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King's College London

King's College London (KCL) is a public research university in London, United Kingdom, ranked #41 in the QS World University Rankings 2025. Like most research universities, King's does not operate a centralized public developer portal; its machine-readable footprint is concentrated in research and library infrastructure. The King's Research Portal (Pure) exposes a live OAI-PMH metadata interface, and the King's research data repository is hosted on Figshare, which provides a public REST API and OAI-PMH endpoint. King's also runs an e-Research group with a large public GitHub organization.

agent ready

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.

Kin Score

API Evangelist profiles King's College London the way a machine reads it — 27 machine-readable artifacts across 11 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 — King's College London scores 49.5/100 (developing), 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.

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 49.5/100 · developing
Contract Quality 15.5 / 25
Developer Ergonomics 4.3 / 20
Commercial Clarity 5.8 / 20
Operational Transparency 3.4 / 13
Governance 8.8 / 12
Discoverability 10.0 / 10
Regulatory · Government & Public Sector 8.8 / 15
Agent readiness — 48/100 · agent ready
Machine-Readable Contract 18 / 18
Agentic Access Contract 15 / 15
MCP Server 0 / 12
Machine-Readable Auth 10 / 10
Idempotency 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 7 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3

How we profile King's College London

Each block below is one kind of artifact we hold for King's College London. 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 11

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.

King's Research Portal (Pure) OAI-PMH

OAI-PMH metadata harvesting interface for the King's Research Portal, the front end of Pure, King's research information system and institutional repository. The interface retur...

King's College London altmetric API

The altmetric API from King's College London — 1 operation(s) for altmetric.

King's College London articles API

The articles API from King's College London — 34 operation(s) for articles.

King's College London authors API

The authors API from King's College London — 2 operation(s) for authors.

King's College London collections API

The collections API from King's College London — 21 operation(s) for collections.

King's College London institutions API

The institutions API from King's College London — 20 operation(s) for institutions.

King's College London oauth API

The oauth API from King's College London — 1 operation(s) for oauth.

King's College London other API

The other API from King's College London — 7 operation(s) for other.

King's College London profiles API

The profiles API from King's College London — 2 operation(s) for profiles.

King's College London projects API

The projects API from King's College London — 17 operation(s) for projects.

King's College London symplectic API

The symplectic API from King's College London — 5 operation(s) for symplectic.

Scroll within the panel for all 11 ·

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.

FinOps 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.

Kings College London Context

4 classes · 4 properties

JSON-LD

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.

King's College London API Rules

5 rules · 4 warnings

SPECTRAL

King's College London API Rules

6 rules · 5 warnings

SPECTRAL

JSON 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.

Figshare Article

18 properties

JSON SCHEMA

Figshare Author

7 properties

JSON SCHEMA

Figshare Collection

6 properties

JSON SCHEMA

JSON 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.

Kings College London Article Structure

15 properties

JSON STRUCTURE

Kings College London Collection Structure

6 properties

JSON STRUCTURE

Examples 1

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.

Kings College London Authentication

oauth2 · 1 scheme

SECURITY

Kings College London Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

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.

Kings College London Scopes

1 scope · authorizationCode

1 scopes

SCOPES

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.

Kings College London Agentic Access

157 operations · 81 acting · 2 human-in-the-loop

157 operations · 81 acting

AGENTIC

Resources

Every other property we hold for King's College London — 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

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Build 1

SDKs, sample code, and the tooling you integrate with

Access & Security 3

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

← All providers · Data indexed from github.com/api-evangelist/kings-college-london · machine-readable index on apis.io