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OpenQodex vs DetectHiddenFees

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

OpenQodex compared with DetectHiddenFees
Detail OpenQodexDetectHiddenFees logo DetectHiddenFees
What it doesOpen source code review inside your coding agent before you push AI-powered forensic pricing intelligence to find hidden fees in contracts, invoices, and financial documents
StageStartup Startup
Founded2024 2025
Based inUS Not given
Pricing modelOpen source Paid
PricingFree. Open source under Apache 2.0 license. $15 one-time analysis, no subscription required
Key features
  • 22 built-in scanners for secrets, security, dependencies and lint errors
  • Code graph showing callers and importers of changed code
  • Separate reviewer process using Claude Code or Codex
  • Script-based validation of review completeness
  • Works with Claude Code, Cursor, Codex and Cline
  • Terminal, agent and CI integration
  • GitHub Action for pull request reviews
  • Pre-commit and pre-push hooks
  • Custom scanner configuration from GitHub
  • No telemetry or data collection
  • Hidden fee detection across contracts, invoices, estimates, bills, and financing documents
  • Plain-language risk reports with negotiation leverage points
  • Support for multiple document formats: PDF, image, Word, and text
  • Secure encrypted document processing without AI training use
  • Negotiation support with questions to ask providers
What makes it different
  • No API key, account or server required - runs entirely on your local machine
  • Separate reviewer process with no memory of the coding session that produced the code
  • Open source Apache 2.0 license with full transparency
  • Integrated directly into coding agents without additional configuration
  • Findings only on changed lines, not whole repository
  • Forensic pricing intelligence that goes beyond keyword scanning to understand how pricing systems function structurally
  • One-time $15 analysis with no subscription or recurring charges
  • Documents are not used for AI training, with secure encrypted processing
  • Results delivered in minutes with plain-language explanations
  • Identifies negotiation leverage points and specific questions to ask providers
Community votes00
DR (Domain Rating by Ahrefs)41 no change since last check2 no change since last check
Trust Flow (Majestic)170
Citation Flow (Majestic)2219
Referring domains (Majestic)31613

7 details filled in for both companies.

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