Eval directory
Evals for Atropos Health
6 evaluation packs covering adversarial robustness, safety gates, workflow quality, and operator-level checks for Atropos Health AI products.
About Atropos Health
Atropos Health develops a platform that generates personalized real-world evidence from healthcare data for clinical decisions and research inquiries. Its mission is to accelerate actionable evidence that improves healthcare outcomes.
Industry
Healthcare Data / Real-World Evidence
Website
www.atroposhealth.comHow complete this published benchmark library is across datasets, metrics, rubrics, use-case maps, and pack context. This is library coverage, not an agent performance score.
Test datasets
6/6 packs
Scoring metrics
6/6 packs
Judge rubrics
6/6 packs
Use-case maps
0/6 packs
Pack context
6/6 packs
Available eval packs for Atropos Health
6 packs ready to run.
Analytics Execution Compute Pipeline
52 graded scenarios covering edge cases, failure modes, and quality checks.
Clinical Question Intake Interpretation
64 graded scenarios covering edge cases, failure modes, and quality checks.
Concept Cohort Phenotype Definition
52 graded scenarios covering edge cases, failure modes, and quality checks.
Evidence Synthesis Narrative Answer Generation
58 graded scenarios covering edge cases, failure modes, and quality checks.
Statistical Result Interpretation Visualization
61 graded scenarios covering edge cases, failure modes, and quality checks.
Study Design Statistical Methodology
56 graded scenarios covering edge cases, failure modes, and quality checks.
Why eval Atropos Health AI
Atropos Health'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 Atropos Health measures four dimensions teams care about most when deploying medical & clinical ai 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 Atropos Health's public product surface and runnable in Corsac with your own data.