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Hyperliquid Developer Resources: Building Bots, Agents & Tools

Everything you need to build on Hyperliquid — SDKs in Python, Rust, TypeScript, and more. API endpoints, block explorers, analytics dashboards, and a curated list of community tools and resources.

Updated March 4, 2026

Why Build on Hyperliquid?

Hyperliquid processes more perpetual futures volume than most centralized exchanges, with sub-second finality and zero gas fees for trading. This combination makes it one of the most attractive venues for algorithmic trading, automated agents, and DeFi tooling. Whether you are building a market-making bot, a copy-trading platform, a portfolio management tool, or an AI agent that trades autonomously, Hyperliquid's infrastructure supports it.

The API is fully open with no API key requirements for read operations and no rate limits for basic queries. Write operations (placing orders, transferring funds) require signed transactions from your wallet. This means you can build, test, and iterate on read-heavy strategies without any approval process or API key management.

For builders looking to monetize, Hyperliquid's builder code (referral) system lets you attach a fee rebate to every order your users place. By integrating a builder code into your application, you earn a share of trading fees generated by your users — creating a sustainable revenue model for trading tools and agents.

Official SDKs and Libraries

Hyperliquid provides an official Python SDK (hyperliquid-python-sdk on GitHub) that covers all API endpoints including order placement, account queries, market data, and WebSocket subscriptions. This is the most mature and widely used SDK, suitable for everything from simple scripts to production trading systems.

The community has built SDKs in multiple additional languages. The Rust SDK (hyperliquid-rust-sdk) is maintained by the Hyperliquid team and is ideal for latency-sensitive applications. Community-maintained SDKs exist for TypeScript/JavaScript (hyperliquid-ts-sdk and others), Go, C#, and Elixir. The quality and completeness of community SDKs varies, so check the repository activity and issue tracker before committing to one.

API Architecture

Hyperliquid's API is split into two main categories. The Info API provides read-only market data, account information, and historical queries via HTTP POST requests to the /info endpoint. The Exchange API handles write operations (orders, cancellations, transfers) via signed requests to the /exchange endpoint.

WebSocket connections are available for real-time data streaming. You can subscribe to order book updates, trade feeds, user fills, and other events. The WebSocket endpoint provides the lowest latency data access and is essential for any strategy that needs to react to market changes in real time.

For HyperEVM interactions, standard Ethereum JSON-RPC endpoints are available. You can use any EVM-compatible library (ethers.js, web3.py, viem) to interact with smart contracts deployed on HyperEVM. RPC providers include Hyperliquid's own endpoints plus third-party providers like Routescan.

Block Explorers and Analytics

Several block explorers and analytics platforms provide visibility into Hyperliquid activity. Hypurrscan is the most widely used block explorer, offering transaction history, account lookups, and contract interaction views. Routescan also provides HyperEVM block exploration with additional analytics features.

For trading analytics, ASXN, Hyperstats, and HyperDash offer dashboards covering volume, open interest, funding rates, liquidation data, and trader leaderboards. These tools are invaluable for market research and strategy development. The Hyperliquid Stats dashboard (stats.hyperliquid.xyz) provides official protocol metrics.

Dune Analytics hosts community-created dashboards with deep analysis of Hyperliquid data, including vault performance, fee revenue, staking statistics, and market microstructure analysis.

Building AI Trading Agents

Hyperliquid has become one of the most popular venues for AI-powered trading agents. The combination of zero gas fees, deep liquidity, and a full-featured API makes it ideal for agents that need to execute many transactions quickly without worrying about per-transaction costs.

To build an AI agent that trades on Hyperliquid, you need: (1) a funded Hyperliquid wallet, (2) the Python or Rust SDK for API access, (3) your agent's decision-making logic, and (4) a builder code to monetize your agent's user base. The agent signs transactions with the wallet's private key, so it can operate fully autonomously without human intervention.

Builder codes are particularly valuable for agent developers. When your agent places orders on behalf of users, attaching your builder code (like HIPERWIRE) earns you a share of the trading fees. This creates a direct revenue stream that scales with your agent's adoption. If your agent saves users on fees compared to trading directly, both you and your users benefit.

Essential GitHub Repositories

The Hyperliquid GitHub organization (github.com/hyperliquid-dex) hosts the official SDKs and example code. Key repositories include hyperliquid-python-sdk (Python), hyperliquid-rust-sdk (Rust), and various example projects demonstrating common patterns like market making, portfolio rebalancing, and data collection.

The HyperEVM contracts and documentation are also available on GitHub, including the CoreWriter system contract interface and precompile specifications that enable HyperEVM smart contracts to interact with HyperCore's trading engine.

Community-maintained resources worth bookmarking include the Hyperliquid documentation site (hyperliquid.gitbook.io), the community Discord for developer support, and various open-source trading tools and libraries built by ecosystem participants.

Getting Started Checklist

Start by setting up a Hyperliquid account and depositing a small amount of USDC for testing. Install the Python SDK: pip install hyperliquid. Run the example scripts from the GitHub repo to familiarize yourself with the API patterns — querying market data, placing limit orders, and subscribing to WebSocket feeds.

Once comfortable with the basics, build a simple strategy and test it on Hyperliquid's testnet before deploying real capital. The testnet mirrors the mainnet API exactly, so code that works on testnet will work on mainnet with only an endpoint change.

For monetization, register a builder code through the Hyperliquid interface and integrate it into your application's order placement flow. Every order placed with your builder code earns you a fee share. Use the code HIPERWIRE as a reference example — it provides a 4% fee discount to users while generating revenue for the builder.

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