# Gradient Health

**Canonical:** https://apis.io/providers/gradient-health/  
**Website:** https://gradienthealth.io/  
**APIs profiled:** 0

Gradient Health is a multimodal medical data company that accelerates medical AI development by giving AI developers secure, self-service access to diverse, de-identified medical imaging data. Its Atlas platform lets teams search a catalog of 20M+ de-identified imaging studies across hundreds of DICOM tags with longitudinal, patient-level search, construct representative cohorts, and export full DICOM datasets. Gradient Health sources, de-identifies, curates, and delivers data from a network of healthcare data partners, and is HIPAA compliant and AICPA SOC 2 certified. First-party open-source tooling supports cloud-optimized DICOM storage, parsing, and TensorFlow decode operations.

## Kin Score — 25.4 / 100 (emerging)

Scored 2026-08-17 under rubric 0.11.0. Trend: flat (+0.0 from 25.4).

| Facet | Score |
|---|---|
| Discoverability | 57.4 |
| Contract Quality | 0.0 |
| Governance | 12.5 |
| Operational Transparency | 5.3 |
| Developer Ergonomics | 41.3 |
| Commercial Clarity | 42.1 |

Regulatory layer — **Health**: 30.0 (matched via tags).

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | 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)

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

## Tags

Company, Medical Imaging, Healthcare Data, Health AI, DICOM, Machine Learning, Data Platform, Radiology

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