University of Michigan-Ann Arbor
The University of Michigan-Ann Arbor is a public research university ranked #21 in the QS World University Rankings 2025 (United States). Its developer and API footprint is led by U-M Information and Technology Services (ITS), which operates an enterprise API Directory built on Apigee X that exposes institutional data APIs to authenticated U-M members behind uniqname, Duo two-factor, and campus-network/VPN access. The University of Michigan Library publishes public scholarly and research-data infrastructure, including the Deep Blue Data REST API and a live DSpace OAI-PMH metadata endpoint for the Deep Blue Documents institutional repository, and runs Ex Libris Alma/Primo for library services. Open-source code is published across several GitHub organizations including @umich and @mlibrary.
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 University of Michigan-Ann Arbor the way a machine reads it — 8 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 — University of Michigan-Ann Arbor scores 27.7/100 (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.
How we profile University of Michigan-Ann Arbor
Each block below is one kind of artifact we hold for University of Michigan-Ann Arbor. 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.
U-M ITS API Directory
Enterprise API directory and gateway operated by U-M Information and Technology Services on Apigee X, providing access to institutional data APIs spanning teaching & learning, r...
Deep Blue Data REST API
Public REST API for Deep Blue Data, the University of Michigan Library's open repository for sharing and archiving research datasets generated by U-M researchers. Provides progr...
Deep Blue Documents OAI-PMH
Live OAI-PMH metadata harvesting endpoint for Deep Blue Documents, the University of Michigan Library's DSpace institutional repository of articles, dissertations, theses, and o...
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.
University Of Michigan Ann Arbor 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 University of Michigan-Ann Arbor — 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
Design & Contract 1
Pagination, idempotency, versioning, errors, and events
Build 2
SDKs, sample code, and the tooling you integrate with
Access & Security 2
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 4
The organization behind the API
Other 1
Properties that don't map to a standard resource type
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