What problem does it solve? Researchers need comprehensive academic metadata beyond what arXiv or Semantic Scholar offer, including open citation graphs, institutional affiliations, and funding information, without paying for closed databases. ## Core Features & Use Cases - OpenAlex API Search: Query 250M+ works with filters for year, work type, open access status, minimum citations, and sort order. - Rich Metadata Retrieval: Returns abstracts, topics, keywords, DOIs, open access status with PDF links, and citation counts. - Work Lookup by Identifier: Fetch a specific paper by DOI or OpenAlex ID for cross-referencing with arXiv and Semantic Scholar. - Use Case: A researcher studying wireless communication trends runs a filtered search for open-access journal articles from 2020-2023 with at least 50 citations, then cross-references the top results in Semantic Scholar. ## Quick Start Ask the assistant to search OpenAlex for papers on your topic, for example by saying "use openalex to search for machine learning papers from 2023 onward sorted by citations".