Calc Hypoglycemia Risk Score

{
  "count": 2,
  "items": [
    {
      "age_lt_77": true,
      "citation": {
        "authors": "Karter AJ, Warton EM, Lipska KJ, Ralston JD, Moffet HH, Jackson GG, Huang ES, Miller DR",
        "doi": "10.1001/jamainternmed.2017.3844",
        "id": "karter-2017",
        "pmid": "28828479",
        "source": "JAMA Intern Med. 2017;177(10):1461-1470",
        "title": "Development and Validation of a Tool to Identify Patients With Type 2 Diabetes at High Risk of Hypoglycemia-Related Emergency Department or Hospital Use"
      },
      "criteria": [
        {
          "factor": "prior_hypo_ge_3",
          "met": true,
          "value": 3
        },
        {
          "factor": "prior_hypo_1_or_2",
          "met": false,
          "value": 3
        },
        {
          "factor": "insulin",
          "met": false
        },
        {
          "factor": "sulfonylurea",
          "met": false
        },
        {
          "factor": "ed_visits_ge_2",
          "met": false,
          "value": 0
        },
        {
          "factor": "severe_or_esrd",
          "met": false
        },
        {
          "factor": "age_lt_77",
          "met": true
        }
      ],
      "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.",
      "ed_visits_12mo": 0,
      "ed_visits_band": "lt_2",
      "figure2_option": 1,
      "formula": "hypoglycemia_risk_score",
      "formula_expression": "hypoglycemia_risk_score first-match Karter 2017 Figure 2 (6 mutually exclusive options; eTable 2 source): (1) prior_hypo_ed_hospital_count >= 3 -> high; (2) prior 1-2 and insulin -> high; (3) prior 1-2 and not insulin -> intermediate; (4) prior 0 and insulin and (ed_visits_12mo >= 2 or severe_or_esrd or not age_lt_77) -> intermediate; (5) prior 0 and not insulin and sulfonylurea and (ed_visits_12mo >= 2 or severe_or_esrd) -> intermediate; (6) else -> low. high >5%, intermediate 1-5%, low <1% 12-month hypoglycemia-related ED/hospital use. T2D only. Not a points sum. magent does not assay glucose. Not a diagnosis. Not an insulin dose",
      "insulin": false,
      "prior_hypo_band": "ge_3",
      "prior_hypo_ed_hospital_count": 3,
      "rate_band": ">5%",
      "risk": "high",
      "severe_or_esrd": false,
      "sulfonylurea": false
    },
    {
      "age_lt_77": true,
      "citation": {
        "authors": "Karter AJ, Warton EM, Lipska KJ, Ralston JD, Moffet HH, Jackson GG, Huang ES, Miller DR",
        "doi": "10.1001/jamainternmed.2017.3844",
        "id": "karter-2017",
        "pmid": "28828479",
        "source": "JAMA Intern Med. 2017;177(10):1461-1470",
        "title": "Development and Validation of a Tool to Identify Patients With Type 2 Diabetes at High Risk of Hypoglycemia-Related Emergency Department or Hospital Use"
      },
      "criteria": [
        {
          "factor": "prior_hypo_ge_3",
          "met": true,
          "value": 3
        },
        {
          "factor": "prior_hypo_1_or_2",
          "met": false,
          "value": 3
        },
        {
          "factor": "insulin",
          "met": false
        },
        {
          "factor": "sulfonylurea",
          "met": false
        },
        {
          "factor": "ed_visits_ge_2",
          "met": false,
          "value": 0
        },
        {
          "factor": "severe_or_esrd",
          "met": false
        },
        {
          "factor": "age_lt_77",
          "met": true
        }
      ],
      "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.",
      "ed_visits_12mo": 0,
      "ed_visits_band": "lt_2",
      "figure2_option": 1,
      "formula": "hypoglycemia_risk_score",
      "formula_expression": "hypoglycemia_risk_score first-match Karter 2017 Figure 2 (6 mutually exclusive options; eTable 2 source): (1) prior_hypo_ed_hospital_count >= 3 -> high; (2) prior 1-2 and insulin -> high; (3) prior 1-2 and not insulin -> intermediate; (4) prior 0 and insulin and (ed_visits_12mo >= 2 or severe_or_esrd or not age_lt_77) -> intermediate; (5) prior 0 and not insulin and sulfonylurea and (ed_visits_12mo >= 2 or severe_or_esrd) -> intermediate; (6) else -> low. high >5%, intermediate 1-5%, low <1% 12-month hypoglycemia-related ED/hospital use. T2D only. Not a points sum. magent does not assay glucose. Not a diagnosis. Not an insulin dose",
      "insulin": false,
      "prior_hypo_band": "ge_3",
      "prior_hypo_ed_hospital_count": 3,
      "rate_band": ">5%",
      "risk": "high",
      "severe_or_esrd": false,
      "sulfonylurea": false
    }
  ],
  "path": "/api/calc/hypoglycemia_risk_score"
}

# bash or zsh: see the payment challenge. Nothing is charged.
curl -sS -g -i -X POST 'https://api.magentlab.com/api/calc/hypoglycemia_risk_score' \
  -H 'content-type: application/json' \
  --data-raw '{"items":[{"age_lt_77":true,"ed_visits_12mo":0,"insulin":false,"prior_hypo_ed_hospital_count":3,"severe_or_esrd":false,"sulfonylurea":false},{"age_lt_77":true,"ed_visits_12mo":0,"insulin":false,"prior_hypo_ed_hospital_count":3,"severe_or_esrd":false,"sulfonylurea":false}]}'

# 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/hypoglycemia_risk_score' \
  -H 'content-type: application/json' \
  --data-raw '{"items":[{"age_lt_77":true,"ed_visits_12mo":0,"insulin":false,"prior_hypo_ed_hospital_count":3,"severe_or_esrd":false,"sulfonylurea":false},{"age_lt_77":true,"ed_visits_12mo":0,"insulin":false,"prior_hypo_ed_hospital_count":3,"severe_or_esrd":false,"sulfonylurea":false}]}' \
  | grep -i '^payment-required:' | cut -d' ' -f2 | tr -d '\r' | base64 --decode

// 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%2Fhypoglycemia_risk_score&method=POST
const res = await pay("https://api.magentlab.com/api/calc/hypoglycemia_risk_score", {
  method: "POST",
  headers: { "content-type": "application/json" },
  body: JSON.stringify({
    "items": [
      {
        "age_lt_77": true,
        "ed_visits_12mo": 0,
        "insulin": false,
        "prior_hypo_ed_hospital_count": 3,
        "severe_or_esrd": false,
        "sulfonylurea": false
      },
      {
        "age_lt_77": true,
        "ed_visits_12mo": 0,
        "insulin": false,
        "prior_hypo_ed_hospital_count": 3,
        "severe_or_esrd": false,
        "sulfonylurea": false
      }
    ]
  }),
});
console.log(res.status, await res.text());

# 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/hypoglycemia_risk_score",
        json={
            "items": [
                {
                    "age_lt_77": True,
                    "ed_visits_12mo": 0,
                    "insulin": False,
                    "prior_hypo_ed_hospital_count": 3,
                    "severe_or_esrd": False,
                    "sulfonylurea": False,
                },
                {
                    "age_lt_77": True,
                    "ed_visits_12mo": 0,
                    "insulin": False,
                    "prior_hypo_ed_hospital_count": 3,
                    "severe_or_esrd": False,
                    "sulfonylurea": False,
                },
            ],
        },
    )
    print(res.status_code, res.text)