Dimensions

Dimensions is a research data platform from Digital Science providing access to publications, grants, patents, clinical trials, datasets, and policy documents. The Dimensions Analytics API offers programmatic access to this research data via the Dimensions Search Language (DSL), enabling citation analysis, researcher discovery, organization benchmarking, and topic identification. The API is subscription-only and is not intended for bulk data extraction or to power dashboards or other derivative products.

Dimensions publishes 2 APIs on the APIs.io network: Authentication API and Query API. Tagged areas include Analytics, Research, Publications, Grants, and Patents.

Dimensions’ developer surface includes authentication, documentation, support, engineering blog, API reference, getting-started guide, changelog, and 30 more developer resources.

🌐 Visit website 📡 Source on GitHub

51.3/100 developing ▬ flat Agent 39/100 agent ready self hosted · MIT Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0

AccessFreemiumSelf serve⚡ Free to try

1 APIs 1 MCP Servers

Analytics Research Publications Grants Patents Clinical TrialsJupyter NotebooksScientometricsBibliometricsResearch IntelligenceDatasetsPolicy DocumentsMCP

Kin Score

Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0

Composite quality — 51.3/100 · developing

Contract Quality 7.7 / 16

Developer Ergonomics 8.3 / 13

Access Clarity 4.6 / 13

Operational Transparency 5.3 / 8

Contract Governance 1.4 / 8

Discoverability 4.5 / 7

Regulatory Posture 9.5 / 15

Open Source Surface 2.5 / 10

Create-or-Update Ergonomics 0.0 / 10

Agent readiness — 39/100 · agent ready

Machine-Readable Contract 18 / 18

Agentic Access Contract 10 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 8 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 7 / 7

Typed Event Surface 0 / 6

Agent Skills 5 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 6 / 6

Protected Resource Metadata 5 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Regulatory Posture applies to this provider. Its tags matched the Insurance regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

Open Source Surface applies to this provider. This product is open source and we read its repository directly, so Open Source Surface carries 10 points of the composite. It is scored from what the repository actually publishes — a security policy, a contribution guide, a release history, a code of conduct — read live from the provider rather than inferred from our own catalog pointers. This facet adds; nothing was taken away to make room for it. An open-source project is not excused from the commercial facets, because exemption would strip it of the points it does earn. If we have the wrong repository, or this product is not open source, say so on your provider repo and we will drop the facet rather than have you publish against it.

Create-or-Update Ergonomics applies to this provider. This API accepts writes, so it carries 10 points of the composite. It is scored from the published contracts themselves: whether a caller can create-or-update in one call, whether the write accepts a key the caller already holds, and whether the response says which branch ran. Without that, every write needs a search-and-branch in front of it, and the first time that check is skipped a duplicate record is created. Scored against the observed mean rather than raw — a provider at the catalog average is unchanged by this facet, not penalised by it.

The six quality facets above are damped to 65 points between them, because both conditional facets apply and carry 35 points together. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 65% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from github.com/api-evangelist/dimensions: open an issue to ask a question, or submit a pull request to add artifacts. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

APIs 3

Individual APIs this provider publishes, each with its own machine-readable definition.

Dimensions Analytics API

The Dimensions Analytics API provides programmatic access to the Dimensions research data platform via the Dimensions Search Language (DSL). It supports queries against publicat...

Dimensions Authentication API

The Authentication API from Dimensions — 1 operation(s) for authentication.

Dimensions Query API

The Query API from Dimensions — 1 operation(s) for query.

Open Collections 4

Open, tool-agnostic API collections (OpenAPI-derived and Bruno).

API Collection

OPEN COLLECTION

Dimensions Analytics Authentication API

OPEN COLLECTION

Dimensions Analytics Authentication Query API

OPEN COLLECTION

Dimensions Analytics API

OPEN COLLECTION

MCP Servers 1

Model Context Protocol servers that expose these APIs to AI agents.

Dimensions MCP Server

Digital Science publishes first-party MCP servers for Dimensions. The flagship is the Dimensions Analytics MCP — an open-source (MIT) local stdio server on npm that exposes 27 t...

