Abstract: A system configured to: receive input data at a knowledge-harvesting engine, generate, using the knowledge-harvesting engine, a structured knowledge object, wherein generating the structured knowledge object includes: extracting a plurality of features from the input data using an extraction pipeline, assigning contextual tags to each feature of the plurality of features using a tagging pipeline, wherein the tagging pipeline is configured to associate each feature with one or more knowledge elements as a function of one or more of semantic, temporal, and relational characteristics of the feature, and encoding paired contextual tags and features of each feature of the plurality of features into the structured knowledge object as fields of a data schema, and store the structured knowledge object in a secure vault data structure implemented in a networked computing environment.

Abstract: An apparatus for classifying an entity to an executable data structure, the apparatus including a processor and a memory communicatively connected to the processor, the memory containing instructions configuring the processor to receive entity input from an entity using a graphical user interface, wherein receiving the entity data includes receiving a low-level entity data at a first time and receiving a high-level entity data at a subsequent time determine a degree of interaction pertaining to the entity by comparing the low-level entity data to the high-level entity data, identify at least a protocol metric as a function of the degree of interaction, determine a protocol object as a function of the high-level entity data and the at least a protocol metric, establish an executable data structure for the entity as a function of the protocol object and display the executable data structure using the graphical user interface.

Abstract: An apparatus for classifying an entity to an executable data structure, the apparatus including a processor and a memory communicatively connected to the processor, the memory containing instructions configuring the processor to receive entity input from an entity using a graphical user interface, wherein receiving the entity data includes receiving a low-level entity data at a first time and receiving a high-level entity data at a subsequent time determine a degree of interaction pertaining to the entity by comparing the low-level entity data to the high-level entity data, identify at least a protocol metric as a function of the degree of interaction, determine a protocol object as a function of the high-level entity data and the at least a protocol metric, establish an executable data structure for the entity as a function of the protocol object and display the executable data structure using the graphical user interface.