Calc Ascod

{
  "count": 2,
  "items": [
    {
      "atherosclerosis": 0,
      "cardiac": 0,
      "citation": {
        "authors": "Amarenco P, Bogousslavsky J, Caplan LR, Donnan GA, Wolf ME, Hennerici MG",
        "doi": "10.1159/000352050",
        "id": "amarenco-2013",
        "pmid": "23899749",
        "source": "Cerebrovasc Dis. 2013;36(1):1-5",
        "title": "The ASCOD phenotyping of ischemic stroke (Updated ASCO Phenotyping)"
      },
      "components": [
        {
          "factor": "atherosclerosis",
          "met": true,
          "value": 0
        },
        {
          "factor": "small_vessel",
          "met": true,
          "value": 0
        },
        {
          "factor": "cardiac",
          "met": true,
          "value": 0
        },
        {
          "factor": "other",
          "met": true,
          "value": 0
        },
        {
          "factor": "dissection",
          "met": true,
          "value": 0
        }
      ],
      "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.",
      "dissection": 0,
      "formula": "ascod",
      "formula_expression": "ASCOD phenotype A{atherosclerosis}-S{small_vessel}-C{cardiac}-O{other}-D{dissection}; each caller-assigned Amarenco 2013 grade is 1 potentially causal, 2 causality uncertain, 3 unlikely causal but the disease is present, 0 absence of disease, or 9 insufficient workup to rule out the disease; grades are independent and are not summed; not TOAST; not CCS; magent does not read imaging",
      "other": 0,
      "phenotype": "A0-S0-C0-O0-D0",
      "small_vessel": 0
    },
    {
      "atherosclerosis": 0,
      "cardiac": 0,
      "citation": {
        "authors": "Amarenco P, Bogousslavsky J, Caplan LR, Donnan GA, Wolf ME, Hennerici MG",
        "doi": "10.1159/000352050",
        "id": "amarenco-2013",
        "pmid": "23899749",
        "source": "Cerebrovasc Dis. 2013;36(1):1-5",
        "title": "The ASCOD phenotyping of ischemic stroke (Updated ASCO Phenotyping)"
      },
      "components": [
        {
          "factor": "atherosclerosis",
          "met": true,
          "value": 0
        },
        {
          "factor": "small_vessel",
          "met": true,
          "value": 0
        },
        {
          "factor": "cardiac",
          "met": true,
          "value": 0
        },
        {
          "factor": "other",
          "met": true,
          "value": 0
        },
        {
          "factor": "dissection",
          "met": true,
          "value": 0
        }
      ],
      "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.",
      "dissection": 0,
      "formula": "ascod",
      "formula_expression": "ASCOD phenotype A{atherosclerosis}-S{small_vessel}-C{cardiac}-O{other}-D{dissection}; each caller-assigned Amarenco 2013 grade is 1 potentially causal, 2 causality uncertain, 3 unlikely causal but the disease is present, 0 absence of disease, or 9 insufficient workup to rule out the disease; grades are independent and are not summed; not TOAST; not CCS; magent does not read imaging",
      "other": 0,
      "phenotype": "A0-S0-C0-O0-D0",
      "small_vessel": 0
    }
  ],
  "path": "/api/calc/ascod"
}

# bash or zsh: see the payment challenge. Nothing is charged.
curl -sS -g -i -X POST 'https://api.magentlab.com/api/calc/ascod' \
  -H 'content-type: application/json' \
  --data-raw '{"items":[{"atherosclerosis":0,"cardiac":0,"dissection":0,"other":0,"small_vessel":0},{"atherosclerosis":0,"cardiac":0,"dissection":0,"other":0,"small_vessel":0}]}'

# 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/ascod' \
  -H 'content-type: application/json' \
  --data-raw '{"items":[{"atherosclerosis":0,"cardiac":0,"dissection":0,"other":0,"small_vessel":0},{"atherosclerosis":0,"cardiac":0,"dissection":0,"other":0,"small_vessel":0}]}' \
  | 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%2Fascod&method=POST
const res = await pay("https://api.magentlab.com/api/calc/ascod", {
  method: "POST",
  headers: { "content-type": "application/json" },
  body: JSON.stringify({
    "items": [
      {
        "atherosclerosis": 0,
        "cardiac": 0,
        "dissection": 0,
        "other": 0,
        "small_vessel": 0
      },
      {
        "atherosclerosis": 0,
        "cardiac": 0,
        "dissection": 0,
        "other": 0,
        "small_vessel": 0
      }
    ]
  }),
});
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/ascod",
        json={
            "items": [
                {
                    "atherosclerosis": 0,
                    "cardiac": 0,
                    "dissection": 0,
                    "other": 0,
                    "small_vessel": 0,
                },
                {
                    "atherosclerosis": 0,
                    "cardiac": 0,
                    "dissection": 0,
                    "other": 0,
                    "small_vessel": 0,
                },
            ],
        },
    )
    print(res.status_code, res.text)