ToolVet
69trust / 100

Calc Pcp Hf

by magent in Security & trust

x402 APIFailing, checked 52 min ago

Khan 2019 PCP-HF 10-year incident heart-failure percent for age 30-79 from sex, caller-assigned white or black cohort, treated or untreated systolic BP and fasting glucose, total and HDL cholesterol, BMI, smoking, and QRS duration. Table 2 coefficients. Caller assigns cohort; magent does not assign race. Not PREVENT 2024, not 2013 PCE, not a diagnosis or treatment order. magent does not assay lipids, measure blood pressure, or interpret an ECG.

POST
https://api.magentlab.com/api/calc/pcp_hf
Price
$0.007
per call in USDC
Uptime
97.0%
last 30 days
Response time
174 ms
804 ms slowest 5%
Last check
Failed
52 min ago, next any minute now

Run a free test callHow to call it

Reliability

All checks passedSome failedAll failedNot checked

Latest check failed 52 min ago: Timed out

Status and outage history · Atom feed · Watch with other listings

How to call it

POST https://api.magentlab.com/api/calc/pcp_hf

Each call costs $0.007 in USDC on Base, paid with the request over x402.

Run a free test callOne unpaid request, the way an agent sends it. You see the payment challenge it gets back. Nothing is charged.

Example request

From the listing.

POST https://api.magentlab.com/api/calc/pcp_hf
content-type: application/json

{
  "items": [
    {
      "age": 50,
      "antihypertensive": false,
      "bmi_kg_m2": 22,
      "cohort": "white",
      "diabetes_medication": false,
      "glucose_mg_dl": 90,
      "hdl_mg_dl": 55,
      "qrs_ms": 90,
      "sbp_mm_hg": 120,
      "sex": "female",
      "smoker": false,
      "total_cholesterol_mg_dl": 180
    },
    {
      "age": 50,
      "antihypertensive": false,
      "bmi_kg_m2": 22,
      "cohort": "white",
      "diabetes_medication": false,
      "glucose_mg_dl": 90,
      "hdl_mg_dl": 55,
      "qrs_ms": 90,
      "sbp_mm_hg": 120,
      "sex": "female",
      "smoker": false,
      "total_cholesterol_mg_dl": 180
    }
  ]
}

Parameters

ParameterTypeRequiredDescription
itemsarray of objectYes

Example response

The provider's example. We can't check it without paying. Shortened for display.

