ToolVet
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Calc Grobman Vbac

by magent in AI models & inference

x402 APIPassing, checked 10 h ago

Grobman 2007 first prenatal visit logistic probability of vaginal birth after cesarean from maternal age, prepregnancy BMI, caller-assigned ethnicity (african_american, hispanic, or other), any prior vaginal delivery, prior VBAC after cesarean, and recurrent cesarean indication. Ethnicity uses the paper terms; magent does not assign race or ethnicity. Not the 2009/2010 admission model and not Grobman 2021. Not a trial-of-labor order.

GET
https://api.magentlab.com/api/calc/grobman_vbac
Price
$0.005
per call in USDC
Uptime
100%
last 30 days
Response time
172 ms
299 ms slowest 5%
Last check
Passed
10 h ago, next any minute now

Run a free test callHow to call it

Reliability

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How to call it

GET https://api.magentlab.com/api/calc/grobman_vbac

Each call costs $0.005 in USDC on Base, paid with the request over x402.

Run a free test callOne unpaid request, the way an agent sends it. You see the payment challenge it gets back. Nothing is charged.

Example request

From the listing.

GET https://api.magentlab.com/api/calc/grobman_vbac?age=30&bmi_kg_m2=25&ethnicity=other&prior_vaginal=false&prior_vbac=false&recurrent_indication=false

Parameters

ParameterTypeRequiredDescription
ageintegerYesMaternal age in years (integer 12-55). Grobman 2007 coefficient -0.039 per year. 12-55 is a clinical range for TOLAC; the paper does not print that clamp. magent does not take a date of birth.
bmi_kg_m2numberYesPrepregnancy BMI in kg/m^2 (15-70). Grobman 2007 coefficient -0.060. 15-70 is a clinical range; the paper does not print that clamp. Caller-supplied; magent does not compute BMI from height and weight.
ethnicitystringYesCaller-assigned ethnicity as used in Grobman 2007: african_american, hispanic, or other (mutually exclusive paper terms; other is the reference). magent does not assign race or ethnicity. One of: african_american, hispanic, other.
prior_vaginalbooleanYesAny prior vaginal delivery as assigned by the caller (Grobman 2007). true scores +0.888. true or false. magent does not read the obstetric history.
prior_vbacbooleanYesVBAC after prior cesarean as assigned by the caller (Grobman 2007). true scores +1.003. true or false. magent does not infer this from prior_vaginal.
recurrent_indicationbooleanYesRecurring indication for cesarean as assigned by the caller (Grobman 2007). true scores -0.632. true or false. magent does not read the operative indication.

Example response

The provider's example. We can't check it without paying.

{
  "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
}

Call it from code

The curl command shows the payment challenge. The JavaScript and Python versions pay and call, and never pay more than $0.005.

curl: see the payment challenge
# bash or zsh: see the payment challenge. Nothing is charged.
curl -sS -g -i 'https://api.magentlab.com/api/calc/grobman_vbac?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 - 'https://api.magentlab.com/api/calc/grobman_vbac?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
JavaScript: pay and call
// 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 $0.005 per call.
const client = new x402Client().setSpendControls({ maxAmountPerPayment: "$0.005" });
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 $0.005 per payment. GET https://toolvet.app/api/v1/check?url=https%3A%2F%2Fapi.magentlab.com%2Fapi%2Fcalc%2Fgrobman_vbac
const res = await pay("https://api.magentlab.com/api/calc/grobman_vbac?age=30&bmi_kg_m2=25&ethnicity=other&prior_vaginal=false&prior_vbac=false&recurrent_indication=false");
console.log(res.status, await res.text());
Python: pay and call
# 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 $0.005 per call.
client = x402ClientSync().set_spend_controls({"max_amount_per_payment": "$0.005"})
register_exact_evm_client(client, EthAccountSigner(Account.from_key(os.environ["EVM_PRIVATE_KEY"])))

with x402_requests(client) as session:
    res = session.get("https://api.magentlab.com/api/calc/grobman_vbac?age=30&bmi_kg_m2=25&ethnicity=other&prior_vaginal=false&prior_vbac=false&recurrent_indication=false")
    print(res.status_code, res.text)

Security scan

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Recent checks

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10 h agoPassed402231 ms$0.005
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2 days agoPassed402299 ms$0.005
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4 days agoPassed402144 ms$0.005