# Coded

**Canonical:** https://apis.io/providers/coded/  
**Website:** https://coded.kw  
**APIs profiled:** 0

CODED is a Kuwait-based coding education and technology skills company offering hands-on bootcamps and programs for adults, youth, and kids. Its adult bootcamps cover Cybersecurity, Agentic AI, AI & Data Science, and AI App Development, while youth tracks (ages 14-24) and kids programs (ages 6-13) build foundational and career-oriented tech skills through projects, coaching, and real-world standards. CODED also delivers custom enterprise training for corporate teams. Surfaced as a 500 Global portfolio company and added to the API Evangelist network; CODED is an education provider and publishes no public developer API, SDKs, or specifications.

## 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 | 4.8 |
| Commercial Clarity | 10.5 |
| Access Clarity | 10.5 |

Regulatory layer — **Education & Research**: 18.5 (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)

- **Coded Domain Security** — TLSv1.3 · HSTS

## Tags

Company, Education, EdTech, Coding Bootcamp, Developer Training, Artificial Intelligence, Cybersecurity, Data Science, Kuwait

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