# Kakehashi

**Canonical:** https://apis.io/providers/kakehashi/  
**Website:** https://kakehashi.life  
**APIs profiled:** 0

Kakehashi is a Japanese healthcare technology company digitally transforming the country's roughly 60,000 community pharmacies, a traditionally paper-based sector. Its flagship cloud platform Musubi provides electronic medication history, automated dispensing records, and personalized patient guidance, and is used by more than 14,000 pharmacies across Japan. The product suite extends to Musubi Insight (pharmacy management analytics), Pocket Musubi (patient follow-up app), Musubi AI Stock Management (machine-learning demand forecasting and inventory optimization), and Pharmarket. Kakehashi is backed by investors including 500 Global and Goldman Sachs. No public developer API or platform is currently published.

## Kin Score — 7.0 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 7.0).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 2.6 |
| 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)

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

## Tags

Company, Healthcare, Pharmacy, Software-as-a-Service, Japan, Medication, Digital Health, Inventory Management

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