Université de Montréal
Université de Montréal (UdeM) is a leading French-language public research university in Montréal, Québec, Canada, ranked #95 in the QS World University Rankings 2025. Its public, machine-readable developer footprint is modest and research/library oriented rather than a centralized developer portal: the SADVR REST API (Service d'accès aux données de la Vitrine-Recherche) exposes research expertise and unit data, the Papyrus institutional repository offers a live OAI-PMH metadata endpoint, and UdeM participates in the Borealis Canadian Dataverse for research data. There is no single unified, branded developer portal; integration surfaces are distributed across library and research infrastructure.
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 Université de Montréal the way a machine reads it — 53 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 — Université de Montréal scores 35.0/100 (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.
Kin Score
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile Université de Montréal
Each block below is one kind of artifact we hold for Université de Montréal. 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.
SADVR REST API (Vitrine-Recherche)
REST API from the Service d'accès aux données de la Vitrine-Recherche, redistributing UdeM research data. Provides five JSON services: resource value exposure (faculties, depart...
Papyrus OAI-PMH Endpoint
OAI-PMH 2.0 metadata harvesting endpoint for Papyrus, the UdeM institutional repository (a DSpace/Scholaris platform). Exposes open-access theses, dissertations, and scholarly o...
Université de Montréal Access API
The Access API from Université de Montréal — 23 operation(s) for access.
Université de Montréal addFilesToDataset API
Uploads a set of files to a dataset
Université de Montréal addFileToDataset API
Uploads a file for a dataset
Université de Montréal addGlobusFilesToDataset API
Uploads a Globus file for a dataset
Université de Montréal Admin API
The Admin API from Université de Montréal — 131 operation(s) for admin.
Université de Montréal Batch API
The Batch API from Université de Montréal — 3 operation(s) for batch.
Université de Montréal Builtin Users API
The Builtin Users API from Université de Montréal — 4 operation(s) for builtin users.
Université de Montréal Datasetfields API
The Datasetfields API from Université de Montréal — 1 operation(s) for datasetfields.
Université de Montréal Datasets API
The Datasets API from Université de Montréal — 94 operation(s) for datasets.
Université de Montréal Datatags API
The Datatags API from Université de Montréal — 1 operation(s) for datatags.
Université de Montréal DataverseFeaturedItems API
The DataverseFeaturedItems API from Université de Montréal — 1 operation(s) for dataversefeatureditems.
Université de Montréal Dataverses API
The Dataverses API from Université de Montréal — 40 operation(s) for dataverses.
Université de Montréal Edit API
The Edit API from Université de Montréal — 1 operation(s) for edit.
Université de Montréal ExternalTools API
The ExternalTools API from Université de Montréal — 2 operation(s) for externaltools.
Université de Montréal Files API
The Files API from Université de Montréal — 21 operation(s) for files.
Université de Montréal Harvest API
The Harvest API from Université de Montréal — 7 operation(s) for harvest.
Université de Montréal Inbox API
The Inbox API from Université de Montréal — 1 operation(s) for inbox.
Université de Montréal Info API
The Info API from Université de Montréal — 51 operation(s) for info.
Université de Montréal Ingest API
The Ingest API from Université de Montréal — 1 operation(s) for ingest.
Université de Montréal Licenses API
The Licenses API from Université de Montréal — 6 operation(s) for licenses.
Université de Montréal Localcontexts API
The Localcontexts API from Université de Montréal — 2 operation(s) for localcontexts.
Université de Montréal Logout API
The Logout API from Université de Montréal — 1 operation(s) for logout.
Université de Montréal Mail API
The Mail API from Université de Montréal — 1 operation(s) for mail.
Université de Montréal Meta API
The Meta API from Université de Montréal — 2 operation(s) for meta.
Université de Montréal Metadatablocks API
The Metadatablocks API from Université de Montréal — 2 operation(s) for metadatablocks.
Université de Montréal Mydata API
The Mydata API from Université de Montréal — 2 operation(s) for mydata.
Université de Montréal Notifications API
The Notifications API from Université de Montréal — 8 operation(s) for notifications.
Université de Montréal Pids API
The Pids API from Université de Montréal — 6 operation(s) for pids.
Université de Montréal replaceFilesInDataset API
Replace a file to a dataset
Université de Montréal Roles API
The Roles API from Université de Montréal — 3 operation(s) for roles.
Université de Montréal saveAuxiliaryFileWithVersion API
Save Auxiliary File With Version
Université de Montréal Search API
The Search API from Université de Montréal — 2 operation(s) for search.
Université de Montréal Sendfeedback API
The Sendfeedback API from Université de Montréal — 1 operation(s) for sendfeedback.
Université de Montréal uploadDatasetLogo API
Uploads a logo for a dataset
Université de Montréal Users API
The Users API from Université de Montréal — 10 operation(s) for users.
Université de Montréal Workflows API
The Workflows API from Université de Montréal — 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.
Universite De Montreal 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.
Université de Montréal API Rules
SPECTRALUniversité de Montréal API Rules
SPECTRALJSON Schema 3
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.
Borealis Dataverse DataFile
JSON SCHEMABorealis Dataverse Dataset
JSON SCHEMABorealis Dataverse Collection
JSON SCHEMAJSON 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.
Universite De Montreal Dataset Structure
JSON STRUCTUREUniversite De Montreal Dataverse Structure
JSON STRUCTUREExamples 2
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.
Resources
Every other property we hold for Université de Montréal — 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 1
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 2
The organization behind the API
Other 1
Properties that don't map to a standard resource type
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