TokenPath
Grounds every generated token in its source by measuring attention directly from the model, returning attributions with confidence scores.
TokenPath is an API that grounds AI-generated answers in their source documents by measuring attention directly from the model, solving the problem of unverifiable citations. It sells to developers and data teams at companies building AI applications, from startups to enterprises. It is delivered as a one-call API that works with any model, requiring no changes to the existing pipeline, and is positioned as a measurement-based alternative to prompting models to cite or using retrieval-augmented generation.
Key features
- Token-level attribution with confidence scores
- Works with any model (OpenAI, Anthropic, etc.)
- One API call after the answer
- No prompting or second answer generation
- Scales to 128k tokens
- Heatmap endpoint for raw token-by-token map
- Rate limits, usage metering, key management included
- X0.2/day
GTM channels
- Blog
- API
- Docs
ICP
- Software developers
- Data analytics teams
- Engineering teams