Literature

# bash or zsh: see the payment challenge. Nothing is charged.
curl -sS -g -i -X POST 'https://x402-api.aubr.ai/api/literature' \
  -H 'content-type: application/json' \
  --data-raw '{"filterReferences":true,"includeRejected":false,"mode":"deep","question":"Research radar for longevity tracked terms","retrievalProfile":"litqa-recall","sourceProfile":"clinical","sources":["pubmed"],"tagMode":"fanout","tags":["NAD+","autophagy"]}'

# x402 v2 sends the challenge base64-encoded in the PAYMENT-REQUIRED header (v1 sends it in the body).
# To read the header:
curl -sS -g -o /dev/null -D - -X POST 'https://x402-api.aubr.ai/api/literature' \
  -H 'content-type: application/json' \
  --data-raw '{"filterReferences":true,"includeRejected":false,"mode":"deep","question":"Research radar for longevity tracked terms","retrievalProfile":"litqa-recall","sourceProfile":"clinical","sources":["pubmed"],"tagMode":"fanout","tags":["NAD+","autophagy"]}' \
  | grep -i '^payment-required:' | cut -d' ' -f2 | tr -d '\r' | base64 --decode

// npm i @x402/fetch @x402/evm viem
import { wrapFetchWithPayment, x402Client } from "@x402/fetch";
import { registerExactEvmScheme } from "@x402/evm/exact/client";
import { privateKeyToAccount } from "viem/accounts";

// Pays at most $0.03 per call.
const client = new x402Client().setSpendControls({ maxAmountPerPayment: "$0.03" });
registerExactEvmScheme(client, { signer: privateKeyToAccount(process.env.EVM_PRIVATE_KEY) });
const pay = wrapFetchWithPayment(fetch, client);

// Not sure it's safe to pay? ToolVet checks it first for $0.005. Pay for that from a separate
// client: this one is capped at $0.03 per payment. GET https://toolvet.app/api/v1/check?url=https%3A%2F%2Fx402-api.aubr.ai%2Fapi%2Fliterature&method=POST
const res = await pay("https://x402-api.aubr.ai/api/literature", {
  method: "POST",
  headers: { "content-type": "application/json" },
  body: JSON.stringify({
    "filterReferences": true,
    "includeRejected": false,
    "mode": "deep",
    "question": "Research radar for longevity tracked terms",
    "retrievalProfile": "litqa-recall",
    "sourceProfile": "clinical",
    "sources": [
      "pubmed"
    ],
    "tagMode": "fanout",
    "tags": [
      "NAD+",
      "autophagy"
    ]
  }),
});
console.log(res.status, await res.text());

# pip install "x402[requests,evm]"
import os
from eth_account import Account
from x402 import x402ClientSync
from x402.http.clients import x402_requests
from x402.mechanisms.evm import EthAccountSigner
from x402.mechanisms.evm.exact.register import register_exact_evm_client

# Pays at most $0.03 per call.
client = x402ClientSync().set_spend_controls({"max_amount_per_payment": "$0.03"})
register_exact_evm_client(client, EthAccountSigner(Account.from_key(os.environ["EVM_PRIVATE_KEY"])))

with x402_requests(client) as session:
    res = session.post(
        "https://x402-api.aubr.ai/api/literature",
        json={
            "filterReferences": True,
            "includeRejected": False,
            "mode": "deep",
            "question": "Research radar for longevity tracked terms",
            "retrievalProfile": "litqa-recall",
            "sourceProfile": "clinical",
            "sources": [
                "pubmed",
            ],
            "tagMode": "fanout",
            "tags": [
                "NAD+",
                "autophagy",
            ],
        },
    )
    print(res.status_code, res.text)