Calc Leibovich 2018
by magent in AI models & inference
Leibovich 2018 histology-specific RCC models after surgery. Required histology clear_cell, papillary, or chromophobe. ccRCC PFS points (2010 TNM): t1a/t1b/t2a 0, t2b 2, t3a-t3c 3, t4 4; nx/n0 0, n1 2; size ≥10 cm 1; grade 1-2 0, 3 1, 4 3; necrosis 2; max 12; risk low 0-2, intermediate 3-5, high ≥6. Papillary and chromophobe return the 2018 three PFS groups (score 0-2). Not SSIGN. Not Leibovich 2003. magent does not stage or read pathology. Not a diagnosis. Not a medical device.
https://api.magentlab.com/api/calc/leibovich_2018- Price
- $0.007
- per call in USDC
- Uptime
- 97.0%
- last 30 days
- Response time
- 161 ms
- 378 ms slowest 5%
- Last check
- Failed
- 4 h ago, next any minute now
Reliability
Latest check failed 4 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/leibovich_2018
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/leibovich_2018
content-type: application/json
{
"items": [
{
"histology": "clear_cell",
"n_stage": "n0",
"necrosis": false,
"nuclear_grade": 2,
"t_stage": "t1a",
"tumor_size_cm": 3
},
{
"histology": "clear_cell",
"n_stage": "n0",
"necrosis": false,
"nuclear_grade": 2,
"t_stage": "t1a",
"tumor_size_cm": 3
}
]
}Parameters
| Parameter | Type | Required | Description |
|---|---|---|---|
items | array of object | Yes |
Example response
The provider's example. We can't check it without paying.
Example response, 112 lines
{
"count": 2,
"items": [
{
"citation": {
"authors": "Leibovich BC, Lohse CM, Cheville JC, Zaid HB, Boorjian SA, Frank I, Thompson RH, Parker WP",
"doi": "10.1016/j.eururo.2018.01.005",
"id": "leibovich-2018",
"pmid": "29398265",
"source": "Eur Urol. 2018;73(5):772-780",
"title": "Predicting Oncologic Outcomes in Renal Cell Carcinoma After Surgery"
},
"components": [
{
"factor": "t_stage",
"points": 0,
"present": true,
"value": "t1a"
},
{
"factor": "n_stage",
"points": 0,
"present": true,
"value": "n0"
},
{
"factor": "tumor_size_cm",
"points": 0,
"present": false,
"value": 3
},
{
"factor": "nuclear_grade",
"points": 0,
"present": true,
"value": 2
},
{
"factor": "necrosis",
"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": "leibovich_2018",
"formula_expression": "ccRCC PFS (Leibovich 2018, 2010 TNM): t_stage (t1a/t1b/t2a 0, t2b 2, t3a/t3b/t3c 3, t4 4) + n_stage (nx/n0 0, n1 2) + tumor_size_cm >=10 1 + nuclear_grade (1-2 0, 3 1, 4 3) + necrosis 2; max 12; risk low 0-2, intermediate 3-5, high >=6. papillary PFS groups: low grade 1-2 and t1-t2; intermediate grade 3 and t1-t2; high grade 4 or t3a-t4 (fat or thrombus). chromophobe PFS groups: low t1-t2 and nx/n0; intermediate t3a-t4 and nx/n0 (fat); high n1. Not Frank 2002 SSIGN. Not Leibovich 2003. No chromophobe CSS model.",
"histology": "clear_cell",
"max_score": 12,
"n_stage": "n0",
"necrosis": false,
"nuclear_grade": 2,
"risk": "low",
"score": 0,
"t_stage": "t1a",
"tumor_size_cm": 3
},
{
"citation": {
"authors": "Leibovich BC, Lohse CM, Cheville JC, Zaid HB, Boorjian SA, Frank I, Thompson RH, Parker WP",
"doi": "10.1016/j.eururo.2018.01.005",
"id": "leibovich-2018",
"pmid": "29398265",
"source": "Eur Urol. 2018;73(5):772-780",
"title": "Predicting Oncologic Outcomes in Renal Cell Carcinoma After Surgery"
},
"components": [
{
"factor": "t_stage",
"points": 0,
"present": true,
"value": "t1a"
},
{
"factor": "n_stage",
"points": 0,
"present": true,
"value": "n0"
},
{
"factor": "tumor_size_cm",
"points": 0,
"present": false,
"value": 3
},
{
