Fluiq vs Wattfare

Fluiq blocks prompt attacks, scores agent trajectories, and traces every step of every run. Two lines of Python, one dashboard.

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

About Fluiq

Fluiq blocks prompt attacks, scores agent trajectories, and traces every step of every run. Two lines of Python, one dashboard. It chooses tools, chains steps, reads whatever the retriever returns, and hands work to other agents. It blocks the unsafe ones before they reach the model, and fails your build when quality drops. A full suite of server-side scanners runs on every request. Patterns are maintained server-side and updated without SDK releases. Images and other media are scanned alongside the text.

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.