0xArchive

0xArchive is a market data platform that gives developers, researchers, and data teams access to real-time and historical data for Hyperliquid and Lighter from a single source. It combines live market feeds, historical archives, REST APIs, replayable WebSocket routes, structured exports, SDKs, and AI-agent tooling into one workflow for analyzing 24/7 markets.

The platform is designed for teams building analytics products, backtesting systems, market monitoring tools, research workflows, and data pipelines. Instead of combining separate providers for live prices, historical records, order book data, trades, liquidations, and other market events, 0xArchive provides access to both streaming and archived data through the same infrastructure.

Key Features

Real-Time Market Data

Access current market activity across Hyperliquid and Lighter.

0xArchive provides data covering:

• Order book activity
• Market trades
• Trade fills
• Liquidations
• Funding data
• Open interest
• Wallet activity
• Market lifecycle events
• Price candles

This allows developers and researchers to work with current market conditions without relying only on delayed or static datasets.

Historical Market Data

Access historical records for research and long-term analysis.

The platform supports historical data across:

• Trades
• Order books
• Candles
• Fills
• Liquidations
• Funding
• Open interest
• Wallet activity
• Market events

This makes it possible to analyze previous market behavior and build workflows that require more than a live data feed.

REST API Access

Query market data through standard API endpoints.

The REST API can be used for:

• Market data retrieval
• Historical queries
• Trade analysis
• Order book data
• Funding information
• Open interest tracking
• Wallet activity
• Data pipeline integrations

The service provides clean JSON output, making it easier to integrate market data into applications and internal systems.

WebSocket Streaming

Receive market updates through WebSocket connections.

The WebSocket infrastructure supports:

• Live market data
• Streaming updates
• Order book changes
• Trade events
• Continuous monitoring
• Event-driven applications

This allows teams to build systems that react to market activity as it happens.

Replayable Historical Data

Work with historical market activity through replayable data routes.

The platform supports workflows such as:

• Historical event replay
• Backtesting
• Market reconstruction
• Strategy testing
• Data validation
• Research experiments
• Long-run market analysis

This allows users to revisit market activity instead of treating historical data as a static archive.

Order Book and Market Depth Data

Analyze liquidity and market activity beyond standard price candles.

The available data includes:

• Order book depth
• Market activity
• Trades
• Fills
• Liquidations
• Lifecycle events
• Funding information
• Open interest

This gives researchers and analytics teams access to more detailed market signals when studying trading behavior and market structure.

Unified Hyperliquid and Lighter Coverage

Access data from both Hyperliquid and Lighter through one API.

0xArchive provides:

• Hyperliquid market data
• Lighter market data
• Coverage across 1,000+ markets
• Real-time data access
• Historical data access
• Streaming market records

This reduces the need to maintain separate integrations for different market ecosystems.

Parquet Data Exports

Export structured market data for offline analysis and data infrastructure workflows.

Parquet exports can be used for:

• Data warehouses
• Offline research
• Backtesting systems
• Historical analysis
• Large-scale analytics
• Internal datasets
• Data processing pipelines

This gives teams an alternative to repeatedly querying APIs when working with larger historical datasets.

Archive-First Data Infrastructure

Use historical market data as a core part of the platform.

0xArchive treats its archive as a primary part of the data infrastructure, supporting:

• Historical research
• Data replay
• Long-term analysis
• Dataset exports
• Backtesting
• Market studies
• Continuous data access

This makes it particularly useful for teams that need both current market information and a reliable historical record from the same source.

Developer SDKs and Tools

Integrate market data using tools designed for different development environments.

The platform includes:

• Python SDK
• TypeScript SDK
• Rust SDK
• Command-line tools
• Example repositories
• Developer resources

This gives teams multiple options for incorporating market data into applications, research environments, and automated workflows.

MCP Support for AI Agents

Connect market data to AI agents and automated research systems.

0xArchive includes agent-focused MCP tooling that can support:

• Automated market research
• AI-assisted analysis
• Internal AI assistants
• Agent workflows
• Programmatic data exploration
• Market monitoring automation

This makes it possible to connect the underlying market data infrastructure to AI-powered research and analysis workflows.

Research and Backtesting Workflows

Use the same data source for market studies and strategy analysis.

The platform supports workflows involving:

• Historical backtesting
• Market analytics
• Quantitative research
• Trading strategy analysis
• Data science projects
• Market monitoring
• Event analysis

Access to both historical and streaming records allows teams to move between research and live monitoring without stitching together separate providers.

Free and Paid Access

Start with lighter usage and scale as data requirements increase.

The available access options support:

• Free usage
• Development projects
• Individual research
• Lower request volumes
• Higher-volume API usage
• Larger data workflows

This allows developers and teams to choose access based on the scale of their market data requirements.

Built for Market Data Infrastructure

0xArchive combines real-time market feeds, historical archives, REST access, WebSocket streaming, replayable market data, Parquet exports, developer SDKs, CLI tools, and MCP support into one market data infrastructure platform for Hyperliquid and Lighter.

Key benefits include:

• Real-time market data
• Historical market archives
• Replayable data
• Order book analytics
• Trade and fill data
• Funding and open interest tracking
• WebSocket streaming
• Parquet exports
• Multi-language SDKs
• AI agent integration

Built For

• Developers
• Market Researchers
• Quantitative Researchers
• Data Engineers
• Trading Teams
• Market Analysts
• Backtesting Platforms
• Financial Data Teams
• AI Agent Developers

Common Use Cases

• Building market analytics dashboards
• Running historical backtests
• Monitoring real-time market activity
• Analyzing order book depth
• Tracking trades and fills
• Studying liquidations
• Monitoring funding and open interest
• Exporting market data to warehouses
• Building historical market datasets
• Replaying market activity
• Creating automated market research workflows
• Connecting market data to AI agents

Why It Matters

Market data workflows often require teams to combine multiple providers for live feeds, historical archives, trade records, order book information, and exportable datasets. This can create additional integration work and make it harder to maintain consistent data across backtesting, research, analytics, and live monitoring systems.

0xArchive brings real-time and historical data for Hyperliquid and Lighter into one infrastructure layer. Teams can query current market activity through REST APIs, stream updates through WebSockets, replay historical records, export larger datasets as Parquet files, and integrate the data through Python, TypeScript, Rust, CLI, or MCP-based AI-agent workflows. By treating the historical archive as a core part of the product, it supports both immediate market monitoring and long-term research from the same data source.

Access, Stream, Replay, and Analyze Market Data From One Place

Access real-time and historical market data for Hyperliquid and Lighter, query trades and order book activity through REST APIs, stream live updates through WebSockets, analyze fills, liquidations, funding, open interest, and wallet activity, replay historical market events, export datasets as Parquet files, integrate through Python, TypeScript, or Rust SDKs, and connect market data to automated research systems and AI agents from one centralized API platform.