Calc Sg Port

{
  "count": 2,
  "items": [
    {
      "age": 65,
      "charlson_deyo": "0",
      "citation": {
        "authors": "Jacobs CD, Barak I, Jung SH, et al.",
        "doi": "10.1016/j.oraloncology.2022.105955",
        "id": "jacobs-2022-sg-port",
        "pmid": "35752134",
        "source": "Oral Oncol. 2022;132:105955",
        "title": "Prediction model to estimate overall survival benefit of postoperative radiotherapy for resected major salivary gland cancers"
      },
      "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": "sg_port",
      "formula_expression": "lp = ln(age_hr_by_port)*(age/10) + ln(1.28)*male + ln(1.22)*charlson_deyo_step + ln(1.32)*submandibular + ln(0.72)*sublingual + ln(port_hr_by_t)*port + ln(1.29)*nodal_ratio_step + ln(1.34)*grade_step + ln(1.26)*positive_margin; Jacobs 2022 Table 3 multivariable HRs, β = ln(HR); age_hr is 1.52 without PORT and 1.37 with PORT (per 10 years); port_hr is 1.03/0.83/0.68/0.55 for pT1/pT2/pT3/pT4; charlson_deyo_step 0/1/2/3 for 0/1/2/ge_3; nodal_ratio_step 0/1/2/3 for 0 / 0.1-10 / 10.1-49.9 / ge_50; grade_step 0/1/2 for low/intermediate/high; T-stage main-effect HRs printed as dashes (PORT×T interaction); no printed S0; not 2-/5-/10-year OS percents; not a radiation order; magent does not compute Charlson-Deyo or count nodes",
      "gland": "parotid",
      "grade": "low",
      "linear_predictor": 2.968477,
      "margin": "negative",
      "nodal_positivity_ratio": "0",
      "port": false,
      "risk_score": 2.968477,
      "sex": "male",
      "t_stage": "t2"
    },
    {
      "age": 65,
      "charlson_deyo": "0",
      "citation": {
        "authors": "Jacobs CD, Barak I, Jung SH, et al.",
        "doi": "10.1016/j.oraloncology.2022.105955",
        "id": "jacobs-2022-sg-port",
        "pmid": "35752134",
        "source": "Oral Oncol. 2022;132:105955",
        "title": "Prediction model to estimate overall survival benefit of postoperative radiotherapy for resected major salivary gland cancers"
      },
      "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": "sg_port",
      "formula_expression": "lp = ln(age_hr_by_port)*(age/10) + ln(1.28)*male + ln(1.22)*charlson_deyo_step + ln(1.32)*submandibular + ln(0.72)*sublingual + ln(port_hr_by_t)*port + ln(1.29)*nodal_ratio_step + ln(1.34)*grade_step + ln(1.26)*positive_margin; Jacobs 2022 Table 3 multivariable HRs, β = ln(HR); age_hr is 1.52 without PORT and 1.37 with PORT (per 10 years); port_hr is 1.03/0.83/0.68/0.55 for pT1/pT2/pT3/pT4; charlson_deyo_step 0/1/2/3 for 0/1/2/ge_3; nodal_ratio_step 0/1/2/3 for 0 / 0.1-10 / 10.1-49.9 / ge_50; grade_step 0/1/2 for low/intermediate/high; T-stage main-effect HRs printed as dashes (PORT×T interaction); no printed S0; not 2-/5-/10-year OS percents; not a radiation order; magent does not compute Charlson-Deyo or count nodes",
      "gland": "parotid",
      "grade": "low",
      "linear_predictor": 2.968477,
      "margin": "negative",
      "nodal_positivity_ratio": "0",
      "port": false,
      "risk_score": 2.968477,
      "sex": "male",
      "t_stage": "t2"
    }
  ],
  "path": "/api/calc/sg_port"
}

# bash or zsh: see the payment challenge. Nothing is charged.
curl -sS -g -i -X POST 'https://api.magentlab.com/api/calc/sg_port' \
  -H 'content-type: application/json' \
  --data-raw '{"items":[{"age":65,"charlson_deyo":"0","gland":"parotid","grade":"low","margin":"negative","nodal_positivity_ratio":"0","port":false,"sex":"male","t_stage":"t2"},{"age":65,"charlson_deyo":"0","gland":"parotid","grade":"low","margin":"negative","nodal_positivity_ratio":"0","port":false,"sex":"male","t_stage":"t2"}]}'

# 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/sg_port' \
  -H 'content-type: application/json' \
  --data-raw '{"items":[{"age":65,"charlson_deyo":"0","gland":"parotid","grade":"low","margin":"negative","nodal_positivity_ratio":"0","port":false,"sex":"male","t_stage":"t2"},{"age":65,"charlson_deyo":"0","gland":"parotid","grade":"low","margin":"negative","nodal_positivity_ratio":"0","port":false,"sex":"male","t_stage":"t2"}]}' \
  | 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%2Fsg_port&method=POST
const res = await pay("https://api.magentlab.com/api/calc/sg_port", {
  method: "POST",
  headers: { "content-type": "application/json" },
  body: JSON.stringify({
    "items": [
      {
        "age": 65,
        "charlson_deyo": "0",
        "gland": "parotid",
        "grade": "low",
        "margin": "negative",
        "nodal_positivity_ratio": "0",
        "port": false,
        "sex": "male",
        "t_stage": "t2"
      },
      {
        "age": 65,
        "charlson_deyo": "0",
        "gland": "parotid",
        "grade": "low",
        "margin": "negative",
        "nodal_positivity_ratio": "0",
        "port": false,
        "sex": "male",
        "t_stage": "t2"
      }
    ]
  }),
});
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/sg_port",
        json={
            "items": [
                {
                    "age": 65,
                    "charlson_deyo": "0",
                    "gland": "parotid",
                    "grade": "low",
                    "margin": "negative",
                    "nodal_positivity_ratio": "0",
                    "port": False,
                    "sex": "male",
                    "t_stage": "t2",
                },
                {
                    "age": 65,
                    "charlson_deyo": "0",
                    "gland": "parotid",
                    "grade": "low",
                    "margin": "negative",
                    "nodal_positivity_ratio": "0",
                    "port": False,
                    "sex": "male",
                    "t_stage": "t2",
                },
            ],
        },
    )
    print(res.status_code, res.text)