67trust / 100

Calc G8

by magent in Other

x402 APIFailing, checked 43 min ago

Bellera 2012 G8 geriatric screening tool: seven MNA items (A, B, C, E, F, H, P) plus age. Food intake 0–2, weight loss 0–3, mobility 0–2, neuropsychological 0–2, BMI 0–3, more than 3 medications 0 if true else 1, health vs peers 0/0.5/1/2, age 0–2. Total 0–17, higher is better. Score ≤14 is an impaired screen. Not a CGA, chemotherapy order, Soubeyran 2014 ONCODAGE, or VES-13. magent does not interview or weigh the patient.

POST

https://api.magentlab.com/api/calc/g8

Price: $0.007; per call in USDC
Uptime: 91.4%; last 30 days
Response time: 163 ms; 318 ms slowest 5%
Last check: Failed; 43 min ago, next in 17 min

Run a free test call How to call it

Reliability

All checks passedSome failedAll failedNot checked

Latest check failed 43 min ago: Timed out

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

How to call it

POST https://api.magentlab.com/api/calc/g8

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/g8
content-type: application/json

{
  "items": [
    {
      "age_band": "lt_80",
      "bmi": "ge_23",
      "food_intake": "no_decrease",
      "health_vs_peers": "better",
      "mobility": "goes_out",
      "more_than_3_medications": false,
      "neuropsychological": "none",
      "weight_loss": "none"
    },
    {
      "age_band": "lt_80",
      "bmi": "ge_23",
      "food_intake": "no_decrease",
      "health_vs_peers": "better",
      "mobility": "goes_out",
      "more_than_3_medications": false,
      "neuropsychological": "none",
      "weight_loss": "none"
    }
  ]
}

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, 154 lines

{
  "count": 2,
  "items": [
    {
      "age_band": "lt_80",
      "at_or_below_cutoff": false,
      "bmi": "ge_23",
      "citation": {
        "authors": "Bellera CA, Rainfray M, Mathoulin-Pélissier S, et al.",
        "doi": "10.1093/annonc/mdr587",
        "id": "bellera-2012",
        "pmid": "22250183",
        "source": "Ann Oncol. 2012;23(8):2166-2172",
        "title": "Screening older cancer patients: first evaluation of the G-8 geriatric screening tool"
      },
      "components": [
        {
          "factor": "food_intake",
          "points": 2,
          "present": true,
          "value": "no_decrease"
        },
        {
          "factor": "weight_loss",
          "points": 3,
          "present": true,
          "value": "none"
        },
        {
          "factor": "mobility",
          "points": 2,
          "present": true,
          "value": "goes_out"
        },
        {
          "factor": "neuropsychological",
          "points": 2,
          "present": true,
          "value": "none"
        },
        {
          "factor": "bmi",
          "points": 3,
          "present": true,
          "value": "ge_23"
        },
        {
          "factor": "more_than_3_medications",
          "points": 1,
          "present": true,
          "value": false
        },
        {
          "factor": "health_vs_peers",
          "points": 2,
          "present": true,
          "value": "better"
        },
        {
          "factor": "age_band",
          "points": 2,
          "present": true,
          "value": "lt_80"
        }
      ],
      "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.",
      "food_intake": "no_decrease",
      "formula": "g8",
      "formula_expression": "G8 (Bellera 2012) = food_intake (severe_decrease 0, moderate_decrease 1, no_decrease 2) + weight_loss (gt_3kg 0, unknown 1, 1_to_3kg 2, none 3) + mobility (bed_or_chair 0, bed_chair_no_out 1, goes_out 2) + neuropsychological (severe 0, mild 1, none 2) + bmi (lt_19 0, 19_to_lt_21 1, 21_to_lt_23 2, ge_23 3) + more_than_3_medications (true 0, false 1) + health_vs_peers (not_as_good 0, unknown 0.5, as_good 1, better 2) + age_band (gt_85 0, 80_to_85 1, lt_80 2); seven MNA items A,B,C,E,F,H,P plus age; max 17; higher is better; <=14 impaired screen; half-point on health unknown; not Soubeyran 2014 ONCODAGE; not VES-13",
      "health_vs_peers": "better",
      "max_score": 17,
      "mobility": "goes_out",
      "more_than_3_medications": false,
      "neuropsychological": "none",
      "score": 17,
      "weight_loss": "none"
    },
    {
      "age_band": "lt_80",
      "at_or_below_cutoff": false,
      "bmi": "ge_23",
      "citation": {
        "authors": "Bellera CA, Rainfray M, Mathoulin-Pélissier S, et al.",
        "doi": "10.1093/annonc/mdr587",
        "id": "bellera-2012",
        "pmid": "22250183",
        "source": "Ann Oncol. 2012;23(8):2166-2172",
        "title": "Screening older cancer patients: first evaluation of the G-8 geriatric screening tool"
      },
      "components": [
        {
          "factor": "food_intake",
          "points": 2,
          "present": true,
          "value": "no_decrease"
        },
        {
          "factor": "weight_loss",
          "points": 3,
          "present": true,
          "value": "none"
        },
        {
          "factor": "mobility",
          "points": 2,
          "present": true,
          "value": "goes_out"
        },
        {
          "factor": "neuropsychological",
          "points": 2,
          "present": true,
          "value": "none"
        },
        {
          "factor": "bmi",
          "points": 3,
          "present": true,
          "value": "ge_23"
        },
        {
          "factor": "more_than_3_medications",
          "points": 1,
          "present": true,
          "value": false
        },
        {
          "factor": "health_vs_peers",
          "points": 2,
          "present": true,
          "value": "better"
        },
        {
          "factor": "age_band",
          "points": 2,
          "present": true,
          "value": "lt_80"
        }
      ],
      "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.",
      "food_intake": "no_decrease",
      "formula": "g8",
      "formula_expression": "G8 (Bellera 2012) = food_intake (severe_decrease 0, moderate_decrease 1, no_decrease 2) + weight_loss (gt_3kg 0, unknown 1, 1_to_3kg 2, none 3) + mobility (bed_or_chair 0, bed_chair_no_out 1, goes_out 2) + neuropsychological (severe 0, mild 1, none 2) + bmi (lt_19 0, 19_to_lt_21 1, 21_to_lt_23 2, ge_23 3) + more_than_3_medications (true 0, false 1) + health_vs_peers (not_as_good 0, unknown 0.5, as_good 1, better 2) + age_band (gt_85 0, 80_to_85 1, lt_80 2); seven MNA items A,B,C,E,F,H,P plus age; max 17; higher is better; <=14 impaired screen; half-point on health unknown; not Soubeyran 2014 ONCODAGE; not VES-13",
      "health_vs_peers": "better",
      "max_score": 17,
      "mobility": "goes_out",
      "more_than_3_medications": false,
      "neuropsychological": "none",
      "score": 17,
      "weight_loss": "none"
    }
  ],
  "path": "/api/calc/g8"
}

