Custom Evaluations
Define pass/fail rules, scoring rubrics, and structured checks for agent outputs. Run evaluations at scale to validate quality gates and track performance over time.
Evaluate AI agent behavior with FastRouter’s unified LLMOps platform. Compare outputs across models, apply custom quality criteria, monitor live agent runs, and catch regressions before they reach users. Built for production teams that need dependable agent performance, controlled costs, and clear evidence behind every model and routing decision.
Evaluate, monitor, and improve agent quality across models, prompts, and production workflows.
Define pass/fail rules, scoring rubrics, and structured checks for agent outputs. Run evaluations at scale to validate quality gates and track performance over time.
Compare the same agent task across models in a side-by-side playground. Assess output quality, latency, and cost before selecting a production configuration.
Capture request details, model choices, latency, token usage, costs, and outcomes across agent runs for faster debugging, analysis, and operational accountability.
A/B test models, prompts, and routing settings for agent workflows. Measure quality, cost, and latency so rollout decisions are supported by evidence.
Validate agent inputs and outputs centrally across providers. Detect unsafe, non-compliant, malformed, or policy-violating responses before they reach downstream users or systems.
Monitor latency, uptime, errors, and output quality across connected models in real time. Receive alerts when thresholds are breached and investigate detailed logs.
Claw-Eval for Agents gives product and ML teams a practical way to test agent behavior before and after deployment. Use FastRouter to score outputs against custom criteria, compare models and configurations, and continuously watch for quality drift. Unified logs connect evaluation results to real request context, while guardrails, routing, and cost controls help teams improve reliability without sacrificing speed or budget discipline.
See how structured evaluation supports more reliable, measurable AI agent operations.
"Excellent platform to test the latest LLMs for our use case. With new LLMs coming out every few weeks and benchmarks not giving the full picture, I rely on Fastrouter.ai to optimize my cost vs quality balance."
"Amazing product. Have had a great experience using FastRouter. Reliable access to models across providers helps removes the worry about outages or vendor lock-in."
"FastRouter is a good value add, specifically when you are not sure which LLM is better for your use cases. You can play around with models, can compare against them, and then use normal OpenAI compatible APIs call to leverage the full potential of it."
"Excellent platform to test the latest LLMs for our use case. With new LLMs coming out every few weeks and benchmarks not giving the full picture, I rely on Fastrouter.ai to optimize my cost vs quality balance."
"Amazing product. Have had a great experience using FastRouter. Reliable access to models across providers helps removes the worry about outages or vendor lock-in."
"FastRouter is a good value add, specifically when you are not sure which LLM is better for your use cases. You can play around with models, can compare against them, and then use normal OpenAI compatible APIs call to leverage the full potential of it."
"Excellent platform to test the latest LLMs for our use case. With new LLMs coming out every few weeks and benchmarks not giving the full picture, I rely on Fastrouter.ai to optimize my cost vs quality balance."
"Amazing product. Have had a great experience using FastRouter. Reliable access to models across providers helps removes the worry about outages or vendor lock-in."
"FastRouter is a good value add, specifically when you are not sure which LLM is better for your use cases. You can play around with models, can compare against them, and then use normal OpenAI compatible APIs call to leverage the full potential of it."
One operational control plane for evaluating and running AI agents at scale.
Evaluate, route, govern, and observe multi-provider agent workloads through one OpenAI-compatible platform.
Run ongoing evaluations to identify output drift as models, prompts, and production traffic change.
Automatic fallback and multi-provider routing help keep multi-step agent loops operating through provider failures.
Apply spend limits, access controls, logging, and guardrails consistently across agent applications and teams.
A unified platform for dependable AI operations.
FastRouter is an LLMOps platform designed to give teams one operational foundation for production AI. Its OpenAI-compatible control plane brings multi-provider model routing, evaluations, observability, experiment tracking, guardrails, and cost governance into a single workflow. For teams building agents, this means they can compare models, measure behavior against clear criteria, investigate individual runs, and make changes with evidence rather than guesswork. FastRouter also helps reduce dependence on any one provider through centralized routing and automatic fallback. The platform supports text, image, video, speech, and embedding workloads, enabling teams to standardize how they evaluate and operate increasingly complex AI systems as their products scale.
Claw-Eval for Agents is a structured approach to measuring how an AI agent performs across real tasks, prompts, models, and tool-use scenarios. With FastRouter, teams can define evaluation criteria, score outputs, compare configurations, and track results over time. The goal is to replace subjective spot checks with repeatable evidence about agent quality, consistency, latency, and cost.
Talk with our team about testing your production AI workflows.
Unified integration for multi-model AI workloads
Intelligent selection and automatic model fallback
Unified logs, metrics, and evaluation visibility
Tell us about your agent workflow, evaluation goals, and operational requirements. We’ll help you identify the FastRouter capabilities that can support testing, monitoring, and dependable production deployment.
To help us assist you faster, please include the reason for your message so the relevant team can reach out as soon as possible.
To help us assist you faster, please include the reason for your message so the relevant team can reach out as soon as possible.