Systems and methods of using a transferrable token for gig-economy activity assessment

A computer system for generating a transferable token for a gig-economy worker, the system comprising:

• one or more processors;
• a program memory coupled to the one or more processors and storing executable instructions that, when executed by the one or more processors, cause the computer system to:
• send, by a data collector, a data request message to a gig-economy data source associated with a gig-economy platform;
• obtain, by a data collector application programming interface (API) of the data collector, gig performance data comprising gig metrics indicating aspects of performance of a plurality of gig-related tasks by the gig-economy worker in response to the data request message;
• provide, by the data collector, the gig performance data associated with the gig-economy worker to a token generator;
• apply, by the token generator, a machine learning model to the gig performance data to generate one or more metrics indicative of risk levels associated with performance of gig-related tasks by the gig-economy worker;
• generate, by the token generator, the transferable token comprising a plurality of structured data entries storing indications of the one or more metrics associated with the gig-economy worker;
• store, in a data store, the transferable token associated with the gig-economy worker;
• receive, by a token request API, a token request message identifying the gig-economy worker from a token consumer;
• and
• send, by the token request API, the transferable token associated with the gig-economy worker to the token consumer.

A non-transitory computer-readable storage medium comprising computer-readable instructions for generating a transferable token for a gig-economy worker that, when executed by one or more processors of a computer system, cause the computer system to:

• send, by a data collector, a data request message to a gig-economy data source associated with a gig-economy platform;
• obtain, by a data collector application programming interface (API) of the data collector, gig performance data comprising gig metrics indicating aspects of performance of a plurality of gig-related tasks by the gig-economy worker in response to the data request message;
• provide, by the data collector, the gig performance data associated with the gig-economy worker to a token generator;
• apply, by the token generator, a machine learning model to the gig performance data to generate one or more metrics indicative of risk levels associated with performance of gig-related tasks by the gig-economy worker;
• generate, by the token generator, the transferable token comprising a plurality of structured data entries storing indications of the one or more metrics associated with the gig-economy worker;
• store, in a data store, the transferable token associated with the gig-economy worker;
• receive, by a token request API, a token request message identifying the gig-economy worker from a token consumer;
• and
• send, by the token request API, the transferable token associated with the gig-economy worker to the token consumer.