78trust / 100

Calc Gap Index

by magent in Other

x402 APIPassing, checked 4 h ago

Ley 2012 GAP index (points) from sex (male 1), age (≤60 → 0, 61–65 → 1, >65 → 2), FVC % predicted (>75 → 0, 50–75 → 1, <50 → 2), and DLCO % predicted (>55 → 0, 36–55 → 1, ≤35 → 2; cannot perform → 3). Returns a 0–8 total and stage 1–3 (0–3 / 4–5 / 6–8). Deterministic published points with citation. Not a transplant listing and not a continuous GAP calculator.

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

Run a free test callHow to call it

Reliability

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

How to call it

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

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/gap_index
content-type: application/json

{
  "items": [
    {
      "age": 55,
      "dlco_cannot_perform": true,
      "dlco_percent_predicted": 60,
      "fvc_percent_predicted": 80,
      "sex": "female"
    },
    {
      "age": 55,
      "dlco_cannot_perform": true,
      "dlco_percent_predicted": 60,
      "fvc_percent_predicted": 80,
      "sex": "female"
    }
  ]
}

Parameters

ParameterTypeRequiredDescription
itemsarray of objectYes

Example response

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

Example response, 100 lines
{
  "count": 2,
  "items": [
    {
      "age_years": 55,
      "citation": {
        "authors": "Ley B, Ryerson CJ, Vittinghoff E, et al.",
        "doi": "10.7326/0003-4819-156-10-201205150-00004",
        "id": "ley-2012",
        "pmid": "22586007",
        "source": "Ann Intern Med. 2012;156(10):684-691",
        "title": "A multidimensional index and staging system for idiopathic pulmonary fibrosis"
      },
      "components": [
        {
          "factor": "sex",
          "points": 0,
          "present": false,
          "value": "female"
        },
        {
          "factor": "age",
          "points": 0,
          "present": false,
          "value": 55
        },
        {
          "factor": "fvc",
          "points": 0,
          "present": false,
          "value": 80
        },
        {
          "factor": "dlco",
          "points": 0,
          "present": false,
          "value": 60
        }
      ],
      "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.",
      "dlco_cannot_perform": false,
      "dlco_percent_predicted": 60,
      "formula": "gap_index",
      "formula_expression": "GAP = sex_points + age_points + fvc_points + dlco_points; female 0 male 1; age <=60 -> 0, 61-65 -> 1, >65 -> 2; FVC% >75 -> 0, 50-75 -> 1, <50 -> 2; DLCO% >55 -> 0, 36-55 -> 1, <=35 -> 2, cannot perform -> 3; stages I 0-3 / II 4-5 / III 6-8; max 8",
      "fvc_percent_predicted": 80,
      "gap_stage": 1,
      "max_score": 8,
      "score": 0,
      "sex": "female"
    },
    {
      "age_years": 55,
      "citation": {
        "authors": "Ley B, Ryerson CJ, Vittinghoff E, et al.",
        "doi": "10.7326/0003-4819-156-10-201205150-00004",
        "id": "ley-2012",
        "pmid": "22586007",
        "source": "Ann Intern Med. 2012;156(10):684-691",
        "title": "A multidimensional index and staging system for idiopathic pulmonary fibrosis"
      },
      "components": [
        {
          "factor": "sex",
          "points": 0,
          "present": false,
          "value": "female"
        },
        {
          "factor": "age",
          "points": 0,
          "present": false,
          "value": 55
        },
        {
          "factor": "fvc",
          "points": 0,
          "present": false,
          "value": 80
        },
        {
          "factor": "dlco",
          "points": 0,
          "present": false,
          "value": 60
        }
      ],
      "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.",
      "dlco_cannot_perform": false,
      "dlco_percent_predicted": 60,
      "formula": "gap_index",
      "formula_expression": "GAP = sex_points + age_points + fvc_points + dlco_points; female 0 male 1; age <=60 -> 0, 61-65 -> 1, >65 -> 2; FVC% >75 -> 0, 50-75 -> 1, <50 -> 2; DLCO% >55 -> 0, 36-55 -> 1, <=35 -> 2, cannot perform -> 3; stages I 0-3 / II 4-5 / III 6-8; max 8",
      "fvc_percent_predicted": 80,
      "gap_stage": 1,
      "max_score": 8,
      "score": 0,
      "sex": "female"
    }
  ],
  "path": "/api/calc/gap_index"
}

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/gap_index' \
  -H 'content-type: application/json' \
  --data-raw '{"items":[{"age":55,"dlco_cannot_perform":true,"dlco_percent_predicted":60,"fvc_percent_predicted":80,"sex":"female"},{"age":55,"dlco_cannot_perform":true,"dlco_percent_predicted":60,"fvc_percent_predicted":80,"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/gap_index' \
  -H 'content-type: application/json' \
  --data-raw '{"items":[{"age":55,"dlco_cannot_perform":true,"dlco_percent_predicted":60,"fvc_percent_predicted":80,"sex":"female"},{"age":55,"dlco_cannot_perform":true,"dlco_percent_predicted":60,"fvc_percent_predicted":80,"sex":"female"}]}' \
  | 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%2Fgap_index&method=POST
const res = await pay("https://api.magentlab.com/api/calc/gap_index", {
  method: "POST",
  headers: { "content-type": "application/json" },
  body: JSON.stringify({
    "items": [
      {
        "age": 55,
        "dlco_cannot_perform": true,
        "dlco_percent_predicted": 60,
        "fvc_percent_predicted": 80,
        "sex": "female"
      },
      {
        "age": 55,
        "dlco_cannot_perform": true,
        "dlco_percent_predicted": 60,
        "fvc_percent_predicted": 80,
        "sex": "female"
      }
    ]
  }),
});
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/gap_index",
        json={
            "items": [
                {
                    "age": 55,
                    "dlco_cannot_perform": True,
                    "dlco_percent_predicted": 60,
                    "fvc_percent_predicted": 80,
                    "sex": "female",
                },
                {
                    "age": 55,
                    "dlco_cannot_perform": True,
                    "dlco_percent_predicted": 60,
                    "fvc_percent_predicted": 80,
                    "sex": "female",
                },
            ],
        },
    )
    print(res.status_code, res.text)

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