CORE vs Iris.ai
CORE
core.ac.uk
Iris.ai
iris.aiSide by side
| Figure | CORE | Iris.ai |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 11 | 3 |
| Spec score · Research Paper Discovery Tools | 8.8 (#3) | 7.2 (#20) |
| Founded | The Open University records the CORE project period as February–July 2011, and contemporary OU news says the service launched in 2011. | 2015 |
| Headquarters | Milton Keynes, United Kingdom | Stabekk, Bærum municipality, Norway |
| Integrations | CORE says its Discovery tool can integrate with repositories, and its API documentation includes examples and wrappers for common programming languages. | The terms list optional integrations with Google Drive, Dropbox, and Microsoft SharePoint; Axion also describes connections to databases, CRMs, BI tools, and cloud storage. |
| Support | Starting members receive general support, while Supporting and Sustaining members receive increasing levels of technical support. | The terms state that service support is available in English via email. |
| What it does | CORE aggregates and indexes open-access scholarly metadata and full texts so people can search, read and reuse research. | Iris.ai describes its platform as helping enterprises connect, orchestrate, evaluate, and deploy agentic RAG AI workflows. |
Plans
CORE
- StartingPriced on request
- SupportingPriced on request
- SustainingPriced on request
- CORE APIFree
- CORE API — free access without registrationFree
- Institution and Enterprise API trialFree
- Starting membershipFree
- Starting membershipFree
- CORE API — registered accessPriced on request
- Supporting membershipPriced on request
Iris.ai
- Enterprise (Axion)Priced on request
- Professional (Axion)Priced on request
- Starter (Axion)Price not published
In their own words
CORE
CORE is a multidisciplinary discovery service for scholarly work gathered from repositories, preprint servers and journals. Its search covers research papers, journal articles, preprints, theses, dissertations, conference proceedings, reports and books. CORE says its collection holds 449 million searchable papers, including 57 million full texts. Researchers and the public can search this material; developers can use the API for real-time access to metadata and full texts. The CORE Dataset supports downloading data for analysis and text mining on an organisation’s own infrastructure, though access is limited to users representing organisations registered in non-sanctioned countries. Individuals can use the API instead. CORE Discovery is available as a browser extension, repository plugin and API, and CORE Recommender suggests related articles in repositories, journal systems and web interfaces. Free API access costs nothing, subject to rate limits of one batch request or five single requests per 10 seconds. Starting membership costs nothing for data providers. The service describes itself as not-for-profit and community-governed.