Blockchain Data Infrastructure
Private Ethereum and Base infrastructure with optimized ClickHouse indexing. Complete historical state from block zero. Sub-second analytical queries across billions of rows.
Infrastructure
Purpose-built for quantitative research. Complete chain state, decoded events, internal traces—structured for analytical workloads.
Full Ethereum and Base archive nodes. Unlimited RPC access with trace methods. Complete historical state queries.
Columnar storage optimized for analytical queries. Custom materialized views. Billions of rows, sub-second response.
SQL endpoints for Python, Jupyter, Grafana. REST APIs for production systems. No rate limits on dedicated infrastructure.
Capabilities
All decoded contract events
Full call trees, state changes
Historical tick-level data
ERC-20, 721, 1155 movements
Point-in-time snapshots
Price and volume time series
Distribution, concentration
Sandwiches, arbitrage, liquidations
Any on-chain data can be decoded, indexed, and optimized for your specific requirements.
Integration
Query indexed data directly from Python, Jupyter notebooks, or any SQL client. No proprietary APIs—standard ClickHouse protocol.
import clickhouse_connect
client = clickhouse_connect.get_client(
host="your-instance.maximquant.com",
port=8443,
secure=True
)
# Query all Uniswap v3 swaps for a pool
# 2+ years of data, returns in <1s
df = client.query_df("""
SELECT
block_timestamp,
amount0,
amount1,
sqrt_price_x96,
tick
FROM uniswap_v3.swaps
WHERE pool_address = '0x8ad5...'
ORDER BY block_timestamp
""")Background

Maxim
Independent Blockchain Data Engineer
15+ years in IT infrastructure and project management. Background in blockchain governance and self-funded quantitative DeFi trading.
Building dedicated data infrastructure for firms that need reliable, distortion-free on-chain data without the operational overhead of running archive nodes.
Contact
Available for dedicated infrastructure engagements. Let's discuss your data requirements and build a custom solution.