Abstract: Some embodiments provide a non-transitory machine-readable medium that stores a program. In response to receiving a request from a client device for an overall score for an entity, the program retrieves a first set of data associated with the entity and a second set of data associated with the entity. The program further uses a first computational model to generate a first score based on the first set of the data. The program also uses a second computational model to generate a second score based on the second set of data. The program further determines the overall score for the entity based on the first score and the second score.

Abstract: Some embodiments provide a non-transitory machine-readable medium that stores a program. In response to receiving a request from a client device for an overall score for an entity, the program retrieves a first set of data associated with the entity and a second set of data associated with the entity. The program further uses a first computational model to generate a first score based on the first set of the data. The program also uses a second computational model to generate a second score based on the second set of data. The program further determines the overall score for the entity based on the first score and the second score.

Abstract: Some embodiments provide a non-transitory machine-readable medium that stores a program. The program provides a client device a tool for configuring computational models. The program further receives, from the client device and through the tool, a selection of a set of external data sources. The program also receives, from the client device and through the tool, a plurality of weight values for a plurality of categories. The program further receives, from the client device and through the tool, a plurality of threshold values for the plurality of categories. The program also generates a plurality of computational models based on the set of external data sources, the plurality of weight values for the plurality of categories, and the plurality of threshold values for the plurality of categories.

Abstract: Some embodiments provide a non-transitory machine-readable medium that stores a program. In response to receiving a request from a client device for an overall score for an entity, the program retrieves a first set of data associated with the entity and a second set of data associated with the entity. The program further uses a first computational model to generate a first score based on the first set of the data. The program also uses a second computational model to generate a second score based on the second set of data. The program further determines the overall score for the entity based on the first score and the second score.

Abstract: Some embodiments provide a non-transitory machine-readable medium that stores a program. The program provides a client device a tool for configuring computational models. The program further receives, from the client device and through the tool, a selection of a set of external data sources. The program also receives, from the client device and through the tool, a plurality of weight values for a plurality of categories. The program further receives, from the client device and through the tool, a plurality of threshold values for the plurality of categories. The program also generates a plurality of computational models based on the set of external data sources, the plurality of weight values for the plurality of categories, and the plurality of threshold values for the plurality of categories.