Agent 17 · FinTech · Transaction Enrichment

Transaction Narrative Enrichment Agent

Paste raw bank transaction strings and get back clean, human-readable descriptions — merchant name resolved, category classified, channel identified, and confidence scored in a single pass.

FinTech Transaction Enrichment Classification Structured Output

Transaction Enrichment · Active

session: txn-0001

Sample batches:

A17

Transaction Enrichment

Paste raw transaction strings — one per line. I'll resolve the merchant name, classify the category, identify the payment channel, write a clean human-readable description, and assign a confidence score to each enrichment.

Tip: paste 3–10 raw transaction strings for best results. Use the preset buttons above to try with sample data.

Cloudflare Worker

Claude API

Tokens: 0

Run: 0

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Merchant Resolution

Cryptic bank codes and truncated acquirer strings are resolved to the real merchant name — including brand, location context, and trading name where identifiable.

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Category & Channel

Each transaction is assigned a spend category (e.g. Groceries, Travel, Subscriptions) and a payment channel (Online, In-Store, Contactless, Direct Debit) based on string signals.

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Confidence Scoring

Every enrichment carries a HIGH, MEDIUM, or LOW confidence rating — flagging ambiguous strings so downstream systems or analysts know where to apply manual review.

Read the Case Study →