Bello-Chavolla 2018 METS-IR: ln(2×glucose_mg_dl + triglycerides_mg_dl)×BMI / ln(HDL_mg_…
Bello-Chavolla 2018 METS-IR: ln(2×glucose_mg_dl + triglycerides_mg_dl)×BMI / ln(HDL_mg_dl), natural log, two decimals. Supply glucose, triglycerides, and HDL each as exactly one of mg/dL or mmol/L (glucose ×18, TG ×88.57, HDL ×38.67). BMI is caller-supplied (…
by api.magentlab.com · discovered, not yet claimed by its owner · updated 2026-10-12
Mirrored from Coinbase's public x402 Bazaar. The description is the provider's own text and has not been reviewed here; the payment requirements are copied as published.
What it does
Bello-Chavolla 2018 METS-IR: ln(2×glucose_mg_dl + triglycerides_mg_dl)×BMI / ln(HDL_mg_dl), natural log, two decimals. Supply glucose, triglycerides, and HDL each as exactly one of mg/dL or mmol/L (glucose ×18, TG ×88.57, HDL ×38.67). BMI is caller-supplied (10–80). highest_quartile_t2d is true only when METS-IR > 50.39 (derivation highest T2D-risk quartile). Not a diabetes diagnosis, not HOMA-IR/HOMA2, and not a treatment threshold.
Tags: mets-ir · insulin-sensitivity · triglycerides · glucose · calculator · bazaar
Call contract
- Method
- POST
- Input
- HTTP request
- Output
- json
- Last paid call
- 2026-10-12
{
"items": [
{
"bmi_kg_m2": 25,
"glucose_mg_dl": 90,
"glucose_mmol_l": 5,
"hdl_mg_dl": 50,
"hdl_mmol_l": 1.29,
"triglycerides_mg_dl": 100,
"triglycerides_mmol_l": 1.13
},
{
"bmi_kg_m2": 25,
"glucose_mg_dl": 90,
"glucose_mmol_l": 5,
"hdl_mg_dl": 50,
"hdl_mmol_l": 1.29,
"triglycerides_mg_dl": 100,
"triglycerides_mmol_l": 1.13
}
]
}{
"count": 2,
"items": [
{
"bmi_kg_m2": 25,
"citation": {
"authors": "Bello-Chavolla OY, Almeda-Valdes P, Gomez-Velasco D, Viveros-Ruiz T, Cruz-Bautista I, Romo-Romo A, Sánchez-Lázaro D, Meza-Oviedo D, Vargas-Vázquez A, Campos OA, Sevilla-González MDR, Martagón AJ, Hernández LM, Mehta R, Caballeros-Barragán CR, Aguilar-Salinas CA",
"doi": "10.1530/eje-17-0883",
"id": "bello-chavolla-2018",
"pmid": "29535168",
"source": "Eur J Endocrinol. 2018;178(5):533-544",
"title": "METS-IR, a novel score to evaluate insulin sensitivity, is predictive of visceral adiposity and incident type 2 diabetes"
},
"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": "mets_ir",
"formula_expression": "mets_ir = ln(2 * glucose_mg_dl + triglycerides_mg_dl) * bmi_kg_m2 / ln(hdl_mg_dl)",
"glucose_mg_dl": 90,
"hdl_mg_dl": 50,
"highest_quartile_t2d": false,
"mets_ir": 36.01,
"triglycerides_mg_dl": 100
},
{
"bmi_kg_m2": 25,
"citation": {
"authors": "Bello-Chavolla OY, Almeda-Valdes P, Gomez-Velasco D, Viveros-Ruiz T, Cruz-Bautista I, Romo-Romo A, Sánchez-Lázaro D, Meza-Oviedo D, Vargas-Vázquez A, Campos OA, Sevilla-González MDR, Martagón AJ, Hernández LM, Mehta R, Caballeros-Barragán CR, Aguilar-Salinas CA",
"doi": "10.1530/eje-17-0883",
"id": "bello-chavolla-2018",
"pmid": "29535168",
"source": "Eur J Endocrinol. 2018;178(5):533-544",
"title": "METS-IR, a novel score to evaluate insulin sensitivity, is predictive of visceral adiposity and incident type 2 diabetes"
},
"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": "mets_ir",
"formula_expression": "mets_ir = ln(2 * glucose_mg_dl + triglycerides_mg_dl) * bmi_kg_m2 / ln(hdl_mg_dl)",
"glucose_mg_dl": 90,
"hdl_mg_dl": 50,
"highest_quartile_t2d": false,
"mets_ir": 36.01,
"triglycerides_mg_dl": 100
}
],
"path": "/api/calc/mets_ir"
}Use with an agent
- Discover. Agents find this listing with
GET https://bazaar.saylorinnovations.com/discovery/search?query=…, the MCP toolsearch_resources, or/discovery/resources. - Inspect. Fetch
/resources/39554.jsonfor the price and payment options. - Pay. Call
GET https://api.magentlab.com/api/calc/mets_ir. The provider answers402with its payment requirements. An x402 client signs one of the options below and retries withPAYMENT-SIGNATURE. - Execute. The provider returns
200with the data. Agent Bazaar is not in the request path and never sees your payment.
For humans
You don't need an account or an API key; you need a wallet holding a small amount of USDC on Base, and an x402-capable client (see the examples below). Call the endpoint unpaid first to see exactly what it asks for.
Pricing & payment
- Price
- $0.005 / request
- Protocol
- x402 v2
- Auth
- No account or API key. Pay per request.
- Networks
- Base
- Demand
- 3 calls · 1 unique payers in 30d (public x402 Bazaar data)
x402 payment requirements
| Scheme | Network | Asset | Amount | Pay to | Timeout |
|---|---|---|---|---|---|
| exact | Base eip155:8453 | USDC | $0.005 | 0x836Be278f1739fB4308091cD1852F7971Bc19Ee2 | 600s |
accepts[] (raw JSON)
[
{
"scheme": "exact",
"network": "eip155:8453",
"payTo": "0x836Be278f1739fB4308091cD1852F7971Bc19Ee2",
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"amount": "5000",
"amountUsd": 0.005,
"maxTimeoutSeconds": 600
}
]Schemas
Output schema (JSON Schema)
{
"properties": {
"example": {
"type": "object"
},
"type": {
"type": "string"
}
},
"required": [
"type"
],
"type": "object"
}Example shape — generated from the schema, not a captured live response
{
"example": {},
"type": "string"
}Examples
curl "https://api.magentlab.com/api/calc/mets_ir"
# -> 402 Payment Required, accepts[] lists how to pay
# retry with a PAYMENT-SIGNATURE (or PAYMENT header) once paidconst res = await fetch("https://api.magentlab.com/api/calc/mets_ir");
if (res.status === 402) {
const { accepts } = await res.json();
// pay one of accepts[] via an x402 client, then retry with the payment header
}import httpx
res = httpx.get("https://api.magentlab.com/api/calc/mets_ir")
if res.status_code == 402:
accepts = res.json()["accepts"]
# pay one of accepts[] via an x402 client, then retry with the payment headerDetails
- Provider
- api.magentlab.com
- Endpoint
- https://api.magentlab.com/api/calc/mets_ir
- Machine-readable
/resources/39554.json