Calc Gupta Pneumonia

{
  "count": 2,
  "items": [
    {
      "age_years": 40,
      "asa_class": 2,
      "citation": {
        "authors": "Gupta H, Gupta PK, Schuller D, Fang X, Miller WJ, Modrykamien A, Wichman TO, Morrow LE",
        "doi": "10.1016/j.mayocp.2013.06.027",
        "id": "gupta-2013-pneumonia",
        "pmid": "24182703",
        "source": "Mayo Clin Proc. 2013;88(11):1241-1249",
        "title": "Development and validation of a risk calculator for predicting postoperative pneumonia"
      },
      "copd": 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.",
      "estimated_probability_percent": 0.38,
      "formula": "gupta_pneumonia",
      "formula_expression": "L = -2.8977 + 0.0144*age + copd + functional_status + asa_class + sepsis + smoking + surgery (Gupta 2013 Mayo Clin Proc logistic table); COPD no -0.4553, yes 0; independent 0, partially_dependent 0.7653, totally_dependent 0.9400; ASA1 -3.0225, ASA2 -1.6057, ASA3 -0.4915, ASA4 0.0123, ASA5 0; sepsis none -0.7641, sirs 0, sepsis -0.0842, septic_shock 0.1048; smoking no -0.4306, yes 0; hernia 0, anorectal -0.8470, aortic 0.7178, bariatric -0.6282, brain 0.6841, breast -2.3318, cardiac 0.1382, ent -0.3665, foregut_hpb 1.0660, gbaas -0.3951, intestinal 0.6169, neck -0.0872, obstetric_gynecologic -0.4101, orthopedic -0.5415, other_abdomen 0.4021, peripheral_vascular -0.4519, skin -0.5075, spine -0.5672, thoracic 0.8901, vein -1.4760, urology 0.1076; estimated_probability_percent = 100 * exp(L) / (1 + exp(L))",
      "functional_status": "independent",
      "logit": -5.5774,
      "sepsis": "none",
      "smoking": false,
      "surgery": "hernia"
    },
    {
      "age_years": 40,
      "asa_class": 2,
      "citation": {
        "authors": "Gupta H, Gupta PK, Schuller D, Fang X, Miller WJ, Modrykamien A, Wichman TO, Morrow LE",
        "doi": "10.1016/j.mayocp.2013.06.027",
        "id": "gupta-2013-pneumonia",
        "pmid": "24182703",
        "source": "Mayo Clin Proc. 2013;88(11):1241-1249",
        "title": "Development and validation of a risk calculator for predicting postoperative pneumonia"
      },
      "copd": 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.",
      "estimated_probability_percent": 0.38,
      "formula": "gupta_pneumonia",
      "formula_expression": "L = -2.8977 + 0.0144*age + copd + functional_status + asa_class + sepsis + smoking + surgery (Gupta 2013 Mayo Clin Proc logistic table); COPD no -0.4553, yes 0; independent 0, partially_dependent 0.7653, totally_dependent 0.9400; ASA1 -3.0225, ASA2 -1.6057, ASA3 -0.4915, ASA4 0.0123, ASA5 0; sepsis none -0.7641, sirs 0, sepsis -0.0842, septic_shock 0.1048; smoking no -0.4306, yes 0; hernia 0, anorectal -0.8470, aortic 0.7178, bariatric -0.6282, brain 0.6841, breast -2.3318, cardiac 0.1382, ent -0.3665, foregut_hpb 1.0660, gbaas -0.3951, intestinal 0.6169, neck -0.0872, obstetric_gynecologic -0.4101, orthopedic -0.5415, other_abdomen 0.4021, peripheral_vascular -0.4519, skin -0.5075, spine -0.5672, thoracic 0.8901, vein -1.4760, urology 0.1076; estimated_probability_percent = 100 * exp(L) / (1 + exp(L))",
      "functional_status": "independent",
      "logit": -5.5774,
      "sepsis": "none",
      "smoking": false,
      "surgery": "hernia"
    }
  ],
  "path": "/api/calc/gupta_pneumonia"
}

# bash or zsh: see the payment challenge. Nothing is charged.
curl -sS -g -i -X POST 'https://api.magentlab.com/api/calc/gupta_pneumonia' \
  -H 'content-type: application/json' \
  --data-raw '{"items":[{"age":40,"asa_class":2,"copd":false,"functional_status":"independent","sepsis":"none","smoking":false,"surgery":"hernia"},{"age":40,"asa_class":2,"copd":false,"functional_status":"independent","sepsis":"none","smoking":false,"surgery":"hernia"}]}'

# 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/gupta_pneumonia' \
  -H 'content-type: application/json' \
  --data-raw '{"items":[{"age":40,"asa_class":2,"copd":false,"functional_status":"independent","sepsis":"none","smoking":false,"surgery":"hernia"},{"age":40,"asa_class":2,"copd":false,"functional_status":"independent","sepsis":"none","smoking":false,"surgery":"hernia"}]}' \
  | 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%2Fgupta_pneumonia&method=POST
const res = await pay("https://api.magentlab.com/api/calc/gupta_pneumonia", {
  method: "POST",
  headers: { "content-type": "application/json" },
  body: JSON.stringify({
    "items": [
      {
        "age": 40,
        "asa_class": 2,
        "copd": false,
        "functional_status": "independent",
        "sepsis": "none",
        "smoking": false,
        "surgery": "hernia"
      },
      {
        "age": 40,
        "asa_class": 2,
        "copd": false,
        "functional_status": "independent",
        "sepsis": "none",
        "smoking": false,
        "surgery": "hernia"
      }
    ]
  }),
});
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/gupta_pneumonia",
        json={
            "items": [
                {
                    "age": 40,
                    "asa_class": 2,
                    "copd": False,
                    "functional_status": "independent",
                    "sepsis": "none",
                    "smoking": False,
                    "surgery": "hernia",
                },
                {
                    "age": 40,
                    "asa_class": 2,
                    "copd": False,
                    "functional_status": "independent",
                    "sepsis": "none",
                    "smoking": False,
                    "surgery": "hernia",
                },
            ],
        },
    )
    print(res.status_code, res.text)