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TokenPath 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.

TokenPath compared with TestOptim AI
DetailTokenPath logo TokenPathTestOptim AI logo TestOptim AI
What it doesCitations, built for AI agents 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 inNot given Not given
Pricing modelFreemium Free trial
PricingFree tier for small requests with no API key required; 10 million free tokens to start; $1 per million tokens for pay-as-you-go, with discounts available at volume or with annual commitments; failed requests are never charged. 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
  • Token-level attribution with confidence scores
  • Works with any AI model without access to weights or internals
  • Processes documents up to 1 million tokens
  • Returns results in under 2 seconds for 20,000-token documents
  • On-premise and air-gapped deployment options
  • PDF support with character-level mapping
  • Supports 23+ languages including Indian languages
  • Chrome browser extension for page and PDF tracing
  • Raw token-by-token heatmaps available via API
  • No data logging or training on request content
  • 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
  • Measures attention directly from the model's computation rather than asking the model to cite itself, providing verifiable attribution
  • Achieves frontier-grade citation quality at 7x lower cost and 5-6x faster than alternatives
  • Never confused by duplicate facts—identifies the exact occurrence the answer used even when values appear multiple times
  • Lands on exact tokens down to character level, not just document chunks
  • Works on any model's output post-generation without modifying inference pipeline
  • 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)2 no change since last check5 no change since last check
Trust Flow (Majestic)35
Citation Flow (Majestic)1619
Referring domains (Majestic)3630

5 details filled in for both companies.

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