The Hyperliquid Data Layer API is a Python-based data infrastructure project built to provide developers with transparent access to market data and trading information on the Hyperliquid decentralized exchange. Created by Moon Dev, the repository serves as the first open node provider and data layer for Hyperliquid, addressing a critical gap where the exchange's transparent data existed but lacked accessible developer interfaces.
The project's core mission centers on democratizing financial market information that was historically available only to institutional traders and hedge funds. The README emphasizes this philosophy through a narrative contrasting traditional Wall Street opacity with Hyperliquid's transparent blockchain-based model, positioning the data layer as essential infrastructure for enabling billions of users and millions of applications to build on top of Hyperliquid's ecosystem.
The repository provides comprehensive API access to an extensive range of market data and analytics. Users can access real-time liquidation data across multiple exchanges including Hyperliquid, Binance, Bybit, and OKX, with both live and archived information. The API covers HIP3 assets spanning stocks, commodities, indices, and forex instruments. Position tracking capabilities include whale positions across 182 symbols, position snapshots for assets within 15 percent of liquidation, and buyer tracking for accumulation signals. The data layer also exposes smart money rankings comparing top 100 profitable traders against bottom 100 traders, along with trading signals derived from institutional activity patterns.
Advanced features include HLP strategy visibility into Hyperliquid's market-making protocol with over 210 million dollars in capital, HLP sentiment analysis using z-scores to identify retail positioning and squeeze signals, and order flow analysis showing buy versus sell pressure with cumulative delta calculations. The API provides wallet-level transparency allowing queries of any Hyperliquid address for complete position and trade history data. Market data endpoints eliminate rate limiting issues present in Hyperliquid's native API, offering all 224 coin prices, orderbook data, account state information, and trade fills in Hyperliquid-compatible formats.
The repository includes 25 standalone Python example scripts demonstrating practical usage patterns, from basic liquidation monitoring to complex smart money tracking and HLP analytics. These examples feature terminal-based visualizations and can be executed independently. The data layer tracks 80 symbols across major cryptocurrencies, DeFi tokens, layer-2 solutions, alternative layer-1 blockchains, and meme coins, with OHLCV candle data available at multiple timeframes and raw tick data with customizable time windows.
Recent additions include an AI Chat API providing an OpenAI-compatible interface without requiring separate API keys, HLP flip tracking for monitoring when the market-making protocol switches between long and short positioning, and expanded tick data coverage with trade-level size information for newly ingested data. The project maintains a homepage at moondev.com with comprehensive documentation and API reference materials.
GitGenius activity data indicates the repository maintains connections to other significant open-source projects through overlapping contributors, linking to astral-sh/uv, ggml-org/llama.cpp, and microsoft/terminal. The project is classified across multiple technical domains including API infrastructure, data layer architecture, cryptocurrency exchange integration, real-time data streaming, REST and WebSocket protocols, and trading market data systems. The repository's primary language is Python, making it accessible to the broader data science and fintech development community.
