Systems and methods for improved security and precision in executing analytics using SDKS

摘要

This disclosure generally relates to computer-implemented analytics, and more particularly to systems and methods for improved security and precision in executing analytics using SDKs. In one embodiment, an analytics system is disclosed, comprising: a processor; and a memory device operatively connected to the processor and storing processor-executable instructions for: receiving an application programming interface (API) call for a service; parsing the API call to extract an API call name and one or more API call parameters; generating prediction values for 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.

主权项

1. An analytics system, comprising:
a processor; and a memory device operatively connected to the processor and storing processor-executable instructions for: 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.