Granted Patent B1

US 12,406,084 · App. 18/962,991 · Granted Sep 2, 2025

Inventors: Brandon Krull (Santa Ana, CA); Syed M. Amir Husain (Georgetown, TX); Steven Lau (Westport, CT); Thiam Hui Lee (New York, NY); Aldo Marini MacOuzet (Alameda, CA)

Assignee: ALPHA DEAL LLC

G06F21/6227G06F9/547

Abstract

Claims (45)

1. A method of providing access to composite AI-generated data, the method comprising:

receiving from a user system, by a controller of an API server, an API call that specifies a request to perform a data operation on an entity database, the entity database comprising composite AI-generated data, wherein the composite AI-generated data includes entity profiles, and scoring data for the entity profiles, the scoring data generated by an entity analysis system based on attributes metrics, and AI-derived evaluations;

interpreting, by the controller, the API call to identify the data operation and parameters related to the scoring data, wherein the data operation includes at least one of searching, sorting, retrieving, updating, or aggregating the composite AI-generated data based on the parameters specified within the API call;

executing, by the controller, the data operation on the entity database according to the specified parameters, wherein the data operation retrieves or modifies the plurality of entity profiles and the scoring data in accordance with the request; wherein each entity profile comprising a structured collection of entity-specific properties corresponding to a defined entity type, the properties including values extracted from both structured and unstructured data sources and arranged in accordance with a predefined template for the entity type;

and the scoring data comprising one or more scores for respective attributes of an entity, each attribute defined as a grouping of related properties in the entity profile, wherein the scores are generated by an entity analysis system using machine learning techniques to evaluate the attribute in comparison to corresponding attributes in a plurality of other entity profiles;

generating, by the controller, a response to the API call, wherein the response includes at least one of: transformed or filtered representation of the AI-generated data, a structured aggregation of the scoring data with metadata describing its evaluation context, or a summary of results of the data operation performed on the AI-generated data; and

transmitting, by the controller, the response to the user system.

2. The method of claim 1 , wherein the API server implements a RESTful communication protocol for encapsulating API calls which allows the user system to access the composite AI-generated data through stateless HTTP requests.

3. The method of claim 1 , wherein the API server supports multiple communication protocols including SOAP and XML-RPC.

4. The method of claim 1 further comprising implementing, by the controller, secure authentication mechanisms for access to the API server including requiring user systems to provide valid API keys or OAuth tokens with each API call.

5. The method of claim 1 further comprising enforcing, by the controller, role-based authorization for access to the API server including verifying user permissions associated with each API call to restrict access to specific data operations or entity profiles based on a user's assigned role.

6. The method of claim 1 wherein the API server includes a plurality of endpoints enabling third-party applications to retrieve the composite AI-generated data for integration into their own systems.

7. The method of claim 1 further comprising formatting, by the controller, the composite AI-generated data in a standardized data structure compatible with third-party applications; wherein the API server provides data access parameters that allow the third-party applications to selectively query, retrieve, and integrate the composite AI-generated data for specific entities or groups of entities into their own data environments.

8. The method of claim 1 further comprising providing, by the controller, real-time data feeds of updates to the composite AI-generated data by enabling persistent connections to allow user systems to receive immediate notifications and access updated composite AI-generated data as changes occur in the entity database.

9. The method of claim 1 further comprising supporting, by the controller, asynchronous data retrieval methods by allowing the user system to initiate data retrieval requests and receive a callback or notification when the requested data operation is complete.

10. The method of claim 1 further comprising implementing, by the controller, rate limiting mechanism to manage API usage including restricting the number of API calls a particular user system can make within a defined time period.

11. The method of claim 1 further comprising:

utilizing, by the controller, monitoring tools to track at least one of API usage patterns, response times, and or error rates related to usage of the API server by user systems; and

proactively adjusting, by the controller, system capacity to maintain consistent performance under varying usage conditions.

12. The method of claim 1 , wherein the data operation specified in the API call includes a sorting operation; and wherein generating the response includes arranging a listing of a first set of entity profiles from the composite AI-generated data in the response based on a ranking of one or more attributes associated with each entity profile.

13. The method of claim 1 further comprising applying, by the controller, a filtering operation to select only those entity profiles in the composite AI-generated data that meet predefined criteria specified in the API call.

