Calc Score2

{
  "count": 2,
  "items": [
    {
      "age": 50,
      "citation": {
        "authors": "SCORE2 working group and ESC Cardiovascular risk collaboration",
        "doi": "10.1093/eurheartj/ehab309",
        "id": "score2-2021",
        "pmid": "34120177",
        "source": "Eur Heart J. 2021;42(25):2439-2454",
        "title": "SCORE2 risk prediction algorithms: new models to estimate 10-year risk of cardiovascular disease in Europe"
      },
      "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.",
      "european_risk_region": "low",
      "formula": "score2",
      "formula_expression": "10-year fatal+non-fatal CVD % = 100*(1-exp(-exp(scale1+scale2*ln(-ln(1-uncal))))); uncal=1-S0^exp(lp); cage=(age-60)/5; csbp=(SBP-120)/20; charts display non-HDL mmol/L; equation uses TC and HDL at paper HDL centering 1.3 so TC=non-HDL+1.3, ctchol=(TC-6)/1, chdl=0; diabetes terms omitted (not SCORE2-Diabetes); men S0=0.9605 lp=0.3742*cage+0.6012*smoke+0.2777*csbp+0.1458*ctchol-0.2698*chdl-0.0755*cage*smoke-0.0255*cage*csbp-0.0281*cage*ctchol+0.0426*cage*chdl; women S0=0.9776 lp=0.4648*cage+0.7744*smoke+0.3131*csbp+0.1002*ctchol-0.2606*chdl-0.1088*cage*smoke-0.0277*cage*csbp-0.0226*cage*ctchol+0.0613*cage*chdl; region (scale1,scale2) men low (-0.5699,0.7476) moderate (-0.1565,0.8009) high (0.3207,0.9360) very_high (0.5836,0.8294); women low (-0.7380,0.7019) moderate (-0.3143,0.7701) high (0.5710,0.9369) very_high (0.9412,0.8329); SCORE2 2021 four-decimal coefficients (updated supplement Table 1); age 40-69; geographic region not race; not SCORE2-OP; not 2013 PCE",
      "hdl_mmol_l": 1.3,
      "linear_predictor": 0.2315,
      "non_hdl_mmol_l": 4.2,
      "risk_10y_percent": 5.9,
      "sbp_mm_hg": 140,
      "sex": "male",
      "smoker": true,
      "total_cholesterol_mmol_l": 5.5
    },
    {
      "age": 50,
      "citation": {
        "authors": "SCORE2 working group and ESC Cardiovascular risk collaboration",
        "doi": "10.1093/eurheartj/ehab309",
        "id": "score2-2021",
        "pmid": "34120177",
        "source": "Eur Heart J. 2021;42(25):2439-2454",
        "title": "SCORE2 risk prediction algorithms: new models to estimate 10-year risk of cardiovascular disease in Europe"
      },
      "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.",
      "european_risk_region": "low",
      "formula": "score2",
      "formula_expression": "10-year fatal+non-fatal CVD % = 100*(1-exp(-exp(scale1+scale2*ln(-ln(1-uncal))))); uncal=1-S0^exp(lp); cage=(age-60)/5; csbp=(SBP-120)/20; charts display non-HDL mmol/L; equation uses TC and HDL at paper HDL centering 1.3 so TC=non-HDL+1.3, ctchol=(TC-6)/1, chdl=0; diabetes terms omitted (not SCORE2-Diabetes); men S0=0.9605 lp=0.3742*cage+0.6012*smoke+0.2777*csbp+0.1458*ctchol-0.2698*chdl-0.0755*cage*smoke-0.0255*cage*csbp-0.0281*cage*ctchol+0.0426*cage*chdl; women S0=0.9776 lp=0.4648*cage+0.7744*smoke+0.3131*csbp+0.1002*ctchol-0.2606*chdl-0.1088*cage*smoke-0.0277*cage*csbp-0.0226*cage*ctchol+0.0613*cage*chdl; region (scale1,scale2) men low (-0.5699,0.7476) moderate (-0.1565,0.8009) high (0.3207,0.9360) very_high (0.5836,0.8294); women low (-0.7380,0.7019) moderate (-0.3143,0.7701) high (0.5710,0.9369) very_high (0.9412,0.8329); SCORE2 2021 four-decimal coefficients (updated supplement Table 1); age 40-69; geographic region not race; not SCORE2-OP; not 2013 PCE",
      "hdl_mmol_l": 1.3,
      "linear_predictor": 0.2315,
      "non_hdl_mmol_l": 4.2,
      "risk_10y_percent": 5.9,
      "sbp_mm_hg": 140,
      "sex": "male",
      "smoker": true,
      "total_cholesterol_mmol_l": 5.5
    }
  ],
  "path": "/api/calc/score2"
}

# bash or zsh: see the payment challenge. Nothing is charged.
curl -sS -g -i -X POST 'https://api.magentlab.com/api/calc/score2' \
  -H 'content-type: application/json' \
  --data-raw '{"items":[{"age":50,"european_risk_region":"low","non_hdl_mmol_l":4.2,"sbp_mm_hg":140,"sex":"male","smoker":true},{"age":50,"european_risk_region":"low","non_hdl_mmol_l":4.2,"sbp_mm_hg":140,"sex":"male","smoker":true}]}'

# 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/score2' \
  -H 'content-type: application/json' \
  --data-raw '{"items":[{"age":50,"european_risk_region":"low","non_hdl_mmol_l":4.2,"sbp_mm_hg":140,"sex":"male","smoker":true},{"age":50,"european_risk_region":"low","non_hdl_mmol_l":4.2,"sbp_mm_hg":140,"sex":"male","smoker":true}]}' \
  | 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%2Fscore2&method=POST
const res = await pay("https://api.magentlab.com/api/calc/score2", {
  method: "POST",
  headers: { "content-type": "application/json" },
  body: JSON.stringify({
    "items": [
      {
        "age": 50,
        "european_risk_region": "low",
        "non_hdl_mmol_l": 4.2,
        "sbp_mm_hg": 140,
        "sex": "male",
        "smoker": true
      },
      {
        "age": 50,
        "european_risk_region": "low",
        "non_hdl_mmol_l": 4.2,
        "sbp_mm_hg": 140,
        "sex": "male",
        "smoker": true
      }
    ]
  }),
});
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/score2",
        json={
            "items": [
                {
                    "age": 50,
                    "european_risk_region": "low",
                    "non_hdl_mmol_l": 4.2,
                    "sbp_mm_hg": 140,
                    "sex": "male",
                    "smoker": True,
                },
                {
                    "age": 50,
                    "european_risk_region": "low",
                    "non_hdl_mmol_l": 4.2,
                    "sbp_mm_hg": 140,
                    "sex": "male",
                    "smoker": True,
                },
            ],
        },
    )
    print(res.status_code, res.text)