78trust / 100

Calc Nafcs

by magent in Other

x402 APIPassing, checked 2 h ago

Hegele 2025 NAFCS. Table 3 points from age or early HTG onset, BMI, abdominal pain or pancreatitis, secondary factors, fasting TG >880 mg/dL or >10 mmol/L, TG/TC >8 (mg/dL) or >3.5 (mmol/L), and apo B <1.0 g/L, plus published interactions. Max 100. ≥60 definite classical FCS; ≥45 very likely. Not a diagnosis or genetic test. Not Simon Broome or Dutch FH. magent does not examine the patient or assay lipids. Not a medical device.

POST
https://api.magentlab.com/api/calc/nafcs
Price
$0.005
per call in USDC
Uptime
100%
last 30 days
Response time
289 ms
523 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/nafcs

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/nafcs
content-type: application/json

{
  "items": [
    {
      "abdominal_history": "none",
      "age_years": 40,
      "apo_b_g_l": 1.2,
      "apo_b_mg_dl": 120,
      "bmi_below_threshold": false,
      "htg_onset_before_age_10": false,
      "secondary_factors_present": true,
      "tg_mg_dl": 500,
      "tg_mmol_l": 8,
      "tg_tc_ratio_mg_dl": 5,
      "tg_tc_ratio_mmol_l": 2
    },
    {
      "abdominal_history": "none",
      "age_years": 40,
      "apo_b_g_l": 1.2,
      "apo_b_mg_dl": 120,
      "bmi_below_threshold": false,
      "htg_onset_before_age_10": false,
      "secondary_factors_present": true,
      "tg_mg_dl": 500,
      "tg_mmol_l": 8,
      "tg_tc_ratio_mg_dl": 5,
      "tg_tc_ratio_mmol_l": 2
    }
  ]
}

