71trust / 100

Calc Rosier

by magent in AI models & inference

x402 APIPassing, checked 1 h ago

Nor 2005 ROSIER: seven caller-assigned flags. Loss of consciousness or syncope −1, seizure −1; new acute-onset (or on awakening) asymmetric face, arm, or leg weakness, speech disturbance, and visual field defect +1 each. Range −2 to +5. stroke_more_likely if score > 0. Score ≤ 0 does not exclude stroke. Not a diagnosis, not NIHSS, and not a medical device. magent does not examine the patient or collect a time of onset.

POST
https://api.magentlab.com/api/calc/rosier
Price
$0.007
per call in USDC
Uptime
100%
last 30 days
Response time
171 ms
695 ms slowest 5%
Last check
Passed
1 h ago, next any minute now

Run a free test callHow to call it

Reliability

All checks passedSome failedAll failedNot checked

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

How to call it

POST https://api.magentlab.com/api/calc/rosier

Each call costs $0.007 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.

POST https://api.magentlab.com/api/calc/rosier
content-type: application/json

{
  "items": [
    {
      "asymmetric_arm_weakness": false,
      "asymmetric_face_weakness": false,
      "asymmetric_leg_weakness": false,
      "loss_of_consciousness_or_syncope": false,
      "seizure": false,
      "speech_disturbance": false,
      "visual_field_defect": false
    },
    {
      "asymmetric_arm_weakness": false,
      "asymmetric_face_weakness": false,
      "asymmetric_leg_weakness": false,
      "loss_of_consciousness_or_syncope": false,
      "seizure": false,
      "speech_disturbance": false,
      "visual_field_defect": false
    }
  ]
}

Parameters

ParameterTypeRequiredDescription
itemsarray of objectYes

Example response

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

Example response, 112 lines
{
  "count": 2,
  "items": [
    {
      "citation": {
        "authors": "Nor AM, Davis J, Sen B, et al",
        "doi": "10.1016/S1474-4422(05)70201-5",
        "id": "nor-2005",
        "pmid": "16239179",
        "source": "Lancet Neurol. 2005;4(11):727-734",
        "title": "The Recognition of Stroke in the Emergency Room (ROSIER) scale: development and validation of a stroke recognition instrument"
      },
      "components": [
        {
          "factor": "loss_of_consciousness_or_syncope",
          "points": 0,
          "present": false
        },
        {
          "factor": "seizure",
          "points": 0,
          "present": false
        },
        {
          "factor": "asymmetric_face_weakness",
          "points": 0,
          "present": false
        },
        {
          "factor": "asymmetric_arm_weakness",
          "points": 0,
          "present": false
        },
        {
          "factor": "asymmetric_leg_weakness",
          "points": 0,
          "present": false
        },
        {
          "factor": "speech_disturbance",
          "points": 0,
          "present": false
        },
        {
          "factor": "visual_field_defect",
          "points": 0,
          "present": false
        }
      ],
      "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": "rosier",
      "formula_expression": "ROSIER = -1*loss_of_consciousness_or_syncope - 1*seizure + 1*asymmetric_face_weakness + 1*asymmetric_arm_weakness + 1*asymmetric_leg_weakness + 1*speech_disturbance + 1*visual_field_defect; range -2 to 5; stroke_more_likely iff score > 0 (Nor 2005)",
      "max_score": 5,
      "score": 0,
      "stroke_more_likely": false
    },
    {
      "citation": {
        "authors": "Nor AM, Davis J, Sen B, et al",
        "doi": "10.1016/S1474-4422(05)70201-5",
        "id": "nor-2005",
        "pmid": "16239179",
        "source": "Lancet Neurol. 2005;4(11):727-734",
        "title": "The Recognition of Stroke in the Emergency Room (ROSIER) scale: development and validation of a stroke recognition instrument"
      },
      "components": [
        {
          "factor": "loss_of_consciousness_or_syncope",
          "points": 0,
          "present": false
        },
        {
          "factor": "seizure",
          "points": 0,
          "present": false
        },
        {
          "factor": "asymmetric_face_weakness",
          "points": 0,
          "present": false
        },
        {
          "factor": "asymmetric_arm_weakness",
          "points": 0,
          "present": false
        },
        {
          "factor": "asymmetric_leg_weakness",
          "points": 0,
          "present": false
        },
        {
          "factor": "speech_disturbance",
          "points": 0,
          "present": false
        },
        {
          "factor": "visual_field_defect",
          "points": 0,
          "present": false
        }
      ],
      "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": "rosier",
      "formula_expression": "ROSIER = -1*loss_of_consciousness_or_syncope - 1*seizure + 1*asymmetric_face_weakness + 1*asymmetric_arm_weakness + 1*asymmetric_leg_weakness + 1*speech_disturbance + 1*visual_field_defect; range -2 to 5; stroke_more_likely iff score > 0 (Nor 2005)",
      "max_score": 5,
      "score": 0,
      "stroke_more_likely": false
    }
  ],
  "path": "/api/calc/rosier"
}

