Charles University
Charles University (Univerzita Karlova), founded in 1348 in Prague, is the largest and oldest university in Czechia. Unusually for a university, a substantial part of its programmable footprint is genuinely institution-operated rather than a vendor contract running under its name. The Institute of Formal and Applied Linguistics (UFAL) in the Faculty of Mathematics and Physics runs the LINDAT/CLARIAH-CZ research infrastructure and publishes five documented, keyless, production REST APIs on its own host — machine translation, UDPipe (tokenization, tagging, lemmatization and dependency parsing across 961 Universal Dependencies models), NameTag (named-entity recognition), MorphoDiTa (morphological analysis and generation) and Korektor (Czech spellchecking and diacritics). Three DSpace repositories on university-owned infrastructure expose OAI-PMH 2.0, and the LINDAT repository additionally exposes a DSpace 7 HAL REST API. The university operates its own Shibboleth SAML identity provider at idp.cuni.cz, registered in the Czech national federation eduID.cz, and is a DataCite registrant (CUNI) and Crossref member. What it does NOT have is a central developer portal, an open-data portal, or any public API over the Study Information System (SIS) or student records — those are gated behind eduID/Shibboleth. Library discovery (UKAZ) is an Ex Libris Primo tenancy and cuni.figshare.com is a Figshare tenancy; both are real institutional relationships whose contracts belong to the vendors.
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.
API Evangelist profiles Charles University the way a machine reads it — 42 machine-readable artifacts across 5 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 — Charles University scores 43.1/100 (developing), with a separate agent-readiness read of 22/100 (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
How this is scored →scored 2026-09-10 · rubric v0.20.0
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title="Charles University on API Evangelist — API profile and Kin Score">
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</a>More shapes, themes and sizes → · Score as JSON · How badges work
How we profile Charles University
Each block below is one kind of artifact we hold for Charles University. 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 17
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.
LINDAT Translation Languages API
Source and target language operations of the LINDAT Machine Translation API, operated by the Institute of Formal and Applied Linguistics (UFAL) at Charles University. Translatio...
LINDAT Translation Models API
Translation-model operations of the LINDAT Machine Translation API, operated by UFAL at Charles University. Models are neural MT systems such as CUBBITT, addressed by source-tar...
LINDAT Translation Root API
Root navigation resource of the LINDAT Machine Translation API, returning HAL links to the languages and models collections.
LINDAT UDPipe API
Public keyless REST API for tokenization, part-of-speech tagging, lemmatization and dependency parsing of CoNLL-U data, operated by UFAL at Charles University. The live service ...
LINDAT NameTag API
Public keyless REST API for named-entity recognition and tokenization (NameTag 3) operated by UFAL at Charles University via LINDAT/CLARIAH-CZ. The OpenAPI here is derived by AP...
LINDAT MorphoDiTa API
Public keyless REST API for morphological analysis, morphological generation, part-of-speech tagging and tokenization, principally for Czech, operated by UFAL at Charles Univers...
LINDAT Korektor API
Public keyless REST API for Czech statistical spellchecking, diacritics generation and ranked correction suggestions, operated by UFAL at Charles University. The OpenAPI here is...
CU Digital Repository OAI-PMH
The Charles University Digital Repository (Digitalni repozitar UK), a DSpace instance running on university-owned infrastructure (dspace.cuni.cz resolves to dspace-in-1.is.cuni....
CU Research Publications Repository OAI-PMH
The Charles University Research Publications Repository (Repozitar publikacni cinnosti UK), a DSpace instance on university-owned infrastructure, exposes a public OAI-PMH 2.0 en...
LINDAT/CLARIAH-CZ Repository OAI-PMH
OAI-PMH 2.0 endpoint of the LINDAT/CLARIAH-CZ digital library operated by UFAL at Charles University, holding language resources and tools back to 2006. The Identify response al...
LINDAT/CLARIAH-CZ Repository REST API
DSpace 7 HAL+JSON REST API of the LINDAT/CLARIAH-CZ digital library, served from UFAL's own host at Charles University. The root discovery document returns 200 application/hal+j...
Charles University Shibboleth Identity Provider
Charles University operates its own Shibboleth SAML 2.0 identity provider. Metadata is served at idp.cuni.cz as application/xml with entityID https://cas.cuni.cz/idp/shibboleth,...
DataCite Registrant — Charles University (CUNI)
Charles University is a DataCite registrant under provider symbol CUNI, memberType consortium_organization, country CZ, linked to ROR https://ror.org/024d6js02. This is a member...
Crossref Membership — Charles University
Charles University holds two Crossref memberships: 5727, "Charles University in Prague, Karolinum Press" (the university press), and 55007, the Institute of Communication Studie...
ROR Registration — Charles University
Charles University is registered in the Research Organization Registry as https://ror.org/024d6js02, located in Czechia. Recorded as a registry membership; the ROR API is ROR's ...
UKAZ Library Discovery — Ex Libris Primo VE tenancy
UKAZ, the Charles University library discovery service, is an Ex Libris Primo VE tenancy. ukaz.cuni.cz redirects to cuni.primo.exlibrisgroup.com with institution view id 420CKIS...
Charles University Figshare — Figshare tenancy
cuni.figshare.com is a Figshare tenancy for Charles University; DNS resolves it by CNAME to figshare.com. The host answered an AWS WAF bot challenge (HTTP 202, empty body) on 20...
Scroll within the panel for all 17 ·
Open Collections 4
Open, tool-agnostic collections carry the same runnable value as Postman without locking you to one client — the portable, forkable form of the same exercise.
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
API Collection
OPEN COLLECTIONLINDAT Translation languages API
OPEN COLLECTIONLINDAT Translation languages models API
OPEN COLLECTIONLINDAT Translation languages root API
OPEN COLLECTIONPricing 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.
Charles Rate Limits
RATE LIMITSFinOps 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.
Charles Finops
FINOPSSemantic 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.
Charles Context
JSON-LDSpectral Rules 2
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.
Charles University API Rules
SPECTRALCharles University API Rules
SPECTRALJSON 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.
LanguageResource
JSON SCHEMAModelResource
JSON SCHEMAJSON Structure 2
JSON Structure captures the data shapes in a form built for tooling — a complement to JSON Schema that keeps the model machine-legible.
JSON Structure definitions describing this provider's data shapes.
Charles Language Structure
JSON STRUCTURECharles Model Structure
JSON STRUCTUREExamples 8
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.
Scroll within the panel for all 8 ·
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.
Agentic Access 1
An x-agentic-access contract marks which operations are safe for an agent to run on its own and which need a human in the loop. It is the difference between an API an agent can use and one it can use safely.
Recommended x-agentic-access execution contracts for AI agents.
Resources
Every other property we hold for Charles University — 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 2
Reference material describing how the API behaves
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 1
Pagination, idempotency, versioning, errors, and events
Build 4
SDKs, sample code, and the tooling you integrate with
Access & Security 4
Authentication, authorization, and security posture
Learn 1
Tutorials, courses, talks, and written guidance
Operate 2
Status, limits, changes, and where to get help
Commercial 3
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API
Other 4
Properties that don't map to a standard resource type
← All providers · Data indexed from github.com/api-evangelist/charles · machine-readable index on apis.io
This is an independent, third-party profile of Charles University, 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.
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