Saylor Innovations Data Desk – Crossref Scholarly Article Search is a paid API for AI agents from saylorinnovations.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-18).
Searches Crossref for scholarly articles by title, author, or topic, returning DOI, title, authors, year, journal, publisher, and citation count
Scholarly article search from Crossref - DOI, title, authors, year, journal, publisher and citation count for any paper title or topic query
Returns a JSON object containing the interpreted query string, the data source identifier, total number of matching records, the number of items returned, and an array of paper objects each with DOI, title, author list, publication year, journal name, publisher, and citation count.
GEThttps://saylorinnovations.com/api/research/crossref?utm_source=zero.xyzChoose this endpoint when you need structured bibliographic metadata (DOI, authors, year, journal, publisher, citation count) for academic or peer-reviewed papers. It is ideal for literature reviews, citation verification, and academic research workflows. Prefer it over general web search when you need clean, structured scholarly metadata with DOIs rather than scraped web results.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
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