
Announcing the Deduplication Model
We’ve noticed that data from aggregators including Plaid and MX return duplicate transactions across multiple accounts for a user. These erroneous transactions result in incorrect
Fintechs and financial institutions use Pave’s Cashflow APIs to rapidly build underwriting models and predict bill payments, income, overdrafts, and more.
Access clean transactions to help customers understand spending behavior. Send alerts when spending habits change.
Use Cashflow endpoints & Account Health insights to develop credit builder products and reduce ACH settlement risk.
Use Cashflow endpoints to help your customers track and anticipate upcoming bills including loan payments, rent and utilities.
Help customers avoid overdrafts by analyzing their earnings, upcoming bills, and account balances.
Use Pave's Cash Advance Default Score and Attributes to predict and prevent defaults.
Lower ACH settlement risk using Pave's Attributes, Cashflow endpoints and Scores.
Analyzing financial data is painful.
It takes millions of dollars and ongoing software engineering, data engineering, and machine learning investment to:
We’ve developed AI-powered data infrastructure that’s built on a growing and diverse set of financial data. Our Scores and Attributes help consumer fintechs and personal lenders manage their credit risk, fraud risk, and financial management tools.
We power use cases like cash advance, credit builder, overdraft protection, and more.
We’ve noticed that data from aggregators including Plaid and MX return duplicate transactions across multiple accounts for a user. These erroneous transactions result in incorrect
Credit card defaults increased every month from December 2021 through April 2022. On top of that, it can take up to 60 days after a
We’re excited to announce the release of our Deposit Amount Required endpoint! This release follows a growing interest in helping consumers anticipate and prevent potential