In this episode, we dive into LendAPI’s Pricing Engine to create dynamic offer tables for mortgage loans. Learn how to map variables, set conditions, and generate tailored APRs based on user inputs like income, FICO score, and occupancy type.
Introduction to LendAPI’s Pricing Engine as a data matrix for decisioning.
Creating and mapping input and output variables in Variable Studio.
Setting up dynamic offer tables for primary and secondary residence loans.
Using derived variables to combine borrower and co-borrower income.
Configuring conditions for FICO scores, borrower income ranges, and occupancy types.
Testing offer tables for accuracy and publishing them for use in workflows.