# Docebo

**Canonical:** https://apis.io/providers/docebo/  
**Website:** https://developer.docebo.com  
**APIs profiled:** 1

Docebo is an AI-powered learning management system (LMS) platform providing a REST API for managing courses, users, learning plans, certifications, custom reports, gamification data, and e-commerce transactions. It serves enterprise and mid-market organizations with 250+ learners across employee, customer, and partner training use cases.

## Kin Score — 35.6 / 100 (thin)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 35.6).

| Facet | Score |
|---|---|
| Discoverability | 68.5 |
| Contract Quality | 43.3 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 44.7 |
| Developer Ergonomics | 35.7 |
| Commercial Clarity | 28.9 |
| Access Clarity | 28.9 |

Regulatory layer — **Education & Research**: 22.2 (matched via tags).

## Agent readiness — 32.1 (agent-aware)

| Dimension | Value |
|---|---|
| Spec Presence | yes |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | yes |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | documented |
| Event Surface Described | yes |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |

## Access

Enterprise — onboarding: unknown, pricing: enterprise, trial: no (confidence: medium).

## APIs (1)

- **Docebo REST API** — RESTful API for managing all aspects of the Docebo learning platform including courses, users, enrollments, certifications, learning plans, reports, gamification, and e-commerce.

## Security (1)

- **Docebo Domain Security** — TLSv1.3 · HSTS · DMARC

## Plans (1)

- **Docebo Plans Pricing**

## Tags

Learning Management System, LMS, E-Learning, Training, Courses, Certifications, Gamification, Learning Plans, HR Tech, AI Learning

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