Calc Epiphany
by magent in Other
Carmona-Bayonas 2017 EPIPHANY CHAID tree for cancer-associated PE. Hestia-like CDR any vs none, then ECOG-PS, SaO2, PE symptoms, tumour response, and primary resection as in Figure 2. Returns low, intermediate, or high with 15-day complication rates 1.6/9.4/30.6% and mortality 0.3/6.1/17.1%. Caller assigns the six covariates. Not a diagnosis or anticoagulation order. magent does not examine the patient.
https://api.magentlab.com/api/calc/epiphany- Price
- $0.007
- per call in USDC
- Uptime
- 91.4%
- last 30 days
- Response time
- 163 ms
- 549 ms slowest 5%
- Last check
- Failed
- 4 h ago, next any minute now
Reliability
Latest check failed 4 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/epiphany
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/epiphany
content-type: application/json
{
"items": [
{
"ecog_ps_ge_2": false,
"hestia_like_any": false,
"oxygen_sat_lt_90": false,
"pe_specific_symptoms": false,
"primary_tumour_resected": true,
"tumour_uncontrolled": false
},
{
"ecog_ps_ge_2": false,
"hestia_like_any": false,
"oxygen_sat_lt_90": false,
"pe_specific_symptoms": false,
"primary_tumour_resected": true,
"tumour_uncontrolled": false
}
]
}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, 104 lines
{
"count": 2,
"items": [
{
"citation": {
"authors": "Carmona-Bayonas A, Jiménez-Fonseca P, Font C, Fenoy F, Otero R, Beato C, Plasencia JM, Biosca M, Sánchez M, Benegas M, Calvo-Temprano D, Varona D, Faez L, de la Haba I, Antonio M, Madridano O, Solis MP, Ramchandani A, Castañón E, Marchena PJ, Martín M, Ayala de la Peña F, Vicente V; Asociación de Investigación de la Enfermedad Tromboembólica de la Región de Murcia",
"doi": "10.1038/bjc.2017.48",
"id": "carmona-bayonas-2017",
"pmid": "28267709",
"source": "Br J Cancer. 2017;116:994-1001",
"title": "Predicting serious complications in patients with cancer and pulmonary embolism using decision tree modelling: the EPIPHANY Index"
},
"criteria": [
{
"factor": "hestia_like_any",
"met": false
},
{
"factor": "ecog_ps_ge_2",
"met": false
},
{
"factor": "oxygen_sat_lt_90",
"met": false
},
{
"factor": "pe_specific_symptoms",
"met": false
},
{
"factor": "tumour_uncontrolled",
"met": false
},
{
"factor": "primary_tumour_resected",
"met": 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.",
"ecog_ps_ge_2": false,
"formula": "epiphany",
"formula_expression": "root: hestia-like CDR any vs none (Carmona-Bayonas 2017 Figure 2). CDR any: ECOG-PS >=2 then SaO2 <90 vs >=90 (both high), else PE-specific symptoms yes (high) vs no (intermediate). CDR none: tumour progression/unknown/not evaluated vs others (CR/PR/SD/NED); if uncontrolled then primary tumour resection yes (low) vs no (intermediate); if others then low. Classes low/intermediate/high with 15-day serious complications 1.6/9.4/30.6% and 15-day mortality 0.3/6.1/17.1%",
"hestia_like_any": false,
"leaf": "low_controlled",
"mortality_15d_percent": 0.3,
"oxygen_sat_lt_90": false,
"pe_specific_symptoms": false,
"primary_tumour_resected": true,
"risk_class": "low",
"serious_complication_15d_percent": 1.6,
"tumour_uncontrolled": false
},
{
"citation": {
"authors": "Carmona-Bayonas A, Jiménez-Fonseca P, Font C, Fenoy F, Otero R, Beato C, Plasencia JM, Biosca M, Sánchez M, Benegas M, Calvo-Temprano D, Varona D, Faez L, de la Haba I, Antonio M, Madridano O, Solis MP, Ramchandani A, Castañón E, Marchena PJ, Martín M, Ayala de la Peña F, Vicente V; Asociación de Investigación de la Enfermedad Tromboembólica de la Región de Murcia",
"doi": "10.1038/bjc.2017.48",
"id": "carmona-bayonas-2017",
"pmid": "28267709",
"source": "Br J Cancer. 2017;116:994-1001",
"title": "Predicting serious complications in patients with cancer and pulmonary embolism using decision tree modelling: the EPIPHANY Index"
},
"criteria": [
{
"factor": "hestia_like_any",
"met": false
},
{
"factor": "ecog_ps_ge_2",
"met": false
},
{
"factor": "oxygen_sat_lt_90",
