ThedatastackforAudit,TaxandFinancialreconciliation

Audit and compliance teams working with onchain data are all facing a common problem.

Writing full data pipelines to normalize raw transaction data, manually mapping addresses to entities, and rebuilding that logic every time a new chain or token standard changes. By the time the data is usable, it's taken longer than the audit itself.

For audit and compliance teams, Dune is not just a research tool, it's the data infrastructure layer that turns raw onchain activity into the normalized, source-traceable records your accountants need to produce journal entries, file taxes, and sign off on reconciliations.

Introducing the production-ready reconciliation data stack, built on Token Transfers (what moved and when) and Decoded Logs (why it moved) — with Labels available to layer in entity attribution across known addresses in your dataset.

Token Transfers is a canonical, normalized transfer table covering EVM, Solana, Stellar, Ripple, Aptos, Sui, and Tempo. Every row traces back to its source transaction. The schema is identical across every chain with the same SQL pattern works whether you're reconciling USDC on Ethereum or a token movement on Ripple. Normalize across all chains in a single query.

Every dataset is validated against source blocks, checked for reorgs, missing events, and malformed data, so the number your query returns matches what's on the chain.

Decoded Logs (EVM) turns raw contract events into structured, queryable records. For every EVM transaction, the relevant contract execution is decoded and standardized, so accountants and auditors have a clean, human-readable record of what actually happened onchain, not just that a transaction occurred. This is the evidence layer: the data that makes an audit trail defensible.

Labels & Entity Attribution maps known wallet addresses to named major entities like exchanges, custodians, protocols, and institutional players. Available as an add-on alongside Token Transfers and Decoded Logs.

**Talk to us about your onchain data setup.**

Take a custodian that needs to verify all client deposits and withdrawals across EVM, Ripple, Tempo, and Solana for a given reporting period. The workflow runs like this:

First, a balance check: query Token Transfers for all movements across the relevant wallets, one query, normalized schema. Every result ties back to a source transaction hash. If balances reconcile, you're done. If there's a mismatch, you drill into transactional history, identify the discrepancy, and give it a green checkmark.

For teams that need counterparty context, the Labels dataset can be layered on top. Where Dune's coverage maps an address to a known entity — exchanges, custodians, institutions — that address resolves to a name rather than a hex string, adding useful context to reconciliation reports and tax calculations.

BitGo, a digital asset custody service company, runs exactly this workflow with Dune. Their goal: cross-check deposits and withdrawals across all custodied accounts. Token Transfers gives them the normalized, source-traceable data layer to do it at scale, across every chain their clients hold assets on.

For teams currently maintaining per-chain indexers or pulling from raw node data, this replaces a significant amount of data engineering overhead. One provider. One schema. One contract.

Token Transfers and Decoded Logs are queryable via SQL on Data Hub, deliverable via datashare, and accessible through the Dune API. Labels is available as an add-on for teams that want entity context on top of their transfer and log data, which includes major exchanges, custodians, and institutions covered. These datasets plug into the data stacks that audit teams and compliance platforms are already running, or feed directly into the tax software and sub-ledger tools your clients are using upstream.

If your team is running onchain audits, building tax calculation infrastructure, or reconciling multi-chain treasury movements, talk to us.

EVM Token Balances gives tax, risk, and compliance teams curated historical balance-change data across major EVM chains, so you can answer "what did this wallet hold on this date?" without rebuilding the reconstruction pipeline from raw transfers, RPC calls, and token edge cases.

Talk to our team to get first access →