using Web service APIs that adhere to its REST architectural constraints (RESTful API). Data as a service business model Data as a service as a business model is a concept when two or more organizations buy, sell, or trade machine-readable data in exchange for something of value. Data as a service is a general term that encompasses data-related services. Now DaaS service providers are replacing traditional data analytics services or happily clustering with existing services to offer more value-addition to customers. The DaaS providers are curating, aggregating, analyzing multi-source data in order to provide additional more valuable analytical data or information. This data is being used to increment internal companies' data to improve business processes and decision making, for AI training and for supplementing organization’s services or products. Wherein, external DaaS uses data licensed from a vendor, which is supplied to a customer on demand. For example, Clearbit uses internal customers data (CRM, MAP and ABM), so they could provide more personalized services, and also enriches their systems with real-time data to improve lead routing, to enhance segmentation, and provide intelligence across their entire stack. Usually, the data is delivered via network which is typically cloud-based. "To this end, organizations may 'buy, sell, or trade' soft-copy data as a DaaS service". Typically, DaaS business is based on subscriptions and customers pay for a package of services or definite services. At the same time, investors must make sure that the revenue generated exceeds initial and operational costs of running the business. The pricing model is usually classified into 2 categories: quantity-based pricing model and pay-per-call (PPCall) data type base model Since the customers only get access to the data stream delivered by DaaS vendors when they need it, this eliminates the need to store data within a company and the corresponding costs, which makes the business more flexible. One of this business model parts is regulation in the field of user data turnover. There are a number of regulations that require vendors to comply with specific customer service requirements. In particular, the website that collects the data must notify visitors about what kind of data is being collected and obtain consent to these actions. Sites should also promptly notify visitors if any of their personal data stored on the site has been breached. In addition, an assessment of the security of website data and ensuring their protection is required. The General