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Cobalynx vs TestOptim AI

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

Cobalynx compared with TestOptim AI
DetailCobalynx logo CobalynxTestOptim AI logo TestOptim AI
What it doesFree AI detector with published error rates No-code AI QA testing for web apps that explores your app, writes end-to-end tests, and reports bugs with screenshots.
StageNot given Not given
FoundedNot given Not given
Based inIT Not given
Pricing modelFree Free trial
PricingNo payment required. Free tier allows 10 certification requests per day per IP. Solo: $19/month (100 test executions/month, 2 projects, 30 pages explored/month), Startup: $49/month (260 test executions/month, 5 projects, 80 pages explored/month), Growth: $149/month (800 test executions/month, 15 projects, 250 pages explored/month). Enterprise: Custom pricing. 7-day free trial o
Key features
  • Calibrated probability scores with published error rates
  • Inconclusive verdicts for borderline cases
  • Minimum 150 word requirement
  • Content Credentials (C2PA) file checking
  • Document metadata analysis
  • Free human-text certification with downloadable PDF badge
  • No signup or account required
  • Private processing with no data storage
  • No SDK to install or code changes required
  • Autonomous test generation covering happy paths and edge cases
  • Plain-English tests with self-healing selectors
  • Scheduled, CI and GitHub webhook triggered runs
  • Works behind login with support for one-time codes
  • Supports any web framework via URL
  • 99.8% accurate self-healing selectors
What makes it different
  • Published error rates with raw counts and confidence intervals
  • Designed to minimize false accusations rather than maximize detections
  • Measures ESL (non-native English) writer accuracy separately
  • Transparent verdicts: reports inconclusive when unsure instead of guessing
  • No tests to write or code to maintain versus managed services and frameworks like Cypress that require manual test authoring
  • Self-healing selectors that target elements by context instead of CSS classes that break on markup changes
  • Coverage grows continuously from scheduled and CI runs instead of only at release time
  • Comprehensive AI exploration discovers edge cases and negative flows that manual QA misses
  • Self-serve autonomous testing with transparent pricing versus managed QA contracts
Community votes00
DR (Domain Rating by Ahrefs)Not checked yet no change since last check5 no change since last check
Trust Flow (Majestic)25
Citation Flow (Majestic)1319
Referring domains (Majestic)130

5 details filled in for both companies.

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