68trust / 100

Calc Improve Vte

by magent in AI models & inference

x402 APIFailing, checked 2 h ago

Spyropoulos 2011 7-factor associative IMPROVE VTE score during hospitalization: previous VTE 3, known thrombophilia 2, lower-limb paralysis 2, current cancer 2, immobilized >=7 days 1, ICU/CCU stay 1, age >60 1. Max 12. Bands: 0-1; 2-3 (observed VTE 1.5%); >=4 (observed VTE 5.7%). Not a VTE diagnosis or prophylaxis order. Not the 4-factor admission predictive model. Not IMPROVEDD. magent does not examine the patient.

POST
https://api.magentlab.com/api/calc/improve_vte
Price
$0.007
per call in USDC
Uptime
94.1%
last 30 days
Response time
239 ms
532 ms slowest 5%
Last check
Failed
2 h ago, next any minute now

Run a free test callHow to call it

Reliability

All checks passedSome failedAll failedNot checked

Latest check failed 2 h ago: Timed out

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

How to call it

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

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/improve_vte
content-type: application/json

{
  "items": [
    {
      "age": 50,
      "current_cancer": false,
      "icu_ccu_stay": false,
      "immobilized_ge_7_days": false,
      "known_thrombophilia": false,
      "lower_limb_paralysis": false,
      "previous_vte": false
    },
    {
      "age": 50,
      "current_cancer": false,
      "icu_ccu_stay": false,
      "immobilized_ge_7_days": false,
      "known_thrombophilia": false,
      "lower_limb_paralysis": false,
      "previous_vte": false
    }
  ]
}

Parameters

ParameterTypeRequiredDescription
itemsarray of objectYes

Example response

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

Example response, 116 lines
{
  "count": 2,
  "items": [
    {
      "age_years": 50,
      "citation": {
        "authors": "Spyropoulos AC, Anderson FA Jr, FitzGerald G, Decousus H, Pini M, Chong BH, Zotz RB, Bergmann JF, Tapson VF, Froehlich JB, Monreal M, Merli GJ, Pavanello R, Turpie AGG, Nakamura M, Piovella F, Kakkar AK, Spencer FA, IMPROVE Investigators",
        "doi": "10.1378/chest.10-1944",
        "id": "spyropoulos-2011",
        "pmid": "21436241",
        "source": "Chest. 2011;140(3):706-714",
        "title": "Predictive and associative models to identify hospitalized medical patients at risk for VTE"
      },
      "components": [
        {
          "factor": "previous_vte",
          "points": 0,
          "present": false
        },
        {
          "factor": "known_thrombophilia",
          "points": 0,
          "present": false
        },
        {
          "factor": "lower_limb_paralysis",
          "points": 0,
          "present": false
        },
        {
          "factor": "current_cancer",
          "points": 0,
          "present": false
        },
        {
          "factor": "immobilized_ge_7_days",
          "points": 0,
          "present": false
        },
        {
          "factor": "icu_ccu_stay",
          "points": 0,
          "present": false
        },
        {
          "factor": "age_gt_60",
          "points": 0,
          "present": false,
          "value": 50
        }
      ],
      "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": "improve_vte",
      "formula_expression": "IMPROVE VTE (Spyropoulos 2011 7-factor associative during hospitalization) = previous_vte (3) + known_thrombophilia (2) + lower_limb_paralysis (2) + current_cancer (2) + immobilized_ge_7_days (1) + icu_ccu_stay (1) + age>60 (1); max 12; 0-1, 2-3 (observed VTE 1.5%), >=4 (observed VTE 5.7%); not the 4-factor admission predictive model; not IMPROVEDD",
      "max_score": 12,
      "score": 0,
      "vte_band": "0-1"
    },
    {
      "age_years": 50,
      "citation": {
        "authors": "Spyropoulos AC, Anderson FA Jr, FitzGerald G, Decousus H, Pini M, Chong BH, Zotz RB, Bergmann JF, Tapson VF, Froehlich JB, Monreal M, Merli GJ, Pavanello R, Turpie AGG, Nakamura M, Piovella F, Kakkar AK, Spencer FA, IMPROVE Investigators",
        "doi": "10.1378/chest.10-1944",
        "id": "spyropoulos-2011",
        "pmid": "21436241",
        "source": "Chest. 2011;140(3):706-714",
        "title": "Predictive and associative models to identify hospitalized medical patients at risk for VTE"
      },
      "components": [
        {
          "factor": "previous_vte",
          "points": 0,
          "present": false
        },
        {
          "factor": "known_thrombophilia",
          "points": 0,
          "present": false
        },
        {
          "factor": "lower_limb_paralysis",
          "points": 0,
          "present": false
        },
        {
          "factor": "current_cancer",
          "points": 0,
          "present": false
        },
        {
          "factor": "immobilized_ge_7_days",
          "points": 0,
          "present": false
        },
        {
          "factor": "icu_ccu_stay",
          "points": 0,
          "present": false
        },
        {
          "factor": "age_gt_60",
          "points": 0,
          "present": false,
          "value": 50
        }
      ],
      "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": "improve_vte",
      "formula_expression": "IMPROVE VTE (Spyropoulos 2011 7-factor associative during hospitalization) = previous_vte (3) + known_thrombophilia (2) + lower_limb_paralysis (2) + current_cancer (2) + immobilized_ge_7_days (1) + icu_ccu_stay (1) + age>60 (1); max 12; 0-1, 2-3 (observed VTE 1.5%), >=4 (observed VTE 5.7%); not the 4-factor admission predictive model; not IMPROVEDD",
      "max_score": 12,
      "score": 0,
      "vte_band": "0-1"
    }
  ],
  "path": "/api/calc/improve_vte"
}