Example response, 60 lines
{
  "count": 2,
  "items": [
    {
      "age": 50,
      "antihypertensive": false,
      "bmi_kg_m2": 22,
      "citation": {
        "authors": "Khan SS, Ning H, Shah SJ, Yancy CW, Carnethon M, Berry JD, et al.",
        "doi": "10.1016/j.jacc.2019.02.057",
        "id": "khan-2019-pcp-hf",
        "pmid": "31097157",
        "source": "J Am Coll Cardiol. 2019;73(19):2388-2397",
        "title": "10-Year Risk Equations for Incident Heart Failure in the General Population"
      },
      "cohort": "white",
      "diabetes_medication": 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": "pcp_hf",
      "formula_expression": "10-year incident HF % = 100*(1-S0**exp(IndX-MeanCV)); Khan 2019 Table 2; Ln=natural log; age 30-79; cohort white|black (caller-assigned paper terms; not param race); antihypertensive true uses treated SBP terms only; diabetes_medication true uses treated glucose terms only (not both); interactions only where Table 2 is not N/A; WHITE MALE: ln_age 41.94, ln_age^2 -0.88, ln_treated_sbp 1.03, ln_untreated_sbp 0.91, smoker 0.74, ln_treated_glucose 0.90, ln_untreated_glucose 0.78, ln_tc 0.49, ln_hdl -0.44, ln_bmi 37.2, ln_age*ln_bmi -8.83, ln_qrs 0.63, MeanCV 171.5, S0 0.98752; WHITE FEMALE: ln_age 20.55, ln_treated_sbp 12.95, ln_age*ln_treated_sbp -2.96, ln_untreated_sbp 11.86, ln_age*ln_untreated_sbp -2.73, smoker 11.02, ln_age*smoker -2.50, ln_treated_glucose 1.04, ln_untreated_glucose 0.91, ln_hdl -0.07, ln_bmi 1.33, ln_qrs 1.06, MeanCV 99.73, S0 0.99348; BLACK MALE: ln_age 2.88, ln_treated_sbp 2.31, ln_untreated_sbp 2.17, smoker 1.66, ln_age*smoker -0.25, ln_treated_glucose 0.64, ln_u…",
      "glucose_mg_dl": 90,
      "hdl_mg_dl": 55,
      "individual_sum": 98.7374,
      "qrs_ms": 90,
      "sbp_mm_hg": 120,
      "sex": "female",
      "smoker": false,
      "ten_year_hf_percent": 0.2,
      "total_cholesterol_mg_dl": 180
    },
    {
      "age": 50,
      "antihypertensive": false,
      "bmi_kg_m2": 22,
      "citation": {
        "authors": "Khan SS, Ning H, Shah SJ, Yancy CW, Carnethon M, Berry JD, et al.",
        "doi": "10.1016/j.jacc.2019.02.057",
        "id": "khan-2019-pcp-hf",
        "pmid": "31097157",
        "source": "J Am Coll Cardiol. 2019;73(19):2388-2397",
        "title": "10-Year Risk Equations for Incident Heart Failure in the General Population"
      },
      "cohort": "white",
      "diabetes_medication": 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": "pcp_hf",
      "formula_expression": "10-year incident HF % = 100*(1-S0**exp(IndX-MeanCV)); Khan 2019 Table 2; Ln=natural log; age 30-79; cohort white|black (caller-assigned paper terms; not param race); antihypertensive true uses treated SBP terms only; diabetes_medication true uses treated glucose terms only (not both); interactions only where Table 2 is not N/A; WHITE MALE: ln_age 41.94, ln_age^2 -0.88, ln_treated_sbp 1.03, ln_untreated_sbp 0.91, smoker 0.74, ln_treated_glucose 0.90, ln_untreated_glucose 0.78, ln_tc 0.49, ln_hdl -0.44, ln_bmi 37.2, ln_age*ln_bmi -8.83, ln_qrs 0.63, MeanCV 171.5, S0 0.98752; WHITE FEMALE: ln_age 20.55, ln_treated_sbp 12.95, ln_age*ln_treated_sbp -2.96, ln_untreated_sbp 11.86, ln_age*ln_untreated_sbp -2.73, smoker 11.02, ln_age*smoker -2.50, ln_treated_glucose 1.04, ln_untreated_glucose 0.91, ln_hdl -0.07, ln_bmi 1.33, ln_qrs 1.06, MeanCV 99.73, S0 0.99348; BLACK MALE: ln_age 2.88, ln_treated_sbp 2.31, ln_untreated_sbp 2.17, smoker 1.66, ln_age*smoker -0.25, ln_treated_glucose 0.64, ln_u…",
      "glucose_mg_dl": 90,
      "hdl_mg_dl": 55,
      "individual_sum": 98.7374,
      "qrs_ms": 90,
      "sbp_mm_hg": 120,
      "sex": "female",
      "smoker": false,
      "ten_year_hf_percent": 0.2,
      "total_cholesterol_mg_dl": 180
    }
  ],
  "path": "/api/calc/pcp_hf"
}

Call it from code

The curl command shows the payment challenge. The JavaScript and Python versions pay and call, and never pay more than $0.007.

curl: see the payment challenge
# bash or zsh: see the payment challenge. Nothing is charged.
curl -sS -g -i -X POST 'https://api.magentlab.com/api/calc/pcp_hf' \
  -H 'content-type: application/json' \
  --data-raw '{"items":[{"age":50,"antihypertensive":false,"bmi_kg_m2":22,"cohort":"white","diabetes_medication":false,"glucose_mg_dl":90,"hdl_mg_dl":55,"qrs_ms":90,"sbp_mm_hg":120,"sex":"female","smoker":false,"total_cholesterol_mg_dl":180},{"age":50,"antihypertensive":false,"bmi_kg_m2":22,"cohort":"white","diabetes_medication":false,"glucose_mg_dl":90,"hdl_mg_dl":55,"qrs_ms":90,"sbp_mm_hg":120,"sex":"female","smoker":false,"total_cholesterol_mg_dl":180}]}'

