University of Edinburgh
The University of Edinburgh is a public research university in Scotland, United Kingdom, founded in 1582 and ranked #20 in the QS World University Rankings 2025. Its public developer/API footprint is centred on open research infrastructure: the Edinburgh DataShare research-data repository (a DSpace instance exposing a public REST API and OAI-PMH endpoint) and Edinburgh Research Explorer / Pure (research information system with a public OAI-PMH harvesting endpoint; SOAP/REST web services are gated). The University also runs an internal Enterprise APIs programme (Student Records, Timetabling, Staff) that is documented behind SSO and not publicly accessible.
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 University of Edinburgh the way a machine reads it — 26 machine-readable artifacts across 10 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 Edinburgh scores 43.3/100 (thin), with a separate agent-readiness read of 48/100 (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.
How we profile University of Edinburgh
Each block below is one kind of artifact we hold for University of Edinburgh. 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 10
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.
Edinburgh DataShare OAI-PMH
Public OAI-PMH metadata harvesting endpoint for Edinburgh DataShare, exposing Dublin Core and other metadata formats for the University's research-data repository.
Edinburgh Research Explorer (Pure) OAI-PMH
Public OAI-PMH endpoint for the University's Pure research information system, surfaced publicly via Edinburgh Research Explorer. Supports harvesting of research-output metadata...
Enterprise APIs Programme (gated)
The University's internal Enterprise APIs programme delivers Student Records, Timetabling and Staff APIs to support service integration. Documentation sits behind University SSO...
University of Edinburgh Bitstreams API
Binary files attached to items
University of Edinburgh Collections API
Collections of items
University of Edinburgh Communities API
Top-level and nested communities
University of Edinburgh Hierarchy API
Community/collection tree
University of Edinburgh Items API
Repository items and their metadata/bitstreams
University of Edinburgh Registries API
Metadata schema and field registry
University of Edinburgh Status API
Service status
Scroll within the panel for all 10 ·
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 Edinburgh 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.
University of Edinburgh API Rules
SPECTRALUniversity of Edinburgh API Rules
SPECTRALJSON Schema 4
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.
Edinburgh DataShare Bitstream
JSON SCHEMAEdinburgh DataShare Collection
JSON SCHEMAEdinburgh DataShare Community
JSON SCHEMAEdinburgh DataShare Item
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.
University Of Edinburgh Community Structure
JSON STRUCTUREUniversity Of Edinburgh Item 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 University of Edinburgh — 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 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 2
The organization behind the API
Other 1
Properties that don't map to a standard resource type
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