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TokenPath vs BWorlds

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 BWorlds
DetailTokenPath logo TokenPathBWorlds logo BWorlds
What it doesCitations, built for AI agents Engineering that never sleeps, for every app
StageNot given Startup
FoundedNot given 2026
Based inNot given FR
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 plan includes 1,000 credits per month. Starter begins at $25/month (10,000 to 50,000 credits, at $2.50 per 1,000 credits). Pro begins at $180/month (80,000 to 320,000 credits, at $2.25 per 1,000 credits). Enterprise pricing is custom. Annual Pro includes two months free and done-for-you migrati
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
  • Pre-launch security, reliability, data, performance, cost, and code quality audit
  • 24/7 uptime monitoring with downtime alerts
  • Error tracking and session replay with 90 days history
  • AI-powered fix prompts that work with Lovable, Bolt, Replit, and Claude Code
  • Unlimited apps on any plan with shared credit balance
  • Status page and Trust Page for user transparency
  • GitHub integration for code change detection
  • Slack alerts and webhooks on Pro and above
  • Migration done-for-you on annual Pro plan
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
  • Works with every AI builder, not just one—covers Lovable, Bolt, Replit, Base44, Claude Code, and others
  • Monitoring and watching never consume credits—only work is metered
  • Plain-language findings and fix prompts for non-engineers
  • Your code and accounts stay yours—read-only audit and month-to-month plans
  • Open source browser SDK published under MIT License
Community votes00
DR (Domain Rating by Ahrefs)2 no change since last check4 no change since last check
Trust Flow (Majestic)34
Citation Flow (Majestic)1623
Referring domains (Majestic)3612

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