# Xatu Data
> Ethereum network data via Parquet files or ClickHouse database

## Choose Your Access Method

Xatu provides Ethereum network data through two primary access methods. Select the documentation that matches your needs:

### 🌐 Public Parquet Files (No Authentication)
**Best for:** Data scientists, researchers, anyone wanting free access to Ethereum data

👉 **See https://raw.githubusercontent.com/ethpandaops/xatu-data/refs/heads/master/llms/parquet/llms.txt** for complete Parquet documentation
- Public HTTP access, no credentials needed
- Python, R, SQL, DuckDB examples
- Daily updates with 1-3 day delay
- Privacy-conscious (some columns redacted)

📚 **Advanced Parquet usage:** https://raw.githubusercontent.com/ethpandaops/xatu-data/refs/heads/master/llms/parquet/llms-full.txt

---

### 🔒 ClickHouse Database (Authentication Required)
**Best for:** Real-time analysis, ethPandaOps partners, advanced users

👉 **See https://raw.githubusercontent.com/ethpandaops/xatu-data/refs/heads/master/llms/clickhouse/llms.txt** for complete ClickHouse documentation
- Direct database access with lower latency
- No redactions or delays
- Production and experimental endpoints
- Advanced query capabilities

📚 **Advanced ClickHouse usage:** https://raw.githubusercontent.com/ethpandaops/xatu-data/refs/heads/master/llms/clickhouse/llms-full.txt

---

## Quick Overview

### What is Xatu?
Xatu is a comprehensive Ethereum network data collection and processing pipeline:
- Multiple collection modules for different data types
- Data stored in ClickHouse database
- Public Parquet exports available
- Run by ethPandaOps with community contributions

### Available Data
- **Beacon API Event Stream** - Block/attestation timing from multiple sentries
- **Canonical Beacon/Execution** - Deduplicated, authoritative chain data
- **MEV Relay** - Block auction and builder data
- **P2P Network Events** - Consensus and execution layer propagation
- **CBT Tables** - Pre-aggregated analytics (ClickHouse only). Exists in $network databases.

### Networks
- Mainnet (production Ethereum)
- Holesky (testnet)
- Sepolia (testnet)
- Hoodi (devnet)
- Experimental networks like devnets (via experimental endpoint)

## ⚠️ Critical: Query Performance

**ALWAYS filter on partitioning columns** when querying:
- Datetime tables: Filter on date/time columns (e.g., `slot_start_date_time`)
- Integer tables: Filter on ranges (e.g., `block_number`)
- Failure to partition = scanning billions of rows = very slow queries

## Getting Started

1. **Choose your access method** (Parquet or ClickHouse)
2. **Read the appropriate documentation** (links above)
3. **Check table catalog** for available data and date ranges
4. **Start with small queries** on recent data (last 24 hours)
5. **Always use partition filters** for better performance

## Additional Resources

- **GitHub Repository**: https://github.com/ethpandaops/xatu-data
- **Schema Repository**: https://github.com/ethpandaops/xatu-data/tree/master/schema/clickhouse
- **Config File**: https://raw.githubusercontent.com/ethpandaops/xatu-data/master/config.yaml
- **Contact**: ethpandaops@ethereum.org

## License

Data licensed under CC BY 4.0