Built for the teams shipping financial features
Neobank backend engineers and PFM product managers use Openaggr when they need transaction categorization, cashflow insight, and recurring detection, and they need it without dedicating a sprint to building a classification model that is not their core product anyway.
Two buyer profiles, one integration
From the developers who integrated it
"Our original scope was six weeks to build, train, and ship a category model. We used Openaggr instead, were in production in two days, and redirected that time to the features that actually differentiate our app. The taxonomy depth is more than we would have built ourselves."
"Edge cases were the failure mode for every home-grown approach we tried. Split charges from rideshare platforms, gig-economy merchant strings, and cross-border transactions all hit the uncategorized bucket. Openaggr handles those patterns correctly and returns a confidence score, so we know when to surface an override option instead of a wrong label."
"The cashflow forecast endpoint saved us at least a quarter of work. We wanted to show a projected balance feature in our app. The /cashflow response had everything we needed: per-category projections, recurring charge isolation, income/expense split. We just mapped it."
See how Openaggr fits your stack
Start with a free Sandbox key. Test with your own transaction strings before committing to a plan.