Agentbit · Research Papers

import { wrapFetchWithPayment } from "@x402/fetch";
import { privateKeyToAccount } from "viem/accounts";

const account = privateKeyToAccount(process.env.PRIVATE_KEY);
const fetchWithPay = wrapFetchWithPayment(fetch, account);

const res = await fetchWithPay("https://agentbit.app/v1/research/papers", {
  method: "POST",
  headers: { "Content-Type": "application/json" },
  body: JSON.stringify({
    "format": "bibtex",
    "limit": 5,
    "query": "attention is all you need transformer"
  }),
});
const data = await res.json();

curl -X POST \
  "https://agentbit.app/v1/research/papers" \
  -H "Content-Type: application/json" \
  -d '{"format":"bibtex","limit":5,"query":"attention is all you need transformer"}' \
  -H "X-PAYMENT: <signed x402 payment>"

{
  "note": "Merged and deduplicated across OpenAlex, Crossref and arXiv; citations from the richest source; pdf_url is a direct open-access link where one exists.",
  "papers": [
    {
      "abstract": "The dominant sequence transduction models are based on complex recurrent or convolutional neural networks...",
      "authors": [
        "Ashish Vaswani",
        "Noam Shazeer",
        "Niki Parmar"
      ],
      "bibtex": "@article{vaswani2017,\n  title = {Attention Is All You Need},\n  author = {Ashish Vaswani and Noam Shazeer and Niki Parmar},\n  year = {2017}\n}",
      "citations": 100000,
      "doi": "10.48550/arxiv.1706.03762",
      "pdf_url": "https://arxiv.org/pdf/1706.03762",
      "sources": [
        "openalex",
        "arxiv"
      ],
      "title": "Attention Is All You Need",
      "url": "https://doi.org/10.48550/arxiv.1706.03762",
      "venue": "Neural Information Processing Systems",
      "year": 2017
    }
  ],
  "query": "attention is all you need transformer",
  "result_count": 5,
  "sources": {
    "arxiv": {
      "ok": true,
      "results": 15
    },
    "crossref": {
      "ok": true,
      "results": 15
    },
    "openalex": {
      "ok": true,
      "results": 15
    }
  }
}