All evals
R

Eval directory

Evals for Replicate

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

AI Platform
Use evals for Replicate

About Replicate

Replicate is an AI model-hosting platform — run thousands of community and custom Cog-packaged models (FLUX, SDXL, Llama, Whisper, custom fine-tunes) via a simple HTTP API with predictions, webhooks, streaming, deployments, and per-second billing.

Employees

~80

Industry

AI Inference Platform

Headquarters

San Francisco, CA

Available eval packs for Replicate

8 packs ready to run.

Why eval Replicate AI

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