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Eval directory

Evals for xAI

8 evaluation packs covering adversarial robustness, safety gates, workflow quality, and operator-level checks for xAI AI products.

AI Platform
Use evals for xAI

About xAI

xAI builds the Grok foundation-model family and the xAI API — OpenAI-compatible chat completions, function calling, Live Search / DeepSearch real-time web grounding, Grok Vision multimodal inputs, reasoning models with a thinking-effort budget, and Grok / Aurora image generation.

Employees

~1,000

Industry

Foundation Model

Headquarters

Palo Alto, CA

Website

x.ai

Available eval packs for xAI

8 packs ready to run.

Why eval xAI AI

xAI's AI features ship behind brand promises about accuracy, safety, and reliability. Buyers and integrators need to know those promises hold up under adversarial prompts, edge-case workflows, and the long tail of real customer inputs — not just the demo path.

The Corsac eval library for xAI measures four dimensions teams care about most when deploying ai platform agents:

  • Adversarial robustness — does the agent resist prompt injection, jailbreaks, and social-engineering attempts?
  • Workflow quality— does it complete the task buyers were shown in the demo, on inputs that don't look like the demo?
  • Safety gates — does it escalate or refuse when it should, and only then?
  • Operator quality — does it preserve analyst trust by surfacing the right context at the right time?

Every eval pack above is hand-authored against xAI's public product surface and runnable in Corsac with your own data.