# Vega Health

**Canonical:** https://apis.io/providers/vega-health/  
**Website:** https://www.vegahealth.com/  
**APIs profiled:** 0

Vega Health is a Durham, North Carolina healthcare AI company founded by Dr. Mark Sendak, formerly of the Duke Institute for Health Innovation. Its platform installs in a health system's own environment (cloud or on-prem) to integrate, evaluate, monitor, and scale clinical AI solutions, alongside a curated marketplace of vetted health AI solutions and commercialization support for academic AI research. Launched October 2025 with a $4M seed round led by Bessemer Venture Partners. The company publishes a SafeBase trust center (SOC 2, HIPAA) but no public API, developer portal, or SDKs as of 2026-07-21.

## Kin Score — 14.3 / 100 (emerging)

Scored 2026-08-21 under rubric 0.12.0. Trend: flat (+0.0 from 14.3).

| Facet | Score |
|---|---|
| Discoverability | 57.4 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 2.4 |
| Commercial Clarity | 36.8 |
| Access Clarity | 36.8 |

Regulatory layer — **Health**: 23.8 (matched via tags).

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## Security (2)

- **Vega Health Domain Security** — TLSv1.3 · DNSSEC · DMARC
- **Vega Health Trust Center** — SOC 2, HIPAA

## Tags

Company, Healthcare, Artificial Intelligence, Clinical AI, AI Governance, Marketplace, Health Systems

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/vega-health/). Scores are computed from the provider's own public artifacts under a published rubric.