"met": false
},
{
"factor": "pe_specific_symptoms",
"met": false
},
{
"factor": "tumour_uncontrolled",
"met": false
},
{
"factor": "primary_tumour_resected",
"met": 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.",
"ecog_ps_ge_2": false,
"formula": "epiphany",
"formula_expression": "root: hestia-like CDR any vs none (Carmona-Bayonas 2017 Figure 2). CDR any: ECOG-PS >=2 then SaO2 <90 vs >=90 (both high), else PE-specific symptoms yes (high) vs no (intermediate). CDR none: tumour progression/unknown/not evaluated vs others (CR/PR/SD/NED); if uncontrolled then primary tumour resection yes (low) vs no (intermediate); if others then low. Classes low/intermediate/high with 15-day serious complications 1.6/9.4/30.6% and 15-day mortality 0.3/6.1/17.1%",
"hestia_like_any": false,
"leaf": "low_controlled",
"mortality_15d_percent": 0.3,
"oxygen_sat_lt_90": false,
"pe_specific_symptoms": false,
"primary_tumour_resected": true,
"risk_class": "low",
"serious_complication_15d_percent": 1.6,
"tumour_uncontrolled": false
}
],
"path": "/api/calc/epiphany"
}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/epiphany' \
-H 'content-type: application/json' \
--data-raw '{"items":[{"ecog_ps_ge_2":false,"hestia_like_any":false,"oxygen_sat_lt_90":false,"pe_specific_symptoms":false,"primary_tumour_resected":true,"tumour_uncontrolled":false},{"ecog_ps_ge_2":false,"hestia_like_any":false,"oxygen_sat_lt_90":false,"pe_specific_symptoms":false,"primary_tumour_resected":true,"tumour_uncontrolled":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 - -X POST 'https://api.magentlab.com/api/calc/epiphany' \
-H 'content-type: application/json' \
--data-raw '{"items":[{"ecog_ps_ge_2":false,"hestia_like_any":false,"oxygen_sat_lt_90":false,"pe_specific_symptoms":false,"primary_tumour_resected":true,"tumour_uncontrolled":false},{"ecog_ps_ge_2":false,"hestia_like_any":false,"oxygen_sat_lt_90":false,"pe_specific_symptoms":false,"primary_tumour_resected":true,"tumour_uncontrolled":false}]}' \
| 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 $0.007 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%2Fepiphany&method=POST
const res = await pay("https://api.magentlab.com/api/calc/epiphany", {
method: "POST",
headers: { "content-type": "application/json" },
body: JSON.stringify({
"items": [
{
"ecog_ps_ge_2": false,
"hestia_like_any": false,
"oxygen_sat_lt_90": false,
"pe_specific_symptoms": false,
"primary_tumour_resected": true,
"tumour_uncontrolled": false
},
{
"ecog_ps_ge_2": false,
"hestia_like_any": false,
"oxygen_sat_lt_90": false,
"pe_specific_symptoms": false,
"primary_tumour_resected": true,
"tumour_uncontrolled": false
}
]
}),
});
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/epiphany",
json={
"items": [
{
"ecog_ps_ge_2": False,
"hestia_like_any": False,
"oxygen_sat_lt_90": False,
"pe_specific_symptoms": False,
"primary_tumour_resected": True,
"tumour_uncontrolled": False,
},
{
"ecog_ps_ge_2": False,
"hestia_like_any": False,
"oxygen_sat_lt_90": False,
"pe_specific_symptoms": False,
"primary_tumour_resected": True,
"tumour_uncontrolled": False,
},
],
},
)
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 |
|---|---|---|---|---|
| 4 h ago | Timed out | - | - | - |
| 8 h ago | Timed out | - | - | - |
| 13 h ago | Timed out | - | - | - |
| 18 h ago | Passed | 402 | 159 ms | $0.007 |
| 23 h ago | Passed | 402 | 148 ms | $0.007 |
Show 10 older checks
| 27 h ago | Passed | 402 | 146 ms | $0.007 |
| 32 h ago | Passed | 402 | 147 ms | $0.007 |
| 37 h ago | Passed | 402 | 319 ms | $0.007 |
| 41 h ago | Passed | 402 | 158 ms | $0.007 |
| 46 h ago | Passed | 402 | 141 ms | $0.007 |
| 2 days ago | Passed | 402 | 188 ms | $0.007 |
| 2 days ago | Passed | 402 | 216 ms | $0.007 |
| 2 days ago | Passed | 402 | 146 ms | $0.007 |
| 3 days ago | Passed | 402 | 153 ms | $0.007 |
| 3 days ago | Passed | 402 | 443 ms | $0.007 |
History
| 11 Oct 2026 | Price changed from $0.005 to $0.007 |