Calc Pecarn Febrile

{
  "count": 2,
  "items": [
    {
      "age_days": 36,
      "anc_per_ul": 3000,
      "citation": {
        "authors": "Kuppermann N, Dayan PS, Levine DA, et al.",
        "doi": "10.1001/jamapediatrics.2018.5501",
        "id": "kuppermann-2019",
        "pmid": "30776077",
        "source": "JAMA Pediatr. 2019;173(4):342-351",
        "title": "A Clinical Prediction Rule to Identify Febrile Infants 60 Days and Younger at Low Risk for Serious Bacterial Infections."
      },
      "criteria": [
        {
          "factor": "negative_urinalysis",
          "met": true
        },
        {
          "factor": "anc_le_4090",
          "met": true,
          "value": 3000
        },
        {
          "factor": "pct_le_1_71",
          "met": true,
          "value": 0.5
        }
      ],
      "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": "pecarn_febrile",
      "formula_expression": "low_risk iff negative_urinalysis and anc_per_ul <= 4090 and pct_ng_ml <= 1.71; age_days 0-60 pins the published population and is not a tree variable (Kuppermann 2019)",
      "low_risk": true,
      "pct_ng_ml": 0.5
    },
    {
      "age_days": 36,
      "anc_per_ul": 3000,
      "citation": {
        "authors": "Kuppermann N, Dayan PS, Levine DA, et al.",
        "doi": "10.1001/jamapediatrics.2018.5501",
        "id": "kuppermann-2019",
        "pmid": "30776077",
        "source": "JAMA Pediatr. 2019;173(4):342-351",
        "title": "A Clinical Prediction Rule to Identify Febrile Infants 60 Days and Younger at Low Risk for Serious Bacterial Infections."
      },
      "criteria": [
        {
          "factor": "negative_urinalysis",
          "met": true
        },
        {
          "factor": "anc_le_4090",
          "met": true,
          "value": 3000
        },
        {
          "factor": "pct_le_1_71",
          "met": true,
          "value": 0.5
        }
      ],
      "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": "pecarn_febrile",
      "formula_expression": "low_risk iff negative_urinalysis and anc_per_ul <= 4090 and pct_ng_ml <= 1.71; age_days 0-60 pins the published population and is not a tree variable (Kuppermann 2019)",
      "low_risk": true,
      "pct_ng_ml": 0.5
    }
  ],
  "path": "/api/calc/pecarn_febrile"
}

# bash or zsh: see the payment challenge. Nothing is charged.
curl -sS -g -i -X POST 'https://api.magentlab.com/api/calc/pecarn_febrile' \
  -H 'content-type: application/json' \
  --data-raw '{"items":[{"age_days":36,"anc_per_ul":3000,"negative_urinalysis":true,"pct_ng_ml":0.5},{"age_days":36,"anc_per_ul":3000,"negative_urinalysis":true,"pct_ng_ml":0.5}]}'

# 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/pecarn_febrile' \
  -H 'content-type: application/json' \
  --data-raw '{"items":[{"age_days":36,"anc_per_ul":3000,"negative_urinalysis":true,"pct_ng_ml":0.5},{"age_days":36,"anc_per_ul":3000,"negative_urinalysis":true,"pct_ng_ml":0.5}]}' \
  | 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%2Fpecarn_febrile&method=POST
const res = await pay("https://api.magentlab.com/api/calc/pecarn_febrile", {
  method: "POST",
  headers: { "content-type": "application/json" },
  body: JSON.stringify({
    "items": [
      {
        "age_days": 36,
        "anc_per_ul": 3000,
        "negative_urinalysis": true,
        "pct_ng_ml": 0.5
      },
      {
        "age_days": 36,
        "anc_per_ul": 3000,
        "negative_urinalysis": true,
        "pct_ng_ml": 0.5
      }
    ]
  }),
});
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/pecarn_febrile",
        json={
            "items": [
                {
                    "age_days": 36,
                    "anc_per_ul": 3000,
                    "negative_urinalysis": True,
                    "pct_ng_ml": 0.5,
                },
                {
                    "age_days": 36,
                    "anc_per_ul": 3000,
                    "negative_urinalysis": True,
                    "pct_ng_ml": 0.5,
                },
            ],
        },
    )
    print(res.status_code, res.text)