Carnegie Mellon University
Carnegie Mellon University is a private research university in Pittsburgh, Pennsylvania, ranked 49th in the QS World University Rankings. It operates no central developer portal, no API gateway and no institution-wide developer program — api.cmu.edu and data.cmu.edu do not exist as developer surfaces — but unlike most of this cohort it does genuinely engineer public APIs, in three unrelated units that share no identifier, envelope or error model. The Delphi research group runs the Delphi Epidata API for real-time epidemiological surveillance; the CERT Coordination Center at the Software Engineering Institute runs the Vulnerability Notes API, the machine-readable record of coordinated vulnerability disclosure; and University Libraries self-hosts the Library Publishing Service, five open-access journals behind a REST API and a conformant OAI-PMH 2.0 provider on CMU's own hardware. None of the three publishes an OpenAPI, a changelog on the API host, a status page or a deprecation policy, and both research APIs return errors with HTTP 200. Everything else that carries CMU's name is a tenancy: KiltHub is figshare, Canvas is Instructure, and the eleven figshare-derived contracts this profile held until 2026-08-19 were a vendor's engineering credited to the university.
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 Carnegie Mellon University the way a machine reads it — 34 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 — Carnegie Mellon University scores 42.4/100 (developing), with a separate agent-readiness read of 32/100 (agent ready). 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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How we profile Carnegie Mellon University
Each block below is one kind of artifact we hold for Carnegie Mellon 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 16
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.
CMU Web Login (Shibboleth SAML 2.0 Identity Provider)
Carnegie Mellon's campus-wide single sign-on identity provider, running Shibboleth on CMU's own host and address space (login.cmu.edu, 128.2.42.22). Its SAML 2.0 metadata is pub...
KiltHub Institutional Repository (figshare) — tenant
KiltHub is Carnegie Mellon's institutional repository for research data and scholarly output. The data, the collections and the DOIs are CMU's; the platform, the API and the OAI...
Canvas LTI 1.3 Advantage (Instructure) — tenant
CMU's learning management system serves an LTI 1.3 / LTI Advantage JWKS at canvas.cmu.edu/api/lti/security/jwks, so the LTI standard is genuinely in play in CMU's teaching envir...
CMU Eats API (ScottyLabs) — student-operated
A public JSON API for Carnegie Mellon dining locations, hours and menus, built and run by ScottyLabs, a CMU student organization, at api.cmueats.com. It exists because CMU's own...
Carnegie Mellon University Articles API
Published articles.
Carnegie Mellon University Covidcast API
COVIDcast real-time indicator signals across geographies.
Carnegie Mellon University Feeds API
Syndication.
Carnegie Mellon University Fluview API
US ILINet influenza-like-illness surveillance (CDC FluView).
Carnegie Mellon University Forecasts API
Delphi's own nowcasts and forecasts.
Carnegie Mellon University Issues API
Issues within a journal.
Carnegie Mellon University Journals API
The journals CMU Libraries publishes.
Carnegie Mellon University Meta API
Service metadata and version.
Carnegie Mellon University Notes API
Vulnerability Notes.
Carnegie Mellon University Oai Pmh API
OAI-PMH 2.0 metadata harvesting provider.
Carnegie Mellon University Preprints API
Preprint repository objects.
Carnegie Mellon University Vendors API
Per-vendor coordination status.
Scroll within the panel for all 16 ·
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.
Carnegie Mellon University 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.
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.
Carnegie Mellon University API Rules
SPECTRALCarnegie Mellon 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.
CERT/CC Vulnerability Note
JSON SCHEMADelphi Epidata response envelope
JSON SCHEMAExamples 6
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 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.
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.
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 Carnegie Mellon 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 3
Reference material describing how the API behaves
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 7
Pagination, idempotency, versioning, errors, and events
Scroll within the panel for all 7 ·
Build 7
SDKs, sample code, and the tooling you integrate with
Scroll within the panel for all 7 ·
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 5
Pricing, plans, and the legal terms of use
Company 4
The organization behind the API
Other 7
Properties that don't map to a standard resource type
Scroll within the panel for all 7 ·
← All providers · Data indexed from github.com/api-evangelist/carnegie-mellon-university · machine-readable index on apis.io
This is an independent, third-party profile of Carnegie Mellon 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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