68trust / 100

Calc Igan Predict

x402 APIFailing, checked 2 h ago

Barbour 2019 race-free full IgAN model: 5-year risk of 50% eGFR decline or ESKD from age, eGFR, MAP, proteinuria g/day, Oxford MEST, RAS blockade, and immunosuppression at biopsy. Risk = 1 - S0(60)^exp(LP) with eTable 3 coefficients. Caller supplies eGFR; magent does not compute CKD-EPI or score the biopsy. Not the race/ethnicity model. Not KFRE. Not a diagnosis or treatment order. Not a medical device.

POST

https://api.magentlab.com/api/calc/igan_predict

Price: $0.007; per call in USDC
Uptime: 94.1%; last 30 days
Response time: 244 ms; 1.9 s slowest 5%
Last check: Failed; 2 h ago, next any minute now

Run a free test call How to call it

Reliability

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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/igan_predict

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/igan_predict
content-type: application/json

{
  "items": [
    {
      "age_years": 38,
      "egfr_ml_min_1_73m2": 77,
      "immunosuppression_at_biopsy": false,
      "map_mm_hg": 97,
      "mest_e": 0,
      "mest_m": 1,
      "mest_s": 1,
      "mest_t": 0,
      "proteinuria_g_day": 1.1,
      "rasb_at_biopsy": true
    },
    {
      "age_years": 38,
      "egfr_ml_min_1_73m2": 77,
      "immunosuppression_at_biopsy": false,
      "map_mm_hg": 97,
      "mest_e": 0,
      "mest_m": 1,
      "mest_s": 1,
      "mest_t": 0,
      "proteinuria_g_day": 1.1,
      "rasb_at_biopsy": true
    }
  ]
}

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, 60 lines

{
  "count": 2,
  "items": [
    {
      "age_years": 38,
      "citation": {
        "authors": "Barbour SJ, Coppo R, Zhang H, Liu ZH, Suzuki Y, Matsuzaki K, Katafuchi R, Er L, Espino-Hernandez G, Kim SJ, Reich HN, Cattran DC, Feehally J; International IgA Nephropathy Network",
        "doi": "10.1001/jamainternmed.2019.0600",
        "id": "barbour-2019-igan",
        "pmid": "30980653",
        "source": "JAMA Intern Med. 2019;179(7):942-952",
        "title": "Evaluating a new international risk-prediction tool in IgA nephropathy"
      },
      "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.",
      "egfr_ml_min_1_73m2": 77,
      "five_year_risk_percent": 8.8,
      "formula": "igan_predict",
      "formula_expression": "LP = -0.320*(sqrt(egfr_ml_min_1_73m2) - 8.8) + 0.002*(map_mm_hg - 97) - 0.035*(ln(proteinuria_g_day) - 0.09) + 0.004*(map_mm_hg*ln(proteinuria_g_day) - 8.73) + 0.201*M1 - 0.035*E1 + 0.084*S1 + 0.700*T1 + 1.237*T2 + 0.101*T1*ln(proteinuria_g_day) - 0.321*T2*ln(proteinuria_g_day) - 0.017*(age_years - 38) + 0.118*RASB + 0.166*RASB*ln(proteinuria_g_day) - 0.266*immunosuppression; S0(t) = 1.0003754 - 0.1131641*u^2 + 0.0964763*u^2*ln(u), u = (t + 0.1)/100, t months; 5-year risk = 1 - S0(60)^exp(LP); Barbour 2019 eTable 3 full model without race/ethnicity only; M/E/S/T1/T2 RASB and immunosuppression are 0 or 1; natural log; caller supplies eGFR; not the race model; not KFRE",
      "horizon_months": 60,
      "immunosuppression_at_biopsy": false,
      "linear_predictor": 0.4287,
      "map_mm_hg": 97,
      "mest_e": 0,
      "mest_m": 1,
      "mest_s": 1,
      "mest_t": 0,
      "proteinuria_g_day": 1.1,
      "rasb_at_biopsy": true,
      "s0_5_year": 0.94176
    },
    {
      "age_years": 38,
      "citation": {
        "authors": "Barbour SJ, Coppo R, Zhang H, Liu ZH, Suzuki Y, Matsuzaki K, Katafuchi R, Er L, Espino-Hernandez G, Kim SJ, Reich HN, Cattran DC, Feehally J; International IgA Nephropathy Network",
        "doi": "10.1001/jamainternmed.2019.0600",
        "id": "barbour-2019-igan",
        "pmid": "30980653",
        "source": "JAMA Intern Med. 2019;179(7):942-952",
        "title": "Evaluating a new international risk-prediction tool in IgA nephropathy"
      },
      "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.",
      "egfr_ml_min_1_73m2": 77,
      "five_year_risk_percent": 8.8,
      "formula": "igan_predict",
      "formula_expression": "LP = -0.320*(sqrt(egfr_ml_min_1_73m2) - 8.8) + 0.002*(map_mm_hg - 97) - 0.035*(ln(proteinuria_g_day) - 0.09) + 0.004*(map_mm_hg*ln(proteinuria_g_day) - 8.73) + 0.201*M1 - 0.035*E1 + 0.084*S1 + 0.700*T1 + 1.237*T2 + 0.101*T1*ln(proteinuria_g_day) - 0.321*T2*ln(proteinuria_g_day) - 0.017*(age_years - 38) + 0.118*RASB + 0.166*RASB*ln(proteinuria_g_day) - 0.266*immunosuppression; S0(t) = 1.0003754 - 0.1131641*u^2 + 0.0964763*u^2*ln(u), u = (t + 0.1)/100, t months; 5-year risk = 1 - S0(60)^exp(LP); Barbour 2019 eTable 3 full model without race/ethnicity only; M/E/S/T1/T2 RASB and immunosuppression are 0 or 1; natural log; caller supplies eGFR; not the race model; not KFRE",
      "horizon_months": 60,
      "immunosuppression_at_biopsy": false,
      "linear_predictor": 0.4287,
      "map_mm_hg": 97,
      "mest_e": 0,
      "mest_m": 1,
      "mest_s": 1,
      "mest_t": 0,
      "proteinuria_g_day": 1.1,
      "rasb_at_biopsy": true,
      "s0_5_year": 0.94176
    }
  ],
  "path": "/api/calc/igan_predict"
}

