78trust / 100

Calc Maggic

by magent in Other

x402 APIPassing, checked 3 h ago

Pocock 2013 MAGGIC integer score from 13 heart-failure predictors (age, EF, NYHA, creatinine, diabetes, not prescribed beta-blocker, SBP, BMI, HF duration >18 months, current smoker, COPD, male sex, not prescribed ACEI/ARB), including the published age×EF and SBP×EF extras. Returns integer score and Table 4 1-year and 3-year death probabilities for scores 0-50. Not a diagnosis, not a treatment order, not a reason to withhold therapy. magent does not examine the patient.

POST
https://api.magentlab.com/api/calc/maggic
Price
$0.005
per call in USDC
Uptime
100%
last 30 days
Response time
290 ms
757 ms slowest 5%
Last check
Passed
3 h ago, next any minute now

Run a free test callHow to call it

Reliability

All checks passedSome failedAll failedNot checked

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

How to call it

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

Each call costs $0.005 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/maggic
content-type: application/json

{
  "items": [
    {
      "acei_arb": true,
      "age": 50,
      "beta_blocker": true,
      "bmi_kg_m2": 30,
      "copd": false,
      "creatinine_mg_dl": 0.9,
      "creatinine_umol_l": 80,
      "current_smoker": false,
      "diabetes": false,
      "ef_percent": 55,
      "hf_duration_gt_18_months": false,
      "nyha_class": 1,
      "sex": "female",
      "systolic_mm_hg": 150
    },
    {
      "acei_arb": true,
      "age": 50,
      "beta_blocker": true,
      "bmi_kg_m2": 30,
      "copd": false,
      "creatinine_mg_dl": 0.9,
      "creatinine_umol_l": 80,
      "current_smoker": false,
      "diabetes": false,
      "ef_percent": 55,
      "hf_duration_gt_18_months": false,
      "nyha_class": 1,
      "sex": "female",
      "systolic_mm_hg": 150
    }
  ]
}