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/improve_vte' \
  -H 'content-type: application/json' \
  --data-raw '{"items":[{"age":50,"current_cancer":false,"icu_ccu_stay":false,"immobilized_ge_7_days":false,"known_thrombophilia":false,"lower_limb_paralysis":false,"previous_vte":false},{"age":50,"current_cancer":false,"icu_ccu_stay":false,"immobilized_ge_7_days":false,"known_thrombophilia":false,"lower_limb_paralysis":false,"previous_vte":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/improve_vte' \
  -H 'content-type: application/json' \
  --data-raw '{"items":[{"age":50,"current_cancer":false,"icu_ccu_stay":false,"immobilized_ge_7_days":false,"known_thrombophilia":false,"lower_limb_paralysis":false,"previous_vte":false},{"age":50,"current_cancer":false,"icu_ccu_stay":false,"immobilized_ge_7_days":false,"known_thrombophilia":false,"lower_limb_paralysis":false,"previous_vte":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%2Fimprove_vte&method=POST
const res = await pay("https://api.magentlab.com/api/calc/improve_vte", {
  method: "POST",
  headers: { "content-type": "application/json" },
  body: JSON.stringify({
    "items": [
      {
        "age": 50,
        "current_cancer": false,
        "icu_ccu_stay": false,
        "immobilized_ge_7_days": false,
        "known_thrombophilia": false,
        "lower_limb_paralysis": false,
        "previous_vte": false
      },
      {
        "age": 50,
        "current_cancer": false,
        "icu_ccu_stay": false,
        "immobilized_ge_7_days": false,
        "known_thrombophilia": false,
        "lower_limb_paralysis": false,
        "previous_vte": 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/improve_vte",
        json={
            "items": [
                {
                    "age": 50,
                    "current_cancer": False,
                    "icu_ccu_stay": False,
                    "immobilized_ge_7_days": False,
                    "known_thrombophilia": False,
                    "lower_limb_paralysis": False,
                    "previous_vte": False,
                },
                {
                    "age": 50,
                    "current_cancer": False,
                    "icu_ccu_stay": False,
                    "immobilized_ge_7_days": False,
                    "known_thrombophilia": False,
                    "lower_limb_paralysis": False,
                    "previous_vte": 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
2 h agoTimed out---
7 h agoTimed out---
12 h agoPassed402435 ms$0.007
17 h agoPassed402147 ms$0.007
21 h agoPassed402218 ms$0.007
Show 10 older checks
26 h agoPassed402269 ms$0.007
31 h agoPassed402149 ms$0.007
35 h agoPassed402365 ms$0.007
40 h agoPassed402321 ms$0.007
43 h agoPassed402140 ms$0.007
2 days agoPassed402339 ms$0.007
2 days agoPassed402304 ms$0.007
2 days agoPassed402185 ms$0.007
3 days agoPassed402261 ms$0.007
3 days agoPassed402267 ms$0.007

History

11 Oct 2026Price changed from $0.005 to $0.007