Calc Delta P

{
  "age_years": 40,
  "citation": {
    "authors": "Titulaer MJ, Maddison P, Sont JK, Wirtz PW, Hilton-Jones D, Klooster R, Willcox N, Potman M, Sillevis Smitt PAE, Kuks JBM, Roep BO, Vincent A, van der Maarel SM, van Dijk JG, Lang B, Verschuuren JJGM",
    "doi": "10.1200/JCO.2010.32.0440",
    "id": "titulaer-2011",
    "pmid": "21245427",
    "source": "J Clin Oncol. 2011;29(7):902-908",
    "title": "Clinical Dutch-English Lambert-Eaton Myasthenic Syndrome (LEMS) Tumor Association Prediction Score Accurately Predicts Small-Cell Lung Cancer in the LEMS"
  },
  "components": [
    {
      "factor": "bulbar_weakness",
      "points": 0,
      "present": false
    },
    {
      "factor": "erectile_dysfunction",
      "points": 0,
      "present": false
    },
    {
      "factor": "weight_loss_ge_5pct",
      "points": 0,
      "present": false
    },
    {
      "factor": "smoking_at_onset",
      "points": 0,
      "present": false
    },
    {
      "factor": "age_ge_50",
      "points": 0,
      "present": false,
      "value": 40
    },
    {
      "factor": "kps_lt_70",
      "points": 0,
      "present": false
    }
  ],
  "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.",
  "formula": "delta_p",
  "formula_expression": "DELTA-P = bulbar_weakness 1 + (male and erectile_dysfunction) 1 + weight_loss_ge_5pct 1 + smoking_at_onset 1 + (age>=50) 1 + kps_lt_70 1; each at or within 3 months of LEMS onset; female erectile always 0; max 6; bands 0-1 low / 2 intermediate / 3-6 high (Titulaer 2011); SCLC percents 0/2.6/omit/83.9/93.5/96.6/100 for scores 0-6",
  "max_score": 6,
  "sclc_band": "low",
  "sclc_percent": 0,
  "score": 0,
  "sex": "female"
}

# bash or zsh: see the payment challenge. Nothing is charged.
curl -sS -g -i 'https://api.magentlab.com/api/calc/delta_p?age=40&bulbar_weakness=false&erectile_dysfunction=false&kps_lt_70=false&sex=female&smoking_at_onset=false&weight_loss_ge_5pct=false'

# 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 - 'https://api.magentlab.com/api/calc/delta_p?age=40&bulbar_weakness=false&erectile_dysfunction=false&kps_lt_70=false&sex=female&smoking_at_onset=false&weight_loss_ge_5pct=false' \
  | 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 $0.005 per call.
const client = new x402Client().setSpendControls({ maxAmountPerPayment: "$0.005" });
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 $0.005 per payment. GET https://toolvet.app/api/v1/check?url=https%3A%2F%2Fapi.magentlab.com%2Fapi%2Fcalc%2Fdelta_p
const res = await pay("https://api.magentlab.com/api/calc/delta_p?age=40&bulbar_weakness=false&erectile_dysfunction=false&kps_lt_70=false&sex=female&smoking_at_onset=false&weight_loss_ge_5pct=false");
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 $0.005 per call.
client = x402ClientSync().set_spend_controls({"max_amount_per_payment": "$0.005"})
register_exact_evm_client(client, EthAccountSigner(Account.from_key(os.environ["EVM_PRIVATE_KEY"])))

with x402_requests(client) as session:
    res = session.get("https://api.magentlab.com/api/calc/delta_p?age=40&bulbar_weakness=false&erectile_dysfunction=false&kps_lt_70=false&sex=female&smoking_at_onset=false&weight_loss_ge_5pct=false")
    print(res.status_code, res.text)