Docebo

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.

Docebo is listed with 1 API on the APIs.io network: REST API. Tagged areas include LMS, E-Learning, Training, Courses, and Certification.

Docebo’s developer surface includes documentation, developer portal, authentication, changelog, status page, engineering blog, release notes, and 10 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

23.4/100 emerging ▬ flat Agent 20/100 agent aware Front door AI 6/6 dominant Heartbeat 100/100 alive saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessEnterprise

1 API

LMS E-Learning Training Courses Certification Gamification Learning Plans Human ResourcesAI Learning

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 23.4/100 · emerging

Contract Quality 5.0 / 21

Developer Ergonomics 6.1 / 17

Access Clarity 0.9 / 17

Operational Transparency 3.2 / 11

Contract Governance 0.0 / 10

Discoverability 5.6 / 9

Regulatory Posture 1.8 / 15

Agent readiness — 20/100 · agent aware

Machine-Readable Contract 18 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 7 / 7

Typed Event Surface 6 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the Education & Research regime (on an ambiguous tag, where no other regime matched), so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Agent readiness — checks not met, largest first (exact, from this profile):

MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented)
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
Request/Response Examples +7 pts — share of operations carrying request/response examples; else an Examples / Code Samples link

9 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Contract Quality scores 23.4 — up to +19.2 composite points
Access Clarity scores 5.3 — up to +18.9 composite points
Developer Ergonomics scores 35.7 — up to +12.9 composite points

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from the provider profile at artifacts.apis.io/docebo/apis.yml: open an issue on github.com/api-evangelist/docebo to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Markets this provider is in provisional

The Kin Score Market layer reads a provider inside its market: its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted: not part of the Kin Score or agent readiness.

Market	Position	Depth	Registered MCP server	Declares compatibility
Zoom App Marketplace and Partner Ecosystem (builders and partners on Zoom)	builds-on	34.9	-	-

Registered MCP server and declares compatibility are report only — not weighted. Undeclared means we found nothing we can read, so there is no number: we never infer integrations.

Standards implemented 1

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

OpenAPI

measured — observed by APIs.io (published)

APIs 1

Individual APIs this provider publishes, each with its own machine-readable definition.

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.

Docebo API pricing

Not yet checked against Docebo's own pricing page. Compiled by API Evangelist; confirm before you rely on a figure.

Plan	Price
Elevate	—
Enterprise	—

Plan details, limits and sources →

Pricing Plans 1

Published pricing tiers and plan structures.

Docebo Plans Pricing

2 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Docebo Rate Limits

2 limits

RATE LIMITS

Service Levels 1

Uptime the provider promises or reports, as SLA4OAI. Read from its own pages; APIs.io runs no monitors.

Docebo

SLA

FinOps 1

Cost, billing, and metering signals for API financial operations.

Docebo Finops

FINOPS

Security Posture 1

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Docebo Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

Portal

Portal

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Design & Contract 2

Pagination, idempotency, versioning, errors, and events

Webhooks

Webhooks

JSONLD

JSONLD

Access & Security 2

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Authentication

Authentication

Operate 5

Status, limits, changes, and where to get help

ChangeLog

Status

Community

ReleaseNotes

RateLimits

Commercial 2

Pricing, plans, and the legal terms of use

Plans

Plans

FinOps

FinOps

Company 4

The organization behind the API

BlogRSS

Website

Blog

BlogPosts

Source (apis.yml)

aid: docebo
name: Docebo
description: 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.
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: enterprise
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Enterprise
  confidence: low
  source:
  - plans
  - security
  generated: '2026-11-06'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/docebo.png
url: https://raw.githubusercontent.com/api-evangelist/docebo/refs/heads/main/apis.yml
created: '2026-06-13'
modified: '2026-10-06'
specificationVersion: '0.23'
tags:
- LMS
- E-Learning
- Training
- Courses
- Certification
- Gamification
- Learning Plans
- Human Resources
- AI Learning
tags_raw:
- Learning Management System
- LMS
- E-Learning
- Training
- Courses
- Certifications
- Gamification
- Learning Plans
- HR Tech
- AI Learning
apis:
- name: Docebo REST API
  description: RESTful API for managing all aspects of the Docebo learning platform including courses, users, enrollments,
    certifications, learning plans, reports, gamification, and e-commerce.
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://developer.docebo.com/docs/api-general-information
  baseURL: https://{domain}.docebosaas.com
  tags:
  - Courses
  - User
  - Enrollment
  - Certification
  - Learning Plans
  - Reports
  - Gamification
  - E-Commerce
  - Webhook
  tags_raw:
  - Courses
  - Users
  - Enrollments
  - Certifications
  - Learning Plans
  - Reports
  - Gamification
  - E-Commerce
  - Webhooks
  properties:
  - type: Documentation
    url: https://developer.docebo.com/docs/api-general-information
  - type: OpenAPI
    url: https://developer.docebo.com
  - type: Authentication
    url: https://developer.docebo.com/docs/api-guides
  - type: Webhooks
    url: https://developer.docebo.com
  - type: ChangeLog
    url: https://help.docebo.com/hc/en-us/articles/17920441206034-Deprecated-and-changed-API-calls
  - type: Status
    url: https://status.docebo.com
  contact:
  - FN: Docebo Support
    url: https://help.docebo.com
common:
- url: https://www.docebo.com/feed/
  type: BlogRSS
- type: Website
  url: https://www.docebo.com/
- type: DomainSecurity
  url: security/docebo-domain-security.yml
- type: Documentation
  url: https://developer.docebo.com/docs/api-general-information
- type: Portal
  url: https://developer.docebo.com
- type: Authentication
  url: https://developer.docebo.com/docs/api-guides
- type: Webhooks
  url: https://developer.docebo.com
- type: ChangeLog
  url: https://help.docebo.com/hc/en-us/articles/17920441206034-Deprecated-and-changed-API-calls
- type: Status
  url: https://status.docebo.com
- type: Blog
  url: https://www.docebo.com/learning-network/blog/integration-type/apis-and-webhooks/
- type: Community
  url: https://community.docebo.com/integrations-apis-45
- type: ReleaseNotes
  url: https://help.docebo.com/hc/en-us/articles/19807231971474-Product-updates
- type: Plans
  url: plans/docebo-plans-pricing.yml
- type: RateLimits
  url: rate-limits/docebo-rate-limits.yml
- type: FinOps
  url: finops/docebo-finops.yml
- type: JSONLD
  url: json-ld/docebo.json
- type: BlogPosts
  url: blogs/blogs.json
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com

Docebo API — frequently asked questions

Does Docebo have an API?

Yes. APIs.io lists 1 API from Docebo, including Docebo REST API.

Is there an OpenAPI specification for the Docebo API?

Yes. APIs.io indexes 1 OpenAPI specification for Docebo, each linked for download from this page.

How do I authenticate with the Docebo API?

Docebo uses bearer-token authentication.

How much does the Docebo API cost?

APIs.io lists 2 pricing plans for Docebo, with each plan's price, limits and inclusions under Pricing on this page.

Is the Docebo API ready for AI agents?

Docebo has a Kin Score of 23.4 out of 100 (emerging) and an Agent Readiness score of 20.0 (agent-aware), scored by API Evangelist on 2026-11-06.

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