Transaction intelligence API

Turn transactions into meaning.

TXNORA turns raw transaction data into normalized merchants, categories and contextual labels through one API. Processing is GDPR-compliant and runs on LLM endpoints hosted locally or in the EU.

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Free trial access, developer documentation and pricing – within 24 hours of your request.

Raw transaction dataStructured intelligenceMerchant · Category · Labels · Confidence

Raw transaction data: PAYPAL *ADOBE−59.49 EUR
AStructured intelligence:
Merchant
Adobe
Category
Software
Labels
SOFTWARE
DIGITAL_SERVICE
Confidence
98.4%
Raw transaction data: REWE SAGT DANKE 1834−42.17 EUR
RStructured intelligence:
Merchant
REWE
Category
Groceries
Labels
GROCERIES
RETAIL
Confidence
99.1%
Raw transaction data: AMZN MKTP DE*X4H88291−129.90 EUR
AStructured intelligence:
Merchant
Amazon
Category
Retail
Labels
ECOMMERCE
RETAIL
Confidence
96.2%

Example data from three typical transactions.

Built for financial software.

Fintechs
Accounting platforms
Expense tools
Analytics products

From raw to structured

One API. Structured context.

Make transaction data easier to work with: clear merchant names, consistent categories and useful contextual labels.

Merchant recognition
Resolve inconsistent transaction descriptions into recognizable merchant names.
Transaction classification
Organize transactions with a consistent category structure.
Contextual labels
Add context beyond a single category, such as software, retail or mobility.
Confidence scores
Surface model confidence alongside predictions so your product can decide what needs review.

More about the product

The platform behind it

One API, many data tasks.

Transaction intelligence is the lead example. The same platform also processes texts, documents and records, for example from e‑commerce, CRM or document management.

More about the platform

Categorization: Assign texts, documents or records to categories automatically.
Labeling: Tag data automatically with defined labels.
Data Annotation: Annotate large volumes of data in a structured way.
Data Classification: Classify data automatically based on your own criteria.
Information Extraction: Extract relevant information from unstructured data.
Data Intelligence: Analyze, structure and enrich existing data.
Custom Endpoints: Process data according to your own prompts, rules and data structures.

Developer first

Raw data in.Structured context out.

See how a transaction becomes a merchant, a category and a set of contextual labels – through a simple REST API that is quick to integrate.

Developer overview

POST /v1/transactions/classify

{
  "transaction_id": "txn_demo_001",
  "amount": "-59.49",
  "currency": "EUR",
  "booking_date": "2026-10-05",
  "counterparty": "PAYPAL *ADOBE",
  "purpose": "ADOBE SOFTWARE"
}

{
  "transaction_id": "txn_demo_001",
  "merchant": {
    "name": "Adobe"
  },
  "category": {
    "id": "software",
    "name": "Software"
  },
  "labels": [
    "SOFTWARE",
    "DIGITAL_SERVICE"
  ],
  "confidence": 0.984
}

Simplified example of a request and response.

Privacy & hosting

GDPR-compliant.Hosted locally or in the EU.

With financial and company data, where and how it is processed matters. At TXNORA, that is clearly defined.

GDPR-compliant processing
TXNORA processes transaction and company data in line with the GDPR.
Hosted locally or in the EU
The language models run on LLM endpoints hosted locally or in the EU.
No conventional public AI services
Sensitive company data is not passed on to conventional public AI services.
No LLM infrastructure of your own
You use the models through the API without building or running LLM infrastructure yourself.

Processing path

Your system: sends data via REST API
TXNORA: categorizes, labels and structures
Hosted locally or in the EU
LLM endpoints: process the request

Conventional public AI services: No sensitive company data passed on

Pricing & custom solutions

Usage-based.Transparent.Competitive.

You pay for what you actually use, on clear terms. That makes TXNORA a very competitive alternative to international LLM APIs.

Custom solutions

For your own data models, prompts and rules, we set up custom endpoints – including for specific business processes and large data volumes.

Request pricing

Trial access is free. You receive our pricing together with it.

Built for your product

A clearer layer for financial data.

Bring structured transaction context into the experiences you build.

Fintechs
Make transaction feeds easier for people to understand.
Accounting platforms
Add merchant and category context before transactions enter a review workflow.
Expense tools
Bring more consistency to spending categories and review queues.
Analytics products
Work with structured transaction data in your own reporting experience.