# 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/pcp_hf' \
  -H 'content-type: application/json' \
  --data-raw '{"items":[{"age":50,"antihypertensive":false,"bmi_kg_m2":22,"cohort":"white","diabetes_medication":false,"glucose_mg_dl":90,"hdl_mg_dl":55,"qrs_ms":90,"sbp_mm_hg":120,"sex":"female","smoker":false,"total_cholesterol_mg_dl":180},{"age":50,"antihypertensive":false,"bmi_kg_m2":22,"cohort":"white","diabetes_medication":false,"glucose_mg_dl":90,"hdl_mg_dl":55,"qrs_ms":90,"sbp_mm_hg":120,"sex":"female","smoker":false,"total_cholesterol_mg_dl":180}]}' \
  | grep -i '^payment-required:' | cut -d' ' -f2 | tr -d '\r' | base64 --decode
JavaScript: pay and call
// 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%2Fpcp_hf&method=POST
const res = await pay("https://api.magentlab.com/api/calc/pcp_hf", {
  method: "POST",
  headers: { "content-type": "application/json" },
  body: JSON.stringify({
    "items": [
      {
        "age": 50,
        "antihypertensive": false,
        "bmi_kg_m2": 22,
        "cohort": "white",
        "diabetes_medication": false,
        "glucose_mg_dl": 90,
        "hdl_mg_dl": 55,
        "qrs_ms": 90,
        "sbp_mm_hg": 120,
        "sex": "female",
        "smoker": false,
        "total_cholesterol_mg_dl": 180
      },
      {
        "age": 50,
        "antihypertensive": false,
        "bmi_kg_m2": 22,
        "cohort": "white",
        "diabetes_medication": false,
        "glucose_mg_dl": 90,
        "hdl_mg_dl": 55,
        "qrs_ms": 90,
        "sbp_mm_hg": 120,
        "sex": "female",
        "smoker": false,
        "total_cholesterol_mg_dl": 180
      }
    ]
  }),
});
console.log(res.status, await res.text());
Python: pay and call
# 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/pcp_hf",
        json={
            "items": [
                {
                    "age": 50,
                    "antihypertensive": False,
                    "bmi_kg_m2": 22,
                    "cohort": "white",
                    "diabetes_medication": False,
                    "glucose_mg_dl": 90,
                    "hdl_mg_dl": 55,
                    "qrs_ms": 90,
                    "sbp_mm_hg": 120,
                    "sex": "female",
                    "smoker": False,
                    "total_cholesterol_mg_dl": 180,
                },
                {
                    "age": 50,
                    "antihypertensive": False,
                    "bmi_kg_m2": 22,
                    "cohort": "white",
                    "diabetes_medication": False,
                    "glucose_mg_dl": 90,
                    "hdl_mg_dl": 55,
                    "qrs_ms": 90,
                    "sbp_mm_hg": 120,
                    "sex": "female",
                    "smoker": False,
                    "total_cholesterol_mg_dl": 180,
                },
            ],
        },
    )
    print(res.status_code, res.text)

Security scan

1 finding

  • Charges more than its listed price in payment
    Listed at $0.005, charges $0.007

Recent checks

WhenResultHTTPTimePrice
52 min agoTimed out---
6 h agoPassed402169 ms$0.007
10 h agoPassed402166 ms$0.007
15 h agoPassed402261 ms$0.007
20 h agoPassed402169 ms$0.007
Show 10 older checks
24 h agoPassed402609 ms$0.007
29 h agoPassed402321 ms$0.007
33 h agoPassed402254 ms$0.007
37 h agoPassed402332 ms$0.007
42 h agoPassed402160 ms$0.007
46 h agoPassed402167 ms$0.007
2 days agoPassed4023.3 s$0.007
2 days agoPassed402804 ms$0.007
2 days agoPassed402172 ms$0.007
3 days agoPassed402312 ms$0.007

History

11 Oct 2026Price changed from $0.005 to $0.007