14. The method of claim 1 , wherein the API call specifies a historical time range; and wherein executing the data operation includes retrieving entity profile data from the entity database that reflects changes or trends over the specified historical time range.

15. An apparatus for providing access to composite AI-generated data, the apparatus comprising:

a processor;

one or more computer-readable storage media coupled to the processor; and

program instructions stored on the one or more storage media to cause the processor to perform operations comprising:

receiving from a user system, by a controller of an API server, an API call that specifies a request to perform a data operation on an entity database, the entity database comprising composite AI-generated data, wherein the composite AI-generated data includes entity profiles and scoring data for the entity profiles, the scoring data generated by an entity analysis system based on attributes, metrics, and AI-derived evaluations;

interpreting, by the controller, the API call to identify the data operation and parameters related to the scoring data, wherein the data operation includes at least one of searching, sorting, retrieving, updating, or aggregating the composite AI-generated data based on the parameters specified within the API call;

executing, by the controller, the data operation on the entity database according to the specified parameters, wherein the data operation retrieves or modifies the plurality of entity profiles and the scoring data in accordance with the request; wherein each entity profile comprising a structured collection of entity-specific properties corresponding to a defined entity type, the properties including values extracted from both structured and unstructured data sources and arranged in accordance with a predefined template for the entity type; and the scoring data comprising one or more scores for respective attributes of an entity, each attribute defined as a grouping of related properties in the entity profile, wherein the scores are generated by an entity analysis system using machine learning techniques to evaluate the attribute in comparison to corresponding attributes in a plurality of other entity profiles;

generating, by the controller, a response to the API call, wherein the response includes at least one of: transformed or filtered representation of the AI-generated data, a structured aggregation of the scoring data with metadata describing its evaluation context, or a summary of results of the data operation performed on the AI-generated data; and

transmitting, by the controller, the response to the user system.

16. The apparatus of claim 15 , wherein the API server implements a RESTful communication protocol for encapsulating API calls which allows the user system to access the composite AI-generated data through stateless HTTP requests.

17. The apparatus of claim 15 , wherein the API server supports multiple communication protocols including SOAP and XML-RPC.

18. The apparatus of claim 15 further comprising program instructions stored on the one or more storage media to cause the processor to perform operations comprising:

implementing, by the controller, secure authentication mechanisms for access to the API server including requiring user systems to provide valid API keys or OAuth tokens with each API call.

19. The apparatus of claim 15 further comprising program instructions stored on the one or more storage media to cause the processor to perform operations comprising:

enforcing, by the controller, role-based authorization for access to the API server including verifying user permissions associated with each API call to restrict access to specific data operations or entity profiles based on a user's assigned role.

20. A computer program product for providing access to composite AI-generated data, the computer program product comprising:

a set of one or more computer readable storage media; and

computer program instructions, collectively stored in the set of one or more storage media, that when executed, cause a processor to perform computer operations comprising:

receiving from a user system, by a controller of an API server, an API call that specifies a request to perform a data operation on an entity database, the entity database comprising composite AI-generated data, wherein the composite AI-generated data includes entity profiles and scoring data for the entity profiles, the scoring data generated by an entity analysis system based on attributes, metrics, and AI-derived evaluations;

interpreting, by the controller, the API call to identify the data operation and parameters related to the scoring data, wherein the data operation includes at least one of searching, sorting, retrieving, updating, or aggregating the composite AI-generated data based on the parameters specified within the API call;

executing, by the controller, the data operation on the entity database according to the specified parameters, wherein the data operation retrieves or modifies the plurality of entity profiles and the scoring data in accordance with the request; wherein each entity profile comprising a structured collection of entity-specific properties corresponding to a defined entity type, the properties including values extracted from both structured and unstructured data sources and arranged in accordance with a predefined template for the entity type; and the scoring data comprising one or more scores for respective attributes of an entity, each attribute defined as a grouping of related properties in the entity profile, wherein the scores are generated by an entity analysis system using machine learning techniques to evaluate the attribute in comparison to corresponding attributes in a plurality of other entity profiles;

generating, by the controller, a response to the API call, wherein the response includes at least one of: transformed or filtered representation of the AI-generated data, a structured aggregation of the scoring data with metadata describing its evaluation context, or a summary of results of the data operation performed on the AI-generated data; and

transmitting, by the controller, the response to the user system.

Assignments (1)

References Cited (167)

Cited By (3)

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