Overview
Search arXiv, the open preprint server for physics, mathematics, computer science and AI: give search words (every word must match, quotes for a phrase) and optionally a category such as cs.AI, and get 1-20 papers by relevance or newest first, each with title, abstract, authors, dates, categories, DOI and PDF link. An arXiv ID or link returns that paper. Use to find research on a topic, cite a paper or read its abstract before the PDF.
Protocol
x402
Price
$0.01
Payment Asset
USD Coin
Payment Network
eip155:8453
Category
tools/search
Provider
arXiv search
Indexed
2026-11-11 00:08:34
Health
Status
unknown
Latency (p50)
—
Uptime (30d)
—
Reliability Score
—
Last Checked
Never
Last Healthy
Never
Consecutive Failures
0
Output Schema
{
"example": {
"attribution": "Thank you to arXiv for use of its open access interoperability.",
"checkedAt": "2026-11-10T22:00:00.000Z",
"count": 1,
"papers": [
{
"authors": [
"Patrick Lewis",
"Ethan Perez",
"Aleksandra Piktus"
],
"authorsTotal": 12,
"categories": [
"cs.CL",
"cs.LG"
],
"comment": "Accepted at NeurIPS 2020",
"doi": null,
"id": "2005.11401",
"journalRef": null,
"pdf": "https://arxiv.org/pdf/2005.11401",
"primaryCategory": "cs.CL",
"published": "2020-05-22",
"summary": "Large pre-trained language models have been shown to store factual knowledge in their parameters, and achieve state-of-the-art results when fine-tuned on downstream NLP tasks. …",
"title": "Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks",
"updated": "2021-04-12",
"url": "https://arxiv.org/abs/2005.11401",
"version": 4
}
],
"query": "retrieval augmented generation",
"source": "arXiv API (metadata CC0)",
"total": 4912
},
"type": "json"
}