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Research Paper Search
x402
Research Paper Search is a paid API for AI agents from agent-search.centorprat.workers.dev, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-30).
Searches and merges academic papers across Google Scholar, arXiv, Crossref, OpenAlex, and Semantic Scholar in a single call, returning unified metadata with open-access PDF links.
Price / call$0.01
Success—
StatusUnknown
How this service works
Academic paper search across Google Scholar, arXiv, Crossref, OpenAlex and Semantic Scholar in one call, merged by DOI / arXiv id / title: title, authors, year, venue, citation count, DOI, abstract, landing page and open-access PDF link. Ranked by relevance, citations and recency; yearFrom and openAccessOnly filters. Half the price of other paper search APIs.
Output
Returns a JSON object containing the original query string and an array of paper objects, each with DOI, year, title, PDF URL, authors list, source databases (e.g. openalex, arxiv), and citation count. Results are deduplicated by DOI or arXiv ID and ranked by a combination of relevance, citation count, and recency.
Example use cases
Literature review for a research proposal
“Find me the 20 most cited papers on CRISPR gene editing published since 2018 — I need titles, authors, abstracts, and DOIs for my literature review, and please include open-access PDFs where available.”
Tracking recent advances in a fast-moving field
“Search for the latest academic papers on reinforcement learning from human feedback published from 2022 onward, give me up to 25 results ranked by relevance and recency.”
Finding free papers to read for a student
“I need 10 open-access papers on climate change and sea level rise so I can read the actual PDFs — only show me ones I can download for free.”
Technical details
Endpoint
POSThttps://agent-search.centorprat.workers.dev/papers?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need comprehensive academic paper search across multiple scholarly databases in a single API call at low cost ($0.01/call). It is preferable to querying arXiv, Semantic Scholar, or Crossref individually because it merges and deduplicates results by DOI/arXiv ID, provides citation counts, and surfaces open-access PDFs. Especially useful for literature reviews, research discovery, or any workflow requiring cross-database coverage with open-access filtering.
Side effects
- No papers found for very niche or misspelled queries — returns empty papers array
- yearFrom set too recent may drastically reduce results for emerging topics
- openAccessOnly filter may return fewer results even when many papers exist
- numResults above 25 will be capped or rejected — max is 25
- Ambiguous short queries may return loosely related papers from cross-database merging
- Rate limiting or upstream source failures may return partial results
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| query | string | topic or title |
| yearFrom | integer | only papers from this year on |
| numResults | integer | 1-25 (default 10) |
| openAccessOnly | boolean | only papers with a free PDF |
Output
Schema · Response
{
"type": "json",
"example": {
"query": "...",
"papers": [
{
"doi": "...",
"year": 2024,
"title": "...",
"pdfUrl": "https://...",
"authors": [],
"sources": [
"openalex",
"arxiv"
],
"citations": 120
}
]
}
}Tags
x402
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