"factor": "nuclear_grade",
"points": 0,
"present": true,
"value": 2
},
{
"factor": "necrosis",
"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": "leibovich_2018",
"formula_expression": "ccRCC PFS (Leibovich 2018, 2010 TNM): t_stage (t1a/t1b/t2a 0, t2b 2, t3a/t3b/t3c 3, t4 4) + n_stage (nx/n0 0, n1 2) + tumor_size_cm >=10 1 + nuclear_grade (1-2 0, 3 1, 4 3) + necrosis 2; max 12; risk low 0-2, intermediate 3-5, high >=6. papillary PFS groups: low grade 1-2 and t1-t2; intermediate grade 3 and t1-t2; high grade 4 or t3a-t4 (fat or thrombus). chromophobe PFS groups: low t1-t2 and nx/n0; intermediate t3a-t4 and nx/n0 (fat); high n1. Not Frank 2002 SSIGN. Not Leibovich 2003. No chromophobe CSS model.",
"histology": "clear_cell",
"max_score": 12,
"n_stage": "n0",
"necrosis": false,
"nuclear_grade": 2,
"risk": "low",
"score": 0,
"t_stage": "t1a",
"tumor_size_cm": 3
}
],
"path": "/api/calc/leibovich_2018"
}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/leibovich_2018' \
-H 'content-type: application/json' \
--data-raw '{"items":[{"histology":"clear_cell","n_stage":"n0","necrosis":false,"nuclear_grade":2,"t_stage":"t1a","tumor_size_cm":3},{"histology":"clear_cell","n_stage":"n0","necrosis":false,"nuclear_grade":2,"t_stage":"t1a","tumor_size_cm":3}]}'
# 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/leibovich_2018' \
-H 'content-type: application/json' \
--data-raw '{"items":[{"histology":"clear_cell","n_stage":"n0","necrosis":false,"nuclear_grade":2,"t_stage":"t1a","tumor_size_cm":3},{"histology":"clear_cell","n_stage":"n0","necrosis":false,"nuclear_grade":2,"t_stage":"t1a","tumor_size_cm":3}]}' \
| grep -i '^payment-required:' | cut -d' ' -f2 | tr -d '\r' | base64 --decodeJavaScript: 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%2Fleibovich_2018&method=POST
const res = await pay("https://api.magentlab.com/api/calc/leibovich_2018", {
method: "POST",
headers: { "content-type": "application/json" },
body: JSON.stringify({
"items": [
{
"histology": "clear_cell",
"n_stage": "n0",
"necrosis": false,
"nuclear_grade": 2,
"t_stage": "t1a",
"tumor_size_cm": 3
},
{
"histology": "clear_cell",
"n_stage": "n0",
"necrosis": false,
"nuclear_grade": 2,
"t_stage": "t1a",
"tumor_size_cm": 3
}
]
}),
});
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/leibovich_2018",
json={
"items": [
{
"histology": "clear_cell",
"n_stage": "n0",
"necrosis": False,
"nuclear_grade": 2,
"t_stage": "t1a",
"tumor_size_cm": 3,
},
{
"histology": "clear_cell",
"n_stage": "n0",
"necrosis": False,
"nuclear_grade": 2,
"t_stage": "t1a",
"tumor_size_cm": 3,
},
],
},
)
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
| When | Result | HTTP | Time | Price |
|---|---|---|---|---|
| 4 h ago | Timed out | - | - | - |
| 9 h ago | Passed | 402 | 335 ms | $0.007 |
| 14 h ago | Passed | 402 | 244 ms | $0.007 |
| 19 h ago | Passed | 402 | 295 ms | $0.007 |
| 24 h ago | Passed | 402 | 148 ms | $0.007 |
Show 10 older checks
| 28 h ago | Passed | 402 | 318 ms | $0.007 |
| 33 h ago | Passed | 402 | 265 ms | $0.007 |
| 37 h ago | Passed | 402 | 147 ms | $0.007 |
| 41 h ago | Passed | 402 | 245 ms | $0.007 |
| 45 h ago | Passed | 402 | 309 ms | $0.007 |
| 2 days ago | Passed | 402 | 148 ms | $0.007 |
| 2 days ago | Passed | 402 | 161 ms | $0.007 |
| 2 days ago | Passed | 402 | 269 ms | $0.007 |
| 3 days ago | Passed | 402 | 141 ms | $0.007 |
| 3 days ago | Passed | 402 | 413 ms | $0.007 |
History
| 11 Oct 2026 | Price changed from $0.005 to $0.007 |