Entendre

Entendre

Entendre (a MoonPay company) · Business

Entendre is an AI accounting platform, now part of MoonPay. Its agents automate bookkeeping, reconciliation, and financial reporting for crypto and fiat finance teams.

Interface preview of Entendre

About Entendre

What Is Entendre

Entendre is accounting software for teams that hold both crypto and fiat money. The company joined MoonPay, and the product keeps its own name, its own roadmap, and its own customers. Rather than a chat window bolted onto a ledger, it runs a set of accounting agents that read transactions, code them, and post the journals.

The problem it goes after is familiar to anyone who has closed the books at a crypto company. Transactions arrive from exchanges, wallets, custodians, banks, and payroll systems, each in a different format. Someone has to match them, classify them, and turn the result into statements an auditor will accept. Entendre pulls that data in, handles the classification, and keeps an audit history for every entity.

The limits matter as much as the features. This is enterprise software for finance teams, not a cheap app for personal budgeting. There's no permanent free tier, pricing is quoted rather than posted, and a 14 day trial is the way in. A small business with one bank account and no digital assets will find it heavier than it needs.

Getting Started

  1. Sign up at app.entendre.finance. No sales call is required, and the trial runs for 14 days.
  2. Connect the accounts that hold your money: exchanges, wallets, banks, and your payroll provider.
  3. Map your chart of accounts and choose a general ledger target such as QuickBooks Online, Xero, NetSuite, Rillet, Campfire, or Dual Entry.
  4. Run an agent over a short date range, review the journals it proposes, then widen the scope once the coding looks right.

Product Information

A quick look at Entendre's pricing, supported platforms, and performance.

Free PlanNo
Paid PlansCustom pricing across Launch, Growth, and Scale plans
PlatformWeb app, REST API, MCP server, Slack, Telegram, Microsoft Teams
DeveloperEntendre (a MoonPay company)
CategoryBusiness
Release DateN/A
Latest UpdatedOct 2026
Website Visits631
Website Global Rank12.8M
API AvailabilityYes

Best for

The users, tasks, and scenarios where this tool fits best.

Users

  • Controllers at crypto companies
  • CFOs and heads of finance
  • Accounting firms with digital asset clients

Tasks

  • Month end close
  • Exchange and wallet reconciliation
  • Vendor accruals and schedules
  • Tax lot and realized gain reporting

Scenarios

  • A stablecoin treasury spread over 25 or more legal entities
  • Audit preparation
  • A fast growing startup with a lean finance team

Key features

Accounting agents that code transactions

The core of the product is a set of AI accounting agents that read a transaction and assign the right accounts, then post a journal. They learn from corrections, so a rule you fix once tends to stick. For teams doing automated bookkeeping across thousands of monthly movements, that is the difference between a review pass and a data entry project.

Copilot for live oversight

Copilot is the control surface. It shows every agent currently running an accounting task, what it has done, and where it is waiting on a human. You can pause a job, inspect the entries behind it, and ask questions in plain language. The point is supervision: agents do the work, a person signs off.

Vault for statements, bills, and invoices

Vault turns financial documents into structured data. It pulls statements, bills, and invoices from Google Drive and Gmail, parses them, and links each line back to the source file. When a number looks wrong, you can open the document it came from in one click, which is what makes the reconciliation review tolerable.

Integrations across exchanges, wallets, banks, and ERPs

Entendre connects to exchanges, custodians, wallets, banks, and payroll providers on the input side, and pushes journals to QuickBooks Online, Xero, NetSuite, Rillet, Campfire, or Dual Entry on the output side. You can also work from Slack, Telegram, or Microsoft Teams: ask a question, start a workflow, get an answer without opening a tab.

Reports built for an audit

The platform produces an income statement, balance sheet, trial balance, realized gains and losses, and tax lots, and the entries follow GAAP. Reports are generated from the same ledger the agents post to, so the numbers you show an auditor match the numbers in the system. For crypto accounting, that consistency is the hard part.

API and MCP server for your own tools

Everything the web app does is available through a REST API at api.entendre.finance/v1, and an MCP server at mcp.entendre.ai/mcp lets AI clients connect directly. Keys start with ek_live_, OAuth 2.0 is supported for third party apps, and the OpenAPI specification covers every public operation. If your team would rather script the close than click through it, this is the path.

Pros and cons

Pros

  • Crypto and fiat sit in one ledger, so you don't run a separate reconciliation stack for digital assets and bank accounts.
  • The audit trail is per entity and per entry, which shortens the question and answer loop with auditors.
  • Agents improve as you correct them, so classification quality climbs instead of resetting each period.
  • API and MCP access mean the close can be scripted, scheduled, or driven from an AI client rather than done by hand.
  • Self-serve signup with a 14 day trial lets a team test the ledger before talking to sales.

Cons

  • No public price list. You have to request a quote to compare plans, which slows down budgeting.
  • No permanent free plan. After the trial, the product is a paid commitment with no cheap entry point.
  • It assumes accounting knowledge. A founder without a controller will find the chart of accounts mapping and the GAAP reporting layer hard to use alone.
  • The heaviest integrations are built for mid-market and enterprise stacks, so a solo operator on a single bank feed gets little from them.

Frequently asked questions

It connects to the accounts where your money sits, classifies the transactions with AI agents, and produces journals and financial statements. Think of it as an AI bookkeeper for a finance team, with a review layer on top.