brings institutional-grade options strategy construction to DeFi for the first time in a fully on-chain, non-custodial format. On HyperEVM, where Uniswap v3-compatible concentrated liquidity DEXes are deploying, Panoptic enables sophisticated options trading on Hyperliquid spot assets. Options traders can express views on BTC, ETH, HYPE, and other assets with defined risk profiles, hedging perpetual positions or speculating on volatility surfaces. This complementary options layer adds significant depth to Hyperliquid existing perpetuals infrastructure. The protocol fee structure is directly linked to Uniswap v3 pool fee tiers of 0.05%, 0.30%, and 1.00%, and all pricing is derived from on-chain LP data, making Panoptic fully oracle-free and resistant to price manipulation. Liquidations are handled through a force-exercise mechanism that incentivizes third parties to close at-risk positions without centralized liquidators. Panoptic is targeted at experienced DeFi traders, options market makers, and quant funds seeking to build options books on-chain. Its gas-efficient design, deep Uniswap v3 integration, and novel streaming premium model make it one of the most technically innovative derivatives protocols in the Hyperliquid ecosystem.
Visit websiteFeature Comparison
| Feature | ||
|---|---|---|
| Layer | HyperCore | Multi-Layer |
| Category | Trading Bots & Automation | Decentralized Exchanges |
| Status | Active | Active |
| Launch Year | 2025 | — |
| Website | katoshi.ai | panoptic.xyz |
| @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
Katoshi operates on HyperCore (native on-chain perpetual orderbook), while Panoptic 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 Panoptic targets decentralized exchanges. 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 Panoptic if you...
- ✓Want a decentralized exchanges solution on Multi-Layer
- ✓Need: Perpetual options protocol built on concentrated liquidity AMMs
Ecosystem Integration
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.
Panoptic
Panoptic 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?
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