Parameters

ParameterTypeRequiredDescription
itemsarray of objectYes

Example response

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

Example response, 210 lines
{
  "count": 2,
  "items": [
    {
      "acei_arb": true,
      "age_years": 50,
      "beta_blocker": true,
      "bmi_kg_m2": 30,
      "citation": {
        "authors": "Pocock SJ, Ariti CA, McMurray JJV, Maggioni A, Køber L, Squire IB, Swedberg K, Dobson J, Poppe KK, Whalley GA, Doughty RN",
        "doi": "10.1093/eurheartj/ehs337",
        "id": "pocock-2013",
        "pmid": "23186806",
        "source": "Eur Heart J. 2013;34(19):1404-1413",
        "title": "Predicting survival in heart failure: a risk score based on 39 372 patients from 30 studies"
      },
      "components": [
        {
          "factor": "ef",
          "points": 0,
          "present": false,
          "value": 55
        },
        {
          "factor": "age",
          "points": 0,
          "present": false,
          "value": 50
        },
        {
          "factor": "systolic_mm_hg",
          "points": 0,
          "present": false,
          "value": 150
        },
        {
          "factor": "bmi",
          "points": 0,
          "present": false,
          "value": 30
        },
        {
          "factor": "creatinine",
          "points": 0,
          "present": false,
          "value": 80
        },
        {
          "factor": "nyha_class",
          "points": 0,
          "present": false,
          "value": 1
        },
        {
          "factor": "diabetes",
          "points": 0,
          "present": false
        },
        {
          "factor": "not_prescribed_beta_blocker",
          "points": 0,
          "present": false
        },
        {
          "factor": "hf_duration_gt_18_months",
          "points": 0,
          "present": false
        },
        {
          "factor": "current_smoker",
          "points": 0,
          "present": false
        },
        {
          "factor": "copd",
          "points": 0,
          "present": false
        },
        {
          "factor": "male_sex",
          "points": 0,
          "present": false
        },
        {
          "factor": "not_prescribed_acei_arb",
          "points": 0,
          "present": false
        }
      ],
      "copd": false,
      "creatinine_umol_l": 80,
      "current_smoker": false,
      "death_probability_1y": 0.015,
      "death_probability_3y": 0.039,
      "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.",
      "ef_percent": 55,
      "formula": "maggic",
      "formula_expression": "MAGGIC integer score (Pocock 2013 Figure 2): EF <20 7, 20-24 6, 25-29 5, 30-34 3, 35-39 2, >=40 0; age extra by EF (<30 / 30-39 / >=40): <55 0/0/0, 55-59 1/2/3, 60-64 2/4/5, 65-69 4/6/7, 70-74 6/8/9, 75-79 8/10/12, >=80 10/13/15; SBP extra by EF: <110 5/3/2, 110-119 4/2/1, 120-129 3/1/1, 130-139 2/1/0, 140-149 1/0/0, >=150 0/0/0; BMI <15 6, 15-19 5, 20-24 3, 25-29 2, >=30 0; creatinine umol/L <90 0, 90-109 1, 110-129 2, 130-149 3, 150-169 4, 170-209 5, 210-249 6, >=250 8; NYHA I 0, II 2, III 6, IV 8; male 1; current smoker 1; diabetes 3; COPD 2; HF duration >18 months 2; not prescribed beta-blocker 3; not prescribed ACEI/ARB 1; Table 4 1-year and 3-year death probabilities for scores 0-50",
      "hf_duration_gt_18_months": false,
      "nyha_class": 1,
      "score": 0,
      "sex": "female",
      "systolic_mm_hg": 150
    },
    {
      "acei_arb": true,
      "age_years": 50,
      "beta_blocker": true,
      "bmi_kg_m2": 30,
      "citation": {
        "authors": "Pocock SJ, Ariti CA, McMurray JJV, Maggioni A, Køber L, Squire IB, Swedberg K, Dobson J, Poppe KK, Whalley GA, Doughty RN",
        "doi": "10.1093/eurheartj/ehs337",
        "id": "pocock-2013",
        "pmid": "23186806",
        "source": "Eur Heart J. 2013;34(19):1404-1413",
        "title": "Predicting survival in heart failure: a risk score based on 39 372 patients from 30 studies"
      },
      "components": [
        {
          "factor": "ef",
          "points": 0,
          "present": false,
          "value": 55
        },
        {
          "factor": "age",
          "points": 0,
          "present": false,
          "value": 50
        },
        {
          "factor": "systolic_mm_hg",
          "points": 0,
          "present": false,
          "value": 150
        },
        {
          "factor": "bmi",
          "points": 0,
          "present": false,
          "value": 30
        },
        {
          "factor": "creatinine",
          "points": 0,
          "present": false,
          "value": 80
        },
        {
          "factor": "nyha_class",
          "points": 0,
          "present": false,
          "value": 1
        },
        {
          "factor": "diabetes",
          "points": 0,
          "present": false
        },
        {
          "factor": "not_prescribed_beta_blocker",
          "points": 0,
          "present": false
        },
        {
          "factor": "hf_duration_gt_18_months",
          "points": 0,
          "present": false
        },
        {
          "factor": "current_smoker",
          "points": 0,
          "present": false
        },
        {
          "factor": "copd",
          "points": 0,
          "present": false
        },
        {
          "factor": "male_sex",
          "points": 0,
          "present": false
        },
        {
          "factor": "not_prescribed_acei_arb",
          "points": 0,
          "present": false
        }
      ],
      "copd": false,
      "creatinine_umol_l": 80,
      "current_smoker": false,
      "death_probability_1y": 0.015,
      "death_probability_3y": 0.039,
      "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.",
      "ef_percent": 55,
      "formula": "maggic",
      "formula_expression": "MAGGIC integer score (Pocock 2013 Figure 2): EF <20 7, 20-24 6, 25-29 5, 30-34 3, 35-39 2, >=40 0; age extra by EF (<30 / 30-39 / >=40): <55 0/0/0, 55-59 1/2/3, 60-64 2/4/5, 65-69 4/6/7, 70-74 6/8/9, 75-79 8/10/12, >=80 10/13/15; SBP extra by EF: <110 5/3/2, 110-119 4/2/1, 120-129 3/1/1, 130-139 2/1/0, 140-149 1/0/0, >=150 0/0/0; BMI <15 6, 15-19 5, 20-24 3, 25-29 2, >=30 0; creatinine umol/L <90 0, 90-109 1, 110-129 2, 130-149 3, 150-169 4, 170-209 5, 210-249 6, >=250 8; NYHA I 0, II 2, III 6, IV 8; male 1; current smoker 1; diabetes 3; COPD 2; HF duration >18 months 2; not prescribed beta-blocker 3; not prescribed ACEI/ARB 1; Table 4 1-year and 3-year death probabilities for scores 0-50",
      "hf_duration_gt_18_months": false,
      "nyha_class": 1,
      "score": 0,
      "sex": "female",
      "systolic_mm_hg": 150
    }
  ],
  "path": "/api/calc/maggic"
}

Call it from code

The curl command shows the payment challenge. The JavaScript and Python versions pay and call, and never pay more than $0.005.

