0xArchive offers a unified data infrastructure that delivers live and historical order‑book, trade, and fill information for over 1,000 cryptocurrency markets across Hyperliquid and Lighter. Developers can access every order and wallet through a single REST or WebSocket API, enabling analytics, backtesting, and research workflows at any scale—from the first call to billions of requests.
Funding
Funding not disclosed
Founders
Product
Problem
Developers and quantitative analysts building on Hyperliquid and Lighter face fragmented data sources, requiring custom collectors, back‑fills, and separate integrations to obtain live order‑book, trade, and fill information. This makes backtesting, research, and production monitoring costly and error‑prone.
Solution
0xArchive offers a single REST and WebSocket API that aggregates live and historical market data for more than 1,000 cryptocurrency markets across Hyperliquid and Lighter. The service delivers normalized JSON for order‑book depth down to individual orders (L4), trades, candles, funding rates, open interest, and liquidations, eliminating the need to run proprietary data pipelines. Historical coverage starts in April 2023 and is continuously refreshed, with operational health checks and coverage metadata to ensure data reliability. SDKs for Python, TypeScript, and Rust, plus a CLI, MCP server, and OpenAPI contract, enable rapid integration into analytics, backtesting, and production workflows. Tiered subscription plans provide scalable request limits, WebSocket subscription capacity, and optional Parquet exports for bulk ingestion.
Target Audience
Primary users are quantitative researchers, data engineering teams, and developers building trading, analytics, or backtesting systems that require reliable, high‑frequency market data from Hyperliquid and Lighter.
Features
- Unified REST and WebSocket endpoints covering Hyperliquid core, Spot, HIP‑3, HIP‑4, and Lighter.xyz markets
- Full‑order (L4) depth with wallet attribution, plus L2/L3 aggregates, trades, candles, funding, OI, and liquidation events
- Historical snapshots back to April 2023 and replayable streams for deterministic backtesting
- Normalized JSON responses with named fields, removing the need for custom decoding of raw structs
- SDKs (Python, TypeScript, Rust), CLI, MCP server, and Skill integrations for typed client libraries and automation
- Real‑time health and coverage dashboards to verify data freshness and gap detection before use
- Export of bulk Parquet files for warehouse‑ready ingestion, with per‑GB pricing