Research Papers

Last 30 days

Uptime

100%

Response time

80 ms typical, 80 ms slowest 5%

Last check

3 h ago

Next check

any minute now

How to call it

# See the payment challenge (nothing is charged)
curl -i -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"}'

import { wrapFetchWithPayment } from "@x402/fetch";
import { x402Client } from "@x402/core/client";
import { ExactEvmScheme } from "@x402/evm/exact/client";
import { privateKeyToAccount } from "viem/accounts";

const client = new x402Client().register(
  "eip155:8453",
  new ExactEvmScheme(privateKeyToAccount(process.env.AGENT_KEY)),
);
const pay = wrapFetchWithPayment(fetch, client);

// Not sure it's safe to pay? Preflight it first for $0.005:
// GET https://toolvet.app/api/v1/check?url=https%3A%2F%2Fagentbit.app%2Fv1%2Fresearch%2Fpapers
const res = await pay("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"}),
});
console.log(await res.json());

Example input

{
  "format": "bibtex",
  "limit": 5,
  "query": "attention is all you need transformer"
}

Example output

{
  "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
    }
  }
}

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• No findings. We scan names, descriptions and tool definitions for hidden instructions and other prompt-injection patterns.

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