Consistently categorize your consumer or business financial data.
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Companies using Categorization

  • Meow logo
  • TeamPay logo
  • Array logo

Give context to your financial data using our global, industry categories. Or bring your own.

Accurately categorize financial data from consumers or businesses.
Bring your own categories. We can retrain our models using the ones you want to see.
Predict the MCC for financial data from any source.


Improve customer satisfaction by allowing users to personalize categories to see the data any way they want.
Leverage consistent spend categories to better understand customer behaviours.
Build automations on top of consistent spend categories to save time and focus on work that adds value.

Use consistent categories to build automated workflows and processes such as expense policy management as shown below.

In-store transaction example
Spend policy enforcement

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Ship faster integrating with our Python SDK or Rest API in minutes. No prior setups or data formatting. You can get going straight away as soon as you have incoming data and your first customers

from ntropy_sdk import SDK, Transaction
tx = Transaction(
description = "amzn mktp us*2y2f06l01",
entry_type = "outgoing",
amount = 20.32,
iso_currency_code = "USD",
date = "2021-11-01",
account_holder_type = "consumer",


01- 05

Digital banking

Build a comprehensive picture of your customers and close data gaps with enriched financial data.

Business underwriting

Verify self-reported business data quickly with enriched financial data from the source of truth - bank accounts.

Consumer Underwriting

Close the gaps of credit bureau data by leveraging enriched financial data.


Improve authorisation rates by using accurate and consistent financial data.

Financial operations

Enrich financial data so it is easy to track, reconcile and manage your money.

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Join hundreds of companies taking control of their transactions

Ntropy is the most accurate financial data standardization and enrichment API. Any data source, any geography.