MCP SERVER

Pricing Plans 1

Published pricing tiers and plan structures.

Dimensions Plans Pricing

0 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Dimensions Rate Limits

1 limits

RATE LIMITS

FinOps 1

Cost, billing, and metering signals for API financial operations.

Dimensions Finops

FINOPS

Security Posture 2

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Dimensions Authentication

apiKey/oauth2 · 2 schemes

SECURITY

Dimensions Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Scopes 1

OAuth scopes governing access to this provider's APIs.

Dimensions Scopes

OAuth 2.0 · no documented scopes

0 scopes

SCOPES

Agentic Access 1

Recommended x-agentic-access execution contracts for AI agents.

Dimensions Agentic Access

2 operations · 2 acting

AGENTIC

Resources

Get Started 2

Portal, sign-up, and the first successful call

GettingStarted

GettingStarted

Login

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 5

MCP servers, agent skills, and machine-readable catalogs

AgenticAccess

MCPServer

AgentSkill

LLMsTxt

WellKnown

Design & Contract 6

Pagination, idempotency, versioning, errors, and events

Lifecycle

Components

Conventions

ErrorCatalog

Conformance

DataModel

Build 5

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

Packages

SDKs

CLI

ToolCrosswalk

Access & Security 3

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Authentication

Authentication

OAuthScopes

OAuthScopes

Operate 7

Status, limits, changes, and where to get help

IssueTracker

Releases

Support

StatusPage

Deprecation

ChangeLog

RateLimits

Scroll for all 7

Commercial 5

Pricing, plans, and the legal terms of use

License

TermsOfService

PrivacyPolicy

Plans

FinOps

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

aid: dimensions
name: Dimensions
url: https://raw.githubusercontent.com/api-evangelist/dimensions/refs/heads/main/apis.yml
description: Dimensions is a research data platform from Digital Science providing access to publications, grants, patents,
  clinical trials, datasets, and policy documents. The Dimensions Analytics API offers programmatic access to this research
  data via the Dimensions Search Language (DSL), enabling citation analysis, researcher discovery, organization benchmarking,
  and topic identification. The API is subscription-only and is not intended for bulk data extraction or to power dashboards
  or other derivative products.
deliveryModel:
  model: self-hosted
  license: MIT
  open_source: true
  commercial: false
  callable_host: true
  label: Self-hosted open source · you run it yourself
  confidence: high
  source:
  - license
  - openapi
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: freemium
  onboarding: self-serve
  trial: false
  try_now: true
  public: false
  label: Freemium · Self-serve signup
  confidence: medium
  source:
  - plans
  - authentication
  - security
  generated: '2026-09-03'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/dimensions.png
type: Index
position: Consuming
access: 3rd-Party
tags:
- Analytics
- Research
- Publications
- Grants
- Patents
- Clinical Trials
- Jupyter Notebooks
- Scientometrics
- Bibliometrics
- Research Intelligence
- Datasets
- Policy Documents
- MCP
created: '2025-02-06'
modified: '2026-09-06'
specificationVersion: '0.23'
apis:
- aid: dimensions:dimensions-analytics-api
  name: Dimensions Analytics API
  description: The Dimensions Analytics API provides programmatic access to the Dimensions research data platform via the
    Dimensions Search Language (DSL). It supports queries against publications, grants, patents, clinical trials, datasets,
    organizations, and researchers. Authentication uses an API key exchanged for a JWT token via POST to /api/auth, with query
    requests sent to /api/dsl/v2 carrying the JWT in the Authorization header. The API is subscription-only and rate limited
    to 30 requests per IP per minute.
