Calc Impact

{
  "age": 35,
  "citation": {
    "authors": "Steyerberg EW, Mushkudiani N, Perel P, Butcher I, Lu J, McHugh GS, Murray GD, Marmarou A, Roberts I, Habbema JDF, Maas AIR",
    "doi": "10.1371/journal.pmed.0050165",
    "id": "steyerberg-2008-impact",
    "pmid": "18640954",
    "source": "PLoS Med. 2008;5(8):e165",
    "title": "Predicting outcome after traumatic brain injury: development and international validation of prognostic scores based on admission characteristics"
  },
  "components": [
    {
      "factor": "age",
      "points": 1,
      "present": true,
      "value": 35
    },
    {
      "factor": "motor_score",
      "points": 4,
      "present": true,
      "value": 3
    },
    {
      "factor": "pupillary_reactivity",
      "points": 0,
      "present": false,
      "value": "both"
    }
  ],
  "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": "impact",
  "formula_expression": "IMPACT (Steyerberg 2008 Fig 1): core = age(<=30:0, 31-39:1, 40-49:2, 50-59:3, 60-69:4, >=70:5) + motor(1-2:6, 3:4, 4:2, 5-6:0, 9:3) + pupils(both:0, one:2, none:4); extended = core + hypoxia(yes/suspected:1) + hypotension(yes/suspected:2) + marshall(I:-2, II:0, III-VI:2) + tSAH(yes:2) + EDH(yes:-2); lab = extended + glucose_mmol_l(<6:0, 6-8.9:1, 9-11.9:2, 12-14.9:3, >=15:4) + hb_g_dl(<9:3, 9-11.9:2, 12-14.9:1, >=15:0); p = 1/(1+e^(-LP)); LPcore mort=-2.55+0.275*sum; LPcore unfav=-1.62+0.299*sum; LPext mort=-2.98+0.256*sum; LPext unfav=-2.10+0.276*sum; LPlab mort=-3.42+0.216*sum; LPlab unfav=-2.82+0.257*sum; 6-month percent 1 decimal; not MRC CRASH",
  "linear_predictor_mortality": -1.175,
  "linear_predictor_unfavorable": -0.125,
  "max_score": 15,
  "model": "core",
  "mortality_6_month_percent": 23.6,
  "motor_score": 3,
  "pupillary_reactivity": "both",
  "score": 5,
  "sum_core": 5,
  "unfavorable_6_month_percent": 46.9
}

# bash or zsh: see the payment challenge. Nothing is charged.
curl -sS -g -i 'https://api.magentlab.com/api/calc/impact?age=35&edh=false&glucose_mmol_l=10&hemoglobin_g_dl=11&hypotension=false&hypoxia=false&marshall_ct=II&model=core&motor_score=3&pupillary_reactivity=both&tsah=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 - 'https://api.magentlab.com/api/calc/impact?age=35&edh=false&glucose_mmol_l=10&hemoglobin_g_dl=11&hypotension=false&hypoxia=false&marshall_ct=II&model=core&motor_score=3&pupillary_reactivity=both&tsah=false' \
  | grep -i '^payment-required:' | cut -d' ' -f2 | tr -d '\r' | base64 --decode

// 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%2Fimpact
const res = await pay("https://api.magentlab.com/api/calc/impact?age=35&edh=false&glucose_mmol_l=10&hemoglobin_g_dl=11&hypotension=false&hypoxia=false&marshall_ct=II&model=core&motor_score=3&pupillary_reactivity=both&tsah=false");
console.log(res.status, await res.text());

# 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/impact?age=35&edh=false&glucose_mmol_l=10&hemoglobin_g_dl=11&hypotension=false&hypoxia=false&marshall_ct=II&model=core&motor_score=3&pupillary_reactivity=both&tsah=false")
    print(res.status_code, res.text)