Data Ingestion

DeepBlock’s first step is ingesting blockchain data at scale.

We run dedicated indexer nodes and listeners on supported networks to capture every new block, transaction, and smart contract event.

This ingestion process includes:

  • Real-Time Data Capture As blocks are produced on each chain, DeepBlock captures their contents (transactions, logs, state changes) usually within seconds of confirmation. For example, on Ethereum, we typically see new block data in under a minute of it being mined.

  • Normalization & Decoding Raw blockchain data can be difficult to work with (e.g., hex-encoded addresses, numeric token values, contract call data). DeepBlock’s pipelines decode event logs and function calls, interpret token transfers, and convert data into human-readable structures. Addresses are represented in a consistent format, timestamps are standardized to UTC, and numeric values (like token amounts) are stored with proper decimals and currency context.

  • Enrichment Where possible, the indexer layer enriches the data with additional context. For instance, if a transaction interacts with a well-known DeFi contract, the system can tag it with that protocol’s name. If an address is known (a centralized exchange hot wallet, for example), it may be labeled accordingly. This metadata makes analysis easier down the line. (We maintain a library of common addresses and entities, continually expanded.)

  • Batching and Streaming Data ingestion is both continuous and fault-tolerant. DeepBlock streams new data for real-time updates, but also periodically batches and backfills to ensure no data is missed (for example, if a node hiccups or lags). This dual approach guarantees completeness and timeliness.

  • Reorg Handling For blockchains that experience occasional reorganizations (reorgs), our ingestion layer has safety checks. If a block reorg occurs (meaning an earlier block was replaced by an alternative chain tip), DeepBlock will detect it and update or rollback the affected data in the knowledge graph. This ensures that what’s in DeepBlock always reflects the true canonical chain state, preserving data integrity even under network turbulence.

By the end of the ingestion stage, DeepBlock has a clean, up-to-date repository of cross-chain blockchain data. Instead of you running your own nodes or scrubbing messy JSON RPC outputs, DeepBlock has done the heavy lifting, transforming raw chain data into a refined feed ready for analysis.

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