75trust / 100

Calc Sedan

by magent in Other

x402 APIPassing, checked 7 h ago

SEDAN (Strbian 2012 Ann Neurol) for sICH after stroke thrombolysis. Glucose 8.1-12.0 mmol/L (1) or >12.0 (2); early infarct signs (1); hyperdense cerebral artery (1); age >75 (1); admission NIHSS ≥10 (1); max 6. Derivation absolute sICH 1.4%, 2.9%, 8.5%, 12.2%, 21.7%, 33.3% for scores 0-5; no published percent for 6. Not a tPA withhold decision. magent does not assign NIHSS or read CT.

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

Run a free test callHow to call it

Reliability

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Status and outage history · Atom feed · Watch with other listings

How to call it

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

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/sedan?age=60&early_infarct_signs=false&glucose_mg_dl=108&glucose_mmol_l=6&hyperdense_artery=false&nihss=5

Parameters

ParameterTypeRequiredDescription
ageintegerYesAge in years (18-120). >75 scores 1; 75 does not (Strbian 2012). magent does not date the patient.
early_infarct_signsbooleanYesEarly infarct signs on admission CT as assigned by the caller (Strbian 2012). true scores 1; false scores 0. magent does not read the CT.
glucose_mg_dlnumberNoBaseline glucose in mg/dL (50-1000). Converted as mmol/L = mg/dL / 18. Provide this or glucose_mmol_l, not both.
glucose_mmol_lnumberNoBaseline glucose in mmol/L (2.8-55.5). Provide this or glucose_mg_dl, not both. 8.1-12.0 inclusive scores 1; >12.0 scores 2; else 0 (Strbian 2012).
hyperdense_arterybooleanYes(Hyper)dense cerebral artery sign on admission CT as assigned by the caller (Strbian 2012). true scores 1; false scores 0. magent does not read the CT.
nihssintegerYesCaller-assigned NIH Stroke Scale total (integer 0-42). ≥10 scores 1; 9 does not. magent does not compute NIHSS or examine the patient.

Example response

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

Example response, 50 lines
{
  "age_years": 60,
  "citation": {
    "authors": "Strbian D, Engelter S, Michel P, Meretoja A, Sekoranja L, Ahlhelm FJ, Mustanoja S, Lynch J, Soinne L, Sairanen T, Lyrer P, Tatlisumak T",
    "doi": "10.1002/ana.23546",
    "id": "strbian-2012-sedan",
    "source": "Ann Neurol. 2012;71(5):634-641",
    "title": "Symptomatic intracranial hemorrhage after stroke thrombolysis: the SEDAN score"
  },
  "components": [
    {
      "factor": "glucose",
      "points": 0,
      "present": false,
      "value": 6
    },
    {
      "factor": "early_infarct_signs",
      "points": 0,
      "present": false
    },
    {
      "factor": "hyperdense_artery",
      "points": 0,
      "present": false
    },
    {
      "factor": "age",
      "points": 0,
      "present": false,
      "value": 60
    },
    {
      "factor": "nihss",
      "points": 0,
      "present": false,
      "value": 5
    }
  ],
  "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.",
  "early_infarct_signs": false,
  "formula": "sedan",
  "formula_expression": "SEDAN = glucose (8.1-12.0 mmol/L 1; >12.0 mmol/L 2) + early_infarct_signs 1 + hyperdense_artery 1 + (age >75) 1 + (NIHSS >=10) 1; max 6; derivation sICH 1.4/2.9/8.5/12.2/21.7/33.3% for scores 0-5 (Strbian 2012); no published percent for 6",
  "glucose_mmol_l": 6,
  "hyperdense_artery": false,
  "max_score": 6,
  "nihss": 5,
  "score": 0,
  "sich_percent": 1.4
}

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/sedan?age=60&early_infarct_signs=false&glucose_mg_dl=108&glucose_mmol_l=6&hyperdense_artery=false&nihss=5'

# 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/sedan?age=60&early_infarct_signs=false&glucose_mg_dl=108&glucose_mmol_l=6&hyperdense_artery=false&nihss=5' \
  | 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%2Fsedan
const res = await pay("https://api.magentlab.com/api/calc/sedan?age=60&early_infarct_signs=false&glucose_mg_dl=108&glucose_mmol_l=6&hyperdense_artery=false&nihss=5");
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/sedan?age=60&early_infarct_signs=false&glucose_mg_dl=108&glucose_mmol_l=6&hyperdense_artery=false&nihss=5")
    print(res.status_code, res.text)

Security scan

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Recent checks

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7 h agoPassed402270 ms$0.005
18 h agoPassed402365 ms$0.005
28 h agoPassed402134 ms$0.005
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2 days agoPassed402258 ms$0.005
Show 6 older checks
2 days agoPassed402142 ms$0.005
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4 days agoPassed402240 ms$0.005
4 days agoPassed402300 ms$0.005
4 days agoPassed402139 ms$0.005