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/g8' \
  -H 'content-type: application/json' \
  --data-raw '{"items":[{"age_band":"lt_80","bmi":"ge_23","food_intake":"no_decrease","health_vs_peers":"better","mobility":"goes_out","more_than_3_medications":false,"neuropsychological":"none","weight_loss":"none"},{"age_band":"lt_80","bmi":"ge_23","food_intake":"no_decrease","health_vs_peers":"better","mobility":"goes_out","more_than_3_medications":false,"neuropsychological":"none","weight_loss":"none"}]}'

# 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/g8' \
  -H 'content-type: application/json' \
  --data-raw '{"items":[{"age_band":"lt_80","bmi":"ge_23","food_intake":"no_decrease","health_vs_peers":"better","mobility":"goes_out","more_than_3_medications":false,"neuropsychological":"none","weight_loss":"none"},{"age_band":"lt_80","bmi":"ge_23","food_intake":"no_decrease","health_vs_peers":"better","mobility":"goes_out","more_than_3_medications":false,"neuropsychological":"none","weight_loss":"none"}]}' \
  | 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%2Fg8&method=POST
const res = await pay("https://api.magentlab.com/api/calc/g8", {
  method: "POST",
  headers: { "content-type": "application/json" },
  body: JSON.stringify({
    "items": [
      {
        "age_band": "lt_80",
        "bmi": "ge_23",
        "food_intake": "no_decrease",
        "health_vs_peers": "better",
        "mobility": "goes_out",
        "more_than_3_medications": false,
        "neuropsychological": "none",
        "weight_loss": "none"
      },
      {
        "age_band": "lt_80",
        "bmi": "ge_23",
        "food_intake": "no_decrease",
        "health_vs_peers": "better",
        "mobility": "goes_out",
        "more_than_3_medications": false,
        "neuropsychological": "none",
        "weight_loss": "none"
      }
    ]
  }),
});
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/g8",
        json={
            "items": [
                {
                    "age_band": "lt_80",
                    "bmi": "ge_23",
                    "food_intake": "no_decrease",
                    "health_vs_peers": "better",
                    "mobility": "goes_out",
                    "more_than_3_medications": False,
                    "neuropsychological": "none",
                    "weight_loss": "none",
                },
                {
                    "age_band": "lt_80",
                    "bmi": "ge_23",
                    "food_intake": "no_decrease",
                    "health_vs_peers": "better",
                    "mobility": "goes_out",
                    "more_than_3_medications": False,
                    "neuropsychological": "none",
                    "weight_loss": "none",
                },
            ],
        },
    )
    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
43 min ago	Timed out	-	-	-
6 h ago	Timed out	-	-	-
10 h ago	Timed out	-	-	-
15 h ago	Passed	402	160 ms	$0.007
20 h ago	Passed	402	303 ms	$0.007

Show 10 older checks

25 h ago	Passed	402	144 ms	$0.007
30 h ago	Passed	402	281 ms	$0.007
34 h ago	Passed	402	178 ms	$0.007
39 h ago	Passed	402	163 ms	$0.007
43 h ago	Passed	402	164 ms	$0.007
47 h ago	Passed	402	200 ms	$0.007
2 days ago	Passed	402	149 ms	$0.007
2 days ago	Passed	402	147 ms	$0.007
3 days ago	Passed	402	280 ms	$0.007
3 days ago	Passed	402	159 ms	$0.007

History

11 Oct 2026	Price changed from $0.005 to $0.007

Trust score 67/ 100

Availability (30-day uptime)		27 / 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: 5 days ago

Source: x402 Bazaar settlement data.

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Trust score

[![ToolVet trust score](https://toolvet.app/badge/calc-g8.svg)](https://toolvet.app/s/calc-g8)