Calc Acr Eular Sjogren

{
  "count": 2,
  "items": [
    {
      "citation": {
        "authors": "Shiboski CH, Shiboski SC, Seror R, Criswell LA, Labetoulle M, Lietman TM, Rasmussen A, Scofield H, Vitali C, Bowman SJ, Mariette X, the International Sjögren's Syndrome Criteria Working Group",
        "doi": "10.1002/art.39859",
        "id": "shiboski-2016",
        "pmid": "27785888",
        "source": "Arthritis Rheumatol. 2017;69(1):35-45",
        "title": "2016 American College of Rheumatology/European League Against Rheumatism Classification Criteria for Primary Sjögren's Syndrome: A Consensus and Data-Driven Methodology Involving Three International Patient Cohorts"
      },
      "classified": true,
      "components": [
        {
          "factor": "labial_biopsy_fs_ge_1",
          "points": 3,
          "present": true
        },
        {
          "factor": "anti_ssa_ro",
          "points": 0,
          "present": false
        },
        {
          "factor": "ocular_staining",
          "points": 1,
          "present": true
        },
        {
          "factor": "schirmer",
          "points": 0,
          "present": false
        },
        {
          "factor": "uws",
          "points": 0,
          "present": 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": "acr_eular_sjogren",
      "formula_expression": "ACR/EULAR 2016 primary Sjögren classification (Shiboski Table 3): required inclusion_met true and exclusion_present false (else do not score). Score = labial_biopsy_fs_ge_1 3 + anti_ssa_ro 3 + ocular_staining 1 + schirmer 1 + uws 1; max 9; classified iff score ≥4. Not a diagnosis. Not AECG 2002. Not 2012 ACR-only criteria",
      "max_score": 9,
      "score": 4
    },
    {
      "citation": {
        "authors": "Shiboski CH, Shiboski SC, Seror R, Criswell LA, Labetoulle M, Lietman TM, Rasmussen A, Scofield H, Vitali C, Bowman SJ, Mariette X, the International Sjögren's Syndrome Criteria Working Group",
        "doi": "10.1002/art.39859",
        "id": "shiboski-2016",
        "pmid": "27785888",
        "source": "Arthritis Rheumatol. 2017;69(1):35-45",
        "title": "2016 American College of Rheumatology/European League Against Rheumatism Classification Criteria for Primary Sjögren's Syndrome: A Consensus and Data-Driven Methodology Involving Three International Patient Cohorts"
      },
      "classified": true,
      "components": [
        {
          "factor": "labial_biopsy_fs_ge_1",
          "points": 3,
          "present": true
        },
        {
          "factor": "anti_ssa_ro",
          "points": 0,
          "present": false
        },
        {
          "factor": "ocular_staining",
          "points": 1,
          "present": true
        },
        {
          "factor": "schirmer",
          "points": 0,
          "present": false
        },
        {
          "factor": "uws",
          "points": 0,
          "present": 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": "acr_eular_sjogren",
      "formula_expression": "ACR/EULAR 2016 primary Sjögren classification (Shiboski Table 3): required inclusion_met true and exclusion_present false (else do not score). Score = labial_biopsy_fs_ge_1 3 + anti_ssa_ro 3 + ocular_staining 1 + schirmer 1 + uws 1; max 9; classified iff score ≥4. Not a diagnosis. Not AECG 2002. Not 2012 ACR-only criteria",
      "max_score": 9,
      "score": 4
    }
  ],
  "path": "/api/calc/acr_eular_sjogren"
}

# bash or zsh: see the payment challenge. Nothing is charged.
curl -sS -g -i -X POST 'https://api.magentlab.com/api/calc/acr_eular_sjogren' \
  -H 'content-type: application/json' \
  --data-raw '{"items":[{"anti_ssa_ro":false,"exclusion_present":false,"inclusion_met":true,"labial_biopsy_fs_ge_1":true,"ocular_staining":true,"schirmer":false,"uws":false},{"anti_ssa_ro":false,"exclusion_present":false,"inclusion_met":true,"labial_biopsy_fs_ge_1":true,"ocular_staining":true,"schirmer":false,"uws":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/acr_eular_sjogren' \
  -H 'content-type: application/json' \
  --data-raw '{"items":[{"anti_ssa_ro":false,"exclusion_present":false,"inclusion_met":true,"labial_biopsy_fs_ge_1":true,"ocular_staining":true,"schirmer":false,"uws":false},{"anti_ssa_ro":false,"exclusion_present":false,"inclusion_met":true,"labial_biopsy_fs_ge_1":true,"ocular_staining":true,"schirmer":false,"uws":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%2Facr_eular_sjogren&method=POST
const res = await pay("https://api.magentlab.com/api/calc/acr_eular_sjogren", {
  method: "POST",
  headers: { "content-type": "application/json" },
  body: JSON.stringify({
    "items": [
      {
        "anti_ssa_ro": false,
        "exclusion_present": false,
        "inclusion_met": true,
        "labial_biopsy_fs_ge_1": true,
        "ocular_staining": true,
        "schirmer": false,
        "uws": false
      },
      {
        "anti_ssa_ro": false,
        "exclusion_present": false,
        "inclusion_met": true,
        "labial_biopsy_fs_ge_1": true,
        "ocular_staining": true,
        "schirmer": false,
        "uws": 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/acr_eular_sjogren",
        json={
            "items": [
                {
                    "anti_ssa_ro": False,
                    "exclusion_present": False,
                    "inclusion_met": True,
                    "labial_biopsy_fs_ge_1": True,
                    "ocular_staining": True,
                    "schirmer": False,
                    "uws": False,
                },
                {
                    "anti_ssa_ro": False,
                    "exclusion_present": False,
                    "inclusion_met": True,
                    "labial_biopsy_fs_ge_1": True,
                    "ocular_staining": True,
                    "schirmer": False,
                    "uws": False,
                },
            ],
        },
    )
    print(res.status_code, res.text)