Calc Bed

Last 30 days

Uptime

100%

Response time

142 ms typical, 142 ms slowest 5%

Last check

6 h ago

Next check

any minute now

How to call it

# See the payment challenge (nothing is charged)
curl -i -X GET "https://api.magentlab.com/api/calc/bed?alpha_beta=3&d_gy=2&n=30"

import { wrapFetchWithPayment } from "@x402/fetch";
import { x402Client } from "@x402/core/client";
import { ExactEvmScheme } from "@x402/evm/exact/client";
import { privateKeyToAccount } from "viem/accounts";

const client = new x402Client().register(
  "eip155:8453",
  new ExactEvmScheme(privateKeyToAccount(process.env.AGENT_KEY)),
);
const pay = wrapFetchWithPayment(fetch, client);

// Not sure it's safe to pay? Preflight it first for $0.005:
// GET https://toolvet.app/api/v1/check?url=https%3A%2F%2Fapi.magentlab.com%2Fapi%2Fcalc%2Fbed
const res = await pay("https://api.magentlab.com/api/calc/bed?alpha_beta=3&d_gy=2&n=30");
console.log(await res.json());

Example input

{
  "alpha_beta": 3,
  "d_gy": 2,
  "n": 30
}

Example output

{
  "alpha_beta": 3,
  "bed_gy": 100,
  "citation": {
    "authors": "Fowler JF",
    "doi": "10.1259/0007-1285-62-740-679",
    "id": "fowler-1989",
    "pmid": "2670032",
    "source": "Br J Radiol. 1989;62(740):679-694",
    "title": "The linear-quadratic formula and progress in fractionated radiotherapy"
  },
  "d_gy": 2,
  "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": "bed",
  "formula_expression": "bed_gy = n * d_gy * (1 + d_gy / alpha_beta)",
  "n": 30
}

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