Calc Gupta Mica

{
  "count": 2,
  "items": [
    {
      "age_years": 40,
      "asa_class": 2,
      "citation": {
        "authors": "Gupta PK, Gupta H, Sundaram A, et al.",
        "doi": "10.1161/CIRCULATIONAHA.110.015701",
        "id": "gupta-2011",
        "pmid": "21730309",
        "source": "Circulation. 2011;124(4):381-387",
        "title": "Development and validation of a risk calculator for prediction of cardiac risk after surgery"
      },
      "creatinine": "normal",
      "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": 0.08,
      "formula": "gupta_mica",
      "formula_expression": "L = -5.25 + 0.02*age + functional_status + asa_class + creatinine + surgery (Gupta 2011 Table 2); independent 0, partially_dependent 0.65, totally_dependent 1.03; ASA1 -5.17, ASA2 -3.29, ASA3 -1.92, ASA4 -0.95, ASA5 0; creatinine normal 0, abnormal 0.61, missing -0.10; hernia 0, anorectal -0.16, aortic 1.60, bariatric -0.25, brain 1.40, breast -1.61, cardiac 1.01, ent 0.71, foregut_hpb 1.39, gbaas 0.59, intestinal 1.14, neck 0.18, obstetric_gynecologic 0.76, orthopedic 0.80, other_abdomen 1.13, peripheral_vascular 0.86, skin 0.54, spine 0.21, thoracic 0.40, vein -1.09, urology -0.26; estimated_probability_percent = 100 * exp(L) / (1 + exp(L))",
      "functional_status": "independent",
      "logit": -7.15,
      "surgery": "gbaas"
    },
    {
      "age_years": 40,
      "asa_class": 2,
      "citation": {
        "authors": "Gupta PK, Gupta H, Sundaram A, et al.",
        "doi": "10.1161/CIRCULATIONAHA.110.015701",
        "id": "gupta-2011",
        "pmid": "21730309",
        "source": "Circulation. 2011;124(4):381-387",
        "title": "Development and validation of a risk calculator for prediction of cardiac risk after surgery"
      },
      "creatinine": "normal",
      "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": 0.08,
      "formula": "gupta_mica",
      "formula_expression": "L = -5.25 + 0.02*age + functional_status + asa_class + creatinine + surgery (Gupta 2011 Table 2); independent 0, partially_dependent 0.65, totally_dependent 1.03; ASA1 -5.17, ASA2 -3.29, ASA3 -1.92, ASA4 -0.95, ASA5 0; creatinine normal 0, abnormal 0.61, missing -0.10; hernia 0, anorectal -0.16, aortic 1.60, bariatric -0.25, brain 1.40, breast -1.61, cardiac 1.01, ent 0.71, foregut_hpb 1.39, gbaas 0.59, intestinal 1.14, neck 0.18, obstetric_gynecologic 0.76, orthopedic 0.80, other_abdomen 1.13, peripheral_vascular 0.86, skin 0.54, spine 0.21, thoracic 0.40, vein -1.09, urology -0.26; estimated_probability_percent = 100 * exp(L) / (1 + exp(L))",
      "functional_status": "independent",
      "logit": -7.15,
      "surgery": "gbaas"
    }
  ],
  "path": "/api/calc/gupta_mica"
}

# bash or zsh: see the payment challenge. Nothing is charged.
curl -sS -g -i -X POST 'https://api.magentlab.com/api/calc/gupta_mica' \
  -H 'content-type: application/json' \
  --data-raw '{"items":[{"age":40,"asa_class":2,"creatinine":"normal","functional_status":"independent","surgery":"gbaas"},{"age":40,"asa_class":2,"creatinine":"normal","functional_status":"independent","surgery":"gbaas"}]}'

# 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_mica' \
  -H 'content-type: application/json' \
  --data-raw '{"items":[{"age":40,"asa_class":2,"creatinine":"normal","functional_status":"independent","surgery":"gbaas"},{"age":40,"asa_class":2,"creatinine":"normal","functional_status":"independent","surgery":"gbaas"}]}' \
  | 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_mica&method=POST
const res = await pay("https://api.magentlab.com/api/calc/gupta_mica", {
  method: "POST",
  headers: { "content-type": "application/json" },
  body: JSON.stringify({
    "items": [
      {
        "age": 40,
        "asa_class": 2,
        "creatinine": "normal",
        "functional_status": "independent",
        "surgery": "gbaas"
      },
      {
        "age": 40,
        "asa_class": 2,
        "creatinine": "normal",
        "functional_status": "independent",
        "surgery": "gbaas"
      }
    ]
  }),
});
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_mica",
        json={
            "items": [
                {
                    "age": 40,
                    "asa_class": 2,
                    "creatinine": "normal",
                    "functional_status": "independent",
                    "surgery": "gbaas",
                },
                {
                    "age": 40,
                    "asa_class": 2,
                    "creatinine": "normal",
                    "functional_status": "independent",
                    "surgery": "gbaas",
                },
            ],
        },
    )
    print(res.status_code, res.text)