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Taylor & Francis

Taylor & Francis Group is a British academic publisher offering REST APIs for searching and accessing journal articles, books, metadata, and bibliographic records from over 2,700 Taylor & Francis and Routledge publications. Their API surfaces include content download APIs for books and chapters, KBART holdings automation for library systems, COUNTER 5 SUSHI usage reporting, and text and data mining access for institutional subscribers across humanities, social sciences, science, technology, and medicine.

agent aware

Limited machine-readable signal and partial portal coverage — documentation a human can read, but little a machine or agent can consume without scraping.

Kin Score

API Evangelist profiles Taylor & Francis the way a machine reads it — 8 machine-readable artifacts across 4 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 — Taylor & Francis scores 31.9/100 (thin), 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.

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 31.9/100 · thin
Contract Quality 0.0 / 25
Developer Ergonomics 7.0 / 20
Commercial Clarity 12.1 / 20
Operational Transparency 4.1 / 13
Governance 0.0 / 12
Discoverability 8.8 / 10
Agent readiness — 16/100 · agent aware
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 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 Taylor & Francis

Each block below is one kind of artifact we hold for Taylor & Francis. 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 4

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.

Taylor & Francis Content API

The Taylor & Francis Content API provides programmatic access to eBook and chapter downloads from the taylorfrancis.com platform. Using DOI-based identifiers, institutional subs...

Taylor & Francis KBART Holdings API

The Taylor & Francis KBART Holdings API enables library management systems to automatically retrieve and synchronise institutional journal and eBook entitlements. Librarians gen...

Taylor & Francis SUSHI / COUNTER 5 API

Taylor & Francis Online supports automated harvesting of COUNTER Release 5 usage statistics via the SUSHI protocol. Institutional library administrators can retrieve Title, Data...

Taylor & Francis Text and Data Mining API

Taylor & Francis provides API-based text and data mining access to subscribed and open-access content for non-commercial research purposes. Institutions notify Taylor & Francis ...

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.

Taylor Francis Rate Limits

5 limits

RATE LIMITS

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.

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.

Taylor Francis Domain Security

TLSv1.3 · HSTS · DNSSEC · DMARC

SECURITY

Resources

Every other property we hold for Taylor & Francis — 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 2

Portal, sign-up, and the first successful call

Access & Security 2

Authentication, authorization, and security posture

Operate 2

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/taylor-francis · machine-readable index on apis.io