# MindRhythm

**Canonical:** https://apis.io/providers/mindrhythm/  
**Website:** https://mindrhythm.com/  
**APIs profiled:** 0

MindRhythm is a medical technology company focused on improving outcomes caused by neurological injury. Founded by scientific experts with prior commercialization success, the company builds a detection and monitoring platform — anchored by its Headpulse technology — that provides real-time visibility into life-threatening neurological events such as large-vessel-occlusion stroke and concussion, across the home, EMS, battlefield, and clinical settings. MindRhythm publishes clinical studies, news, and company/leadership information on its site; it does not expose a public developer API, SDK, or API documentation surface at this time.

## Kin Score — 6.7 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 6.7).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 2.4 |
| 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)

- **Mindrhythm Domain Security** — TLSv1.3 · DMARC

## Tags

Company, Healthcare, Medical Devices, Neurodiagnostics, Neurology, Stroke Detection, Medical Technology, Health

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