# Flowneuroscience

**Canonical:** https://apis.io/providers/flowneuroscience/  
**Website:** https://www.flowneuroscience.us/  
**APIs profiled:** 0

Flow Neuroscience is a Malmo, Sweden medtech company founded in 2016 by clinical psychologist Daniel Mansson and neuroscientist Erik Rehn. It develops a medically approved, at-home transcranial direct current stimulation (tDCS) headset paired with a behavioral-therapy smartphone app to treat major depressive disorder without medication. Its Flow FL-100 device is CE-marked in the EU and UK and received FDA approval (PMA P230024) as the first at-home tDCS treatment for depression, with a US launch planned for September 2026. Flow is backed by Khosla Ventures and other global investors. This is a consumer and clinical medical-device company; no public developer API, OpenAPI, or developer portal was found during enrichment.

## Kin Score — 6.0 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 6.0).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 0.0 |
| Commercial Clarity | 13.2 |
| Access Clarity | 13.2 |

Regulatory layer — **Health**: 7.5 (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)

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

## Tags

Company, Health, Healthcare, Medical Devices, Mental Health, Depression, Neuroscience, Neurotechnology, Digital Health, MedTech

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