CORE

CORE is a multidisciplinary search service for open-access research papers from repositories, preprint servers, and journals. Its collection contains 449 million searchable papers, including 57 million full texts, and covers journal articles, preprints, theses, dissertations, conference proceedings, reports, and books. Researchers and the public can search the collection; developers can use the API for real-time access to paper metadata and full texts. The API offers free access without registration at a limit of one batch request or five single requests per 10 seconds. Registered users get better performance, while higher rates require contacting CORE for a quote. CORE Dataset supports downloading data for analysis and text mining, though dataset access is limited to users representing organisations registered in non-sanctioned countries; individuals may use the API. Discovery tools include a browser extension, repository plugin, and API, while CORE Recommender suggests similar articles. CORE is a not-for-profit, community-governed service. Commercial API use is allowed under its terms, and some uses require a licence.

CORE combines literature discovery with tools for developers and repositories. Individuals can use its search service and API, while dataset downloads have an organisational eligibility limit.

CORE supports researchers and the general public looking for scholarly literature, as well as developers and institutions working with research data or repository tools.

CORE is a multidisciplinary research discovery service with tools for repositories and developers. It is a strong fit for people who need open-access papers across many disciplines or want programmatic access to research metadata and full texts. Its breadth is the draw; API limits and dataset eligibility make it less suitable for unrestricted bulk-data work.

Overview

CORE searches scholarly literature collected from repositories, preprint servers, and journals. It reports 449 million searchable research papers, including 57 million full texts, and covers journal articles, preprints, theses, dissertations, conference proceedings, reports, and books. That range makes it a practical starting point for multidisciplinary searches that would otherwise require moving between source types.

Advanced search and full-text access support more than citation lookup. CORE describes itself as a not-for-profit, community-governed service and a signatory to the Principles of Open Scholarly Infrastructures. Its audience spans researchers and the general public, as well as institutions, developers, funders, and companies.

Key features

Discovery and repository tools

CORE Discovery comes as a browser extension, repository plugin, and API for developers and third-party services. The extension can support individual paper discovery in a browser, while the plugin and API give repositories and software teams ways to integrate discovery into their own services. CORE Recommender adds a related-article function for repositories, journal systems, and web interfaces. These integration options are useful for teams building scholarly workflows, but less important to readers who only need occasional searches.

API and dataset

The API provides real-time machine access to research metadata and full texts. Its documentation includes examples and wrappers for common programming languages, which can help developers connect CORE to their systems. Free unregistered use is tightly rate-limited: one batch request or five single requests per 10 seconds. Registered users get better performance, and higher rates require contacting CORE for a quote. Commercial API use is allowed under CORE's terms, though some uses require a licence.

CORE Dataset allows users to download data and run prototyping, analysis, or text-mining processes on their own infrastructure. That is a distinct advantage for organisations with the technical capacity to work locally, but access is currently limited to people representing organisations registered in non-sanctioned countries. Individuals who do not meet that condition can use the API instead.

Pricing

CORE uses a freemium model, with a free plan and a free trial. The free API is useful for modest exploration, but its per-10-second request cap is a constraint for sustained or high-volume access.

• CORE API — free access without registration: free. Includes API access subject to one batch request or five single requests per 10 seconds.
• Starting membership: free. For data providers; includes the CORE Repository Dashboard.
• CORE API — registered access: custom pricing. Registered users get better performance; higher rates require contacting CORE for a quote.
• Supporting membership: custom pricing. Includes Starting benefits, technical support, and CORE API access for the institution and its researchers.
• Sustaining membership: custom pricing. Adds an OA Compliance dashboard, dataset use for the university, a repository health check, and unlimited prioritised support to Supporting benefits.

The free plans suit exploratory API use and data providers who need the dashboard. Institutions needing stronger API performance or support should consider paid membership, while Sustaining is aimed at universities that also need compliance and repository tools. Dataset access is subject to the organisational eligibility limit regardless of the appeal of the membership benefits.

Platforms

CORE is available on the web, through an API, and as an extension. The extension supports browser-based discovery; the API is the option for software integrations and machine access.

Who it's for

CORE is a good choice for researchers and general readers looking for open-access work across disciplines, and for developers or repositories that want to embed discovery or access scholarly data programmatically. Institutions can also make use of membership support and governance-oriented services. It is a weaker fit for individuals seeking unrestricted bulk downloads, or for teams whose workloads exceed free API limits but cannot accommodate custom pricing or licensing conditions.

Pros and cons

• Pros: Large multidisciplinary corpus with full-text access and advanced search, useful when research spans journals, preprints, theses, and other formats.
• Pros: Multiple integration routes, including an extension, repository plugin, API, and similar-article recommender.
• Cons: Unregistered API use is capped at one batch or five single requests per 10 seconds, limiting heavier free use.
• Cons: Dataset downloads require representation of an eligible registered organisation, excluding many individual users.
• Cons: Higher API rates and institutional membership require custom pricing, and some commercial API uses require a licence.

Alternatives

Browse Academic Research Databases for more options. Choose JSTOR instead if its freemium access and paid JPASS option suit your reading needs; its listed platforms include Android, iOS, and web. Embase AI is a paid alternative with pricing available by demo request. EconLit may suit AEA members who need a bibliographic database, though its member access has no full-text links. MAXQDA is another option, with a free AI Assist add-on and a separate paid product. OpenAlex is a freemium alternative available through API, extension, self-hosted, and web access, with a free tier and pay-as-you-go option. The Lens offers free anonymous browsing and an academic workspace for non-commercial academic users. AGRICOLA is a free catalog alternative, though article full text may depend on linked sources. arXiv is a free open-access archive with no fees for article submission.

Verdict

Choose CORE if you need broad open-access discovery or a route to integrate scholarly metadata and full texts into a repository or software workflow. Its combination of scale, search, and integration tools is more compelling than a simple catalog for those jobs. Look elsewhere if you need unrestricted individual dataset downloads or predictable high-volume API access without custom pricing and licensing considerations.