Agent Simulation and Evaluation
Simulate and evaluate agent interactions across scenarios and user personas, with support for AI-powered simulations, pre-built and custom evaluators, and CI/CD integrations.
What it does
Simulate and evaluate agent interactions across scenarios and user personas, with support for AI-powered simulations, pre-built and custom evaluators, and CI/CD integrations.
- AI agent simulation and evaluation across scenarios and user personas
- Prompt experimentation, versioning, and deployment
- Agent observability with distributed tracing and real-time monitoring
- Online evaluation on production data
- CI/CD integrated evaluation pipelines
- Category
- AI evaluation and observability
- Users
- AI teams building GenAI applications from chatbots to complex AI agents, Engineering, product, and QA teams
- Public API
- Not offered
- Deployment
- Self-hosted
Not yet disclosed: platforms, languages and support channels.
Pricing
- Free plan$0
Free trial on paid plans
Prices as published by Maxim AI, checked Oct 2026.
Security and compliance
As reported by Maxim AI. Ask for audit reports before you buy.
- SOC 2 Type IIOn enterprise plans
- ISO/IEC 27001On enterprise plans
- HIPAAOn enterprise plans
- Data encryption
- Two-factor authentication for database access
- Regular security audits
- Data minimization practices
- Data breach notification procedures
- Access control policies
Reviews
No reviews yet
Reviews come from people who use Agent Simulation and Evaluation at work. Share how your team uses it to help other buyers decide.
Alternatives
Tradewinds
by Olam Labs
Catan-inspired island trading game where players roll for resources, bargain, and build to 10 points; currently in development.
KitchenBench
by Robocurve
Evaluating robots on ten bimanual kitchen tasks, including pouring, lid removal, folding, part-mating, two-arm handover, and tool-mediated scooping.
LLM evaluation
by Openlayer
Rigorous evaluation for GenAI and LLMs—test every prompt, trace every response, and validate every output.
Self Diagnostics
by Raindrop
Capability for agents to proactively report their own failures via SDK instrumentation.
Evaluates and improves AI on meaningful use cases via production-grade RL environments, accelerating custom evals and post-training data creation.
Loss Analyses
by AfterQuery
Identifies where and why models fail in professional contexts through systematic study, pinpointing the precise failure modes and distributional gaps that inform dataset and env...
Is this your product?
Claim it to keep details accurate and submit evidence for the next ranking review.
Claim Agent Simulation and Evaluation