Parameters

ParameterTypeRequiredDescription
itemsarray of objectYes

Example response

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

Example response, 172 lines
{
  "count": 2,
  "items": [
    {
      "age_years": 40,
      "all_tg_severely_elevated": false,
      "citation": {
        "authors": "Hegele RA, Ahmad Z, Ashraf A, et al.",
        "doi": "10.1016/j.jacl.2024.09.008",
        "id": "hegele-2025",
        "pmid": "39537503",
        "source": "J Clin Lipidol. 2025;19(1):83-94",
        "title": "Development and validation of clinical criteria to identify familial chylomicronemia syndrome (FCS) in North America"
      },
      "components": [
        {
          "factor": "early_htg_onset",
          "points": 0,
          "present": false
        },
        {
          "factor": "child_htg",
          "points": 0,
          "present": false
        },
        {
          "factor": "all_tg_severely_elevated",
          "points": 0,
          "present": false
        },
        {
          "factor": "high_tg_tc_ratio",
          "points": 0,
          "present": false
        },
        {
          "factor": "low_apo_b",
          "points": 0,
          "present": false
        },
        {
          "factor": "bmi_below_threshold",
          "points": 0,
          "present": false
        },
        {
          "factor": "abdominal_pain",
          "points": 0,
          "present": false
        },
        {
          "factor": "pancreatitis",
          "points": 0,
          "present": false
        },
        {
          "factor": "no_secondary_factors",
          "points": 0,
          "present": false
        },
        {
          "factor": "high_ratio_and_low_apo_b",
          "points": 0,
          "present": false
        },
        {
          "factor": "child_and_no_secondary",
          "points": 0,
          "present": false
        },
        {
          "factor": "high_ratio_and_no_secondary",
          "points": 0,
          "present": false
        }
      ],
      "definite_classical_fcs": 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": "nafcs",
      "formula_expression": "NAFCS = early_htg_onset 12 (age_years ≥10 and htg_onset_before_age_10) + child_htg 12 (age_years 1-9) + all_tg_severely_elevated 13 (all fasting TG >880 mg/dL or >10 mmol/L) + high_tg_tc_ratio 8 (TG/TC >8 mg/dL or >3.5 mmol/L) + low_apo_b 12 (apo B <1.0 g/L or <100 mg/dL) + bmi_below_threshold 9 (BMI <25 kg/m2 or <85th percentile) + abdominal_pain 9 (recurrent abdominal pain without pancreatitis) + pancreatitis 16 + no_secondary_factors 11 + high_ratio_and_low_apo_b 7 + child_and_no_secondary 7 + high_ratio_and_no_secondary 5 (Hegele 2025 Table 3, parameter estimates ×10); max 100; ≥60 definite classical FCS; ≥45 very likely classical FCS",
      "high_tg_tc_ratio": false,
      "low_apo_b": false,
      "max_score": 100,
      "score": 0,
      "very_likely_classical_fcs": false
    },
    {
      "age_years": 40,
      "all_tg_severely_elevated": false,
      "citation": {
        "authors": "Hegele RA, Ahmad Z, Ashraf A, et al.",
        "doi": "10.1016/j.jacl.2024.09.008",
        "id": "hegele-2025",
        "pmid": "39537503",
        "source": "J Clin Lipidol. 2025;19(1):83-94",
        "title": "Development and validation of clinical criteria to identify familial chylomicronemia syndrome (FCS) in North America"
      },
      "components": [
        {
          "factor": "early_htg_onset",
          "points": 0,
          "present": false
        },
        {
          "factor": "child_htg",
          "points": 0,
          "present": false
        },
        {
          "factor": "all_tg_severely_elevated",
          "points": 0,
          "present": false
        },
        {
          "factor": "high_tg_tc_ratio",
          "points": 0,
          "present": false
        },
        {
          "factor": "low_apo_b",
          "points": 0,
          "present": false
        },
        {
          "factor": "bmi_below_threshold",
          "points": 0,
          "present": false
        },
        {
          "factor": "abdominal_pain",
          "points": 0,
          "present": false
        },
        {
          "factor": "pancreatitis",
          "points": 0,
          "present": false
        },
        {
          "factor": "no_secondary_factors",
          "points": 0,
          "present": false
        },
        {
          "factor": "high_ratio_and_low_apo_b",
          "points": 0,
          "present": false
        },
        {
          "factor": "child_and_no_secondary",
          "points": 0,
          "present": false
        },
        {
          "factor": "high_ratio_and_no_secondary",
          "points": 0,
          "present": false
        }
      ],
      "definite_classical_fcs": 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": "nafcs",
      "formula_expression": "NAFCS = early_htg_onset 12 (age_years ≥10 and htg_onset_before_age_10) + child_htg 12 (age_years 1-9) + all_tg_severely_elevated 13 (all fasting TG >880 mg/dL or >10 mmol/L) + high_tg_tc_ratio 8 (TG/TC >8 mg/dL or >3.5 mmol/L) + low_apo_b 12 (apo B <1.0 g/L or <100 mg/dL) + bmi_below_threshold 9 (BMI <25 kg/m2 or <85th percentile) + abdominal_pain 9 (recurrent abdominal pain without pancreatitis) + pancreatitis 16 + no_secondary_factors 11 + high_ratio_and_low_apo_b 7 + child_and_no_secondary 7 + high_ratio_and_no_secondary 5 (Hegele 2025 Table 3, parameter estimates ×10); max 100; ≥60 definite classical FCS; ≥45 very likely classical FCS",
      "high_tg_tc_ratio": false,
      "low_apo_b": false,
      "max_score": 100,
      "score": 0,
      "very_likely_classical_fcs": false
    }
  ],
  "path": "/api/calc/nafcs"
}

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/nafcs' \
  -H 'content-type: application/json' \
  --data-raw '{"items":[{"abdominal_history":"none","age_years":40,"apo_b_g_l":1.2,"apo_b_mg_dl":120,"bmi_below_threshold":false,"htg_onset_before_age_10":false,"secondary_factors_present":true,"tg_mg_dl":500,"tg_mmol_l":8,"tg_tc_ratio_mg_dl":5,"tg_tc_ratio_mmol_l":2},{"abdominal_history":"none","age_years":40,"apo_b_g_l":1.2,"apo_b_mg_dl":120,"bmi_below_threshold":false,"htg_onset_before_age_10":false,"secondary_factors_present":true,"tg_mg_dl":500,"tg_mmol_l":8,"tg_tc_ratio_mg_dl":5,"tg_tc_ratio_mmol_l":2}]}'

