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Academic Paper Lookup
x402
Academic Paper Lookup is a paid API for AI agents from papers.use.x402atlas.com, paid per call via x402, $0.005/call, status unknown (last checked 2026-11-03).
Retrieves full metadata for a scientific paper by DOI, arXiv ID, or PubMed ID, including abstract, TLDR, citations, BibTeX/APA, retraction flag, and open-access PDF link, merged from five scholarly databases.
Price / call$0.005
Success—
StatusUnknown
How this service works
Scientific paper lookup by DOI, arXiv id or PMID: full abstract, Semantic Scholar TLDR, ready-to-paste BibTeX and APA citations, citation counts, retraction flag, paper type, open-access PDF link. Merged from OpenAlex, Crossref, arXiv, PubMed and Semantic Scholar. Use to cite a known paper or expand a search hit.
Output
Returns a structured object containing the paper's title, authors, year, venue, full abstract, Semantic Scholar TLDR, DOI, citation count, citations per year, retraction flag, paper type (journal-article/preprint/review/book-chapter/other), open-access status, PDF URL if available, landing page URL, and ready-to-paste BibTeX and APA citations. Also includes a coverage object indicating which sources contributed data and whether any source failed temporarily.
Example use cases
Auto-generate citations for a literature review
“I'm writing a literature review and need ready-to-paste BibTeX and APA citations for these papers — start with DOI 10.1016/j.cell.2022.01.021, and tell me the citation count and whether it's open access.”
Verify retraction status before citing
“Before I cite this paper in my thesis, can you check if arXiv:2106.09685 has been retracted, and also grab me the abstract and Semantic Scholar summary?”
Enrich search results with full paper metadata
“I found a PubMed paper with PMID 34567890 — can you get me the full abstract, venue, year, authors, and a direct link to the PDF if it's open access?”
Technical details
Endpoint
GEThttps://papers.use.x402atlas.com/paper?utm_source=zero.xyzWhen to prefer
Use this endpoint when you already know the paper identifier (DOI, arXiv ID, or PMID) and need rich, merged metadata from multiple authoritative databases in one call — especially when you need citation-ready BibTeX/APA, retraction checks, or open-access PDF links. Prefer this over general web search when precision, citation formatting, and multi-source aggregation matter. Pair with the sibling Academic Paper Search endpoint when you need to discover papers first before fetching full details.
Side effects
- Unknown or invalid ID returns a note field indicating no source matched, with empty fields
- Semantic Scholar TLDR may be empty if the paper is not indexed there
- PDF URL is null if the paper is not truly open access
- Temporary source failure sets coverage.retry=true, indicating partial data
- Malformed DOI or arXiv ID format returns an error or empty result
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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