Calc Ascvd Pce

{
  "count": 2,
  "items": [
    {
      "age": 55,
      "antihypertensive": false,
      "citation": {
        "authors": "Goff DC Jr, Lloyd-Jones DM, Bennett G, Coady S, D'Agostino RB, Gibbons R, Greenland P, Lackland DT, Levy D, O'Donnell CJ, Robinson JG, Schwartz JS, Shero ST, Smith SC Jr, Sorlie P, Stone NJ, Wilson PW",
        "doi": "10.1161/01.cir.0000437741.48606.98",
        "id": "goff-2013-pce",
        "pmid": "24222018",
        "source": "Circulation. 2014;129(25 Suppl 2):S49-S73",
        "title": "2013 ACC/AHA Guideline on the Assessment of Cardiovascular Risk: A Report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines"
      },
      "cohort": "white",
      "diabetes": 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": "ascvd_pce",
      "formula_expression": "10-year hard ASCVD % = 100*(1-S10**exp(individualSum-meanSum)); Goff 2013 Table A; Ln=natural log; age 40-79; cohort white|african_american (caller-assigned paper terms; not param race; Recommendation 2 is not a silent swap); treated vs untreated SBP (not both); interactions only where Table A is not N/A; WHITE WOMEN: ln_age -29.799, ln_age^2 4.884, ln_tc 13.540, ln_age*ln_tc -3.114, ln_hdl -13.578, ln_age*ln_hdl 3.149, ln_treated_sbp 2.019, ln_untreated_sbp 1.957, smoker 7.574, ln_age*smoker -1.665, diabetes 0.661, meanSum -29.18, S10 0.9665; AFRICAN AMERICAN WOMEN: ln_age 17.114, ln_tc 0.940, ln_hdl -18.920, ln_age*ln_hdl 4.475, ln_treated_sbp 29.291, ln_age*ln_treated_sbp -6.432, ln_untreated_sbp 27.820, ln_age*ln_untreated_sbp -6.087, smoker 0.691, diabetes 0.874, meanSum 86.61, S10 0.9533; WHITE MEN: ln_age 12.344, ln_tc 11.853, ln_age*ln_tc -2.664, ln_hdl -7.990, ln_age*ln_hdl 1.769, ln_treated_sbp 1.797, ln_untreated_sbp 1.764, smoker 7.837, ln_age*smoker -1.795, diabetes 0.658…",
      "hdl_mg_dl": 50,
      "individual_sum": -29.6767,
      "sbp_mm_hg": 120,
      "sex": "female",
      "smoker": false,
      "ten_year_ascvd_percent": 2.1,
      "total_cholesterol_mg_dl": 213
    },
    {
      "age": 55,
      "antihypertensive": false,
      "citation": {
        "authors": "Goff DC Jr, Lloyd-Jones DM, Bennett G, Coady S, D'Agostino RB, Gibbons R, Greenland P, Lackland DT, Levy D, O'Donnell CJ, Robinson JG, Schwartz JS, Shero ST, Smith SC Jr, Sorlie P, Stone NJ, Wilson PW",
        "doi": "10.1161/01.cir.0000437741.48606.98",
        "id": "goff-2013-pce",
        "pmid": "24222018",
        "source": "Circulation. 2014;129(25 Suppl 2):S49-S73",
        "title": "2013 ACC/AHA Guideline on the Assessment of Cardiovascular Risk: A Report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines"
      },
      "cohort": "white",
      "diabetes": 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": "ascvd_pce",
      "formula_expression": "10-year hard ASCVD % = 100*(1-S10**exp(individualSum-meanSum)); Goff 2013 Table A; Ln=natural log; age 40-79; cohort white|african_american (caller-assigned paper terms; not param race; Recommendation 2 is not a silent swap); treated vs untreated SBP (not both); interactions only where Table A is not N/A; WHITE WOMEN: ln_age -29.799, ln_age^2 4.884, ln_tc 13.540, ln_age*ln_tc -3.114, ln_hdl -13.578, ln_age*ln_hdl 3.149, ln_treated_sbp 2.019, ln_untreated_sbp 1.957, smoker 7.574, ln_age*smoker -1.665, diabetes 0.661, meanSum -29.18, S10 0.9665; AFRICAN AMERICAN WOMEN: ln_age 17.114, ln_tc 0.940, ln_hdl -18.920, ln_age*ln_hdl 4.475, ln_treated_sbp 29.291, ln_age*ln_treated_sbp -6.432, ln_untreated_sbp 27.820, ln_age*ln_untreated_sbp -6.087, smoker 0.691, diabetes 0.874, meanSum 86.61, S10 0.9533; WHITE MEN: ln_age 12.344, ln_tc 11.853, ln_age*ln_tc -2.664, ln_hdl -7.990, ln_age*ln_hdl 1.769, ln_treated_sbp 1.797, ln_untreated_sbp 1.764, smoker 7.837, ln_age*smoker -1.795, diabetes 0.658…",
      "hdl_mg_dl": 50,
      "individual_sum": -29.6767,
      "sbp_mm_hg": 120,
      "sex": "female",
      "smoker": false,
      "ten_year_ascvd_percent": 2.1,
      "total_cholesterol_mg_dl": 213
    }
  ],
  "path": "/api/calc/ascvd_pce"
}

