How to Enrich Transaction Data with One API Call (and Why Your App Needs It)

If you've ever built a fintech app, a personal finance dashboard, or any product that deals with bank transactions, you know the pain: raw transaction strings like NFLX*NETFLIX.COM , AMZN MKTP US , or SQ *BLUE BOTTLE are completely useless to end users. Decoding those strings manually — matching them to real merchant names, categories, logos, and contact info — is a rabbit hole that costs weeks of engineering time and never quite works well enough. That's where transaction data enrichment APIs come in. And in this post, I'll walk you through how to integrate one in literally three steps. Why Enrich Transaction Data? Before we get into the code, let's think about what enriched data unlocks: Better UX : Show "Netflix" with a logo instead of "NFLX*NETFLIX.COM 866-579-7172 CA" Smarter categorization : Automatically tag spending as "Streaming", "Food & Drink", "Travel", etc. Subscription detection : Know which charges are recurring without building your own ML model Contact info on demand :