If you've ever worked with raw bank transaction data, you know the problem. A charge shows up as "SQ *COFFEE SHOP 84920 CA" and your app has to figure out what to do with it. Is it food? Is it local? What's the merchant called? Is there a logo?
The existing solutions are either locked behind enterprise pricing, bundled into platforms you don't need, or just not built with developers in mind.
I'm a cloud engineer who started digging into this space and realized that having access to this type of clean data can help accelerate numerous use cases in the fintech industry - customer PFM, CU/bank cross-sell analytics, spending insights, and more. So I decided to build an API that any product could plug into for its own needs.
FinCleanse is a transaction enrichment API that takes raw transaction strings and returns structured merchant data: name, category, and logo. The core enrichment layer is built and live. I just launched a public demo at demo.fincleanse.com where you can try it with a natural language search interface and see what it returns.
This is early. I'm not here to pretend otherwise. What I'm looking for right now is feedback from developers who've dealt with this problem, fintech builders who've evaluated existing options, or anyone who takes the demo for a spin and has thoughts.
If that's you, I'd love to hear from you.
Thank you!