# 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/nafcs' \
  -H 'content-type: application/json' \
  --data-raw '{"items":[{"abdominal_history":"none","age_years":40,"apo_b_g_l":1.2,"apo_b_mg_dl":120,"bmi_below_threshold":false,"htg_onset_before_age_10":false,"secondary_factors_present":true,"tg_mg_dl":500,"tg_mmol_l":8,"tg_tc_ratio_mg_dl":5,"tg_tc_ratio_mmol_l":2},{"abdominal_history":"none","age_years":40,"apo_b_g_l":1.2,"apo_b_mg_dl":120,"bmi_below_threshold":false,"htg_onset_before_age_10":false,"secondary_factors_present":true,"tg_mg_dl":500,"tg_mmol_l":8,"tg_tc_ratio_mg_dl":5,"tg_tc_ratio_mmol_l":2}]}' \
  | 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%2Fnafcs&method=POST
const res = await pay("https://api.magentlab.com/api/calc/nafcs", {
  method: "POST",
  headers: { "content-type": "application/json" },
  body: JSON.stringify({
    "items": [
      {
        "abdominal_history": "none",
        "age_years": 40,
        "apo_b_g_l": 1.2,
        "apo_b_mg_dl": 120,
        "bmi_below_threshold": false,
        "htg_onset_before_age_10": false,
        "secondary_factors_present": true,
        "tg_mg_dl": 500,
        "tg_mmol_l": 8,
        "tg_tc_ratio_mg_dl": 5,
        "tg_tc_ratio_mmol_l": 2
      },
      {
        "abdominal_history": "none",
        "age_years": 40,
        "apo_b_g_l": 1.2,
        "apo_b_mg_dl": 120,
        "bmi_below_threshold": false,
        "htg_onset_before_age_10": false,
        "secondary_factors_present": true,
        "tg_mg_dl": 500,
        "tg_mmol_l": 8,
        "tg_tc_ratio_mg_dl": 5,
        "tg_tc_ratio_mmol_l": 2
      }
    ]
  }),
});
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/nafcs",
        json={
            "items": [
                {
                    "abdominal_history": "none",
                    "age_years": 40,
                    "apo_b_g_l": 1.2,
                    "apo_b_mg_dl": 120,
                    "bmi_below_threshold": False,
                    "htg_onset_before_age_10": False,
                    "secondary_factors_present": True,
                    "tg_mg_dl": 500,
                    "tg_mmol_l": 8,
                    "tg_tc_ratio_mg_dl": 5,
                    "tg_tc_ratio_mmol_l": 2,
                },
                {
                    "abdominal_history": "none",
                    "age_years": 40,
                    "apo_b_g_l": 1.2,
                    "apo_b_mg_dl": 120,
                    "bmi_below_threshold": False,
                    "htg_onset_before_age_10": False,
                    "secondary_factors_present": True,
                    "tg_mg_dl": 500,
                    "tg_mmol_l": 8,
                    "tg_tc_ratio_mg_dl": 5,
                    "tg_tc_ratio_mmol_l": 2,
                },
            ],
        },
    )
    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 agoPassed402358 ms$0.005
6 h agoPassed402308 ms$0.005
11 h agoPassed402377 ms$0.005
15 h agoPassed402714 ms$0.005
19 h agoPassed402165 ms$0.005
Show 10 older checks
24 h agoPassed402485 ms$0.005
28 h agoPassed402523 ms$0.005
32 h agoPassed402232 ms$0.005
36 h agoPassed402244 ms$0.005
41 h agoPassed402228 ms$0.005
45 h agoPassed402349 ms$0.005
2 days agoPassed402248 ms$0.005
2 days agoPassed402321 ms$0.005
2 days agoPassed402259 ms$0.005
3 days agoPassed402364 ms$0.005