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TokenPath vs Rystic

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 Rystic
DetailTokenPath logo TokenPathRystic logo Rystic
What it doesCitations, built for AI agents Realistic API simulators for training and testing
StageNot given Not given
FoundedNot given Not given
Based inNot given US
Pricing modelFreemium Freemium
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. Free: $0 with GitHub, Linear and Slack simulators, 10 free hours per month. Pro: $89.99 per seat per month with full catalog, $100 usage credit per seat, $0.012 per simulator-minute after credit. Enterprise: custom pricing.
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
  • Slack simulator
  • GitHub simulator
  • Stripe simulator
  • Kalshi simulator
  • Verified against live APIs
  • Latency and fault injection
  • Settable state
  • Local and CI execution
  • Verified UIs
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
  • Validated against real APIs daily with published accuracy percentages
  • Stateful simulators that maintain state across calls
  • Local execution with no rate limits
  • Supports 20+ API integrations including Stripe, GitHub and Slack
Community votes00
DR (Domain Rating by Ahrefs)2 no change since last check2 no change since last check
Trust Flow (Majestic)313
Citation Flow (Majestic)1630
Referring domains (Majestic)3641

5 details filled in for both companies.

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