Intelligent API Data Grouping and Filtering for Queue Stability

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Solution Overview

Problem

There is a need for a secure and efficient way to reduce latency and computing overhead in processing electronic data transmissions over a network, particularly in large-scale networked computing environments where data overload can cause system hanging, freezing, and latency.

Innovation Solution

A system utilizing an intelligent application programming interface (API) with an AI engine for data grouping and filtering, which includes a data grouping module for categorizing data packets based on metadata, a data finalizer module for sorting into priority categories, and a data organizer module for generating a processing queue that prioritizes data transmission, optionally using a zero-trust encryption mechanism.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If data packets are processed without grouping and filtering, then system simplicity is maintained, but network latency increases and system performance degrades under data overload

Engineering Contradiction:

Improvedata processing efficiencyVSAvoidsystem complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system segments data packets into different categories based on their characteristics and assigns different processing priorities. The data grouping module divides incoming data into distinct groups, and the data finalizer module further categorizes them into priority levels (high, medium, low), enabling differentiated processing that improves overall system productivity without requiring complete redesign of the entire system

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system performs preliminary grouping and filtering actions on data packets before they enter the processing queue. By analyzing data characteristics upfront and assigning priorities in advance, the system prepares data for optimized processing, reducing latency and improving throughput without adding complexity during the actual processing operation

Inventive Principle:

Principle #10Preliminary action

2Reliability

If all data packets are transmitted without prioritization, then data completeness is maintained, but system reliability decreases due to overload and potential hanging

Engineering Contradiction:

Improvesystem stabilityVSAvoiddata transmission time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system applies different quality levels of processing to different data packets based on their priority categories. High-priority data receives expedited processing and transmission, while lower-priority data is processed more slowly. This local differentiation ensures critical data is transmitted reliably and quickly, maintaining system stability without sacrificing all data transmission speed uniformly

Inventive Principle:

Principle #3Local quality

Solution Approach 2:

The intelligent API acts as an intermediary layer between data sources and the processing queue. It mediates by grouping, filtering, and prioritizing data packets before they enter the queue, preventing overload from reaching the processing system and thereby maintaining reliability while managing transmission time through intelligent ordering

Inventive Principle:

Principle #24Intermediary (Mediator)

3Measurement precision

If data is processed without AI-based grouping, then computing overhead is reduced, but processing precision and data organization quality deteriorate

Engineering Contradiction:

Improvedata classification accuracyVSAvoidcomputing resource consumption

Core Design Contradiction:

Measurement precisionVSUse of energy by moving object

Solution Approach 1:

The system changes the parameters of data packets by adding metadata tags and priority classifications based on AI analysis. The AI engine analyzes data characteristics and transforms raw data into organized categories with assigned priorities, improving classification accuracy while the efficient algorithms keep computing resource consumption manageable

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS20250300942A1System for grouping and filtering of electronic data using an intelligent application programming interface

Publication Date: 2025.09.25 BANK OF AMERICA CORP

AI summary

A system is provided for grouping and filtering of electronic data using an intelligent application programming interface (“API”). In particular, the intelligent API comprises an artificial intelligence (“AI”) engine that may comprise various components for grouping incoming data into classifications and performing filtering of such data based on the classifications. Once the data has been processed by the AI engine, the system may organize the data and generate a data queue in which the organized data is ordered for processing through the intelligent API. By using the intelligent API, the system may prevent an overload of data transmissions from overwhelming the messaging queue, which in turn prevents system and/or application hanging, freezing, and/or latency.