Friedrich-Alexander-Universität Erlangen-Nürnberg
Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) is a public research university in Bavaria, Germany, ranked #224 in the QS World University Rankings 2025. FAU does not operate a single consolidated developer portal, but several of its central services expose public, machine-readable interfaces. The University Library's OPEN FAU institutional repository runs on DSpace 7.4 and publishes a browsable REST/HAL API and an OAI-PMH metadata interface, while the FAU CRIS research information system (built on Clarivate Converis) exposes a public web-service path that is access-restricted on FAU's instance. Central IT (RRZE) and the Competence Center for Research Data and Information (CDI) maintain active public GitHub organizations and a self-hosted GitLab.
More than an index entry, but the surface is still mostly links rather than artifacts — the cohort most likely to move a full band from modest, well-targeted work.
API Evangelist profiles Friedrich-Alexander-Universität Erlangen-Nürnberg the way a machine reads it — 9 machine-readable artifacts across 3 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 — Friedrich-Alexander-Universität Erlangen-Nürnberg scores 23.9/100 (emerging), with a separate agent-readiness read of 16/100 (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.
Kin Score
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile Friedrich-Alexander-Universität Erlangen-Nürnberg
Each block below is one kind of artifact we hold for Friedrich-Alexander-Universität Erlangen-Nürnberg. 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 3
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.
OPEN FAU DSpace REST API
OPEN FAU is the institutional open-access publication repository of FAU, built on DSpace 7.4. Its REST/HAL API exposes communities, collections, items, bitstreams, discovery/sea...
OPEN FAU OAI-PMH Interface
OAI-PMH metadata harvesting interface for the OPEN FAU DSpace repository, supporting standard verbs (Identify, ListRecords, ListSets, GetRecord) for bulk metadata harvesting of ...
FAU CRIS Converis Public Web Service
FAU CRIS is the university's research information system, built on Clarivate Converis, holding 146,000+ publications and 5,200+ research projects and syndicating data to 1,000+ ...
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 six things the Kin Score reads for commercial clarity.
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.
Security Posture 2
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.
Friedrich Alexander Universitat Erlangen Nurnberg Domain Security
TLSv1.3 · HSTS · DNSSEC · DMARC
SECURITYFriedrich Alexander Universitat Erlangen Nurnberg Vulnerability Disclosure
security.txt · contact published
SECURITYResources
Every other property we hold for Friedrich-Alexander-Universität Erlangen-Nürnberg — 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.
Build 3
SDKs, sample code, and the tooling you integrate with
Access & Security 3
Authentication, authorization, and security posture
Operate 1
Status, limits, changes, and where to get help
Commercial 2
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API
Other 1
Properties that don't map to a standard resource type
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