Queen's University at Kingston
Queen's University at Kingston is a public research university in Kingston, Ontario, Canada, serving more than 25,000 students and ranked #193 in the QS World University Rankings 2025. Its public developer footprint centers on Qmulus, a community open-data API exposing Queen's datasets (courses, buildings, textbooks and more), alongside library and research-data infrastructure: the QSpace institutional repository (DSpace, with REST and OAI-PMH interfaces) and the Queen's University Dataverse hosted on the Canadian Borealis repository (Dataverse native REST plus OAI-PMH). Most of these surfaces are open or community-run rather than a single official university developer portal.
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 Queen's University at Kingston the way a machine reads it — 52 machine-readable artifacts across 38 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 — Queen's University at Kingston scores 37.0/100 (thin), with a separate agent-readiness read of 39/100 (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 Queen's University at Kingston
Each block below is one kind of artifact we hold for Queen's University at Kingston. 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 38
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.
Qmulus Open Data API
Qmulus is a community-run open-data REST API providing access to Queen's University datasets (such as courses, buildings, and textbooks). Access requires an API token; token reg...
QSpace Repository API (DSpace)
QSpace is Queen's University Library's open-access institutional repository built on DSpace, hosting theses, dissertations, and peer-reviewed scholarship. It exposes a DSpace RE...
Queen's University at Kingston Access API
The Access API from Queen's University at Kingston — 23 operation(s) for access.
Queen's University at Kingston addFilesToDataset API
Uploads a set of files to a dataset
Queen's University at Kingston addFileToDataset API
Uploads a file for a dataset
Queen's University at Kingston addGlobusFilesToDataset API
Uploads a Globus file for a dataset
Queen's University at Kingston Admin API
The Admin API from Queen's University at Kingston — 131 operation(s) for admin.
Queen's University at Kingston Batch API
The Batch API from Queen's University at Kingston — 3 operation(s) for batch.
Queen's University at Kingston Builtin Users API
The Builtin Users API from Queen's University at Kingston — 4 operation(s) for builtin users.
Queen's University at Kingston Datasetfields API
The Datasetfields API from Queen's University at Kingston — 1 operation(s) for datasetfields.
Queen's University at Kingston Datasets API
The Datasets API from Queen's University at Kingston — 94 operation(s) for datasets.
Queen's University at Kingston Datatags API
The Datatags API from Queen's University at Kingston — 1 operation(s) for datatags.
Queen's University at Kingston DataverseFeaturedItems API
The DataverseFeaturedItems API from Queen's University at Kingston — 1 operation(s) for dataversefeatureditems.
Queen's University at Kingston Dataverses API
The Dataverses API from Queen's University at Kingston — 40 operation(s) for dataverses.
Queen's University at Kingston Edit API
The Edit API from Queen's University at Kingston — 1 operation(s) for edit.
Queen's University at Kingston ExternalTools API
The ExternalTools API from Queen's University at Kingston — 2 operation(s) for externaltools.
Queen's University at Kingston Files API
The Files API from Queen's University at Kingston — 21 operation(s) for files.
Queen's University at Kingston Harvest API
The Harvest API from Queen's University at Kingston — 7 operation(s) for harvest.
Queen's University at Kingston Inbox API
The Inbox API from Queen's University at Kingston — 1 operation(s) for inbox.
Queen's University at Kingston Info API
The Info API from Queen's University at Kingston — 51 operation(s) for info.
Queen's University at Kingston Ingest API
The Ingest API from Queen's University at Kingston — 1 operation(s) for ingest.
Queen's University at Kingston Licenses API
The Licenses API from Queen's University at Kingston — 6 operation(s) for licenses.
Queen's University at Kingston Localcontexts API
The Localcontexts API from Queen's University at Kingston — 2 operation(s) for localcontexts.
Queen's University at Kingston Logout API
The Logout API from Queen's University at Kingston — 1 operation(s) for logout.
Queen's University at Kingston Mail API
The Mail API from Queen's University at Kingston — 1 operation(s) for mail.
Queen's University at Kingston Meta API
The Meta API from Queen's University at Kingston — 2 operation(s) for meta.
Queen's University at Kingston Metadatablocks API
The Metadatablocks API from Queen's University at Kingston — 2 operation(s) for metadatablocks.
Queen's University at Kingston Mydata API
The Mydata API from Queen's University at Kingston — 2 operation(s) for mydata.
Queen's University at Kingston Notifications API
The Notifications API from Queen's University at Kingston — 8 operation(s) for notifications.
Queen's University at Kingston Pids API
The Pids API from Queen's University at Kingston — 6 operation(s) for pids.
Queen's University at Kingston replaceFilesInDataset API
Replace a file to a dataset
Queen's University at Kingston Roles API
The Roles API from Queen's University at Kingston — 3 operation(s) for roles.
Queen's University at Kingston saveAuxiliaryFileWithVersion API
Save Auxiliary File With Version
Queen's University at Kingston Search API
The Search API from Queen's University at Kingston — 2 operation(s) for search.
Queen's University at Kingston Sendfeedback API
The Sendfeedback API from Queen's University at Kingston — 1 operation(s) for sendfeedback.
Queen's University at Kingston uploadDatasetLogo API
Uploads a logo for a dataset
Queen's University at Kingston Users API
The Users API from Queen's University at Kingston — 10 operation(s) for users.
Queen's University at Kingston Workflows API
The Workflows API from Queen's University at Kingston — 1 operation(s) for workflows.
Scroll within the panel for all 38 ·
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.
Queens University At Kingston 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.
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.
Dataverse Collection
JSON SCHEMADataverse API Response Envelope
JSON SCHEMAJSON Structure 1
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.
Queens University At Kingston Dataverse Structure
JSON STRUCTUREExamples 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.
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.
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.
Queens University At Kingston Agentic Access
548 operations · 262 acting · 7 human-in-the-loop
AGENTICResources
Every other property we hold for Queen's University at Kingston — 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
Access & Security 1
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 3
The organization behind the API
Other 1
Properties that don't map to a standard resource type
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