Call it from code

The curl command shows the payment challenge. The JavaScript and Python versions pay and call, and never pay more than $0.007.

curl: see the payment challenge
# bash or zsh: see the payment challenge. Nothing is charged.
curl -sS -g -i -X POST 'https://api.magentlab.com/api/calc/rosier' \
  -H 'content-type: application/json' \
  --data-raw '{"items":[{"asymmetric_arm_weakness":false,"asymmetric_face_weakness":false,"asymmetric_leg_weakness":false,"loss_of_consciousness_or_syncope":false,"seizure":false,"speech_disturbance":false,"visual_field_defect":false},{"asymmetric_arm_weakness":false,"asymmetric_face_weakness":false,"asymmetric_leg_weakness":false,"loss_of_consciousness_or_syncope":false,"seizure":false,"speech_disturbance":false,"visual_field_defect":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/rosier' \
  -H 'content-type: application/json' \
  --data-raw '{"items":[{"asymmetric_arm_weakness":false,"asymmetric_face_weakness":false,"asymmetric_leg_weakness":false,"loss_of_consciousness_or_syncope":false,"seizure":false,"speech_disturbance":false,"visual_field_defect":false},{"asymmetric_arm_weakness":false,"asymmetric_face_weakness":false,"asymmetric_leg_weakness":false,"loss_of_consciousness_or_syncope":false,"seizure":false,"speech_disturbance":false,"visual_field_defect":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 $0.007 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%2Frosier&method=POST
const res = await pay("https://api.magentlab.com/api/calc/rosier", {
  method: "POST",
  headers: { "content-type": "application/json" },
  body: JSON.stringify({
    "items": [
      {
        "asymmetric_arm_weakness": false,
        "asymmetric_face_weakness": false,
        "asymmetric_leg_weakness": false,
        "loss_of_consciousness_or_syncope": false,
        "seizure": false,
        "speech_disturbance": false,
        "visual_field_defect": false
      },
      {
        "asymmetric_arm_weakness": false,
        "asymmetric_face_weakness": false,
        "asymmetric_leg_weakness": false,
        "loss_of_consciousness_or_syncope": false,
        "seizure": false,
        "speech_disturbance": false,
        "visual_field_defect": 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 $0.007 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/rosier",
        json={
            "items": [
                {
                    "asymmetric_arm_weakness": False,
                    "asymmetric_face_weakness": False,
                    "asymmetric_leg_weakness": False,
                    "loss_of_consciousness_or_syncope": False,
                    "seizure": False,
                    "speech_disturbance": False,
                    "visual_field_defect": False,
                },
                {
                    "asymmetric_arm_weakness": False,
                    "asymmetric_face_weakness": False,
                    "asymmetric_leg_weakness": False,
                    "loss_of_consciousness_or_syncope": False,
                    "seizure": False,
                    "speech_disturbance": False,
                    "visual_field_defect": False,
                },
            ],
        },
    )
    print(res.status_code, res.text)

Security scan

1 finding

  • Charges more than its listed price in payment
    Listed at $0.005, charges $0.007

Recent checks

WhenResultHTTPTimePrice
1 h agoPassed4021.8 s$0.007
6 h agoPassed402156 ms$0.007
11 h agoPassed402154 ms$0.007
15 h agoPassed402145 ms$0.007
20 h agoPassed402307 ms$0.007
Show 10 older checks
24 h agoPassed402442 ms$0.007
28 h agoPassed402161 ms$0.007
32 h agoPassed402695 ms$0.007
37 h agoPassed402168 ms$0.007
41 h agoPassed402146 ms$0.007
45 h agoPassed402385 ms$0.007
2 days agoPassed402144 ms$0.007
2 days agoPassed402240 ms$0.007
2 days agoPassed402453 ms$0.007
3 days agoPassed402160 ms$0.007

History

11 Oct 2026Price changed from $0.005 to $0.007