AI PhD

AI PhD offers AI education through a series of beginner-friendly courses and learning paths. It provides live AI‑instructed lessons, a single‑payment model, and a growing catalog of topics covering prompt engineering, AI agents, and automation. The platform aims to make AI accessible without subscriptions, delivering up‑to‑date content and hands‑on projects for learners at any level.

AI PhD is listed with 1 API on the APIs.io network. Tagged areas include Education, Artificial Intelligence, Courses, Learning, and Platform.

AI PhD’s developer surface includes changelog and 12 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

10.4/100 minimal ▬ flat Agent 18/100 agent aware Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

1 API

Education Artificial Intelligence Courses Learning Platform

Kin Score

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

Composite quality — 10.4/100 · minimal

Contract Quality 0.0 / 21

Developer Ergonomics 0.0 / 17

Access Clarity 1.8 / 17

Operational Transparency 2.0 / 11

Contract Governance 0.0 / 10

Discoverability 4.9 / 9

Regulatory Posture 3.0 / 15

Agent readiness — 18/100 · agent aware

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 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 6 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 6 / 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, 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):

Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document
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
Rate-Limit Signaling +7 pts — OpenAPI responses document X-RateLimit-* / RateLimit headers (verified), else a rate_limits artifact or RateLimits link (documented)

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 0.0 — up to +25.0 composite points
Developer Ergonomics scores 0.0 — up to +20.0 composite points
Access Clarity scores 10.5 — up to +17.9 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/ai-phd-com/apis.yml: open an issue on github.com/api-evangelist/ai-phd-com 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 →

Standards implemented 2

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.

Model Context Protocol (MCP)

measured — observed by APIs.io (documented)

Dynamic Client Registration

measured — observed by APIs.io (published)

APIs 1

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

AI PhD API

API documentation is not publicly machine‑readable; the provider offers courses via website.

Security Posture 2

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

Ai Phd Com Domain Security

TLSv1.3 · HSTS · DNSSEC · DMARC

SECURITY

Ai Phd Com Vulnerability Disclosure

security.txt · contact published

SECURITY

Resources

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

WellKnown

WellKnown

Access & Security 4

Authentication, authorization, and security posture

Security

Security

SecurityTxt

SecurityTxt

VulnerabilityDisclosure

VulnerabilityDisclosure

DomainSecurity

DomainSecurity

Operate 2

Status, limits, changes, and where to get help

ChangeLog

ChangeLog

ChangeLog

ChangeLog

Commercial 2

Pricing, plans, and the legal terms of use

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 1

The organization behind the API

Website

Website

Other 2

Properties that don't map to a standard resource type

Hosts

Hosts

Vendors

Vendors

Source (apis.yml)

aid: ai-phd-com
name: AI PhD
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  probe_state: unreadable
  source:
  - security
  generated: '2026-11-06'
  method: derived
image: https://ai-phd.com/brand/ai-phd/og.png
description: AI PhD offers AI education through a series of beginner-friendly courses and learning paths. It provides live
  AI‑instructed lessons, a single‑payment model, and a growing catalog of topics covering prompt engineering, AI agents, and
  automation. The platform aims to make AI accessible without subscriptions, delivering up‑to‑date content and hands‑on projects
  for learners at any level.
url: https://artifacts.apis.io/ai-phd-com/apis.yml
x-type: company
x-source: harvest:mcp-registry
x-tier: profiled
x-tier-reason: enrichment pass 2026-11-01 (modular-v1; was harvest)
x-coverage:
  state: unreadable
  reason: js-rendered-docs
  detail: Provider's documentation pages are rendered via JavaScript, preventing machine‑readable spec discovery.
  evidence:
  - url: https://ai-phd.com/
    status: 200
  checked: '2026-11-01'
specificationVersion: '0.20'
created: '2026-11-01'
modified: '2026-11-01'
tags:
- Education
- Artificial Intelligence
- Courses
- Learning
- Platform
tags_raw:
- Education
- AI
- Courses
- Learning
- Platform
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: ChangeLog
  url: changelog/ai-phd-com-changelog.yml
- type: Security
  url: security/ai-phd-com-vulnerability-disclosure.yml
- type: LLMsTxt
  url: llms/ai-phd-com-llms.txt
- type: SecurityTxt
  url: well-known/ai-phd-com-security.txt
- type: WellKnown
  url: well-known/ai-phd-com-well-known.yml
- type: Hosts
  url: hosts/ai-phd-com-hosts.yml
- type: Vendors
  url: vendors/ai-phd-com-vendors.yml
- type: TermsOfService
  url: https://ai-phd.com/terms
- type: PrivacyPolicy
  url: https://ai-phd.com/privacy
- type: ChangeLog
  url: https://ai-phd.com/changelog
- type: VulnerabilityDisclosure
  url: security/ai-phd-com-vulnerability-disclosure.yml
- type: DomainSecurity
  url: security/ai-phd-com-domain-security.yml
- type: Website
  url: https://ai-phd.com/
apis:
- name: AI PhD API
  description: API documentation is not publicly machine‑readable; the provider offers courses via website.
  humanURL: https://ai-phd.com/changelog
  aid: ai-phd-com:ai-phd-api
x-enrichment:
  date: '2026-11-01'
  status: enriched
  artifacts_added: 14
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

AI PhD API — frequently asked questions

Does AI PhD have an API?

Yes. APIs.io lists 1 API from AI PhD, including AI PhD API.

Is the AI PhD API ready for AI agents?

AI PhD has a Kin Score of 10.4 out of 100 (minimal) and an Agent Readiness score of 18.2 (agent-aware), scored by API Evangelist on 2026-11-06.

Work with this as data

Every provider here is available over the APIs.io API and to AI agents over MCP.

MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

https://apis.io/mcp

Tools for providers

9 MCP tools reach this

find_providersBrowse and filter every provider in the catalog.
get_provider_artifactsEvery artifact this provider publishes, grouped by type.
get_provider_operationsEvery operation across all of their OpenAPIs — one call instead of parsing every spec.
get_provider_toolsEvery MCP tool they ship, with the operation each wraps.
get_provider_evidenceHow each part of their score was established. Free — the basis for a claim should not sit behind it.
get_provider_ratingPRO — composite, band, trend and facet scores.
apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
resolveTurn a domain, URL or GitHub org into the provider it belongs to.
find_cohortsEvery scored population of providers in the catalog.

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