A data rating and necessity scoring system is required for filtering long list of data providers and, providing appropriate and accurate data provider to the data consumer for a data sharing and discovery platform. The nature of data processed by this system will be IoT data. The focused consumer market is the artificial intelligence and machine learning model trainers. This system will make the task of data discovery and filtering multiple data sets according to the requirement of the model easy for the model owner. The system is aimed to make the process of data selection easy for the model owner. This system outputs the important parameters that carries more weightage while prediction. This will reduce the cost of data acquisition for the model owner as based on the weightage of the parameter he can select the parameters that should be included in the exported data set. This system is actually developed and thought as a feature for the bigger platform which will enable the IoT data providers and ml model data consumers to share real time and recorded data streams.