OpenAlex vs Valyu: How Two Research Platforms Stack Up for AI and Academia

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OpenAlex is an open scholarly metadata graph indexing over 322 million works, connecting them to authors, institutions, topics, and citation relationships sourced from Crossref, PubMed, arXiv, and others. It maintains a content archive of 50 million-plus open-access PDFs, but does not provide full text for paywalled publications. Valyu, by contrast, is a search and deep-research API designed for AI agents, offering semantic retrieval of full-text passages with structured citations across roughly 40 million academic papers, patents, clinical trials, and licensed specialist sources. While OpenAlex excels at bibliometric discovery and large-scale structured queries, Valyu focuses on delivering evidence-ready text chunks in a single API call for both humans and AI systems. The two platforms serve overlapping but distinct use cases, with OpenAlex prioritising open metadata breadth and Valyu emphasising retrieval quality and licensed content access.

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