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		<www.jsetms.com>
		<Title>API USAGE VOLUME AND RESPONSE TIME DASHBOARD</Title>
		<Author>1 Dr B Anil, 2 D Varshith, 3 K Shiva Kumar, 4 Ch Krishnaveni, 5 Md Furqan Ahmed</Author>
		<Volume>03</Volume>
		<Issue>09</Issue>
		<Abstract>The API Usage Volume and Response Time Dashboard is a monitoring and analytics system designed to track API performance usage patterns and service reliability in real time Modern applications depend heavily on APIs to exchange data between clients servers databases and external services As API traffic increases it becomes important to understand how frequently APIs are being called and how quickly they respond to requests The proposed dashboard provides a centralized platform for collecting processing analyzing and visualizing API performance information The system focuses primarily on two important performance indicators API usage volume and response time API usage volume represents the number of requests received or processed during a specific period while response time represents the time taken by an API to return a response By monitoring these values continuously administrators and developers can identify traffic spikes slow endpoints unusual usage patterns and potential performance problems The dashboard presents collected API data through interactive charts graphs tables and summary metrics Users can analyze API requests according to time intervals endpoints status codes responsetime ranges and request volumes The system can also identify hightraffic APIs and endpoints with poor response performance This makes it easier for technical teams to understand system behavior without manually examining large amounts of server or application logs The proposed solution helps organizations improve API reliability and application performance by providing meaningful information in a simple visual format Historical data can be used to compare performance across different time periods and identify recurring issues Overall the dashboard acts as a practical monitoring and decisionsupport system for maintaining efficient scalable and reliable APIbased applications</Abstract>
		<permissions>
<copyright-statement>Copyright (c) Journal of Science Engineering Technology and Management Science. All rights reserved</copyright-statement>
<copyright-year>2026</copyright-year>
</permissions>
		</www.jsetms.com>
		