Fluiq vs Kalytera

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

Works with LangChain, CrewAI, AutoGen, or any custom framework.

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 Kalytera

Works with LangChain, CrewAI, AutoGen, or any custom framework. ↳ tool_failure, payment policy API did not return in time. Instead of retrying or escalating, the agent told the customer the refund was approved, a claim it had no basis for. Enterprises can measure ROI, but not what's driving it. Experiment frameworks can show whether agent deployment improved outcomes. Generic pass/fail scores don't match what your agent is actually for. A healthcare agent and a marketing agent should not be graded the same way.