Free GraphQL Query Cost Complexity & Depth Analyzer

Free GraphQL Query Cost Complexity & Depth Analyzer
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Use this free browser-based GraphQL analyzer to calculate query depth and cost complexity. Optimize your API performance and prevent malicious denial-of-service.

Built by@Akhenaten

What This App Does

Use this free browser-based GraphQL analyzer to calculate query depth and cost complexity. Optimize your API performance and prevent malicious denial-of-service. — generated by gemini-3.0-flash and published by @Akhenaten on Slopstore. Categorized under Utility, this app is part of Slopstore's curated collection of AI-generated tools and experiments. Run it free in your browser. No installation needed.

AI Generation Prompt

GraphQL Query Complexity & Depth Analyzer Specification

1. Core Objective

Provide a professional, high-performance web tool that allows GraphQL developers to paste raw query strings and immediately receive metrics on query depth and estimated cost complexity. The tool acts as a sandbox for testing query constraints before deploying them to production.

2. Technical Architecture & Constraints

  • Single File: All HTML, CSS, and JS must reside in one file. Use a CDN-hosted version of the graphql (js) library for robust AST parsing.
  • Storage: Absolutely NO use of localStorage, sessionStorage, or cookies. The state must be transient and memory-based.
  • Performance: Asynchronous parsing to ensure the UI remains responsive even with large, complex queries.
  • Compatibility: Must function inside a sandboxed iframe. No alert(), confirm(), or prompt().

3. User Interface & Layout

  • Header: Minimalist, clean header containing the app title and a brief instructional subtitle.
  • Main Editor Section (Split-Pane):
    • Left Panel: A high-quality code editor text area (using a lightweight library like CodeMirror for syntax highlighting) for inputting the GraphQL query and (optionally) the schema.
    • Right Panel (Metrics & Configuration):
      • Config: A set of numeric inputs to define base field weights (e.g., Default Weight, List Weight).
      • Results: A clean dashboard displaying "Total Depth", "Calculated Cost", and "Status" (e.g., Pass/Fail based on a user-defined threshold).
  • Visuals: Use a crisp, professional Light Mode color palette. Focus on shades of slate (text), white (background), and a primary accent color (e.g., a professional Indigo or Cerulean) for primary actions.

4. Features

  • AST Parsing: Automatically compute max depth and sum of weights based on field selection.
  • Configurable Weights: Users can set a multiplier for lists versus single fields.
  • Threshold Validation: Allow users to set a 'Max Allowed Depth' and 'Max Allowed Cost'. The UI should highlight in red if the query exceeds these limits, or green if it passes.
  • Syntax Verification: Display clear error messages if the GraphQL syntax is invalid, rather than crashing.

5. Aesthetic & Interactions

  • Typography: Use a clean, system-font stack or a high-quality sans-serif (e.g., Inter or Geist via CDN).
  • Animations: Use CSS transitions (0.2s ease-in-out) for score updates and threshold violations to create a smooth, 'app-like' feel.
  • Shadows: Utilize subtle, soft box-shadows to define content sections against a light gray (#F9FAFB) background.

6. Development Directives

  • Use target="_blank" rel="noopener noreferrer" for any necessary links.
  • Ensure all UI inputs are accessible and mobile-responsive, stacking the editor and metrics panel on smaller viewports.
  • Avoid any brand-specific styling or intrusive headers/footers.

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AI Model

Files being used

index.html
11.9 KB
#GraphQL query complexity calculator#GraphQL depth limit analyzer#GraphQL cost analysis tool#calculate GraphQL query depth#GraphQL API performance optimization#free GraphQL security tool#GraphQL AST parser

Frequently Asked Questions

Everything you need to know about using this application.

What is GraphQL query complexity and why does it matter?

GraphQL query complexity is a measurement of how much processing power a specific query consumes on your server. Unlike REST APIs, GraphQL allows clients to request nested data, which can lead to complex or deeply nested queries that strain your database or server resources. By assigning cost values to individual fields, developers can calculate a total complexity score. This helps in setting rate limits and preventing users from executing expensive queries that could potentially crash the system or degrade performance for other users.

What is the difference between query depth and query cost?

Query depth refers to the nesting level of the requested fields within a GraphQL query. A high depth, such as requesting a user, who has posts, who have comments, who have authors, creates a deep tree structure. This is often limited to prevent recursive resource exhaustion. Query cost, on the other hand, is an aggregate score based on the specific 'weights' assigned to fields. For example, a simple scalar field might have a weight of 1, while a heavy database operation like fetching a list of users might have a weight of 10. Calculating both metrics provides a comprehensive view of query impact.

How does this tool perform analysis without a backend?

This application utilizes client-side Abstract Syntax Tree (AST) parsing to interpret your GraphQL query. When you input your code, the tool builds a structured tree representation of the query to identify nesting levels and field references directly in your browser. Since all processing happens locally within your browser, no data is sent to an external server. This ensures your GraphQL schemas, queries, and variable definitions remain private and secure during the analysis process.

Does this tool store my query data?

No, this application does not store any of your data. It is built as a single-file, client-side utility that operates exclusively within your browser's current session memory. It does not use cookies, local storage, indexedDB, or server-side databases. Once you close the browser tab or refresh the page, all your input data and calculated results are permanently cleared. This makes the tool safe for auditing sensitive GraphQL queries that you do not wish to be stored or logged elsewhere.

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