Calc Prs

{
  "count": 2,
  "items": [
    {
      "age_years": 2,
      "citation": {
        "authors": "Lipsett SC, Hirsch AW, Monuteaux MC, Bachur RG, Neuman MI",
        "doi": "10.1097/INF.0000000000003361",
        "id": "lipsett-2022",
        "pmid": "34694254",
        "source": "Pediatr Infect Dis J. 2022;41(1):24-30",
        "title": "Development of the Novel Pneumonia Risk Score to Predict Radiographic Pneumonia in Children"
      },
      "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.",
      "fever": false,
      "formula": "prs",
      "formula_expression": "logit = 18.05624 + 0.098308*age_years + 1.144985*fever + (-0.21636)*spo2_percent + 0.407494*rales + (-0.907087)*wheeze (Lipsett 2022 SDC INF/E552; flags 1 if true else 0); probability_percent = 100 * exp(logit) / (1 + exp(logit)) from the unrounded logit, 2 decimals; score 1 if p < 0.05, 2 if p < 0.11, 3 if p < 0.21, 4 if p < 0.51, 5 if p < 0.75, else 6 (SDC wrote >=0.76 after <0.75; magent closes that hole at 0.75)",
      "logit": -3.1668,
      "max_score": 6,
      "probability_percent": 4.04,
      "rales": false,
      "score": 1,
      "spo2_percent": 99,
      "wheeze": false
    },
    {
      "age_years": 2,
      "citation": {
        "authors": "Lipsett SC, Hirsch AW, Monuteaux MC, Bachur RG, Neuman MI",
        "doi": "10.1097/INF.0000000000003361",
        "id": "lipsett-2022",
        "pmid": "34694254",
        "source": "Pediatr Infect Dis J. 2022;41(1):24-30",
        "title": "Development of the Novel Pneumonia Risk Score to Predict Radiographic Pneumonia in Children"
      },
      "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.",
      "fever": false,
      "formula": "prs",
      "formula_expression": "logit = 18.05624 + 0.098308*age_years + 1.144985*fever + (-0.21636)*spo2_percent + 0.407494*rales + (-0.907087)*wheeze (Lipsett 2022 SDC INF/E552; flags 1 if true else 0); probability_percent = 100 * exp(logit) / (1 + exp(logit)) from the unrounded logit, 2 decimals; score 1 if p < 0.05, 2 if p < 0.11, 3 if p < 0.21, 4 if p < 0.51, 5 if p < 0.75, else 6 (SDC wrote >=0.76 after <0.75; magent closes that hole at 0.75)",
      "logit": -3.1668,
      "max_score": 6,
      "probability_percent": 4.04,
      "rales": false,
      "score": 1,
      "spo2_percent": 99,
      "wheeze": false
    }
  ],
  "path": "/api/calc/prs"
}

# bash or zsh: see the payment challenge. Nothing is charged.
curl -sS -g -i -X POST 'https://api.magentlab.com/api/calc/prs' \
  -H 'content-type: application/json' \
  --data-raw '{"items":[{"age_years":2,"fever":false,"rales":false,"spo2_percent":99,"wheeze":false},{"age_years":2,"fever":false,"rales":false,"spo2_percent":99,"wheeze":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/prs' \
  -H 'content-type: application/json' \
  --data-raw '{"items":[{"age_years":2,"fever":false,"rales":false,"spo2_percent":99,"wheeze":false},{"age_years":2,"fever":false,"rales":false,"spo2_percent":99,"wheeze":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%2Fprs&method=POST
const res = await pay("https://api.magentlab.com/api/calc/prs", {
  method: "POST",
  headers: { "content-type": "application/json" },
  body: JSON.stringify({
    "items": [
      {
        "age_years": 2,
        "fever": false,
        "rales": false,
        "spo2_percent": 99,
        "wheeze": false
      },
      {
        "age_years": 2,
        "fever": false,
        "rales": false,
        "spo2_percent": 99,
        "wheeze": 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/prs",
        json={
            "items": [
                {
                    "age_years": 2,
                    "fever": False,
                    "rales": False,
                    "spo2_percent": 99,
                    "wheeze": False,
                },
                {
                    "age_years": 2,
                    "fever": False,
                    "rales": False,
                    "spo2_percent": 99,
                    "wheeze": False,
                },
            ],
        },
    )
    print(res.status_code, res.text)