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Data Quality Verification

Dune is committed to delivering high-fidelity blockchain data that teams can trust for critical analytics, applications, and business decisions. Our data quality framework ensures accuracy, completeness, and consistency across 100+ blockchains through continuous automated verification and monitoring. Data quality isn’t a one-off test. It’s a set of automated, continuous checks running at every stage of our pipeline, from raw block ingestion through transformation and delivery.
Monitoring: Status Page · Data Freshness

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Trusted at Scale

Dune has been indexing and serving blockchain data longer than any other onchain data platform. Our infrastructure processes millions of queries per day across 100+ blockchains, powering analytics for leading exchanges, DeFi protocols, investment firms, and blockchain foundations worldwide. This isn’t just scale for its own sake. It’s operational proof. Every chain-specific edge case, every reorg pattern, every data quality challenge that exists in onchain data, we’ve encountered and built systems to handle. The quality framework described on this page has been refined through years of production operation at a scale no other onchain data provider matches.
“Huge credit to the Dune team for their speed, precision, and commitment to making onchain data accessible and actionable.” Luke Judges, Director at Ripple

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How Our Pipeline Works

Dune’s data pipeline processes blockchain data through three stages, each with its own quality controls: 1. Ingestion: We ingest raw block, transaction, log, and trace data directly from blockchain nodes. Automated checks at this stage catch missing blocks, duplicates, and malformed data. 2. Automated Quality Processing: Continuous, 24/7 reconciliation and validation runs across all data tiers. This includes gap detection, reorg handling, deduplication passes, ABI validation for decoded data, and cross-reference checks between data layers. 3. Validated Output: The result is production-ready datasets that have been validated through the processes above. Raw data preserves full chain history with integrity guarantees. Decoded data accurately parses contract interactions. Curated datasets like dex.trades and tokens.transfers apply standardized schemas and business logic to make blockchain data easily accessible for all your use cases.

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Our Data Quality Framework

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Gap Detection

We ensure complete chain histories with no missing blocks or transactions. Our automated systems continuously scan for gaps in data sequences and flag any missing records for immediate remediation.

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Duplicate Detection

Our data pipeline includes validation checks to prevent duplicate records from appearing in our datasets. This is critical for accurate counting, aggregation, and analysis.

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Block Integrity

Every block must contain all its expected components in the correct structure and sequence. We verify that blocks maintain continuity across chains and that all transactions, event logs, and trace data within each block are complete and properly ordered.

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Re-org Handling

Blockchain reorganizations can invalidate recently indexed data. Our raw data infrastructure includes reorg detection and handling mechanisms to maintain data accuracy:
  • Finality awareness: For chains with higher reorg propensity, we wait for sufficient block confirmations before indexing. This ensures that only finalized, stable blocks are included, preventing the ingestion of potentially reversible transactions.
  • Reorg detection: We run checks to identify blocks where chain reorganizations have occurred, flagging affected data for correction.
  • Data correction: When reorgs are detected, affected blocks are re-harvested and replaced with the canonical chain state.
Important caveats:Reorg detection coverage varies by chain. While our reorg handling is robust for high-value chains with known reorg patterns, detection and correction timelines can vary across our full chain catalog.Curated data propagation is not immediate. If a curated dataset (e.g., dex.trades) processes data from a block that is later reorged, the curated data updates on its next transformation cycle, not immediately. For the vast majority of use cases this has no practical impact, as reorgs typically affect only the most recent blocks and curated data refreshes frequently.

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Token Metadata Updates

Token metadata (names, symbols, decimals, contract addresses) changes frequently as new tokens are deployed and standards evolve. Dune continuously updates token metadata across all supported chains to ensure you always have access to the latest information.

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Null Detection & Validation

We identify and address missing values in critical data fields. Our validation rules flag unexpected nulls in essential columns, ensuring data completeness and preventing errors in downstream analysis.

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Monitoring & Transparency

Real-time visibility into data health:

Data Freshness

Check current ingestion latency for all supported chains and curated datasets.

Status Page

Subscribe to alerts for any incidents affecting data availability or quality.
If you discover a data quality issue, let our team know. We investigate every report and prioritize fixes based on impact.
“Dune has by far the largest and most comprehensive dataset on the market.” Dan Smith, Senior Research at Blockworks

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Next Steps

Enterprise Data Quality Guarantees

For custom SLAs, dedicated support, and priority issue resolution, talk to our enterprise team.

Build Validated Pipelines on Dune

Run your own dbt projects on Dune’s data warehouse. Full incremental model support, automated testing, and CI/CD.