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Fume vs TokenPath

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

Fume compared with TokenPath
DetailFume logo FumeTokenPath logo TokenPath
What it doesAI QA team that creates and maintains Playwright end-to-end browser tests from video recordings Citations, built for AI agents
StageNot given Not given
FoundedNot given Not given
Based inNot given Not given
Pricing modelFree trial Freemium
PricingTeam Plan: $500/month (30 day free trial). Enterprise: custom pricing available upon contact. Free 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.
Key features
  • Record videos to generate tests
  • Automatic test case extraction in seconds
  • AI agent fallbacks for broken tests
  • Twice-daily automated test runs
  • Free cloud test runners
  • 100% Playwright code ownership
  • CI/CD pipeline integration
  • Migrate existing tests
  • Self-healing test maintenance
  • Application exploration
  • 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
What makes it different
  • No QA work required - autonomous testing replaces entire QA team operations
  • Tests handle major UX changes agentically
  • Own 100% Playwright code with no vendor lock-in
  • Cover 80% of user flows in under 10 minutes
  • Free cloud infrastructure included
  • 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
Community votes00
DR (Domain Rating by Ahrefs)16 no change since last check2 no change since last check
Trust Flow (Majestic)53
Citation Flow (Majestic)2916
Referring domains (Majestic)13336

5 details filled in for both companies.

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