# bash or zsh: see the payment challenge. Nothing is charged.
curl -sS -g -i -X POST 'https://api.magentlab.com/api/calc/ascvd_pce' \
  -H 'content-type: application/json' \
  --data-raw '{"items":[{"age":55,"antihypertensive":false,"cohort":"white","diabetes":false,"hdl_mg_dl":50,"sbp_mm_hg":120,"sex":"female","smoker":false,"total_cholesterol_mg_dl":213},{"age":55,"antihypertensive":false,"cohort":"white","diabetes":false,"hdl_mg_dl":50,"sbp_mm_hg":120,"sex":"female","smoker":false,"total_cholesterol_mg_dl":213}]}'

# 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/ascvd_pce' \
  -H 'content-type: application/json' \
  --data-raw '{"items":[{"age":55,"antihypertensive":false,"cohort":"white","diabetes":false,"hdl_mg_dl":50,"sbp_mm_hg":120,"sex":"female","smoker":false,"total_cholesterol_mg_dl":213},{"age":55,"antihypertensive":false,"cohort":"white","diabetes":false,"hdl_mg_dl":50,"sbp_mm_hg":120,"sex":"female","smoker":false,"total_cholesterol_mg_dl":213}]}' \
  | 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%2Fascvd_pce&method=POST
const res = await pay("https://api.magentlab.com/api/calc/ascvd_pce", {
  method: "POST",
  headers: { "content-type": "application/json" },
  body: JSON.stringify({
    "items": [
      {
        "age": 55,
        "antihypertensive": false,
        "cohort": "white",
        "diabetes": false,
        "hdl_mg_dl": 50,
        "sbp_mm_hg": 120,
        "sex": "female",
        "smoker": false,
        "total_cholesterol_mg_dl": 213
      },
      {
        "age": 55,
        "antihypertensive": false,
        "cohort": "white",
        "diabetes": false,
        "hdl_mg_dl": 50,
        "sbp_mm_hg": 120,
        "sex": "female",
        "smoker": false,
        "total_cholesterol_mg_dl": 213
      }
    ]
  }),
});
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/ascvd_pce",
        json={
            "items": [
                {
                    "age": 55,
                    "antihypertensive": False,
                    "cohort": "white",
                    "diabetes": False,
                    "hdl_mg_dl": 50,
                    "sbp_mm_hg": 120,
                    "sex": "female",
                    "smoker": False,
                    "total_cholesterol_mg_dl": 213,
                },
                {
                    "age": 55,
                    "antihypertensive": False,
                    "cohort": "white",
                    "diabetes": False,
                    "hdl_mg_dl": 50,
                    "sbp_mm_hg": 120,
                    "sex": "female",
                    "smoker": False,
                    "total_cholesterol_mg_dl": 213,
                },
            ],
        },
    )
    print(res.status_code, res.text)