We're building Gigabrain, the next generation blockchain indexing architecture for Web3 as well as Cross Stitch our live mempool introspection product
Use our hosted Functions-as-a-Service platform for processing complex on chain events on Ethereum and Solana for...
We are building Gigabrain, a real-time data platform at scale for Web3. We decode and index on-chain transactions, events, traces & state diffs as well as the public mempool for Ethereum, Polygon and other EVM chains.
Our is data available for realtime querying within milliseconds of block confirmation via our SQL API, Python SDK or a direct integration right into your own data warehouse.
We’ve built the best-in-class realtime data infrastructure for Web3. Build real-time views, run complex stateful aggregations and painlessly integrate with your own stack via webhooks or our connectors for BigQuery, Snowflake and plethora of other popular warehouses.
Our datasets are built atop our advanced smart contract registry, we are able to decode and parse any smart contract transaction, event or trace out-of-box.
Our smart contract parsers handle complex multicalls as well as proxied contracts. Contracts are decompiled and indexed within minutes of on-chain deployment.
Run live SQL against the mempool. We also offer historical snapshots for the Ethereum mempool as well a realtime view of our unique dataset constructed from our globally set of nodes.
We index chains right from the genesis block. Gigabrain can time travel to any point in time and give you rich contextualised answers. If it happened on-chain, we’ve indexed and decoded it.
Synchronize terabytes of our decoded and processed datasets via Parquet within hours! Use our connectors to build your own warehouse from the ground up within days, not months.
We charge a flat monthly rate tailored to your needs. No need to wrangle a yet another arcane units based pricing plan.
A veteran team that built the real-time ride sharing Marketplaces at Uber and Lyft as well as ML infra at Coinbase.
Cutting-edge tech in data infra. We were early contributors to Apache Flink as well as Apache Spark.
