Calc Lent

{
  "count": 2,
  "items": [
    {
      "citation": {
        "authors": "Clive AO, Kahan BC, Hooper CE, Bhatnagar R, Morley AJ, Zahan-Evans N, Bintcliffe OJ, Boshuizen RC, Fysh ETH, Tobin CL, Medford ARL, Harvey JE, van den Heuvel MM, Lee YCG, Maskell NA",
        "doi": "10.1136/thoraxjnl-2014-205285",
        "id": "clive-2014",
        "pmid": "25100651",
        "source": "Thorax. 2014;69(12):1098-1104",
        "title": "Predicting survival in malignant pleural effusion: development and validation of the LENT prognostic score"
      },
      "components": [
        {
          "factor": "pleural_ldh",
          "points": 0,
          "present": false,
          "value": 1000
        },
        {
          "factor": "ecog",
          "points": 0,
          "present": true,
          "value": 0
        },
        {
          "factor": "nlr",
          "points": 0,
          "present": false,
          "value": 5
        },
        {
          "factor": "tumor_type",
          "points": 0,
          "present": false,
          "value": "mesothelioma"
        }
      ],
      "disclaimer": "Not a medical device. Deterministic published-formula or published-code output for autonomous agents. A licensed clinician remains responsible for patient care and billing submissions.",
      "ecog": 0,
      "formula": "lent",
      "formula_expression": "LENT = L (pleural LDH IU/L: <1500 → 0, >1500 → 1) + E (ECOG 0→0, 1→1, 2→2, 3-4→3) + N (serum NLR: <9 → 0, >9 → 1) + T (mesothelioma/haematological → 0; breast/gynaecological/renal_cell → 1; lung/other → 2); Clive 2014 Table 3; max 7; 0-1 low, 2-4 moderate, 5-7 high",
      "max_score": 7,
      "nlr": 5,
      "pleural_ldh_u_l": 1000,
      "risk": "low",
      "score": 0,
      "tumor_type": "mesothelioma"
    },
    {
      "citation": {
        "authors": "Clive AO, Kahan BC, Hooper CE, Bhatnagar R, Morley AJ, Zahan-Evans N, Bintcliffe OJ, Boshuizen RC, Fysh ETH, Tobin CL, Medford ARL, Harvey JE, van den Heuvel MM, Lee YCG, Maskell NA",
        "doi": "10.1136/thoraxjnl-2014-205285",
        "id": "clive-2014",
        "pmid": "25100651",
        "source": "Thorax. 2014;69(12):1098-1104",
        "title": "Predicting survival in malignant pleural effusion: development and validation of the LENT prognostic score"
      },
      "components": [
        {
          "factor": "pleural_ldh",
          "points": 0,
          "present": false,
          "value": 1000
        },
        {
          "factor": "ecog",
          "points": 0,
          "present": true,
          "value": 0
        },
        {
          "factor": "nlr",
          "points": 0,
          "present": false,
          "value": 5
        },
        {
          "factor": "tumor_type",
          "points": 0,
          "present": false,
          "value": "mesothelioma"
        }
      ],
      "disclaimer": "Not a medical device. Deterministic published-formula or published-code output for autonomous agents. A licensed clinician remains responsible for patient care and billing submissions.",
      "ecog": 0,
      "formula": "lent",
      "formula_expression": "LENT = L (pleural LDH IU/L: <1500 → 0, >1500 → 1) + E (ECOG 0→0, 1→1, 2→2, 3-4→3) + N (serum NLR: <9 → 0, >9 → 1) + T (mesothelioma/haematological → 0; breast/gynaecological/renal_cell → 1; lung/other → 2); Clive 2014 Table 3; max 7; 0-1 low, 2-4 moderate, 5-7 high",
      "max_score": 7,
      "nlr": 5,
      "pleural_ldh_u_l": 1000,
      "risk": "low",
      "score": 0,
      "tumor_type": "mesothelioma"
    }
  ],
  "path": "/api/calc/lent"
}

# bash or zsh: see the payment challenge. Nothing is charged.
curl -sS -g -i -X POST 'https://api.magentlab.com/api/calc/lent' \
  -H 'content-type: application/json' \
  --data-raw '{"items":[{"ecog":0,"nlr":5,"pleural_ldh_u_l":1000,"tumor_type":"mesothelioma"},{"ecog":0,"nlr":5,"pleural_ldh_u_l":1000,"tumor_type":"mesothelioma"}]}'

# 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://api.magentlab.com/api/calc/lent' \
  -H 'content-type: application/json' \
  --data-raw '{"items":[{"ecog":0,"nlr":5,"pleural_ldh_u_l":1000,"tumor_type":"mesothelioma"},{"ecog":0,"nlr":5,"pleural_ldh_u_l":1000,"tumor_type":"mesothelioma"}]}' \
  | 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 $0.007 per call.
const client = new x402Client().setSpendControls({ maxAmountPerPayment: "$0.007" });
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 $0.007 per payment. GET https://toolvet.app/api/v1/check?url=https%3A%2F%2Fapi.magentlab.com%2Fapi%2Fcalc%2Flent&method=POST
const res = await pay("https://api.magentlab.com/api/calc/lent", {
  method: "POST",
  headers: { "content-type": "application/json" },
  body: JSON.stringify({
    "items": [
      {
        "ecog": 0,
        "nlr": 5,
        "pleural_ldh_u_l": 1000,
        "tumor_type": "mesothelioma"
      },
      {
        "ecog": 0,
        "nlr": 5,
        "pleural_ldh_u_l": 1000,
        "tumor_type": "mesothelioma"
      }
    ]
  }),
});
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 $0.007 per call.
client = x402ClientSync().set_spend_controls({"max_amount_per_payment": "$0.007"})
register_exact_evm_client(client, EthAccountSigner(Account.from_key(os.environ["EVM_PRIVATE_KEY"])))

with x402_requests(client) as session:
    res = session.post(
        "https://api.magentlab.com/api/calc/lent",
        json={
            "items": [
                {
                    "ecog": 0,
                    "nlr": 5,
                    "pleural_ldh_u_l": 1000,
                    "tumor_type": "mesothelioma",
                },
                {
                    "ecog": 0,
                    "nlr": 5,
                    "pleural_ldh_u_l": 1000,
                    "tumor_type": "mesothelioma",
                },
            ],
        },
    )
    print(res.status_code, res.text)