AgentX-Ray
AgentX-Ray is an adversarial gauntlet testing platform designed to stress-test any AI model before deployment. It provides a comprehensive, evolving suite of over 200 tests across categories such as context handling, chaos engineering, multimodal reasoning, behavioral analysis, and truth-seeking. The platform ensures models cannot memorize answers by generating novel adversarial scenarios, and it delivers per-phase scores that pinpoint specific weaknesses. Users can select from a wide range of supported models—including Claude, GPT, Gemini, Grok, Llama, and more—by adding their own API keys directly in the browser. The tool runs tests sequentially and streams live agent output, providing real-time visibility into how models handle challenges like prompt injection, recursive depth, scope creep, and self-preservation. With features like death matches, tournaments, and a global leaderboard, AgentX-Ray facilitates comparative benchmarking across models. It also offers metrics on token usage and cost, helping enterprises and developers optimize for both performance and budget. The platform’s evolving nature means new tests are regularly added to keep pace with advancing AI capabilities.
- Category
- AI Agents
- Pricing
- Paid
Problem solved
AgentX-Ray addresses the critical need for rigorous, adversarial evaluation of AI models to uncover failure modes before they reach end users. It eliminates the risk of benchmark memorization by using novel, non-memorizable tests, providing accurate insights into model robustness, safety, and reliability.
Use cases
- Pre-deployment adversarial stress-testing of LLMs
- Comparative benchmarking of multiple AI models
- Continuous integration testing for AI agent reliability
- Identifying specific vulnerability patterns in AI systems
- Evaluating model safety and ethical alignment
- Cost and token efficiency analysis during adversarial challenges
Audience
- Developers
- ML Engineers
- Data Scientists
- Enterprise
- Researchers
Pros
- Extensive test suite covering 200+ adversarial scenarios
- Supports many leading LLMs via API key integration
- Non-memorizable test generation prevents score inflation
- Detailed per-phase scoring with live output streaming
- Evolving platform with continuous addition of new tests
Cons
- Paid service with limited free access
- Requires separate API keys from model providers
- Test results dependent on external model API availability
- Interpretation of scores may require deep technical knowledge
- Not open-source, limiting customizability
Official website: https://agentx-ray.aurumnebula.com/
Canonical LambdaBase page: https://www.lambdabase.com/tools/agentx-ray