Calc Grobman Vbac

{
  "count": 2,
  "items": [
    {
      "age_years": 30,
      "bmi_kg_m2": 25,
      "citation": {
        "authors": "Grobman WA, Lai Y, Landon MB, Spong CY, Leveno KJ, Rouse DJ, Varner MW, Moawad AH, Caritis SN, Harper M, Wapner RJ, Sorokin Y, Miodovnik M, Carpenter M, Peaceman AM, O'Sullivan MJ, Sibai BM, Langer O, Thorp JM, Ramin SM, Mercer BM; National Institute of Child Health and Human Development (NICHD) Maternal-Fetal Medicine Units Network (MFMU)",
        "doi": "10.1097/01.AOG.0000259312.36053.02",
        "id": "grobman-2007-vbac",
        "pmid": "17400840",
        "source": "Obstet Gynecol. 2007;109(4):806-812",
        "title": "Development of a nomogram for prediction of vaginal birth after cesarean delivery"
      },
      "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.",
      "ethnicity": "other",
      "formula": "grobman_vbac",
      "formula_expression": "w = 3.766 - 0.039*age_years - 0.060*prepregnancy_bmi - 0.671*[african_american] - 0.680*[hispanic] + 0.888*[any prior vaginal delivery] + 1.003*[VBAC after prior cesarean] - 0.632*[recurring indication for cesarean]; vbac_probability = exp(w)/(1+exp(w)); ethnicity african_american|hispanic|other (caller-assigned Grobman 2007 terms, mutually exclusive; other is the reference; magent does not assign race or ethnicity); flags 1 if true else 0; first prenatal visit model; round linear_predictor and vbac_probability 3 decimals; not Grobman 2009/2010 admission; not Grobman 2021 race-free; not a TOLAC order",
      "linear_predictor": 1.096,
      "prior_vaginal": false,
      "prior_vbac": false,
      "recurrent_indication": false,
      "vbac_probability": 0.75
    },
    {
      "age_years": 30,
      "bmi_kg_m2": 25,
      "citation": {
        "authors": "Grobman WA, Lai Y, Landon MB, Spong CY, Leveno KJ, Rouse DJ, Varner MW, Moawad AH, Caritis SN, Harper M, Wapner RJ, Sorokin Y, Miodovnik M, Carpenter M, Peaceman AM, O'Sullivan MJ, Sibai BM, Langer O, Thorp JM, Ramin SM, Mercer BM; National Institute of Child Health and Human Development (NICHD) Maternal-Fetal Medicine Units Network (MFMU)",
        "doi": "10.1097/01.AOG.0000259312.36053.02",
        "id": "grobman-2007-vbac",
        "pmid": "17400840",
        "source": "Obstet Gynecol. 2007;109(4):806-812",
        "title": "Development of a nomogram for prediction of vaginal birth after cesarean delivery"
      },
      "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.",
      "ethnicity": "other",
      "formula": "grobman_vbac",
      "formula_expression": "w = 3.766 - 0.039*age_years - 0.060*prepregnancy_bmi - 0.671*[african_american] - 0.680*[hispanic] + 0.888*[any prior vaginal delivery] + 1.003*[VBAC after prior cesarean] - 0.632*[recurring indication for cesarean]; vbac_probability = exp(w)/(1+exp(w)); ethnicity african_american|hispanic|other (caller-assigned Grobman 2007 terms, mutually exclusive; other is the reference; magent does not assign race or ethnicity); flags 1 if true else 0; first prenatal visit model; round linear_predictor and vbac_probability 3 decimals; not Grobman 2009/2010 admission; not Grobman 2021 race-free; not a TOLAC order",
      "linear_predictor": 1.096,
      "prior_vaginal": false,
      "prior_vbac": false,
      "recurrent_indication": false,
      "vbac_probability": 0.75
    }
  ],
  "path": "/api/calc/grobman_vbac"
}

# bash or zsh: see the payment challenge. Nothing is charged.
curl -sS -g -i -X POST 'https://api.magentlab.com/api/calc/grobman_vbac' \
  -H 'content-type: application/json' \
  --data-raw '{"items":[{"age":30,"bmi_kg_m2":25,"ethnicity":"other","prior_vaginal":false,"prior_vbac":false,"recurrent_indication":false},{"age":30,"bmi_kg_m2":25,"ethnicity":"other","prior_vaginal":false,"prior_vbac":false,"recurrent_indication":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/grobman_vbac' \
  -H 'content-type: application/json' \
  --data-raw '{"items":[{"age":30,"bmi_kg_m2":25,"ethnicity":"other","prior_vaginal":false,"prior_vbac":false,"recurrent_indication":false},{"age":30,"bmi_kg_m2":25,"ethnicity":"other","prior_vaginal":false,"prior_vbac":false,"recurrent_indication":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%2Fgrobman_vbac&method=POST
const res = await pay("https://api.magentlab.com/api/calc/grobman_vbac", {
  method: "POST",
  headers: { "content-type": "application/json" },
  body: JSON.stringify({
    "items": [
      {
        "age": 30,
        "bmi_kg_m2": 25,
        "ethnicity": "other",
        "prior_vaginal": false,
        "prior_vbac": false,
        "recurrent_indication": false
      },
      {
        "age": 30,
        "bmi_kg_m2": 25,
        "ethnicity": "other",
        "prior_vaginal": false,
        "prior_vbac": false,
        "recurrent_indication": 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/grobman_vbac",
        json={
            "items": [
                {
                    "age": 30,
                    "bmi_kg_m2": 25,
                    "ethnicity": "other",
                    "prior_vaginal": False,
                    "prior_vbac": False,
                    "recurrent_indication": False,
                },
                {
                    "age": 30,
                    "bmi_kg_m2": 25,
                    "ethnicity": "other",
                    "prior_vaginal": False,
                    "prior_vbac": False,
                    "recurrent_indication": False,
                },
            ],
        },
    )
    print(res.status_code, res.text)