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/igan_predict' \
  -H 'content-type: application/json' \
  --data-raw '{"items":[{"age_years":38,"egfr_ml_min_1_73m2":77,"immunosuppression_at_biopsy":false,"map_mm_hg":97,"mest_e":0,"mest_m":1,"mest_s":1,"mest_t":0,"proteinuria_g_day":1.1,"rasb_at_biopsy":true},{"age_years":38,"egfr_ml_min_1_73m2":77,"immunosuppression_at_biopsy":false,"map_mm_hg":97,"mest_e":0,"mest_m":1,"mest_s":1,"mest_t":0,"proteinuria_g_day":1.1,"rasb_at_biopsy":true}]}'

# 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/igan_predict' \
  -H 'content-type: application/json' \
  --data-raw '{"items":[{"age_years":38,"egfr_ml_min_1_73m2":77,"immunosuppression_at_biopsy":false,"map_mm_hg":97,"mest_e":0,"mest_m":1,"mest_s":1,"mest_t":0,"proteinuria_g_day":1.1,"rasb_at_biopsy":true},{"age_years":38,"egfr_ml_min_1_73m2":77,"immunosuppression_at_biopsy":false,"map_mm_hg":97,"mest_e":0,"mest_m":1,"mest_s":1,"mest_t":0,"proteinuria_g_day":1.1,"rasb_at_biopsy":true}]}' \
  | 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%2Figan_predict&method=POST
const res = await pay("https://api.magentlab.com/api/calc/igan_predict", {
  method: "POST",
  headers: { "content-type": "application/json" },
  body: JSON.stringify({
    "items": [
      {
        "age_years": 38,
        "egfr_ml_min_1_73m2": 77,
        "immunosuppression_at_biopsy": false,
        "map_mm_hg": 97,
        "mest_e": 0,
        "mest_m": 1,
        "mest_s": 1,
        "mest_t": 0,
        "proteinuria_g_day": 1.1,
        "rasb_at_biopsy": true
      },
      {
        "age_years": 38,
        "egfr_ml_min_1_73m2": 77,
        "immunosuppression_at_biopsy": false,
        "map_mm_hg": 97,
        "mest_e": 0,
        "mest_m": 1,
        "mest_s": 1,
        "mest_t": 0,
        "proteinuria_g_day": 1.1,
        "rasb_at_biopsy": true
      }
    ]
  }),
});
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/igan_predict",
        json={
            "items": [
                {
                    "age_years": 38,
                    "egfr_ml_min_1_73m2": 77,
                    "immunosuppression_at_biopsy": False,
                    "map_mm_hg": 97,
                    "mest_e": 0,
                    "mest_m": 1,
                    "mest_s": 1,
                    "mest_t": 0,
                    "proteinuria_g_day": 1.1,
                    "rasb_at_biopsy": True,
                },
                {
                    "age_years": 38,
                    "egfr_ml_min_1_73m2": 77,
                    "immunosuppression_at_biopsy": False,
                    "map_mm_hg": 97,
                    "mest_e": 0,
                    "mest_m": 1,
                    "mest_s": 1,
                    "mest_t": 0,
                    "proteinuria_g_day": 1.1,
                    "rasb_at_biopsy": True,
                },
            ],
        },
    )
    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
2 h ago	Timed out	-	-	-
7 h ago	Timed out	-	-	-
12 h ago	Passed	402	1.9 s	$0.007
16 h ago	Passed	402	438 ms	$0.007
21 h ago	Passed	402	263 ms	$0.007

Show 10 older checks

26 h ago	Passed	402	313 ms	$0.007
31 h ago	Passed	402	249 ms	$0.007
35 h ago	Passed	402	224 ms	$0.007
40 h ago	Passed	402	265 ms	$0.007
43 h ago	Passed	402	315 ms	$0.007
2 days ago	Passed	402	298 ms	$0.007
2 days ago	Passed	402	142 ms	$0.007
2 days ago	Passed	402	244 ms	$0.007
3 days ago	Passed	402	392 ms	$0.007
3 days ago	Passed	402	264 ms	$0.007

History

11 Oct 2026	Price changed from $0.005 to $0.007

Trust score 68/ 100

Availability (30-day uptime)		28 / 30
Valid x402 challenge		15 / 15
Response time		10 / 10
Real paying agents (30 days)		5 / 15
Charges what it lists		0 / 10
Security scan		10 / 10
Verified owner		0 / 10

How the score works

Payment terms

Price: $0.007 per call
Listed at: $0.005 (charges more)
Token: USDC
Networks: Base
Pays to: 0x836B…9Ee2

Real usage

Paying agents: 2 in 30 days
Paid calls: 5 in 30 days
Last paid call: 4 days ago

Source: x402 Bazaar settlement data.

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Trust score

[![ToolVet trust score](https://toolvet.app/badge/calc-igan-predict.svg)](https://toolvet.app/s/calc-igan-predict)