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E2

Eval directory

Evals for E2B

8 evaluation packs covering adversarial robustness, safety gates, workflow quality, and operator-level checks for E2B AI products.

AI Platform
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About E2B

E2B provides secure cloud sandboxes for AI agents and AI-generated code. Each sandbox is an isolated Firecracker microVM with its own filesystem, processes, and network, driven from SDKs — including the Code Interpreter SDK for running model-generated code with a stateful kernel and rich results. The core sandbox infrastructure is open source and self-hostable. [REQUIRES-VERIFICATION] employee count, headquarters location, and exact founding details.

Employees

[REQUIRES-VERIFICATION]

Industry

AI Infrastructure / Code Sandboxes

Headquarters

San Francisco, CA [REQUIRES-VERIFICATION]

Website

e2b.dev

Available eval packs for E2B

8 packs ready to run.

Why eval E2B AI

E2B'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 E2B 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 E2B's public product surface and runnable in Corsac with your own data.