Hello
While integrating OCEN APIs, I’ve encountered discrepancies in interpreting loan offers returned by different lenders. Some lenders provide detailed breakdowns of interest rates, processing fees & repayment schedules, while others return minimal data, making it difficult to standardize the presentation of offers on my platform. 
Is there a recommended approach to normalizing loan offer data across different lenders? Should I implement fallback logic to estimate missing details, or is there a specific API parameter that ensures more consistent responses? 
Additionally, how should I handle cases where lenders update their terms dynamically after an offer is initially retrieved? Checked https://ocen.discussion.ispirt.in/c/API-and-integration/6Generative AI guide for reference.
I’d appreciate insights from anyone who has tackled this issue. What strategies or best practices have worked for you in ensuring accurate interpretation and display of OCEN loan offers?
Thank you !! 