ToolVet
78trust / 100

Calc Medped

by magent in Documents & files

x402 APIPassing, checked 2 h ago

Williams 1993 US MEDPED total cholesterol cutoffs by age and relative degree (first, second, third, or general population). Meets the published criterion iff total cholesterol in mg/dL is greater than the table cutoff (mmol/L converted as mg/dL = mmol/L * 38.67). Total cholesterol only; not Dutch Lipid Clinic or Simon Broome. Not a medical device and not a diagnosis of familial hypercholesterolemia.

POST
https://api.magentlab.com/api/calc/medped
Price
$0.005
per call in USDC
Uptime
100%
last 30 days
Response time
233 ms
483 ms slowest 5%
Last check
Passed
2 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/medped

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/medped
content-type: application/json

{
  "items": [
    {
      "age": 50,
      "relative_degree": "general_population",
      "total_cholesterol_mg_dl": 200,
      "total_cholesterol_mmol_l": 10
    },
    {
      "age": 50,
      "relative_degree": "general_population",
      "total_cholesterol_mg_dl": 200,
      "total_cholesterol_mmol_l": 10
    }
  ]
}

Parameters

ParameterTypeRequiredDescription
itemsarray of objectYes

Example response

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

Example response, 60 lines
{
  "count": 2,
  "items": [
    {
      "age": 50,
      "citation": {
        "authors": "Williams RR, Hunt SC, Schumacher MC, Hegele RA, Leppert MF, Ludwig EH, Hopkins PN",
        "doi": "10.1016/0002-9149(93)90155-6",
        "id": "williams-1993",
        "pmid": "8328379",
        "source": "Am J Cardiol. 1993;72(2):171-176",
        "title": "Diagnosing heterozygous familial hypercholesterolemia using new practical criteria validated by molecular genetics"
      },
      "classification": "below_cutoff",
      "criteria": [
        {
          "cutoff_mg_dl": 360,
          "factor": "total_cholesterol_gt_cutoff",
          "met": false,
          "value": 200
        }
      ],
      "cutoff_mg_dl": 360,
      "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": "medped",
      "formula_expression": "meets_criteria iff total_cholesterol_mg_dl > cutoff_mg_dl (Williams 1993 US MEDPED total cholesterol); mmol/L converted as mg/dL = mmol/L * 38.67; age <20: first 220, second 230, third 240, general_population 270; 20-29: 240/250/260/290; 30-39: 270/280/290/340; >=40: 290/300/310/360",
      "meets_criteria": false,
      "relative_degree": "general_population",
      "total_cholesterol_mg_dl": 200
    },
    {
      "age": 50,
      "citation": {
        "authors": "Williams RR, Hunt SC, Schumacher MC, Hegele RA, Leppert MF, Ludwig EH, Hopkins PN",
        "doi": "10.1016/0002-9149(93)90155-6",
        "id": "williams-1993",
        "pmid": "8328379",
        "source": "Am J Cardiol. 1993;72(2):171-176",
        "title": "Diagnosing heterozygous familial hypercholesterolemia using new practical criteria validated by molecular genetics"
      },
      "classification": "below_cutoff",
      "criteria": [
        {
          "cutoff_mg_dl": 360,
          "factor": "total_cholesterol_gt_cutoff",
          "met": false,
          "value": 200
        }
      ],
      "cutoff_mg_dl": 360,
      "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": "medped",
      "formula_expression": "meets_criteria iff total_cholesterol_mg_dl > cutoff_mg_dl (Williams 1993 US MEDPED total cholesterol); mmol/L converted as mg/dL = mmol/L * 38.67; age <20: first 220, second 230, third 240, general_population 270; 20-29: 240/250/260/290; 30-39: 270/280/290/340; >=40: 290/300/310/360",
      "meets_criteria": false,
      "relative_degree": "general_population",
      "total_cholesterol_mg_dl": 200
    }
  ],
  "path": "/api/calc/medped"
}

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/medped' \
  -H 'content-type: application/json' \
  --data-raw '{"items":[{"age":50,"relative_degree":"general_population","total_cholesterol_mg_dl":200,"total_cholesterol_mmol_l":10},{"age":50,"relative_degree":"general_population","total_cholesterol_mg_dl":200,"total_cholesterol_mmol_l":10}]}'

# 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/medped' \
  -H 'content-type: application/json' \
  --data-raw '{"items":[{"age":50,"relative_degree":"general_population","total_cholesterol_mg_dl":200,"total_cholesterol_mmol_l":10},{"age":50,"relative_degree":"general_population","total_cholesterol_mg_dl":200,"total_cholesterol_mmol_l":10}]}' \
  | 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%2Fmedped&method=POST
const res = await pay("https://api.magentlab.com/api/calc/medped", {
  method: "POST",
  headers: { "content-type": "application/json" },
  body: JSON.stringify({
    "items": [
      {
        "age": 50,
        "relative_degree": "general_population",
        "total_cholesterol_mg_dl": 200,
        "total_cholesterol_mmol_l": 10
      },
      {
        "age": 50,
        "relative_degree": "general_population",
        "total_cholesterol_mg_dl": 200,
        "total_cholesterol_mmol_l": 10
      }
    ]
  }),
});
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/medped",
        json={
            "items": [
                {
                    "age": 50,
                    "relative_degree": "general_population",
                    "total_cholesterol_mg_dl": 200,
                    "total_cholesterol_mmol_l": 10,
                },
                {
                    "age": 50,
                    "relative_degree": "general_population",
                    "total_cholesterol_mg_dl": 200,
                    "total_cholesterol_mmol_l": 10,
                },
            ],
        },
    )
    print(res.status_code, res.text)

Security scan

No findings

We scan names, descriptions and tool definitions for hidden instructions and other prompt-injection patterns.

Recent checks

WhenResultHTTPTimePrice
2 h agoPassed402221 ms$0.005
6 h agoPassed402140 ms$0.005
11 h agoPassed402226 ms$0.005
15 h agoPassed402243 ms$0.005
19 h agoPassed402385 ms$0.005
Show 10 older checks
23 h agoPassed402418 ms$0.005
28 h agoPassed402146 ms$0.005
32 h agoPassed402233 ms$0.005
36 h agoPassed402143 ms$0.005
40 h agoPassed402289 ms$0.005
44 h agoPassed402284 ms$0.005
2 days agoPassed402228 ms$0.005
2 days agoPassed402333 ms$0.005
2 days agoPassed402483 ms$0.005
3 days agoPassed402634 ms$0.005