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Reactable vs TokenPath

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

Reactable compared with TokenPath
Detail ReactableTokenPath logo TokenPath
What it doesAI code review and codebase risk assessment for apps built by AI tools Citations, built for AI agents
StageNot given Not given
FoundedNot given Not given
Based inUS Not given
Pricing modelFreemium Freemium
PricingNot given 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
  • Assessment across twelve domains
  • Readiness score and levels
  • GitHub repository integration
  • Security and secrets scanning
  • Architecture and code quality evaluation
  • Open source license analysis
  • Data privacy compliance assessment
  • Reactabot AI assistant for follow-up questions
  • Shareable technical readiness report
  • Effort and remediation guidance
  • 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
  • Assesses AI-generated code across twelve domains including security, architecture, and technical debt
  • Readiness score understandable by non-technical decision makers
  • Read-only GitHub integration that never modifies repositories
  • Grounded findings with evidence and severity classification
  • Works with any AI builder that pushes to GitHub
  • 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)1 +1 (up) since last check2 no change since last check
Trust Flow (Majestic)33
Citation Flow (Majestic)1716
Referring domains (Majestic)536

4 details filled in for both companies.

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