# Hyperfine Research

**Canonical:** https://apis.io/providers/hyperfine-research/  
**Website:** https://www.hyperfinemri.com  
**APIs profiled:** 0

Hyperfine, Inc. (Nasdaq: HYPR) is a medical device company that created the Swoop Portable MR Imaging System, the first FDA-cleared, AI-powered, portable brain MRI. Swoop uses an ultra-low-field (0.064T) magnet — a fraction of the field strength of conventional MRI — to deliver diagnostic brain imaging at the point of care in hospitals, neurology clinics, ICUs, and pediatric settings without dedicated shielded infrastructure. Its Optive AI software applies deep-learning image reconstruction to reduce noise and blur. Hyperfine is headquartered in Guilford, Connecticut and is backed by GV (Google Ventures). Hyperfine publishes no public developer API, SDKs, or documentation surface.

## Kin Score — 7.6 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 7.6).

| 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 | 10.5 |
| Access Clarity | 10.5 |

Regulatory layer — **Health**: 12.5 (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)

- **Hyperfine Research Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Company, Life Sciences, Medical Imaging, MRI, Medical Devices, Healthcare, Artificial Intelligence, Neurology, Point of Care

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