How TRES helps you confidently close your accounting period — from raw blockchain data to audit-ready financial statements.

Overview

"Closing the books" in crypto accounting means reaching a state where all transactions are:

• Complete — every on-chain and off-chain movement is captured

• Priced — every transaction has an accurate fiat value

• Classified — every transaction has the correct activity label

• Clean — spam and irrelevant noise is excluded

• Reconciled — your records match on-chain reality

• Mapped — transactions are assigned to the correct GL accounts in your ERP

• Calculated — cost basis, realized/unrealized gains, and P&L are accurate

TRES automates each of these requirements, working as a unified pipeline so you spend less time chasing data issues and more time on strategic accounting decisions.

1. Data Collection & Reconciliation

Automated Data Ingestion

TRES connects to your blockchains, exchanges, and custodians and runs a continuous pipeline:

1. Collect — transaction data is automatically fetched from all your connected sources

2. Enrich — data is enriched with token metadata, contract interactions, and DeFi protocol detection

3. Build — raw data is transformed into standardized ledger entries with amounts, directions, and counterparties

4. Reconcile — computed balances are compared against actual on-chain/exchange balances to verify completeness

Balance Reconciliation

TRES continuously compares your ledger balances against on-chain reality for every wallet and asset. When a discrepancy is detected, it's immediately surfaced in the Reconciliation tab on your Overview page — showing you exactly which wallets and assets need attention and why.

Scheduled Reconciliation Pipelines

For complex multi-custodian setups, TRES runs fully automated daily reconciliation cycles that:

• Sync the latest data from your custodians

• Commit and verify on-chain data

• Match internal records against external sources

• Automatically backfill any missing items

This runs on a schedule so your data stays complete without any manual effort.

2. Fiat Value (Pricing)

Every transaction needs an accurate fiat value for your books. TRES uses a multi-layered pricing engine to ensure comprehensive coverage.

How Pricing Works

TRES tries multiple pricing sources in priority order until an accurate price is found:

1. Custom strategies — specialized pricing for DeFi vault tokens, debt tokens, LP tokens, and platform-specific assets

2. Market data providers — CoinGecko, CoinMarketCap, and other aggregators

3. DEX on-chain pricing — direct pool rates for tokens only available on decentralized exchanges

4. LP Token pricing — resolves pool composition for liquidity provider tokens

5. Exchange-specific data — prices sourced directly from your exchange (Kraken, Coinbase, Binance, etc.)

Price Quality Assurance

A validation pipeline automatically catches anomalous prices:

• Stablecoin peg validation (auto-fixes flash crash artifacts)

• Historical floor/ceiling checks for major assets

• General reasonableness bounds

• Automatic substitution when a price fails validation

Resolving Missing Prices

When standard pricing channels don't cover an asset, TRES provides multiple resolution paths:

• Swap alignment — derives price from the other side of a swap transaction

• LP recalculation — calculates price from pool composition

• Similarity matching — uses pricing from similar transactions in your organization

• Manual configuration — you can set a fixed price for an asset over a date range

The Missing Fiat Value card on your Overview shows exactly which assets still need pricing, with direct links to the affected transactions.

3. Spam Classification

Spam transactions (airdrops, dust attacks, scam tokens) pollute your ledger and distort financial reports. TRES automatically identifies and excludes them.

How Spam is Detected

• Risk API analysis — contracts and tokens are checked against security databases for known malicious behavior, fake assets, and risky senders

• Dust attack detection — identifies address poisoning attempts where attackers send tiny amounts to plant look-alike addresses in your history

• Pattern recognition — mass-airdrop patterns, symbol impersonation, and other spam indicators

• Manual override — you can always mark any transaction as spam (or not spam), and your decision persists

What Happens to Spam

Once classified, spam transactions are automatically excluded from:

• Your transaction count and ledger views

• Cost basis calculations

• Roll forward reports

• ERP sync

• All financial reports

Spam never affects your financial close.

