Trunchbull vs Wattfare

Provider-neutral AI model benchmarking. Detect regressions before they reach production.

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

About Trunchbull

Provider-neutral AI model benchmarking. Detect regressions before they reach production. Deploy tools from GitHub, run them against managed AI models, and inspect every decision under controlled budgets. Trunchbull validates the contract, builds the repository, and deploys it into an isolated Cloudflare Worker, ready for any benchmark configuration. Give agents a real machine without giving them yours. Run terminal and code-execution evaluations inside controlled, image-backed environments. Define the maximum steps, token usage, and dollar spend before a run begins.

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.