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/maggic' \
  -H 'content-type: application/json' \
  --data-raw '{"items":[{"acei_arb":true,"age":50,"beta_blocker":true,"bmi_kg_m2":30,"copd":false,"creatinine_mg_dl":0.9,"creatinine_umol_l":80,"current_smoker":false,"diabetes":false,"ef_percent":55,"hf_duration_gt_18_months":false,"nyha_class":1,"sex":"female","systolic_mm_hg":150},{"acei_arb":true,"age":50,"beta_blocker":true,"bmi_kg_m2":30,"copd":false,"creatinine_mg_dl":0.9,"creatinine_umol_l":80,"current_smoker":false,"diabetes":false,"ef_percent":55,"hf_duration_gt_18_months":false,"nyha_class":1,"sex":"female","systolic_mm_hg":150}]}'

# 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/maggic' \
  -H 'content-type: application/json' \
  --data-raw '{"items":[{"acei_arb":true,"age":50,"beta_blocker":true,"bmi_kg_m2":30,"copd":false,"creatinine_mg_dl":0.9,"creatinine_umol_l":80,"current_smoker":false,"diabetes":false,"ef_percent":55,"hf_duration_gt_18_months":false,"nyha_class":1,"sex":"female","systolic_mm_hg":150},{"acei_arb":true,"age":50,"beta_blocker":true,"bmi_kg_m2":30,"copd":false,"creatinine_mg_dl":0.9,"creatinine_umol_l":80,"current_smoker":false,"diabetes":false,"ef_percent":55,"hf_duration_gt_18_months":false,"nyha_class":1,"sex":"female","systolic_mm_hg":150}]}' \
  | 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 $0.005 per call.
const client = new x402Client().setSpendControls({ maxAmountPerPayment: "$0.005" });
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 $0.005 per payment. GET https://toolvet.app/api/v1/check?url=https%3A%2F%2Fapi.magentlab.com%2Fapi%2Fcalc%2Fmaggic&method=POST
const res = await pay("https://api.magentlab.com/api/calc/maggic", {
  method: "POST",
  headers: { "content-type": "application/json" },
  body: JSON.stringify({
    "items": [
      {
        "acei_arb": true,
        "age": 50,
        "beta_blocker": true,
        "bmi_kg_m2": 30,
        "copd": false,
        "creatinine_mg_dl": 0.9,
        "creatinine_umol_l": 80,
        "current_smoker": false,
        "diabetes": false,
        "ef_percent": 55,
        "hf_duration_gt_18_months": false,
        "nyha_class": 1,
        "sex": "female",
        "systolic_mm_hg": 150
      },
      {
        "acei_arb": true,
        "age": 50,
        "beta_blocker": true,
        "bmi_kg_m2": 30,
        "copd": false,
        "creatinine_mg_dl": 0.9,
        "creatinine_umol_l": 80,
        "current_smoker": false,
        "diabetes": false,
        "ef_percent": 55,
        "hf_duration_gt_18_months": false,
        "nyha_class": 1,
        "sex": "female",
        "systolic_mm_hg": 150
      }
    ]
  }),
});
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 $0.005 per call.
client = x402ClientSync().set_spend_controls({"max_amount_per_payment": "$0.005"})
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/maggic",
        json={
            "items": [
                {
                    "acei_arb": True,
                    "age": 50,
                    "beta_blocker": True,
                    "bmi_kg_m2": 30,
                    "copd": False,
                    "creatinine_mg_dl": 0.9,
                    "creatinine_umol_l": 80,
                    "current_smoker": False,
                    "diabetes": False,
                    "ef_percent": 55,
                    "hf_duration_gt_18_months": False,
                    "nyha_class": 1,
                    "sex": "female",
                    "systolic_mm_hg": 150,
                },
                {
                    "acei_arb": True,
                    "age": 50,
                    "beta_blocker": True,
                    "bmi_kg_m2": 30,
                    "copd": False,
                    "creatinine_mg_dl": 0.9,
                    "creatinine_umol_l": 80,
                    "current_smoker": False,
                    "diabetes": False,
                    "ef_percent": 55,
                    "hf_duration_gt_18_months": False,
                    "nyha_class": 1,
                    "sex": "female",
                    "systolic_mm_hg": 150,
                },
            ],
        },
    )
    print(res.status_code, res.text)

Security scan

No findings

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Recent checks

WhenResultHTTPTimePrice
3 h agoPassed402366 ms$0.005
8 h agoPassed402303 ms$0.005
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21 h agoPassed402323 ms$0.005
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25 h agoPassed4021.7 s$0.005
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42 h agoPassed402148 ms$0.005
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