Solution

Processor descriptor cleanup

TxnKit helps teams solve processor descriptor cleanup with one safe descriptor, confidence-aware output, and warnings when identity evidence is weak.

Ask about a 100-descriptor cleanup auditInspect the API

Target intent

normalize Square, Stripe, PayPal, Shopify, and other wrapper text.

TxnKit does not call processor APIs during enrichment.

Raw descriptor

SQ *JOES COFFEE 0421 TORONTO

API-shaped output

{
  "input": {
    "descriptor": "SQ *JOES COFFEE 0421 TORONTO",
    "country": "CA"
  },
  "output": {
    "merchant_name": "Joes Coffee",
    "category": "Coffee shop",
    "confidence": "medium",
    "signals": [
      "processor_pattern",
      "merchant_alias",
      "category_hint"
    ],
    "warnings": [
      "review_low_confidence_matches_before_showing_logo"
    ],
    "logos": []
  }
}

Low-confidence results should keep fallback labels and warnings visible instead of forcing a guessed logo or website.

When to use

  • You need processor descriptor cleanup for transaction-feed UI, audit, or import review workflows.
  • You can send safe anonymized descriptors without customer PII or full statement text.
  • You want API-shaped output that a developer can inspect before wiring product UI.

When not to use

  • TxnKit does not call processor APIs during enrichment.
  • Do not use TxnKit to process card numbers, account numbers, full statements, bank credentials, emails, phone numbers, addresses, customer names, or customer PII.
  • Do not use TxnKit when the product requirement is guaranteed merchant identity, every-merchant resolution, or contracted uptime terms.

Proof surfaces

The public contract is POST /v1/enrich, backed by the OpenAPI file, benchmark examples, privacy rules, and deterministic request-path tests.

OpenAPI · Benchmark · Security · Pricing

Related pages