# Vitrue Health

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

Vitrue Health is a London-based, Techstars-backed digital health company providing an AI-powered musculoskeletal (MSK) and workplace ergonomics platform. Its VIDA product uses camera-based AI assessments to automate Display Screen Equipment (DSE) compliance, deliver personalized pain-management pathways, and give employers analytics through a VIDA Co-Pilot dashboard, reporting an average 34% reduction in MSK pain. The platform integrates with HR systems, learning management systems, and SSO/provisioning identity providers, but does not publish a public developer API, SDK, or API documentation.

## Kin Score — 12.6 / 100 (emerging)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 12.6).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 7.1 |
| Commercial Clarity | 31.6 |
| Access Clarity | 31.6 |

Regulatory layer — **Health**: 17.5 (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 (1)

- **Vitrue Health Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Company, Digital Health, Musculoskeletal, Ergonomics, Workplace Wellness, DSE Compliance, Occupational Health, Artificial Intelligence

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