TokenPath vs VibeDrift

One API to ground every generated token in its source, for output from any model. TokenPath measures attention directly, not the LLM's self-report, to return...

Your AI agent gets worse as your project grows. VibeDrift catches the drift, fixes it, and gives your agent the context to stop making it.

About TokenPath

One API to ground every generated token in its source, for output from any model. TokenPath measures attention directly, not the LLM's self-report, to return machine-readable, token-level citations your product can act on. You get back a list of attributions: each attribution is an answer span, the corresponding document span, and how confident the match is, enough to highlight it, cite it, or log it in a few lines. For the advanced raw token-by-token map, use /v1/attributions/heatmap .

About VibeDrift

Your AI agent gets worse as your project grows. VibeDrift catches the drift, fixes it, and gives your agent the context to stop making it. See exactly how it works, free to use and fully public. Mid-task, Claude Code and Cursor ask your codebase what it already does, and get an evidence-backed answer in under a second. With and without VibeDrift, graded by an independent pass, it only changes things when the model would've gotten it wrong, and we show where it did nothing.