Calc Score2 Op

{
  "count": 2,
  "items": [
    {
      "age": 75,
      "citation": {
        "authors": "SCORE2-OP working group and ESC Cardiovascular risk collaboration",
        "doi": "10.1093/eurheartj/ehab312",
        "id": "score2-op-2021",
        "pmid": "34120185",
        "source": "Eur Heart J. 2021;42(25):2455-2467",
        "title": "SCORE2-OP risk prediction algorithms: estimating incident cardiovascular event risk in older persons in four geographical risk regions"
      },
      "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.",
      "european_risk_region": "low",
      "formula": "score2_op",
      "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-73; csbp=(SBP-150)/10; charts display non-HDL mmol/L; equation uses TC and HDL at paper HDL centering 1.4 so TC=non-HDL+1.4, ctc=TC-6, chdl=0; diabetes is included (not SCORE2-Diabetes); men S0=0.7576 lp=0.063*cage+0.425*diabetes-0.017*cage*diabetes+0.352*smoke-0.025*cage*smoke+0.094*csbp-0.005*cage*csbp+0.085*ctc+0.007*cage*ctc-0.356*chdl+0.009*cage*chdl; women S0=0.8082 lp=0.079*cage+0.601*diabetes-0.011*cage*diabetes+0.492*smoke-0.026*cage*smoke+0.102*csbp-0.004*cage*csbp+0.060*ctc-0.001*cage*ctc-0.304*chdl+0.015*cage*chdl; region (scale1,scale2) men low (-0.3400,1.1900) moderate (0.0100,1.2500) high (0.0800,1.1500) very_high (0.0500,0.7000); women low (-0.5200,1.0100) moderate (-0.1000,1.1000) high (0.3800,1.0900) very_high (0.3800,0.6900); SCORE2-OP 2021 Table 2 coefficients and supplement four-decimal scale1/scale2 and baseline survival; age 70-89; geographic region no…",
      "hdl_mmol_l": 1.4,
      "linear_predictor": 0.4181,
      "non_hdl_mmol_l": 4.5,
      "risk_10y_percent": 22.5,
      "sbp_mm_hg": 150,
      "sex": "male",
      "smoker": true,
      "total_cholesterol_mmol_l": 5.9
    },
    {
      "age": 75,
      "citation": {
        "authors": "SCORE2-OP working group and ESC Cardiovascular risk collaboration",
        "doi": "10.1093/eurheartj/ehab312",
        "id": "score2-op-2021",
        "pmid": "34120185",
        "source": "Eur Heart J. 2021;42(25):2455-2467",
        "title": "SCORE2-OP risk prediction algorithms: estimating incident cardiovascular event risk in older persons in four geographical risk regions"
      },
      "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.",
      "european_risk_region": "low",
      "formula": "score2_op",
      "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-73; csbp=(SBP-150)/10; charts display non-HDL mmol/L; equation uses TC and HDL at paper HDL centering 1.4 so TC=non-HDL+1.4, ctc=TC-6, chdl=0; diabetes is included (not SCORE2-Diabetes); men S0=0.7576 lp=0.063*cage+0.425*diabetes-0.017*cage*diabetes+0.352*smoke-0.025*cage*smoke+0.094*csbp-0.005*cage*csbp+0.085*ctc+0.007*cage*ctc-0.356*chdl+0.009*cage*chdl; women S0=0.8082 lp=0.079*cage+0.601*diabetes-0.011*cage*diabetes+0.492*smoke-0.026*cage*smoke+0.102*csbp-0.004*cage*csbp+0.060*ctc-0.001*cage*ctc-0.304*chdl+0.015*cage*chdl; region (scale1,scale2) men low (-0.3400,1.1900) moderate (0.0100,1.2500) high (0.0800,1.1500) very_high (0.0500,0.7000); women low (-0.5200,1.0100) moderate (-0.1000,1.1000) high (0.3800,1.0900) very_high (0.3800,0.6900); SCORE2-OP 2021 Table 2 coefficients and supplement four-decimal scale1/scale2 and baseline survival; age 70-89; geographic region no…",
      "hdl_mmol_l": 1.4,
      "linear_predictor": 0.4181,
      "non_hdl_mmol_l": 4.5,
      "risk_10y_percent": 22.5,
      "sbp_mm_hg": 150,
      "sex": "male",
      "smoker": true,
      "total_cholesterol_mmol_l": 5.9
    }
  ],
  "path": "/api/calc/score2_op"
}

# bash or zsh: see the payment challenge. Nothing is charged.
curl -sS -g -i -X POST 'https://api.magentlab.com/api/calc/score2_op' \
  -H 'content-type: application/json' \
  --data-raw '{"items":[{"age":75,"diabetes":false,"european_risk_region":"low","non_hdl_mmol_l":4.5,"sbp_mm_hg":150,"sex":"male","smoker":true},{"age":75,"diabetes":false,"european_risk_region":"low","non_hdl_mmol_l":4.5,"sbp_mm_hg":150,"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_op' \
  -H 'content-type: application/json' \
  --data-raw '{"items":[{"age":75,"diabetes":false,"european_risk_region":"low","non_hdl_mmol_l":4.5,"sbp_mm_hg":150,"sex":"male","smoker":true},{"age":75,"diabetes":false,"european_risk_region":"low","non_hdl_mmol_l":4.5,"sbp_mm_hg":150,"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_op&method=POST
const res = await pay("https://api.magentlab.com/api/calc/score2_op", {
  method: "POST",
  headers: { "content-type": "application/json" },
  body: JSON.stringify({
    "items": [
      {
        "age": 75,
        "diabetes": false,
        "european_risk_region": "low",
        "non_hdl_mmol_l": 4.5,
        "sbp_mm_hg": 150,
        "sex": "male",
        "smoker": true
      },
      {
        "age": 75,
        "diabetes": false,
        "european_risk_region": "low",
        "non_hdl_mmol_l": 4.5,
        "sbp_mm_hg": 150,
        "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_op",
        json={
            "items": [
                {
                    "age": 75,
                    "diabetes": False,
                    "european_risk_region": "low",
                    "non_hdl_mmol_l": 4.5,
                    "sbp_mm_hg": 150,
                    "sex": "male",
                    "smoker": True,
                },
                {
                    "age": 75,
                    "diabetes": False,
                    "european_risk_region": "low",
                    "non_hdl_mmol_l": 4.5,
                    "sbp_mm_hg": 150,
                    "sex": "male",
                    "smoker": True,
                },
            ],
        },
    )
    print(res.status_code, res.text)