Calc Dhaka

{
  "count": 2,
  "items": [
    {
      "citation": {
        "authors": "Levine AC, Glavis-Bloom J, Modi P, Nasrin S, Rege S, Chu C, Schmid CH, Alam NH",
        "doi": "10.9745/GHSP-D-15-00097",
        "id": "levine-2015",
        "pmid": "26374802",
        "source": "Glob Health Sci Pract. 2015;3(3):405-418",
        "title": "Empirically Derived Dehydration Scoring and Decision Tree Models for Children With Diarrhea: Assessment and Internal Validation in a Prospective Cohort Study in Dhaka, Bangladesh"
      },
      "components": [
        {
          "factor": "general_appearance",
          "points": 0,
          "present": true,
          "value": "normal"
        },
        {
          "factor": "respirations",
          "points": 0,
          "present": true,
          "value": "normal"
        },
        {
          "factor": "skin_pinch",
          "points": 0,
          "present": true,
          "value": "normal"
        },
        {
          "factor": "tears",
          "points": 0,
          "present": true,
          "value": "normal"
        }
      ],
      "dhaka_band": "no_dehydration",
      "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": "dhaka",
      "formula_expression": "DHAKA = general_appearance (normal 0, restless_irritable 2, lethargic_unconscious 4) + respirations (normal 0, deep 2) + skin_pinch (normal 0, slow 2, very_slow 4) + tears (normal 0, decreased 1, absent 2); Levine 2015 Table 3; max 12",
      "general_appearance": "normal",
      "max_score": 12,
      "respirations": "normal",
      "score": 0,
      "skin_pinch": "normal",
      "tears": "normal"
    },
    {
      "citation": {
        "authors": "Levine AC, Glavis-Bloom J, Modi P, Nasrin S, Rege S, Chu C, Schmid CH, Alam NH",
        "doi": "10.9745/GHSP-D-15-00097",
        "id": "levine-2015",
        "pmid": "26374802",
        "source": "Glob Health Sci Pract. 2015;3(3):405-418",
        "title": "Empirically Derived Dehydration Scoring and Decision Tree Models for Children With Diarrhea: Assessment and Internal Validation in a Prospective Cohort Study in Dhaka, Bangladesh"
      },
      "components": [
        {
          "factor": "general_appearance",
          "points": 0,
          "present": true,
          "value": "normal"
        },
        {
          "factor": "respirations",
          "points": 0,
          "present": true,
          "value": "normal"
        },
        {
          "factor": "skin_pinch",
          "points": 0,
          "present": true,
          "value": "normal"
        },
        {
          "factor": "tears",
          "points": 0,
          "present": true,
          "value": "normal"
        }
      ],
      "dhaka_band": "no_dehydration",
      "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": "dhaka",
      "formula_expression": "DHAKA = general_appearance (normal 0, restless_irritable 2, lethargic_unconscious 4) + respirations (normal 0, deep 2) + skin_pinch (normal 0, slow 2, very_slow 4) + tears (normal 0, decreased 1, absent 2); Levine 2015 Table 3; max 12",
      "general_appearance": "normal",
      "max_score": 12,
      "respirations": "normal",
      "score": 0,
      "skin_pinch": "normal",
      "tears": "normal"
    }
  ],
  "path": "/api/calc/dhaka"
}

# bash or zsh: see the payment challenge. Nothing is charged.
curl -sS -g -i -X POST 'https://api.magentlab.com/api/calc/dhaka' \
  -H 'content-type: application/json' \
  --data-raw '{"items":[{"general_appearance":"normal","respirations":"normal","skin_pinch":"normal","tears":"normal"},{"general_appearance":"normal","respirations":"normal","skin_pinch":"normal","tears":"normal"}]}'

# 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/dhaka' \
  -H 'content-type: application/json' \
  --data-raw '{"items":[{"general_appearance":"normal","respirations":"normal","skin_pinch":"normal","tears":"normal"},{"general_appearance":"normal","respirations":"normal","skin_pinch":"normal","tears":"normal"}]}' \
  | 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%2Fdhaka&method=POST
const res = await pay("https://api.magentlab.com/api/calc/dhaka", {
  method: "POST",
  headers: { "content-type": "application/json" },
  body: JSON.stringify({
    "items": [
      {
        "general_appearance": "normal",
        "respirations": "normal",
        "skin_pinch": "normal",
        "tears": "normal"
      },
      {
        "general_appearance": "normal",
        "respirations": "normal",
        "skin_pinch": "normal",
        "tears": "normal"
      }
    ]
  }),
});
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/dhaka",
        json={
            "items": [
                {
                    "general_appearance": "normal",
                    "respirations": "normal",
                    "skin_pinch": "normal",
                    "tears": "normal",
                },
                {
                    "general_appearance": "normal",
                    "respirations": "normal",
                    "skin_pinch": "normal",
                    "tears": "normal",
                },
            ],
        },
    )
    print(res.status_code, res.text)