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TokenPath vs Dokima

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 Dokima
DetailTokenPath logo TokenPath Dokima
What it doesCitations, built for AI agents AI security reviewer for engineering teams
StageNot given Not given
FoundedNot given Not given
Based inNot given GB
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 for up to 2 active contributors or open source projects. Starter $95/month for up to 5 contributors, Team $195/month for up to 15 contributors, Growth $395/month for up to 40 contributors. Annual subscriptions billed upfront at ten times the monthly price (2 months free).
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
  • Codebase context mapping across repositories and components
  • Architecture review and security assumptions analysis
  • Focused vulnerability hunting with specialised security lenses
  • Finding validation and deduplication
  • HTML reports with source locations and suggested fixes
  • Review state dashboard with findings filtered by severity
  • CLI and terminal dashboard interface
  • Support for Claude, Codex and OpenCode AI models
  • Unlimited repositories and Dokima runs per plan
  • Local data processing without uploading findings
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
  • AI-powered security review that learns how your software works and keeps reviewing as code evolves
  • Findings challenged before presentation to separate plausible issues from weak ones
  • Choose your own AI models to suit your budget and privacy preferences
  • Full product trial for 21 days with no payment card required
  • Free forever for small teams up to 2 contributors and open source projects
Community votes00
DR (Domain Rating by Ahrefs)2 no change since last checkNot checked yet no change since last check
Trust Flow (Majestic)30
Citation Flow (Majestic)160
Referring domains (Majestic)361

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