01
Enriched transactions from the moment accounts connect.
Raw bank data shows "SQ*MERCHANT 84302 SF CA." Enriched data shows "Blue Bottle Coffee, Coffee Shops, $5.75, recurring weekly." Quiltt's enrichment partners add categories, merchant names, and recurring-charge detection to transactions so your budgeting, insights, and spending features are built on data users recognize. Historical transactions backfill within roughly 24 hours of connection.
02
Coverage across every institution your users bank with.
A typical PFM user has accounts at two or three banks and possibly a credit union. They expect all of them to connect. Quiltt's smart routing draws on the breadth of Plaid, the data depth of MX, the bank-direct connections of Akoya, and more, picking the best source per institution. When a coverage gap shows up, you add an aggregator from the Dashboard.
03
Fresh data, not last night's snapshot.
Webhooks fire when new transactions arrive or balances change. Real-Time Balances returns a current number when you need one. A user who opens your app at 9pm sees what they spent at 8:45, without you running a polling loop to get it. Webhooks fire when new transactions arrive or balances change. Real-Time Balances returns a current number on request. Your app stays live without a polling loop. And you don't have to build one.