ToolVet
75trust / 100

Calc Ohts

by magent in AI models & inference

x402 APIPassing, checked 5 h ago

OHTS-EGPS 2007 Table 6: 5-year primary open-angle glaucoma risk in untreated ocular hypertension from age, mean IOP (mm Hg), mean central corneal thickness (microns), mean vertical cup-disc ratio, and mean Humphrey pattern standard deviation (dB). Point bands map to 4%, 10%, 15%, 20%, or 33%. No race (dropped in the multivariate model). No diabetes term. Not a glaucoma diagnosis or drop order. magent does not measure IOP or pachymetry.

GET
https://api.magentlab.com/api/calc/ohts
Price
$0.005
per call in USDC
Uptime
100%
last 30 days
Response time
237 ms
2.4 s slowest 5%
Last check
Passed
5 h ago, next in 35 min

Run a free test callHow to call it

Reliability

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

How to call it

GET https://api.magentlab.com/api/calc/ohts

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/ohts?age=55&cct_microns=540&iop_mm_hg=24&psd_db=2.2&vertical_cd_ratio=0.4

Parameters

ParameterTypeRequiredDescription
ageintegerYesAge in years (integer 30-80). OHTS enrolled 40-80; EGPS enrolled age >30. magent accepts 30-80 only. Table 6: <45=0, 45 to <55=1, 55 to <65=2, 65 to <75=3, >=75=4.
cct_micronsnumberYesMean central corneal thickness in microns (475-650), average of the two eyes. Table 6: >=600=0, 576 to <600=1, 551 to <576=2, 526 to <551=3, <=525=4. magent does not perform pachymetry.
iop_mm_hgnumberYesMean untreated intraocular pressure in mm Hg (20-32), average of the two eyes after multiple Goldmann readings as in the paper. Table 6: <22=0, 22 to <24=1, 24 to <26=2, 26 to <28=3, >=28=4. magent does not measure IOP.
psd_dbnumberYesMean Humphrey pattern standard deviation in dB (0.5-8), average of the two eyes. Table 6: <1.8=0, 1.8 to <2.0=1, 2 to <2.4=2, 2.4 to <2.8=3, >=2.8=4. magent does not run perimetry.
vertical_cd_rationumberYesMean vertical cup-disc ratio by contour (0-1), average of the two eyes. Table 6: <0.3=0, 0.3 to <0.4=1, 0.4 to <0.5=2, 0.5 to <0.6=3, >=0.6=4. magent does not grade the disc.

Example response

The provider's example. We can't check it without paying.

{
  "age": 55,
  "cct_microns": 540,
  "citation": {
    "authors": "Ocular Hypertension Treatment Study Group; European Glaucoma Prevention Study Group; Gordon MO, Torri V, Miglior S, Beiser JA, Floriani I, Miller JP, Gao F, Adamsons I, Poli D, D'Agostino RB, Kass MA",
    "doi": "10.1016/j.ophtha.2006.08.031",
    "id": "ohts-egps-2007",
    "pmid": "17070597",
    "source": "Ophthalmology. 2007;114(1):10-19",
    "title": "A validated prediction model for the development of primary open-angle glaucoma in individuals with ocular hypertension"
  },
  "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": "ohts",
  "formula_expression": "OHTS-EGPS 2007 Table 6 points: age <45=0, 45 to <55=1, 55 to <65=2, 65 to <75=3, >=75=4; mean IOP mm Hg <22=0, 22 to <24=1, 24 to <26=2, 26 to <28=3, >=28=4; mean CCT microns >=600=0, 576 to <600=1, 551 to <576=2, 526 to <551=3, <=525=4; mean vertical cup-disc ratio <0.3=0, 0.3 to <0.4=1, 0.4 to <0.5=2, 0.5 to <0.6=3, >=0.6=4; mean Humphrey PSD dB <1.8=0, 1.8 to <2.0=1, 2 to <2.4=2, 2.4 to <2.8=3, >=2.8=4; sum 0-6 -> 4.0% (<=4.0%), 7-8 -> 10%, 9-10 -> 15%, 11-12 -> 20%, >12 -> 33% (>=33%); no race; no diabetes; not a glaucoma diagnosis",
  "iop_mm_hg": 24,
  "points": 11,
  "psd_db": 2.2,
  "risk_5y_percent": 20,
  "vertical_cd_ratio": 0.4
}

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/ohts?age=55&cct_microns=540&iop_mm_hg=24&psd_db=2.2&vertical_cd_ratio=0.4'

# 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/ohts?age=55&cct_microns=540&iop_mm_hg=24&psd_db=2.2&vertical_cd_ratio=0.4' \
  | 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 $0.005 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%2Fohts
const res = await pay("https://api.magentlab.com/api/calc/ohts?age=55&cct_microns=540&iop_mm_hg=24&psd_db=2.2&vertical_cd_ratio=0.4");
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/ohts?age=55&cct_microns=540&iop_mm_hg=24&psd_db=2.2&vertical_cd_ratio=0.4")
    print(res.status_code, res.text)

Security scan

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Recent checks

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