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://docs.dimensions.ai/dsl/
  baseURL: https://app.dimensions.ai/api
  tags:
  - Analytics
  - Research
  - Publications
  - Grants
  - Patents
  - Clinical Trials
  properties:
  - type: Documentation
    url: https://docs.dimensions.ai/dsl/
  - type: API Access
    url: https://docs.dimensions.ai/dsl/api.html
  - type: DSL Reference
    url: https://docs.dimensions.ai/dsl/language.html
  - type: API Lab
    url: https://api-lab.dimensions.ai/
  - type: SourceCode
    url: https://github.com/digital-science/dimcli
- aid: dimensions:dimensions-authentication-api
  name: Dimensions Authentication API
  description: The Authentication API from Dimensions — 1 operation(s) for authentication.
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://docs.dimensions.ai/dsl/
  baseURL: https://app.dimensions.ai/api
  tags:
  - Authentication
  properties:
  - type: OpenAPI
    url: openapi/dimensions-authentication-api-openapi.yml
  - type: Overlay
    url: overlays/dimensions-authentication-api-overlay.yaml
- aid: dimensions:dimensions-query-api
  name: Dimensions Query API
  description: The Query API from Dimensions — 1 operation(s) for query.
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://docs.dimensions.ai/dsl/
  baseURL: https://app.dimensions.ai/api
  tags:
  - Query
  properties:
  - type: OpenAPI
    url: openapi/dimensions-query-api-openapi.yml
  - type: Overlay
    url: overlays/dimensions-query-api-overlay.yaml
common:
- type: IssueTracker
  url: https://github.com/digital-science/dimcli/issues
- type: Releases
  url: https://github.com/digital-science/dimcli/releases
- type: License
  name: MIT
  url: https://github.com/digital-science/dimcli/blob/master/LICENSE
- type: AgenticAccess
  url: agentic-access/dimensions-agentic-access.yml
- type: DomainSecurity
  url: security/dimensions-domain-security.yml
- type: Authentication
  url: authentication/dimensions-authentication.yml
- type: Website
  url: https://www.dimensions.ai/
- type: Documentation
  url: https://docs.dimensions.ai/dsl/
- type: Support
  url: https://help.dimensions.ai/
- type: Blog
  url: https://www.dimensions.ai/blog/
- type: APIReference
  url: https://docs.dimensions.ai/dsl/api.html
- type: GettingStarted
  url: https://docs.dimensions.ai/dsl/getting-started.html
- type: GitHubOrganization
  url: https://github.com/digital-science
- type: Login
  url: https://app.dimensions.ai/
- type: TermsOfService
  url: https://www.dimensions.ai/website-terms/
- type: PrivacyPolicy
  url: https://www.dimensions.ai/privacy/
- type: StatusPage
  url: https://status.dimensions.ai/
- type: Deprecation
  url: https://docs.dimensions.ai/dsl/releasenotes.html
- type: ChangeLog
  url: changelog/dimensions-changelog.yml
- type: Lifecycle
  url: lifecycle/dimensions-lifecycle.yml
- type: Packages
  url: packages/dimensions-packages.yml
- type: SDKs
  url: packages/dimensions-packages.yml
- type: CLI
  url: cli/dimensions-cli.yml
- type: Components
  url: components/dimensions-components.yml
- type: MCPServer
  url: mcp/dimensions-mcp.yml
- type: ToolCrosswalk
  url: mcp/dimensions-tool-crosswalk.yml
- type: AgentSkill
  url: skills/_index.yml
- type: LLMsTxt
  url: llms/dimensions-llms.txt
- type: WellKnown
  url: well-known/dimensions-well-known.yml
- type: OAuthScopes
  url: scopes/dimensions-scopes.yml
- type: Conventions
  url: conventions/dimensions-conventions.yml
- type: ErrorCatalog
  url: errors/dimensions-problem-types.yml
- type: Conformance
  url: conformance/dimensions-conformance.yml
- type: DataModel
  url: data-model/dimensions-data-model.yml
- type: Plans
  url: plans/dimensions-plans-pricing.yml
- type: RateLimits
  url: rate-limits/dimensions-rate-limits.yml
- type: FinOps
  url: finops/dimensions-finops.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
x-enrichment:
  date: '2026-09-06'
  status: enriched
  artifacts_added: 22
  pass: local-v3

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