Blockchain Data Infrastructure

Dedicated archive nodes.
Genesis to present.

Private Ethereum and Base infrastructure with optimized ClickHouse indexing. Complete historical state from block zero. Sub-second analytical queries across billions of rows.

Genesis → Tip
Complete chain state
B+ rows/s
Query throughput
Ethereum · EVMs
Indexed networks
Private
Infrastructure

Infrastructure

Full-stack data architecture

Purpose-built for quantitative research. Complete chain state, decoded events, internal traces—structured for analytical workloads.

Archive Nodes

Full Ethereum and Base archive nodes. Unlimited RPC access with trace methods. Complete historical state queries.

ClickHouse Indexes

Columnar storage optimized for analytical queries. Custom materialized views. Billions of rows, sub-second response.

Direct Access

SQL endpoints for Python, Jupyter, Grafana. REST APIs for production systems. No rate limits on dedicated infrastructure.

Capabilities

Indexed data types

01

Event Logs

All decoded contract events

02

Internal Traces

Full call trees, state changes

03

Uniswap v3 Ticks

Historical tick-level data

04

Token Transfers

ERC-20, 721, 1155 movements

05

Wallet Balances

Point-in-time snapshots

06

DEX OHLCV

Price and volume time series

07

Holder Analytics

Distribution, concentration

08

MEV Activity

Sandwiches, arbitrage, liquidations

Custom indexing available

Any on-chain data can be decoded, indexed, and optimized for your specific requirements.

Discuss requirements

Integration

Direct SQL access

Query indexed data directly from Python, Jupyter notebooks, or any SQL client. No proprietary APIs—standard ClickHouse protocol.

  • Python with clickhouse-connect or pandas
  • Jupyter notebooks for research
  • Grafana for dashboards and monitoring
  • REST endpoints for production systems
example.py
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

Independent infrastructure

Maxim

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.

Washington State UniversityEOS Eden DelegateDefiboxDAO Board

Contact

Discuss your requirements

Available for dedicated infrastructure engagements. Let's discuss your data requirements and build a custom solution.