Always Running

Spam detection runs continuously in the background — new transactions are checked within minutes of appearing, and previously unclassified assets are periodically re-evaluated as new intelligence becomes available.

4. Transaction Classification & Rules

Automatic Activity Labels

TRES assigns activity labels (Swap, Staking Rewards, Internal Transfer, Operations, etc.) to every transaction using a rule engine:

• Your custom rules take priority — create rules scoped to your organization for your specific workflows

• Global rules provide intelligent defaults for common patterns across all supported platforms

Classification considers the transaction method, platform, asset, sender, recipient, and contract protocol.

How Classification Affects Your Books

Transaction Rollups

If you have high-volume activity (thousands of daily staking rewards or gas fees), TRES can aggregate them into summary entries per time period:

• Configure by wallet, asset, direction, and interval (daily or monthly)

• Balances stay accurate — only the presentation changes

• AI suggests optimal rollup rules based on your transaction patterns

5. Internal Transfer Detection

When you move funds between your own wallets, those aren't taxable events. TRES automatically detects these and handles them correctly.

Intelligent Matching

TRES uses a two-stage approach:

1. Exact matching — pairs movements within the same transaction, including cross-chain bridges (e.g., USDC on Solana ↔ USDC on Ethereum)

2. Fuzzy matching — finds related movements across different transactions within a time window, handling amount variations from fees or bridges

Why It Matters for Your Books

When an internal transfer is detected:

• The original purchase cost carries through to the receiving wallet

• P&L on the transfer is always zero (it's not a sale)

• When you eventually sell from the receiving wallet, the correct original cost basis is used

This prevents artificial gains or losses from appearing on internal movements.

6. Cost Basis Calculation

TRES calculates cost of goods sold (COGS), profit & loss, and realized gains — the numbers you need for tax returns and financial statements.

Supported Accounting Methods

What's Handled Automatically

• Short positions — when you sell more than your available inventory, TRES tracks the shortfall and resolves it when you acquire more

• Cross-wallet resolution — short positions are resolved across wallets at the organization level

• Internal transfer carrying — original cost follows assets through wallet-to-wallet movements

• Holding period tracking — P&L is split into short-term and long-term for tax reporting

• Per-wallet or org-level scope — choose how cost basis is calculated for your organization

Financial Issue Detection

TRES flags data-quality issues that could affect your cost basis and surfaces them on the Missing Cost Basis card on your Overview. Each issue links directly to the affected transactions.

Locked Periods

Once you've finalized a period, lock it to prevent any changes:

• No reclassification of transactions

• No internal transfer matching changes

• No cost basis modifications

• No spam reclassification

Your audited data stays immutable.

7. ERP Integration & Sync

Supported Systems

• QuickBooks — connect via OAuth

• NetSuite — enterprise ERP with full subsidiary/class/department support

• Xero — connect via OAuth with department and entity support

• Rillet — direct API integration

• Manual — upload your chart of accounts via CSV

How Mapping Works

TRES maps your crypto transactions to the correct GL accounts using a rule system you control:

1. Specific transaction rules — exact matching for particular transactions

2. Internal transfer rules — dedicated handling for inter-wallet movements

3. Custom rules — your logic based on platform, asset class, wallet, or contact

4. Default rules — catch-all assignments for everything else

Asset Class Grouping

Rules are created at the asset class level, not per-token. One rule for "Bitcoin" covers BTC, WBTC, renBTC, and any other Bitcoin-related asset. This keeps your rule set manageable even as new tokens appear.

Sync Tracking

Every transaction's sync status is tracked (Pending, In Progress, Completed, Failed, Ignored). If you modify data in TRES after syncing, the system flags those transactions as "Changed After Sync" so you can decide whether to re-sync.

Chart of Accounts Refresh

Your ERP's chart of accounts is automatically refreshed — new accounts, updated names, and organizational data (departments, classes, subsidiaries) stay in sync.

