Yacine Nouri

We’ve created an endpoint to upload any additional data about a user such as loan approvals or rejections, defaults, loan payment attempts, and more. This data will be used to improve our Attributes and Scores by supplementing transaction data with custom information.

We updated our model to remove duplicate transactions while computing insights to correct these duplicate errors.

The User Labels endpoint allows you to assign labels to a user to customize your financial data with additional fields.

We’re excited to announce that we’ve utilized Snowflake to share our attributes table from our Snowflake data warehouse with yours! We’ve received a lot of feedback from data science and risk teams that a much easier way to work with Pave’s data is by accessing tables rather than calling the API for each user. This allows you to rapidly test and incorporate our 300+ attributes in an ML model or for analysis.