AgentClash review
AgentClash tests agent behavior with replayable evidence, sandboxing, safety checks, and CI gates.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
AgentClash is an open-source evaluation tool for teams developing and releasing AI agents for coding, research, operations, support, and other workloads. It runs agents against the same tasks, tools, constraints, and time budgets, then scores outcomes while preserving replayable evidence. The product supports hosted and self-hosted use through web and API access, making it suitable for teams that need realistic sandbox execution rather than isolated prompt checks.
Pricing spans a free tier and three paid tiers. Free is available monthly or annually and includes community support, but requires your own LLM API key and E2B sandbox token. Pro costs $49 per month when billed monthly or $39 per month when billed annually, adding a hosted sandbox with included credit, private challenge packs, CI integration through GitHub Actions and webhooks, and email support with a stated response time of less than one business day. Team costs $100 monthly or $80 monthly with annual billing, adding multiple workspaces, workspace-level audit logs, Slack notifications, and priority email support with a stated response time of less than four business hours. Enterprise adds SSO / SAML, organization-wide audit logs, unlimited replay retention, a 99.9% uptime SLA, a dedicated support channel, and custom MSA and billing terms.
Its evaluation depth is the main reason to choose it. Deterministic, mathematical, behavioral, and LLM-judge scoring can be combined with tool-call checks for names, arguments, counts, and ordering. Teams can ingest OpenTelemetry traces, pin datasets and baselines, synchronize regression suites, and compare candidates against baselines in CI. Security stress evaluations cover secret leaks, forbidden outputs, egress, and adversarial prompts. AgentClash fits teams that need traceable, repeatable agent evaluation across providers including OpenAI, Anthropic, Gemini, xAI, Mistral, and OpenRouter. Teams wanting a production-ready, non-beta product or a free tier without external credentials should consider alternatives.
AgentClash pros and cons
- Where it wins
- Head-to-head evaluations with shared tasks, tools, budgets, and starting states
- Isolated microVMs, replayable traces, and detailed tool-call assertions
- CI regression gates plus safety testing for leaks, egress, and adversarial prompts
- Where it doesn't
- Free requires your own LLM API key and E2B sandbox token
- Enterprise pricing uses custom MSA and billing terms
- The official site lists the product as beta
AgentClash fact sheet, pricing and score →
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