Calc Ada Diabetes

{
  "count": 2,
  "items": [
    {
      "age_years": 40,
      "bmi_kg_m2": 22,
      "citation": {
        "authors": "Bang H, Edwards AM, Bomback AS, Ballantyne CM, Brillon D, Callahan MA, Teutsch SM, Mushlin AI, Kern LM",
        "doi": "10.7326/0003-4819-151-11-200912010-00005",
        "id": "bang-2009",
        "pmid": "19949143",
        "source": "Ann Intern Med. 2009;151(11):775-783",
        "title": "Development and validation of a patient self-assessment score for diabetes risk"
      },
      "components": [
        {
          "factor": "age",
          "points": 1,
          "present": true,
          "value": 40
        },
        {
          "factor": "sex",
          "points": 0,
          "present": false,
          "value": "female"
        },
        {
          "factor": "family_history_diabetes",
          "points": 0,
          "present": false
        },
        {
          "factor": "hypertension",
          "points": 0,
          "present": false
        },
        {
          "factor": "bmi",
          "points": 0,
          "present": true,
          "value": 22
        },
        {
          "factor": "physically_active",
          "points": -1,
          "present": true
        }
      ],
      "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": "ada_diabetes",
      "formula_expression": "score = age + sex + family_history_diabetes + hypertension + obesity + physically_active; age <40 -> 0, 40-49 -> 1, 50-59 -> 2, >=60 -> 3; female 0, male 1; family history yes 1; hypertension yes 1; BMI >=40 -> 3, 30 <= BMI < 40 -> 2, 25 <= BMI < 30 -> 1, else 0; physically_active yes -> -1; high_risk iff score>=5; Bang 2009 Table 2 development scores",
      "high_risk": false,
      "max_score": 9,
      "score": 0,
      "sex": "female"
    },
    {
      "age_years": 40,
      "bmi_kg_m2": 22,
      "citation": {
        "authors": "Bang H, Edwards AM, Bomback AS, Ballantyne CM, Brillon D, Callahan MA, Teutsch SM, Mushlin AI, Kern LM",
        "doi": "10.7326/0003-4819-151-11-200912010-00005",
        "id": "bang-2009",
        "pmid": "19949143",
        "source": "Ann Intern Med. 2009;151(11):775-783",
        "title": "Development and validation of a patient self-assessment score for diabetes risk"
      },
      "components": [
        {
          "factor": "age",
          "points": 1,
          "present": true,
          "value": 40
        },
        {
          "factor": "sex",
          "points": 0,
          "present": false,
          "value": "female"
        },
        {
          "factor": "family_history_diabetes",
          "points": 0,
          "present": false
        },
        {
          "factor": "hypertension",
          "points": 0,
          "present": false
        },
        {
          "factor": "bmi",
          "points": 0,
          "present": true,
          "value": 22
        },
        {
          "factor": "physically_active",
          "points": -1,
          "present": true
        }
      ],
      "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": "ada_diabetes",
      "formula_expression": "score = age + sex + family_history_diabetes + hypertension + obesity + physically_active; age <40 -> 0, 40-49 -> 1, 50-59 -> 2, >=60 -> 3; female 0, male 1; family history yes 1; hypertension yes 1; BMI >=40 -> 3, 30 <= BMI < 40 -> 2, 25 <= BMI < 30 -> 1, else 0; physically_active yes -> -1; high_risk iff score>=5; Bang 2009 Table 2 development scores",
      "high_risk": false,
      "max_score": 9,
      "score": 0,
      "sex": "female"
    }
  ],
  "path": "/api/calc/ada_diabetes"
}

# bash or zsh: see the payment challenge. Nothing is charged.
curl -sS -g -i -X POST 'https://api.magentlab.com/api/calc/ada_diabetes' \
  -H 'content-type: application/json' \
  --data-raw '{"items":[{"age":40,"bmi_kg_m2":22,"family_history_diabetes":false,"hypertension":false,"physically_active":true,"sex":"female"},{"age":40,"bmi_kg_m2":22,"family_history_diabetes":false,"hypertension":false,"physically_active":true,"sex":"female"}]}'

# 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/ada_diabetes' \
  -H 'content-type: application/json' \
  --data-raw '{"items":[{"age":40,"bmi_kg_m2":22,"family_history_diabetes":false,"hypertension":false,"physically_active":true,"sex":"female"},{"age":40,"bmi_kg_m2":22,"family_history_diabetes":false,"hypertension":false,"physically_active":true,"sex":"female"}]}' \
  | 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%2Fada_diabetes&method=POST
const res = await pay("https://api.magentlab.com/api/calc/ada_diabetes", {
  method: "POST",
  headers: { "content-type": "application/json" },
  body: JSON.stringify({
    "items": [
      {
        "age": 40,
        "bmi_kg_m2": 22,
        "family_history_diabetes": false,
        "hypertension": false,
        "physically_active": true,
        "sex": "female"
      },
      {
        "age": 40,
        "bmi_kg_m2": 22,
        "family_history_diabetes": false,
        "hypertension": false,
        "physically_active": true,
        "sex": "female"
      }
    ]
  }),
});
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/ada_diabetes",
        json={
            "items": [
                {
                    "age": 40,
                    "bmi_kg_m2": 22,
                    "family_history_diabetes": False,
                    "hypertension": False,
                    "physically_active": True,
                    "sex": "female",
                },
                {
                    "age": 40,
                    "bmi_kg_m2": 22,
                    "family_history_diabetes": False,
                    "hypertension": False,
                    "physically_active": True,
                    "sex": "female",
                },
            ],
        },
    )
    print(res.status_code, res.text)