Calc Interchest

{
  "count": 2,
  "items": [
    {
      "age_years": 40,
      "cad_absent": true,
      "cad_probability_ci_high_percent": 3.9,
      "cad_probability_ci_low_percent": 1.1,
      "cad_probability_percent": 2.1,
      "citation": {
        "authors": "Aerts M, Minalu G, Bösner S, Buntinx F, Burnand B, Haasenritter J, Herzig L, Knottnerus JA, Nilsson S, Renier W, Sox C, Sox H, Donner-Banzhoff N, International Working Group on Chest Pain in Primary Care (INTERCHEST)",
        "doi": "10.1016/j.jclinepi.2016.09.011",
        "id": "aerts-2017",
        "pmid": "27773828",
        "source": "J Clin Epidemiol. 2017;81:120-128",
        "title": "Pooled individual patient data from five countries were used to derive a clinical prediction rule for coronary artery disease in primary care"
      },
      "components": [
        {
          "factor": "age_sex",
          "points": 0,
          "present": false,
          "value": 40
        },
        {
          "factor": "physician_suspected_serious",
          "points": 0,
          "present": false
        },
        {
          "factor": "history_of_cad",
          "points": 0,
          "present": false
        },
        {
          "factor": "pain_on_exertion",
          "points": 0,
          "present": false
        },
        {
          "factor": "pressure_quality",
          "points": 0,
          "present": false
        },
        {
          "factor": "pain_reproducible_on_palpation",
          "points": 0,
          "present": 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": "interchest",
      "formula_expression": "INTERCHEST = (age ≥55 if male or ≥65 if female) + physician_suspected_serious + history_of_cad + pain_on_exertion + pressure_quality − pain_reproducible_on_palpation; each ±1; range −1 to 5; CAD considered absent iff score <2 (Aerts 2017); CAD probability 2.1% (95% CI 1.1–3.9) when <2 and 43.0% (35.8–50.4) when ≥2 in the 13.2% prevalence setting",
      "max_score": 5,
      "min_score": -1,
      "prevalence_setting_percent": 13.2,
      "score": 0,
      "sex": "female"
    },
    {
      "age_years": 40,
      "cad_absent": true,
      "cad_probability_ci_high_percent": 3.9,
      "cad_probability_ci_low_percent": 1.1,
      "cad_probability_percent": 2.1,
      "citation": {
        "authors": "Aerts M, Minalu G, Bösner S, Buntinx F, Burnand B, Haasenritter J, Herzig L, Knottnerus JA, Nilsson S, Renier W, Sox C, Sox H, Donner-Banzhoff N, International Working Group on Chest Pain in Primary Care (INTERCHEST)",
        "doi": "10.1016/j.jclinepi.2016.09.011",
        "id": "aerts-2017",
        "pmid": "27773828",
        "source": "J Clin Epidemiol. 2017;81:120-128",
        "title": "Pooled individual patient data from five countries were used to derive a clinical prediction rule for coronary artery disease in primary care"
      },
      "components": [
        {
          "factor": "age_sex",
          "points": 0,
          "present": false,
          "value": 40
        },
        {
          "factor": "physician_suspected_serious",
          "points": 0,
          "present": false
        },
        {
          "factor": "history_of_cad",
          "points": 0,
          "present": false
        },
        {
          "factor": "pain_on_exertion",
          "points": 0,
          "present": false
        },
        {
          "factor": "pressure_quality",
          "points": 0,
          "present": false
        },
        {
          "factor": "pain_reproducible_on_palpation",
          "points": 0,
          "present": 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": "interchest",
      "formula_expression": "INTERCHEST = (age ≥55 if male or ≥65 if female) + physician_suspected_serious + history_of_cad + pain_on_exertion + pressure_quality − pain_reproducible_on_palpation; each ±1; range −1 to 5; CAD considered absent iff score <2 (Aerts 2017); CAD probability 2.1% (95% CI 1.1–3.9) when <2 and 43.0% (35.8–50.4) when ≥2 in the 13.2% prevalence setting",
      "max_score": 5,
      "min_score": -1,
      "prevalence_setting_percent": 13.2,
      "score": 0,
      "sex": "female"
    }
  ],
  "path": "/api/calc/interchest"
}

# bash or zsh: see the payment challenge. Nothing is charged.
curl -sS -g -i -X POST 'https://api.magentlab.com/api/calc/interchest' \
  -H 'content-type: application/json' \
  --data-raw '{"items":[{"age":40,"history_of_cad":false,"pain_on_exertion":false,"pain_reproducible_on_palpation":false,"physician_suspected_serious":false,"pressure_quality":false,"sex":"female"},{"age":40,"history_of_cad":false,"pain_on_exertion":false,"pain_reproducible_on_palpation":false,"physician_suspected_serious":false,"pressure_quality":false,"sex":"female"}]}'

# 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/interchest' \
  -H 'content-type: application/json' \
  --data-raw '{"items":[{"age":40,"history_of_cad":false,"pain_on_exertion":false,"pain_reproducible_on_palpation":false,"physician_suspected_serious":false,"pressure_quality":false,"sex":"female"},{"age":40,"history_of_cad":false,"pain_on_exertion":false,"pain_reproducible_on_palpation":false,"physician_suspected_serious":false,"pressure_quality":false,"sex":"female"}]}' \
  | 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%2Finterchest&method=POST
const res = await pay("https://api.magentlab.com/api/calc/interchest", {
  method: "POST",
  headers: { "content-type": "application/json" },
  body: JSON.stringify({
    "items": [
      {
        "age": 40,
        "history_of_cad": false,
        "pain_on_exertion": false,
        "pain_reproducible_on_palpation": false,
        "physician_suspected_serious": false,
        "pressure_quality": false,
        "sex": "female"
      },
      {
        "age": 40,
        "history_of_cad": false,
        "pain_on_exertion": false,
        "pain_reproducible_on_palpation": false,
        "physician_suspected_serious": false,
        "pressure_quality": false,
        "sex": "female"
      }
    ]
  }),
});
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/interchest",
        json={
            "items": [
                {
                    "age": 40,
                    "history_of_cad": False,
                    "pain_on_exertion": False,
                    "pain_reproducible_on_palpation": False,
                    "physician_suspected_serious": False,
                    "pressure_quality": False,
                    "sex": "female",
                },
                {
                    "age": 40,
                    "history_of_cad": False,
                    "pain_on_exertion": False,
                    "pain_reproducible_on_palpation": False,
                    "physician_suspected_serious": False,
                    "pressure_quality": False,
                    "sex": "female",
                },
            ],
        },
    )
    print(res.status_code, res.text)