We urgently request an upgrade to the existing log analysis tool for the REST M3 API connector. Currently, the tool lacks the essential capability to efficiently search for specific transactions or data within the logs. With each call and response generating individual log files, the volume of transactions quickly becomes overwhelming, rendering effective analysis nearly impossible. In contrast, the previous socket-based M3 API connector generated a consolidated API text file that enabled easy data search and facilitated comprehensive analysis, including input and response times. The current limitation significantly hinders error diagnosis, making the troubleshooting process arduous and time-intensive. We propose the development of an advanced log analysis tool that can efficiently handle the volume of transactions, enable precise data search, and streamline the analysis of errors and performance metrics. This enhancement would greatly enhance the usability and effectiveness of the REST M3 API connector for our users.