29. A non-transitory computer-readable medium storing computer-executable analytics instructions that, when executed by one or more processors, causes the one or more processors to perform operations comprising: receiving an application programming interface (API) call for a service, the API call associated with an analytics query; parsing the API call to extract an API call name and one or more API call parameters; identifying a context associated with executing the analytics query based on one or more keywords in the analytics query; obtaining one or more interpreted-data parameters based on the identified context; generating prediction values for the one or more interpreted-data parameters, wherein the prediction values include percentage values assigned to each of the one or more interpreted-data parameters; obtaining one or more analytics rules; performing an analytics operation to generate an analytics result according to the one or more analytics rules based on the generated prediction values for the one or more interpreted-data parameters and the extracted one or more API call parameters; and generating a visual representation of the analytics result.
29. A non-transitory computer-readable medium storing computer-executable analytics instructions that, when executed by one or more processors, causes the one or more processors to perform operations comprising: receiving an application programming interface (API) call for a service, the API call associated with an analytics query; parsing the API call to extract an API call name and one or more API call parameters; identifying a context associated with executing the analytics query based on one or more keywords in the analytics query; obtaining one or more interpreted-data parameters based on the identified context; generating prediction values for the one or more interpreted-data parameters, wherein the prediction values include percentage values assigned to each of the one or more interpreted-data parameters; obtaining one or more analytics rules; performing an analytics operation to generate an analytics result according to the one or more analytics rules based on the generated prediction values for the one or more interpreted-data parameters and the extracted one or more API call parameters; and generating a visual representation of the analytics result. 30. The medium of claim 29 , further storing instructions for: obtaining a user input requesting a new iteration of prediction values for the one or more interpreted-data parameters; and wherein generating prediction values for the one or more interpreted-data parameters may include updating previously generated values for the one or more interpreted-data parameters.