Onboarding a data source for access via a virtual assistant

A device, comprising:

• one or more memories;
• and
• one or more processors, coupled to the one or more memories, configured to:
• receive an access notification from a data source, the access notification being indicative of a request by the data source to be utilized with a virtual assistant;
• identify a query parameter associated with the data source;
• train a machine learning model based on historical data to determine a reliability score of the data source, the historical data being associated with using one or more other data sources to provide a response to a query associated with the query parameter and the reliability score being indicative of an ability of the data source to respond to the query associated with the query parameter;
• determine, by utilizing the trained machine learning model, a reliability score for the query parameter associated with the data source based on at least one of:
• source data of the data source, and
• other source data associated with the one or more other data sources,
• wherein the reliability score is indicative of an ability of the data source to respond to queries involving the query parameter relative to the one or more other data sources;
• and
• integrate, based on the reliability score satisfying a reliability threshold, the data source for use with the virtual assistant in accordance with the reliability score and the query parameter.

A non-transitory computer-readable medium storing a set of instructions, the set of instructions comprising:

• one or more instructions that, when executed by one or more processors of a device, cause the device to:
• configure, based on a protocol of a data source, a communication interface with the data source;
• analyze source information associated with the data source to determine a query parameter associated with the data source;
• train a machine learning model based on historical data to determine a reliability score of a data source, the historical data being associated with using one or more other data sources to provide a response to a query associated with the query parameter;
• determine, using the trained machine learning model, a reliability score associated with the data source and the query parameter,
• wherein the reliability score is indicative of an ability of the data source to respond to a query associated with the query parameter relative to the one or more other data sources;
• and
• integrate, based on the reliability score satisfying a reliability threshold, the data source with a virtual assistant to cause the virtual assistant to use the communication interface to access the data source for queries involving the query parameter.