GraphQL Request Validation for Parsability, Executability, and Hierarchy

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Solution Overview

Problem

Conventional methods for validating GraphQL requests fail to account for syntactic accuracy, functional integrity, and efficiency, leading to resource waste, network traffic, and latency issues due to invalid requests.

Innovation Solution

A validation framework that assesses GraphQL requests through parsability, executability, and hierarchical correctness, using a parser, verifier, and evaluator to assign an accuracy metric, ensuring requests adhere to syntactical grammar rules, operate correctly, and maintain efficient data retrieval.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If conventional validation methods are used for GraphQL requests, then the validation process is simple, but resource consumption increases and processing accuracy decreases due to lack of comprehensive assessment

Engineering Contradiction:

Improvevalidation accuracyVSAvoidresource consumption

Core Design Contradiction:

Measurement precisionVSUse of energy by moving object

Solution Approach 1:

The validation process is segmented into three distinct assessment dimensions: parsability assessment (syntactic correctness), executability assessment (functional validity), and hierarchical correctness assessment (structural accuracy). Each dimension is evaluated independently by specialized components (parser, verifier, evaluator) and combined to form a comprehensive accuracy metric, enabling precise validation without excessive resource consumption

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system performs preliminary assessments of parsability, executability, and hierarchical correctness before full request execution. By evaluating these three dimensions in advance and computing an accuracy metric, the system identifies and filters invalid requests early, preventing waste of computational resources on requests that would fail during execution

Inventive Principle:

Principle #10Preliminary action

2Reliability

If comprehensive validation is performed on all GraphQL requests, then processing accuracy improves, but processing time increases due to multiple assessment steps

Engineering Contradiction:

Improverequest validityVSAvoidvalidation latency

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The validation process is divided into three parallel assessment streams (parsability, executability, hierarchical correctness) that can be processed concurrently. Each assessment focuses on a specific aspect of request validity, allowing the system to maintain comprehensive validation while reducing overall processing time through parallel execution of validation tasks

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system performs the minimum necessary validation actions to ensure request validity. By focusing assessments on the three critical dimensions (parsability, executability, hierarchical correctness) and stopping when sufficient validation evidence is obtained, the system achieves reliable validation without unnecessary processing delays

Inventive Principle:

Principle #16Partial or excessive action

3Productivity

If invalid GraphQL requests are executed, then network bandwidth is utilized, but data retrieval efficiency decreases due to processing errors

Engineering Contradiction:

Improvedata retrieval efficiencyVSAvoidprocessing errors

Core Design Contradiction:

ProductivityVSObject-generated harmful factors

Solution Approach 1:

The system performs preliminary validation assessments computing an accuracy metric that incorporates parsability, executability, and hierarchical correctness. Requests that fail to meet validity thresholds are filtered out before execution, ensuring that only valid requests consume network bandwidth and processing resources, thereby eliminating processing errors and improving data retrieval efficiency

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system converts the potential harm of executing invalid requests into a benefit by using the validation process to identify and refine requests. The accuracy metric computation transforms what would be wasted processing into useful validation information, allowing the system to improve request quality and prevent errors before they occur

Inventive Principle:

Principle #22Blessing in disguise (Convert harm into benefit)

Data Source

PatentUS12393574B1Hierarchical and functional assessment framework for GraphQL requests

Publication Date: 2025.08.19 INTUIT INC

AI summary

Certain aspects of the disclosure provide systems and methods for validating application programing interface requests, including GraphQL requests. In certain aspects, a method of validation includes assessing a parsability of the request, verifying the executability of the request, and evaluating a hierarchical correctness of the requests. The method may further include assigning an accuracy metric to the request based on the parsability, the executability, and hierarchical correctness of the request. If the accuracy metric satisfies a threshold, the request may be executed to generate a response.