Complutense University of Madrid
Universidad Complutense de Madrid (UCM) is Spain's largest public research university, founded 1499 and ranked #164 in the QS World University Rankings 2025. UCM operates no central developer portal and publishes no OpenAPI, AsyncAPI or SDK of its own — a re-profile on 2026-08-30 probed every candidate host and found none. What it does operate, verified live, is two things. First, Docta Complutense (docta.ucm.es), its institutional repository, self-hosted on UCM's own domain running DSpace 7.6.5: the DSpace REST/HAL API answers at /rest/api and an OAI-PMH 2.0 endpoint answers verb=Identify at /rest/oai/request with twelve metadata formats. The repository is UCM's; the API contract is DSpace's open-source one and is not saved here. Second, UCM is registered in eduGAIN through the Spanish RedIRIS SIR federation as a SAML 2.0 Identity Provider (entityID https://www.rediris.es/sir/ucmidp, scope ucm.es, Sirtfi asserted) — machine-readable, institution-scoped, but hosted on RedIRIS infrastructure, so recorded as a tenant relationship. UCM's open data is not self-hosted either: it is published through UniversiDATA, a five-university DKAN consortium portal (UAM, UCM, UHU, UVa, URJC) that exposes DataStore, CKAN and DCAT APIs. Thirteen of the portal's seventy-one datasets are UCM's — degree programmes, faculties, departments, budgets, mobility and procurement. UCM's data, the consortium's platform, so every UniversiDATA surface below is x-operator tenant, not institution. No course/timetable API, no library discovery API, no research-computing or campus-life API was found on any ucm.es host.
Limited machine-readable signal and partial portal coverage — documentation a human can read, but little a machine or agent can consume without scraping.
API Evangelist profiles Complutense University of Madrid the way a machine reads it — 11 machine-readable artifacts across 6 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 — Complutense University of Madrid scores 29.6/100 (thin), with a separate agent-readiness read of 3/100 (human only). 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 2026-09-08 · rubric v0.20.0
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How we profile Complutense University of Madrid
Each block below is one kind of artifact we hold for Complutense University of Madrid. 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.
Docta Complutense Repository API (DSpace 7)
Docta Complutense is UCM's open-access institutional repository, migrated in 2023 to DSpace 7 and self-hosted on UCM's own domain. Probed 2026-08-30: GET https://docta.ucm.es/re...
Docta Complutense OAI-PMH Endpoint
OAI-PMH 2.0 harvesting endpoint for Docta Complutense, on UCM's own host. Probed 2026-08-30: verb=Identify returns HTTP 200 text/xml with repositoryName "Docta Complutense", rep...
UCM SAML 2.0 Identity Provider (RedIRIS SIR / eduGAIN)
UCM's institutional single sign-on, registered in eduGAIN through RedIRIS SIR, the Spanish national research and education federation. entityID https://www.rediris.es/sir/ucmidp...
UniversiDATA DataStore API
DataStore query API of UniversiDATA, the DKAN open-data platform shared by five Spanish public universities (UAM, UCM, UHU, UVa, URJC) of which UCM is a founding member. Returns...
UniversiDATA CKAN Dataset API
CKAN-compatible metadata API of the UniversiDATA consortium platform, supporting current_package_list_with_resources, package_show and resource_show. Probed 2026-08-30: HTTP 200...
UniversiDATA DCAT Catalog API
DCAT catalogue endpoint of UniversiDATA, addressed per participating university by acronym. The UCM catalogue is the only UCM-specific path on this host. Probed 2026-08-30: the ...
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.
Complutense University Of Madrid 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.
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 1
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.
Resources
Every other property we hold for Complutense University of Madrid — 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.
Get Started 1
Portal, sign-up, and the first successful call
Documentation 2
Reference material describing how the API behaves
Design & Contract 2
Pagination, idempotency, versioning, errors, and events
Build 3
SDKs, sample code, and the tooling you integrate with
Access & Security 1
Authentication, authorization, and security posture
Operate 1
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 5
Properties that don't map to a standard resource type
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This is an independent, third-party profile of Complutense University of Madrid, 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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