Novel tools and techniques are provided for implementing network application programming interface (“API”), and, more particularly, API to provide network metrics and network resource control to users. In some embodiments, a computing system might receive customer network telemetry data from a first network via a gateway API, might receive service provider network telemetry data from a second network(s) via a network API, might compile the customer network telemetry data and the service provider network telemetry data, might receive a request from a user to access information regarding network services associated with the user, might filter the compiled customer network telemetry data and the compiled service provider network telemetry data to isolate first telemetry data and second telemetry data, respectively, might provide the user with access to at least one of the first telemetry data or the second telemetry data, and might provide the user with options to control network resources.

Novel tools and techniques are provided for implementing network application programming interface (“API”), and, more particularly, API to provide network metrics and network resource control to users. In some embodiments, a computing system might receive customer network telemetry data from a first network via a gateway API, might receive service provider network telemetry data from a second network(s) via a network API, might compile the customer network telemetry data and the service provider network telemetry data, might receive a request from a user to access information regarding network services associated with the user, might filter the compiled customer network telemetry data and the compiled service provider network telemetry data to isolate first telemetry data and second telemetry data, respectively, might provide the user with access to at least one of the first telemetry data or the second telemetry data, and might provide the user with options to control network resources.

A method for predicting fraudulent call activity is provided. The method includes receiving one or more datasets indicating call activity corresponding to a phone number, and analyzing the one or more datasets to identify unusual call activity. The method further includes generating a fraud prediction, based at least in part on the identified unusual call activity, that the phone number will be used for fraud.

A method for identifying a fraudulent phone number is provided. The method includes receiving a user report dataset indicating fraudulent activity corresponding to a phone number, and responsive to receiving the user report dataset, identifying a record in a database corresponding to the phone number. The method further includes tagging the record to identify the phone number as being associated with fraudulent activity.

Novel tools and techniques are provided for implementing network application programming interface (API), and, more particularly, implementing dual network telemetry API framework. In some embodiments, a computing system might receive first network telemetry data from a first network via a gateway API, might receive second network telemetry data from one or more second networks via a network API, and might analyze the first network telemetry data and the second network telemetry data to determine first instructions to send to the first network and to determine second instructions to send to the one or more second networks. The computing system might send the first instructions to first nodes in the first network to cause the first nodes to perform at least one first action and send the second instructions to each second network to cause the second nodes in each second networks to perform at least one second action.

Novel tools and techniques are provided for implementing network application programming interface (API), and, more particularly, implementing dual network telemetry API framework. In some embodiments, a computing system might receive first network telemetry data from a first network via a gateway API, might receive second network telemetry data from one or more second networks via a network API, and might analyze the first network telemetry data and the second network telemetry data to determine first instructions to send to the first network and to determine second instructions to send to the one or more second networks. The computing system might send the first instructions to first nodes in the first network to cause the first nodes to perform at least one first action and send the second instructions to each second network to cause the second nodes in each second networks to perform at least one second action.

Novel tools and techniques are provided for implementing network application programming interface (API), and, more particularly, API to provide network metrics and network resource control to users. In some embodiments, a computing system might receive customer network telemetry data from a first network via a gateway API, might receive service provider network telemetry data from a second network(s) via a network API, might compile the customer network telemetry data and the service provider network telemetry data, might receive a request from a user to access information regarding network services associated with the user, might filter the compiled customer network telemetry data and the compiled service provider network telemetry data to isolate first telemetry data and second telemetry data, respectively, might provide the user with access to at least one of the first telemetry data or the second telemetry data, and might provide the user with options to control network resources.

Novel tools and techniques are provided for implementing network application programming interface (API), and, more particularly, implementing dual network telemetry API framework. In some embodiments, a computing system might receive first network telemetry data from a first network via a gateway API, might receive second network telemetry data from one or more second networks via a network API, and might analyze the first network telemetry data and the second network telemetry data to determine first instructions to send to the first network and to determine second instructions to send to the one or more second networks. The computing system might send the first instructions to first nodes in the first network to cause the first nodes to perform at least one first action and send the second instructions to each second network to cause the second nodes in each second networks to perform at least one second action.

A method for reducing costs associated with fraudulent call activity is provided. The method includes receiving data associated with usage of a telecommunications number. The method further includes analyzing the data to determine that the usage of the telecommunications number is indicative of a fraudulent call activity. The method further includes assigning a call route to the telecommunications number adapted to reduce a cost associated with the fraudulent call activity.

Novel tools and techniques are provided for implementing network application programming interface (API), and, more particularly, implementing dual network telemetry API framework. In some embodiments, a computing system might receive first network telemetry data from a first network via a gateway API, might receive second network telemetry data from one or more second networks via a network API, and might analyze the first network telemetry data and the second network telemetry data to determine first instructions to send to the first network and to determine second instructions to send to the one or more second networks. The computing system might send the first instructions to first nodes in the first network to cause the first nodes to perform at least one first action and send the second instructions to each second network to cause the second nodes in each second networks to perform at least one second action.