AI Agent Evaluation
The missing piece in today's agent architectures.
Rippletide evaluates agent outputs and outcomes, not prompts, at runtime, before the answer reaches the user.
Not the LLM kind of hallucination. The agent kind.
Rippletide's first module is focused on a single recurring problem in every agent stack: hallucinations. But not the LLM kind, the agent kind, the ones compounding in each multi-step process, including false claims about your products or documentation.
False product claims
Your agent invents features, prices, or specs that don't exist in your documentation.
Compounding errors
Each step in a multi-step process amplifies inaccuracies from the previous step.
Invisible failures
Bad answers look perfectly fluent. Without verification, you can't tell truth from fabrication.
Claim-level verification, at runtime.
For each candidate answer your agent prepares, Rippletide runs a three-step verification pipeline, before the response is delivered.
Extract factual claims
For each candidate answer your agent prepares, Rippletide extracts every factual claim: entity, attribute, and relationship.
Search your trusted data
Each claim is checked against an exhaustive hypergraph containing your trusted data, including your RAG index if you want.
Verify or block
Every claim is classified as supported, unsupported, or contradicted. Rippletide sends back the information to block the answer and computes a hallucination rate.
Three approaches. Only one prevents damage.
Outputs, not prompts
We evaluate what the agent actually says, not the instructions it received. Because the gap between intent and execution is where hallucinations live.
Runtime, not post-hoc
Other approaches tell you after the fact that something went wrong. Rippletide performs evaluation during execution, before a bad answer is returned.
Your data, your truth
We import everything you share, product docs, knowledge bases, your RAG index. Verification happens against your ground truth, not a generic model.
Built for your workflow.
Eval Platform
Measure hallucinations, inspect detailed traces, and get production-ready guardrails, all from a single dashboard.
eval.rippletide.com →CLI Tool
Evaluate AI agent endpoints directly from your terminal. Test against predefined questions, validate responses, get instant feedback with real-time progress tracking.
CLI documentation →SDK
Integrate Rippletide evaluation directly into your agent pipeline with our SDK. Framework-agnostic, drop-in integration.
SDK reference →Runtime Agent Evaluation
Stop shipping hallucinations.
Rippletide is the runtime evaluation layer that catches agent hallucinations before they reach your users. Less than 1% hallucination rate. 100% guardrail compliance. Full explainability.
- Less than 1% hallucination rate
- 100% guardrail compliance
- Full explainability
- Comprehensive evaluation traces