Crypto Accounting Software

Close DeFi books faster: transactions pre-classified, historical positions valued, client complexity known before you quote.

Enriched transaction history, DeFi P&L and wallet analytics from one API, so your platform spends less time decoding and more time reconciling.

The problem

  1. 01

    Every DeFi wallet is a research project. Raw transfers do not say whether a movement was a deposit, a claim, a liquidation or a bridge; someone has to work it out before a single entry is booked.

  2. 02

    DeFi gains are invisible in the ledger. Accrued yield, rewards, fees and impermanent loss across open and closed positions do not exist in explorer data — and they are exactly what the tax and audit output needs.

  3. 03

    Onboarding is priced blind. Quoting on transaction count alone misprices clients whose 300 transactions span twelve protocols and four chains.

What Datai delivers

  • Transaction classification. Every transaction with txType (Deposited, Withdrew, Borrowed, Repaid, Claim, Exchange, Bridge In/Out…), txAction (Lending, Liquidity Pool, Staked, Farming…), txClassification, protocol, contractName, functionName, a scam flag and USD-valued fees and movements. Build your own tax and accounting mapping on the raw context fields — the docs recommend exactly that, because taxable-event rules differ by jurisdiction.

  • User Insights — positions and P&L. Historical DeFi balances at a date or over a period, and accumulated realised/unrealised P&L, yield, rewards and fees per position for supported protocols, with every position's transactions retrievable for reconciliation.

  • User Insights — wallet analytics (beta). Transaction counts (valid, failed, scam), chains and protocols touched, DeFi and bridging activity, first and last transaction dates — the inputs for a complexity score at onboarding.

  • Format. JSON over REST, filter by chain and by period; "rawlabel" endpoints for cheaper bulk history without USD valuation when you price positions yourself.

Outcome

Automated transaction categorisation and ready-to-use historical DeFi balances and gains/losses, plus complexity-based client quoting — the three outcomes in the source case. Customers report the effect directly: Darien Advisors cites roughly 10 hours saved per project on understanding transactions; SoftLedger and Breezing cite automated assessment of prospective-client complexity and fair, transparent pricing.

“Datai provides a quick and easy way for accounting firms to evaluate clients using digital assets. The system automatically imports data from various wallets to give a clear picture of the complexity of a prospective client, enabling firms to provide a realistic quote.”

Ben TaylorCEO, SoftLedger

Integration notes

  1. Ingest v2/userTx/period/chain/extended per client wallet and period into your transaction table; key your classification rules on txType, txAction, protocol and walletToWallet, and route blacklisted = true rows to a review queue.

  2. At period end, pull userDeFiPositionsWithPnl historical endpoints for closing balances and yieldAndPnl for accrued gains; join to transactions via the position id.

  3. At onboarding, provision the wallet and read v2/userTx/analytics → generalAnalytics and protocolBreakdown to compute a complexity tier before quoting.

See it on your own wallets first.

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