Calc Kfre

{
  "count": 2,
  "items": [
    {
      "acr_mg_g": 300,
      "age_years": 55,
      "citation": {
        "authors": "Tangri N, Stevens LA, Griffith J, Tighiouart H, Djurdjev O, Naimark D, Levin A, Levey AS",
        "doi": "10.1001/jama.2011.451",
        "id": "tangri-2011",
        "pmid": "21642682",
        "source": "JAMA. 2011;305(15):1553-1559",
        "title": "A predictive model for progression of chronic kidney disease to kidney failure"
      },
      "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.",
      "egfr_ml_min": 30,
      "five_year_risk_percent": 27,
      "formula": "kfre",
      "formula_expression": "LP = -0.2201*(age_years/10 - 7.036) + 0.2467*(male - 0.5642) - 0.5567*(egfr_ml_min/5 - 7.222) + 0.4510*(ln(acr_mg_g) - 5.137); 2-year risk = 1 - 0.9750^exp(LP); 5-year risk = 1 - 0.9240^exp(LP); Tangri 2011 4-variable only; male is 1 if true else 0; ACR mg/g natural log; caller supplies eGFR; not 8-variable; not Tangri 2016 country S0; no race",
      "linear_predictor": 1.3815,
      "male": true,
      "s0_2_year": 0.975,
      "s0_5_year": 0.924,
      "two_year_risk_percent": 9.6
    },
    {
      "acr_mg_g": 300,
      "age_years": 55,
      "citation": {
        "authors": "Tangri N, Stevens LA, Griffith J, Tighiouart H, Djurdjev O, Naimark D, Levin A, Levey AS",
        "doi": "10.1001/jama.2011.451",
        "id": "tangri-2011",
        "pmid": "21642682",
        "source": "JAMA. 2011;305(15):1553-1559",
        "title": "A predictive model for progression of chronic kidney disease to kidney failure"
      },
      "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.",
      "egfr_ml_min": 30,
      "five_year_risk_percent": 27,
      "formula": "kfre",
      "formula_expression": "LP = -0.2201*(age_years/10 - 7.036) + 0.2467*(male - 0.5642) - 0.5567*(egfr_ml_min/5 - 7.222) + 0.4510*(ln(acr_mg_g) - 5.137); 2-year risk = 1 - 0.9750^exp(LP); 5-year risk = 1 - 0.9240^exp(LP); Tangri 2011 4-variable only; male is 1 if true else 0; ACR mg/g natural log; caller supplies eGFR; not 8-variable; not Tangri 2016 country S0; no race",
      "linear_predictor": 1.3815,
      "male": true,
      "s0_2_year": 0.975,
      "s0_5_year": 0.924,
      "two_year_risk_percent": 9.6
    }
  ],
  "path": "/api/calc/kfre"
}

# bash or zsh: see the payment challenge. Nothing is charged.
curl -sS -g -i -X POST 'https://api.magentlab.com/api/calc/kfre' \
  -H 'content-type: application/json' \
  --data-raw '{"items":[{"acr_mg_g":300,"age_years":55,"egfr_ml_min":30,"male":true},{"acr_mg_g":300,"age_years":55,"egfr_ml_min":30,"male":true}]}'

# 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/kfre' \
  -H 'content-type: application/json' \
  --data-raw '{"items":[{"acr_mg_g":300,"age_years":55,"egfr_ml_min":30,"male":true},{"acr_mg_g":300,"age_years":55,"egfr_ml_min":30,"male":true}]}' \
  | 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%2Fkfre&method=POST
const res = await pay("https://api.magentlab.com/api/calc/kfre", {
  method: "POST",
  headers: { "content-type": "application/json" },
  body: JSON.stringify({
    "items": [
      {
        "acr_mg_g": 300,
        "age_years": 55,
        "egfr_ml_min": 30,
        "male": true
      },
      {
        "acr_mg_g": 300,
        "age_years": 55,
        "egfr_ml_min": 30,
        "male": true
      }
    ]
  }),
});
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/kfre",
        json={
            "items": [
                {
                    "acr_mg_g": 300,
                    "age_years": 55,
                    "egfr_ml_min": 30,
                    "male": True,
                },
                {
                    "acr_mg_g": 300,
                    "age_years": 55,
                    "egfr_ml_min": 30,
                    "male": True,
                },
            ],
        },
    )
    print(res.status_code, res.text)