Agentmetry vs Wattfare

Local-first sensor for AI coding agents. Records which agent did what, attests hook coverage, and forwards canonical events to Splunk, Elastic or Google SecOps....

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

About Agentmetry

Local-first sensor for AI coding agents. Records which agent did what, attests hook coverage, and forwards canonical events to Splunk, Elastic or Google SecOps. Apache-2.0. Not a console and not a sandbox. It does not see which coding agent, which developer, or which MCP schema. Agentmetry records that on the laptop, with a hash chain a third party can verify, and forwards it into Splunk, Elastic, or Google SecOps. It is not a console, not a vendor cloud, and not a replacement for EDR or CNAPP.

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.