Vextorium DOI Info Lookup is a paid API for AI agents from api.vextorium.com, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-15).
Looks up academic paper metadata (title, authors, journal, citations, APA citation, license, etc.) by DOI
Metadata of a publication by DOI (Crossref): title, authors, journal or publisher, year, type, citation count, references, license, link and an APA-formatted citation.
A JSON object containing the resolved paper's metadata: DOI, canonical URL, document type, publication year, page range, title, issue number, data source, volume, list of author names, journal name, license URLs, citation count, editorial/publisher name, reference count, and a pre-formatted APA citation string. Fields may be null if not available in the underlying Crossref metadata.
POSThttps://api.vextorium.com/v1/doi-info?utm_source=zero.xyzUse this endpoint when you need structured bibliographic metadata for a known DOI — especially when you need a ready-made APA citation, citation count, or author list without scraping a publisher's website. Prefer it over general web search when the DOI is already known and you want structured, machine-readable output. It is especially useful for automating citation management, research enrichment pipelines, or verifying paper provenance.
| Field | Type | Description |
|---|---|---|
| doi | string |
{
"type": "json",
"example": {
"doi": "10.1038/nature14539",
"link": "https://doi.org/10.1038/nature14539",
"type": "journal-article",
"year": 2015,
"pages": "436-444",
"title": "Deep learning",
"number": "7553",
"source": "Crossref (metadatos)",
"volume": "521",
"authors": [
"Yann LeCun",
"Yoshua Bengio"
],
"journal": "Nature",
"license": [
"https://www.springer.com/tdm",
"https://www.springer.com/tdm"
],
"citations": 78358,
"editorial": "Springer Science and Business Media LLC",
"references": 103,
"apa_citation": "LeCun, Y., Bengio, Y., Hinton, G. (2015). Deep learning. Nature, 521(7553), 436-444. https://doi.org/10.1038/nature14539"
}
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