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Technical University of Munich

The Technical University of Munich (TUM) is a public technical research university in Munich, Germany, and one of Germany's eleven Universities of Excellence. Its programmable footprint is real but small, and almost none of it comes from a central IT developer program: TUM operates no public developer portal, publishes no API terms of service, and lists no API on www.tum.de. What it does operate, verified live on 2026-08-19, is four machine-readable surfaces. Two are OpenAPI contracts built and run by Open Source @ TUM e.V. (TUM-Dev), a TUM-affiliated association: the TUM Campus App backend at api.tum.app (19 operations, Swagger 2.0 generated from tumdev/campus_backend.proto, also served over gRPC at api-grpc.tum.app, listed by TUM IT as an official TUM mobile app), and NavigaTUM at nav.tum.de (room, building and campus navigation, taken into productive operation by TUM as the official room finder). The other two are the surfaces a university operates by definition and rarely catalogues: a SAML 2.0 / Shibboleth identity provider publishing DFN-AAI-registered metadata at login.tum.de with SIRTFI2 assurance, and an OAI-PMH 2.0 endpoint on mediaTUM, TUM's own institutional repository, harvestable back to 1959. Everything else is a tenant relationship on someone else's platform: the student information system TUMonline runs CAMPUSonline on campus.tum.de (live unauthenticated course REST plus a full OIDC discovery document with 108 scopes), the research information system TUMFIS runs Elsevier Pure, and the canteen menu API eat-api is static JSON on GitHub Pages carrying Studierendenwerk data. No open data portal exists: data.tum.de and opendata.tum.de do not resolve.

agent aware

Limited machine-readable signal and partial portal coverage — documentation a human can read, but little a machine or agent can consume without scraping.

Kin Score

API Evangelist profiles Technical University of Munich the way a machine reads it — 33 machine-readable artifacts across 4 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 — Technical University of Munich scores 36.0/100 (thin), with a separate agent-readiness read of 20/100 (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
Technical University of Munich Kin Score — API readiness rating by API Evangelist

Put this on your own site. The badge is drawn live from Technical University of Munich'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/tum/"
   title="Technical University of Munich on API Evangelist — API profile and Kin Score">
  <img src="https://apis.io/badge/tum.svg"
       alt="Technical University of Munich 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 Technical University of Munich

Each block below is one kind of artifact we hold for Technical University of Munich. 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.

NavigaTUM

Search and navigation API for TUM rooms, buildings and places — a Rust service over MeiliSearch, fully unauthenticated, documented with an OpenAPI 3 contract served live at http...

mediaTUM OAI-PMH Repository Interface

OAI-PMH 2.0 harvesting interface over TUM's institutional repository. Verified verbs Identify, ListMetadataFormats and ListSets all answer 200. Metadata prefixes: oai_dc, epicur...

TUM Shibboleth Identity Provider (SAML 2.0 Metadata)

Machine-readable SAML 2.0 identity provider metadata — an EntityDescriptor with an IDPSSODescriptor supporting urn:oasis:names:tc:SAML:2.0:protocol, registered in DFN-AAI since ...

TUMonline (CAMPUSonline) — Course Catalog and Identity

TUM's student information system of record, running CAMPUSonline. Two machine-readable surfaces were verified live and unauthenticated on 2026-08-19: a hypermedia course catalog...

eat-api — Munich Student Canteen Menus

Static JSON API for Munich student canteen menus, prices, dish labels and opening hours, regenerated on a schedule and served as flat files from GitHub Pages. Two OpenAPI files ...

Technical University of Munich Campus API

The Campus API from Technical University of Munich — 19 operation(s) for campus.

Open Collections 9

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).

Scroll within the panel for all 9 ·

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.

Tum Plans Pricing

2 plans

PLANS

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.

Tum Rate Limits

1 limits

RATE LIMITS

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.

Tum Finops

FINOPS

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.

Tum Context

40 classes · 0 properties

JSON-LD

Spectral 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.

Technical University of Munich API Rules

6 rules · 5 warnings

SPECTRAL

Technical University of Munich API Rules

5 rules · 1 errors · 4 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.

eat-api CanteenMenu

6 properties

JSON SCHEMA

NavigaTUM SearchResponse

2 properties

JSON SCHEMA

JSON 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.

Tum Canteen Menu Structure

3 properties

JSON STRUCTURE

Tum Search Response Structure

2 properties

JSON STRUCTURE

Examples 3

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.

Tum Canteen Menu Example

2 fields

EXAMPLE

Tum Canteens Enum Example

2 fields

EXAMPLE

Tum Search Example

2 fields

EXAMPLE

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.

Tum Authentication

0 schemes

SECURITY

Tum Domain Security

TLSv1.3 · HSTS · DNSSEC · DMARC

SECURITY

Tum Vulnerability Disclosure

security.txt · contact published

SECURITY

Scopes 1

OAuth scopes are the vocabulary of least-privilege access. Profiling them shows exactly what an integration — or an agent acting on a user's behalf — is allowed to do.

OAuth scopes governing access to this provider's APIs.

Tum Scopes

108 scopes

108 scopes

SCOPES

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.

Tum Agentic Access

19 operations · 4 acting

19 operations · 4 acting

AGENTIC

Resources

Every other property we hold for Technical University of Munich — 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.

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

Build 2

SDKs, sample code, and the tooling you integrate with

Learn 1

Tutorials, courses, talks, and written guidance

Operate 2

Status, limits, changes, and where to get help

Company 3

The organization behind the API

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

Where this information came from

This is an independent, third-party profile of Technical University of Munich, 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.