8. AI & Automation (Autopilot)

Autopilot — Your AI Accounting Assistant

Autopilot is an AI agent that helps you execute accounting workflows conversationally:

• Analyze transaction patterns and suggest classification rules

• Generate optimal rollup rules for high-volume activity

• Map your chart of accounts with guided ERP setup

• Run scheduled checks that monitor your data health automatically

Close the Books Workflow

The flagship Autopilot workflow runs a comprehensive readiness check in one pass:

• Reconciliation issues (wallets where the ledger doesn't match on-chain)

• Missing cost basis (transactions with financial issues)

• Missing fiat values (unpriced transactions)

• COA mapping gaps (transactions without ERP account assignments)

• Locked period status

You get a structured report with a categorized task list showing exactly what to fix and in what order.

AI-Powered CSV Import

When you need to import off-chain transactions, AI analyzes your file structure, proposes column mappings, and transforms the data — with error feedback if anything doesn't match.

AI Rollup Suggestions

TRES analyzes your high-volume transaction patterns and proposes optimal rollup rules — saving you from manually configuring aggregation for thousands of repetitive entries.

9. Agentic Workers — Self-Healing Data

TRES operates as an agentic system that continuously monitors your data quality, identifies issues, and resolves them — often before you even notice a problem.

How It Works

The system runs a continuous loop:

1. Detect — scheduled scans identify data issues across your organization (missing prices, reconciliation gaps, spam, cost basis problems, unmapped assets)

2. Create ticket — issues are logged as tasks with priority, category, and a resolution plan

3. Resolve — automated workflows execute the corrective action (recalculate prices, mark spam, trigger cost basis recalculation, etc.)

4. Verify — success criteria are checked and the task is closed

What Gets Resolved Automatically

Task Board

All tasks — whether system-generated or manually created — are tracked on a kanban board:

Suggestions → Backlog → In Progress → In Review → Done

Each task shows its priority, category, execution plan, and current status. You have full visibility into what TRES is doing on your behalf.

10. Reporting & Audit Readiness

Roll Forward Report

The definitive audit report that proves your balance movements:

Opening Balance + Inflows − Outflows − Fees = Closing Balance

For each asset and wallet, you get:

• Token quantities with on-chain balance verification

• Fiat valuations at period start and end

• Cost basis (opening and closing)

• Realized and unrealized gains

Additional Reports

• Rollup Breakdown (detail behind aggregated transactions)

• Cost Basis reports (per asset class, per wallet)

• Staking Rewards reports

• Full ledger export

11. Data Integrity Dashboard

Your Overview page provides a unified Data Integrity Status panel that shows all blockers to closing at a glance:

Each widget links directly to the relevant resolution path — creating a clear journey from "not ready" to "ready to close."

How It All Fits Together

Each layer feeds the next:

1. Data Completeness — Automated collection, balance reconciliation, scheduled pipelines

2. Data Cleanliness — Spam removed, internal transfers identified, activity labels assigned, rollups applied

3. Valuation — Multi-source pricing with validation, missing values resolved, swap alignment

4. Financial Calculations — Cost basis (6 methods), realized/unrealized gains, internal transfer carrying

5. ERP Sync — Rule-based GL mapping, tracked lifecycle, chart of accounts refresh

6. Audit Readiness — Roll forward report, on-chain verification, data integrity dashboard, locked periods

7. AI & Automation — Autopilot workflows, CSV import, rollup suggestions, scheduled reconciliation

8. Self-Healing Data — Continuous scanning, automatic task creation and resolution

Data must be complete before it can be clean, clean before it can be valued, valued before cost basis can run, and cost basis must be accurate before ERP sync produces correct journal entries. TRES automates each layer and surfaces remaining gaps through the Data Integrity dashboard, giving you a clear, actionable path to a confident period close.