18045602. Aggregatable Application Programming Interface simplified abstract (GOOGLE LLC)
Contents
- 1 Aggregatable Application Programming Interface
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 Aggregatable Application Programming Interface - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 How does this technology ensure the security and privacy of client data during the aggregation process?
- 1.11 What are the scalability limitations of this technology when aggregating large volumes of client data?
- 1.12 Original Abstract Submitted
Aggregatable Application Programming Interface
Organization Name
Inventor(s)
Naitian Liu of Sunnyvale CA (US)
Aggregatable Application Programming Interface - A simplified explanation of the abstract
This abstract first appeared for US patent application 18045602 titled 'Aggregatable Application Programming Interface
Simplified Explanation
The abstract describes a method for an aggregatable application programming interface (API) that allows for the aggregation of client data from a client of a third-party service. The method involves receiving data from the client, storing it, and aggregating it before transmitting it back to the third-party service.
- Receiving aggregation request from a third-party service
- Receiving first portion of client data from a client device
- Storing first portion of client data
- Receiving second portion of client data
- Determining second portion is final
- Aggregating first and second portions of client data
- Transmitting aggregated client data to third-party service
Potential Applications
The technology described in this patent application could be applied in various industries where data aggregation from multiple sources is required, such as finance, healthcare, and marketing.
Problems Solved
This technology solves the problem of efficiently aggregating client data from different sources and devices, ensuring that the data is complete and accurate before being transmitted to a third-party service.
Benefits
The benefits of this technology include improved data aggregation processes, increased data accuracy, and enhanced efficiency in transmitting aggregated data to third-party services.
Potential Commercial Applications
One potential commercial application of this technology could be in the development of data aggregation platforms for businesses that rely on collecting and analyzing data from multiple sources.
Possible Prior Art
One possible prior art for this technology could be existing data aggregation systems or APIs that perform similar functions but may not have the same level of efficiency or accuracy as the method described in this patent application.
Unanswered Questions
How does this technology ensure the security and privacy of client data during the aggregation process?
The patent abstract does not provide details on the security measures implemented to protect client data during the aggregation process. It would be important to understand how sensitive information is safeguarded to prevent unauthorized access or data breaches.
What are the scalability limitations of this technology when aggregating large volumes of client data?
The abstract does not mention the scalability of the technology when dealing with a high volume of client data. It would be essential to know if there are any limitations or challenges in handling large datasets efficiently.
Original Abstract Submitted
A method for an aggregatable application programming interface (API) includes receiving, from a third party service, an aggregation request requesting aggregation of client data from a client of the third party service. The method also includes receiving, from an API executed by a client device of the client, a first portion of the client data. The method includes storing the first portion of the client data and receiving, from the API, a second portion of the client data. The method includes determining that the second portion of the client data is a final portion of the client data. In response, the method includes aggregating the first portion of the client data with the second portion of the client data. The method also includes transmitting the aggregated client data to the third party service.
