# Raspberry Pi

**Canonical:** https://apis.io/providers/raspberry-pi/  
**Website:** https://www.raspberrypi.com  
**APIs profiled:** 0

Raspberry Pi designs and manufactures affordable, low‑cost computers and accessories for education, hobbyists, and industry. Their products include the Raspberry Pi single‑board computers, Compute Modules, and accessories, supported by extensive documentation, software, and a global community. The company is based in the UK and focuses on open‑source hardware and software to enable accessible computing for a wide range of applications.

## Kin Score — 7.4 / 100 (minimal)

Scored 2026-11-06 under rubric 0.27.0. Trend: flat (-3.8 from 11.2).

| Facet | Score |
|---|---|
| Discoverability | 44.6 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 7.9 |
| Developer Ergonomics | 14.3 |
| Access Clarity | 0.0 |

Regulatory layer — **Education & Research**: 11.8 (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 |
| Delegated Identity | no |
| Protected Resource Metadata | no |
| Dynamic Client Registration | no |
| Agentic Commerce | no |
| Pagination Ratio | na |
| Operation Distinctiveness | na |
| MCP Tool Quality | na |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## Security (2)

- **Raspberry Pi Domain Security** — TLSv1.3 · DMARC
- **Raspberry Pi Vulnerability Disclosure** — security.txt · contact published

## Tags

Company, Hardware, Education, Open Source, Community

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