TokenPath vs Wattfare

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...

Users connect, set a spending cap, and you call any model through one SDK, charged to them, not you.

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 Wattfare

Users connect, set a spending cap, and you call any model through one SDK, charged to them, not you. OpenAI-compatible Works with the Vercel AI SDK ~5-min integration. One button connects a user's inference budget to your app, metered, capped, and revocable. The problem AI costs are the one line item you can't predict. Every AI app makes the same uncomfortable bet: price high enough to survive your power users, ration usage so nobody hurts you, or quietly lose money on the heavy ones.