Calc Icc Sm

{
  "associated_myeloid_neoplasm": false,
  "atypical_or_spindle": false,
  "cd2_cd25_or_cd30": false,
  "citation": {
    "authors": "Arber DA, Orazi A, Hasserjian RP, Borowitz MJ, Calvo KR, Kvasnicka HM, Wang SA, Bagg A, Barbui T, Bennett JM, de la Fuente J, et al.",
    "doi": "10.1182/blood.2022015850",
    "id": "arber-2022",
    "pmid": "35767897",
    "source": "Blood. 2022;140(11):1200-1228",
    "title": "International Consensus Classification of Myeloid Neoplasms and Acute Leukemias: integrating morphologic, clinical, and genomic data"
  },
  "criteria": [
    {
      "factor": "major",
      "met": true
    },
    {
      "factor": "atypical_or_spindle",
      "met": false
    },
    {
      "factor": "kit_activating",
      "met": false
    },
    {
      "factor": "cd2_cd25_or_cd30",
      "met": false
    },
    {
      "factor": "tryptase_counts",
      "met": false
    },
    {
      "factor": "associated_myeloid_neoplasm",
      "met": false
    },
    {
      "factor": "minor_count_ge_3",
      "met": false
    }
  ],
  "diagnosed": 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.",
  "formula": "icc_sm",
  "formula_expression": "diagnosed iff major_infiltrates or minor_count ≥ 3; minor_count counts atypical_or_spindle, kit_activating, cd2_cd25_or_cd30, and tryptase_gt_20 only when associated_myeloid_neoplasm is false (Arber 2022 ICC SM). Not a diagnosis. Not Valent 2016 WHO SM. Not cutaneous mastocytosis only",
  "kit_activating": false,
  "major": true,
  "major_infiltrates": true,
  "minor_count": 0,
  "tryptase_counts": false,
  "tryptase_gt_20": false
}

# bash or zsh: see the payment challenge. Nothing is charged.
curl -sS -g -i 'https://api.magentlab.com/api/calc/icc_sm?associated_myeloid_neoplasm=false&atypical_or_spindle=false&cd2_cd25_or_cd30=false&kit_activating=false&major_infiltrates=true&tryptase_gt_20=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 - 'https://api.magentlab.com/api/calc/icc_sm?associated_myeloid_neoplasm=false&atypical_or_spindle=false&cd2_cd25_or_cd30=false&kit_activating=false&major_infiltrates=true&tryptase_gt_20=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 $0.005 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%2Ficc_sm
const res = await pay("https://api.magentlab.com/api/calc/icc_sm?associated_myeloid_neoplasm=false&atypical_or_spindle=false&cd2_cd25_or_cd30=false&kit_activating=false&major_infiltrates=true&tryptase_gt_20=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 $0.005 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.get("https://api.magentlab.com/api/calc/icc_sm?associated_myeloid_neoplasm=false&atypical_or_spindle=false&cd2_cd25_or_cd30=false&kit_activating=false&major_infiltrates=true&tryptase_gt_20=false")
    print(res.status_code, res.text)