Calc Lansky
by magent in Other
Lansky 1987 Play-Performance Scale: caller-assigned integer 0, 10, 20, 30, 40, 50, 60, 70, 80, 90, or 100 from parent-rated play over the past week (fully active; minor physical restriction; tires more quickly; restricted play; quieter activities; lying around, quiet play; mostly in bed; bedbound; often sleeping; no play; unresponsive). Grade 0 is scored. Returns score, max 100, and a stable label. Not a performance-status assignment, not Karnofsky, not ECOG; magent does not observe the child.
https://api.magentlab.com/api/calc/lansky- Price
- $0.005
- per call in USDC
- Uptime
- 100%
- last 30 days
- Response time
- 293 ms
- 385 ms slowest 5%
- Last check
- Passed
- 5 h ago, next in 44 min
Reliability
Status and outage history · Atom feed · Watch with other listings
How to call it
GET https://api.magentlab.com/api/calc/lansky
Each call costs $0.005 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.
GET https://api.magentlab.com/api/calc/lansky?lps=100Parameters
| Parameter | Type | Required | Description |
|---|---|---|---|
lps | integer | Yes | Lansky 1987 Play-Performance Scale 0, 10, 20, 30, 40, 50, 60, 70, 80, 90, or 100 as assigned by the caller from parent-rated play-performance over the past week (100 fully active, normal; 90 minor restrictions in physically strenuous activity; 80 active, but tires more quickly; 70 greater restricti… |
Example response
The provider's example. We can't check it without paying.
{
"citation": {
"authors": "Lansky SB, List MA, Lansky LL, Ritter-Sterr C, Miller DR",
"doi": "10.1002/1097-0142(19871001)60:7<1651::AID-CNCR2820600738>3.0.CO;2-J",
"id": "lansky-1987",
"pmid": "3621134",
"source": "Cancer. 1987;60(7):1651-1656",
"title": "The measurement of performance in childhood cancer patients"
},
"components": [
{
"factor": "lps",
"points": 100,
"present": true
}
],
"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": "lansky",
"formula_expression": "Lansky 1987 Play-Performance Scale = caller-assigned integer 0, 10, 20, 30, 40, 50, 60, 70, 80, 90, or 100 (Lansky 1987); max 100; grade 0 (unresponsive) is scored",
"lps": 100,
"lps_label": "fully_active",
"max_score": 100,
"score": 100
}Call it from code
The curl command shows the payment challenge. The JavaScript and Python versions pay and call, and never pay more than $0.005.
curl: see the payment challenge
# bash or zsh: see the payment challenge. Nothing is charged.
curl -sS -g -i 'https://api.magentlab.com/api/calc/lansky?lps=100'
# 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 - 'https://api.magentlab.com/api/calc/lansky?lps=100' \
| 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 $0.005 per call.
const client = new x402Client().setSpendControls({ maxAmountPerPayment: "$0.005" });
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 $0.005 per payment. GET https://toolvet.app/api/v1/check?url=https%3A%2F%2Fapi.magentlab.com%2Fapi%2Fcalc%2Flansky
const res = await pay("https://api.magentlab.com/api/calc/lansky?lps=100");
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 $0.005 per call.
client = x402ClientSync().set_spend_controls({"max_amount_per_payment": "$0.005"})
register_exact_evm_client(client, EthAccountSigner(Account.from_key(os.environ["EVM_PRIVATE_KEY"])))
with x402_requests(client) as session:
res = session.get("https://api.magentlab.com/api/calc/lansky?lps=100")
print(res.status_code, res.text)Security scan
No findings
We scan names, descriptions and tool definitions for hidden instructions and other prompt-injection patterns.
Recent checks
| When | Result | HTTP | Time | Price |
|---|---|---|---|---|
| 5 h ago | Passed | 402 | 344 ms | $0.005 |
| 15 h ago | Passed | 402 | 258 ms | $0.005 |
| 25 h ago | Passed | 402 | 385 ms | $0.005 |
| 35 h ago | Passed | 402 | 382 ms | $0.005 |
| 44 h ago | Passed | 402 | 231 ms | $0.005 |
Show 6 older checks
| 2 days ago | Passed | 402 | 347 ms | $0.005 |
| 3 days ago | Passed | 402 | 259 ms | $0.005 |
| 3 days ago | Passed | 402 | 293 ms | $0.005 |
| 3 days ago | Passed | 402 | 302 ms | $0.005 |
| 4 days ago | Passed | 402 | 138 ms | $0.005 |
| 4 days ago | Passed | 402 | 142 ms | $0.005 |