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University of Groningen

The University of Groningen (Rijksuniversiteit Groningen, RUG/UG) is a public research university in Groningen, the Netherlands, founded in 1614. Measured honestly, it runs no API programme: there is no developer portal, no api.rug.nl, no status page, no published versioning or deprecation policy, and no first-party OpenAPI anywhere on its estate — api.rug.nl, data.rug.nl, developer.rug.nl and status.rug.nl do not resolve at all. What it does operate, on its own domain, is a small set of real programmable surfaces: the Ocasys course and degree-programme catalog, whose JSON backend at ocasys.rug.nl/api answers unauthenticated course search, full course records, programme search, faculties and controlled option lists, and emits RFC 9457 problem details on error; a keyless OAI-PMH 2.0 endpoint at pure.rug.nl/ws/oai serving 1,521,703 identifiers across six metadata profiles including OpenAIRE CERIF 1.2 with resolvable ORCID iDs; and its own SAML 2.0 identity provider at signon.rug.nl, registered in eduGAIN through SURFconext. Everything else that looks like a University of Groningen API is a purchase. The CRIS is Elsevier Pure, research data lives in a collection inside the shared national DataverseNL installation that DANS and SURF operate, and library discovery is OCLC WorldCat. Those are recorded here as tenant relationships, not as the University's engineering.

agent aware

Real signal across most facets with visible, nameable gaps — the contract exists but is thin, or the portal is good while governance and commercial terms are absent.

Kin Score

API Evangelist profiles University of Groningen the way a machine reads it — 21 machine-readable artifacts across 2 APIs, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.

Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — University of Groningen scores 46.7/100 (developing), with a separate agent-readiness read of 24/100 (agent aware). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.

Kin Score

This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance. Every facet and dimension name is a link: it opens that measurement's page on APIs.io, where the rating runs across the whole catalog — the exact checks that feed it, how every profiled provider distributes on it, and who is at the top of it.

Kin Score Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0
University of Groningen Kin Score — API readiness rating by API Evangelist

Put this on your own site. The badge is drawn live from University of Groningen's current Kin Score — paste it once and it updates itself every time the score is recomputed. It follows your visitor's light or dark setting, and it links back here so anyone who sees it can read the full breakdown.

<!-- Kin Score · API Evangelist -->
<a href="https://providers.apievangelist.com/providers/university-of-groningen/"
   title="University of Groningen on API Evangelist — API profile and Kin Score">
  <img src="https://apis.io/badge/university-of-groningen.svg"
       alt="University of Groningen Kin Score — API readiness rating by API Evangelist" width="150" height="150" loading="lazy">
</a>

More shapes, themes and sizes → · Score as JSON · How badges work

How we profile University of Groningen

Each block below is one kind of artifact we hold for University of Groningen. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.

APIs 6

Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.

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

University of Groningen Ocasys Course Catalog API

The JSON backend behind Ocasys, the University's own course and degree-programme catalog. Verified live 2026-08-30 with no credentials: course search, full course records, the c...

University of Groningen Research Database OAI-PMH

Keyless OAI-PMH 2.0 metadata-harvesting endpoint operated by the University on its own domain. Verified live 2026-08-30: Identify reports protocolVersion 2.0, repositoryName "Un...

University of Groningen Identity Provider (SURFconext / eduGAIN)

The University runs its own SAML 2.0 identity provider and publishes signed federation metadata at signon.rug.nl for entityID https://signon.rug.nl/nidp/saml2/metadata. Verified...

University of Groningen Research Portal (Pure) REST API

The Elsevier Pure web service deployed on the University's CRIS host. Probed 2026-08-30: pure.rug.nl/ws/api redirects to /ws/api/documentation/index.html, whose rel=canonical is...

University of Groningen research data collection on DataverseNL

The University's default repository for research data and software is a collection inside DataverseNL, the shared national Dataverse installation that DANS and SURF operate at d...

University of Groningen Library discovery (OCLC WorldCat)

Library discovery runs on OCLC WorldCat Discovery at rug.on.worldcat.org, a tenant instance on OCLC's platform rather than a catalog interface the University operates. Verified ...

Pricing Plans 1

Pricing is part of the interface. Machine-readable plans tell you what a tier costs and includes before you commit — one of the things the Kin Score reads for access clarity — renamed from commercial clarity in rubric 0.12, because a free statutory interface has access terms and no commercial ones.

Published pricing tiers and plan structures.

Rate Limits 1

Rate limits are the difference between a demo that works and a production integration that doesn't fall over. Publishing them is an operational-transparency signal — and a hard requirement for any agent that plans its own throughput.

Documented rate limits and quota policies.

FinOps 1

Cost, billing, and metering signals let a buyer model the financial operations of an API before it's live. We profile them for the same reason we profile pricing: the money is part of the contract.

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

Semantic Vocabularies 1

JSON-LD contexts give the data shared meaning across APIs. We profile them because semantics are what let a machine reconcile 'customer' here with 'customer' somewhere else.

JSON-LD contexts and semantic vocabularies used across these APIs.

University Of Groningen Course Context

17 classes · 4 properties

JSON-LD

Spectral Rules 1

Governance rulesets we run against this provider's specs — the automated checks behind parts of the score. Profiling them makes the quality bar explicit and re-runnable, not a matter of opinion.

University of Groningen API Rules

9 rules · 4 errors · 5 warnings

SPECTRAL

JSON Schema 2

Standalone JSON Schema definitions describe the data models behind the API. We profile them so the shapes are validatable on their own — useful long after a single request is forgotten.

Standalone JSON Schema definitions for this provider's data models.

Ocasys Course

30 properties

JSON SCHEMA

Ocasys Degree Programme

14 properties

JSON SCHEMA

Examples 5

Real request and response payloads are what turn a spec from abstract into obvious — and they're one of the twelve things an agent needs to call an API correctly on the first try.

Example request and response payloads for these APIs.

Security Posture 3

Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.

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

University Of Groningen Domain Security

TLSv1.3 · HSTS · DNSSEC · DMARC

SECURITY

University Of Groningen Vulnerability Disclosure

security.txt · contact published

SECURITY

Resources

Every other property we hold for University of Groningen — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.

Documentation 1

Reference material describing how the API behaves

Design & Contract 3

Pagination, idempotency, versioning, errors, and events

Learn 1

Tutorials, courses, talks, and written guidance

Operate 2

Status, limits, changes, and where to get help

← All providers · Data indexed from github.com/api-evangelist/university-of-groningen · machine-readable index on apis.io

Where this information came from

This is an independent, third-party profile of University of Groningen, published by API Evangelist. We do not operate, host, resell, or support these APIs, and we are not affiliated with or endorsed by the company unless stated above. Everything here is built from publicly available information — the company's own site, developer portal, documentation, public repositories, and the specifications it publishes for public use. Nothing is obtained by breaching a system, defeating an access control, or using credentials.

The Kin Score and Agent Readiness rating are independently calculated assessments of a company's public API artifacts, scored against a published rubric. They are not certifications, endorsements, security assessments, or audits.

Corrections, re-scores, and removal are free — no partnership or purchase required, and you do not need to justify the request. A removed company is recorded as unrated, never scored zero for having asked. Acknowledgement within one business day; removal within two.

info@apievangelist.com · Read the full data-sourcing policy →
On a security or compliance team? Put security in the subject line and you will get a person, not a form — we will tell you exactly which public URLs this profile was built from.