MAGENT

Electrolytes / glucose · LIVE

METS-IR (Bello-Chavolla 2018)

METS-IR

Compute the Bello-Chavolla 2018 METS-IR score from fasting glucose, triglycerides, caller-supplied BMI, and HDL as a marker of insulin sensitivity associated with visceral adiposity and incident type 2 diabetes.

LIVE $0.005 USDC GET /api/calc/mets_ir

Markdown: /docs/mets-ir.md · Canonical: https://magentlab.com/docs/mets-ir

Not a medical device. Not a diagnosis, dose, or listing recommendation.

What it computes

Compute the Bello-Chavolla 2018 METS-IR score from fasting glucose, triglycerides, caller-supplied BMI, and HDL as a marker of insulin sensitivity associated with visceral adiposity and incident type 2 diabetes.

When to use

When an agent needs published Bello-Chavolla 2018 METS-IR arithmetic and must not invent HOMA-IR, HOMA2, or a diabetes diagnosis.

When not to use

  • Not a medical device. Not a diabetes diagnosis and not a treatment threshold.
  • Bello-Chavolla 2018 METS-IR only. Not HOMA-IR, not HOMA2, and not an insulin-resistance cutoff beyond the published derivation highest T2D-risk quartile (mets_ir > 50.39).
  • BMI is caller-supplied. magent does not compute BMI from height and weight in this tool.
  • Glucose, triglycerides, and HDL must each be exactly one of the mg/dL or mmol/L keys, not mixed within an analyte.

Formula

mets_ir = ln(2 * glucose_mg_dl + triglycerides_mg_dl) * bmi_kg_m2 / ln(hdl_mg_dl)

Citation

Title
METS-IR, a novel score to evaluate insulin sensitivity, is predictive of visceral adiposity and incident type 2 diabetes
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
Source
Eur J Endocrinol. 2018;178(5):533-544
DOI
10.1530/eje-17-0883

Worked example

Glucose 90 mg/dL, triglycerides 100 mg/dL, BMI 25, HDL 50 mg/dL

Given: bmi_kg_m2=25glucose_mg_dl=90hdl_mg_dl=50triglycerides_mg_dl=100

  1. ln(2 * 90 + 100) = ln(280) ≈ 5.634789603
  2. ln(50) ≈ 3.912023005
  3. mets_ir = 5.634789603 * 25 / 3.912023005 = 36.01
  4. 36.01 is not > 50.39 → highest_quartile_t2d false

Also searched as

  • METS-IR
  • metabolic score for insulin resistance
  • Bello-Chavolla METS-IR
  • insulin sensitivity METS-IR
  • visceral adiposity METS-IR
  • incident type 2 diabetes METS-IR
  • METS IR score

Try

Opens the live endpoint. Unpaid browser requests show the paywall; agents should send Accept: application/json.

/api/calc/mets_ir?glucose_mg_dl=90&triglycerides_mg_dl=100&bmi_kg_m2=25&hdl_mg_dl=50

Full URL: https://api.magentlab.com/api/calc/mets_ir?glucose_mg_dl=90&triglycerides_mg_dl=100&bmi_kg_m2=25&hdl_mg_dl=50

Call

Expect HTTP 402 until you retry with PAYMENT-SIGNATURE. Incomplete query params return HTTP 400 before any quote or charge.

curl -i -H "Accept: application/json" "https://api.magentlab.com/api/calc/mets_ir?glucose_mg_dl=90&triglycerides_mg_dl=100&bmi_kg_m2=25&hdl_mg_dl=50"

Parameters

Name Type Required Description
glucose_mg_dl number optional Fasting plasma glucose in mg/dL (50-1000). Provide this or glucose_mmol_l, not both.
glucose_mmol_l number optional Fasting plasma glucose in mmol/L (2.8-55.5). Converted as mg/dL = mmol/L * 18. Provide this or glucose_mg_dl, not both.
triglycerides_mg_dl number optional Triglycerides in mg/dL (10-2000). Provide this or triglycerides_mmol_l, not both.
triglycerides_mmol_l number optional Triglycerides in mmol/L (0.11-22.6). Converted as mg/dL = mmol/L * 88.57. Provide this or triglycerides_mg_dl, not both.
hdl_mg_dl number optional HDL cholesterol in mg/dL (5-150). Provide this or hdl_mmol_l, not both. Used in the natural-log term.
hdl_mmol_l number optional HDL cholesterol in mmol/L (0.1-3.9). Converted as mg/dL = mmol/L * 38.67. Provide this or hdl_mg_dl, not both.
bmi_kg_m2 number required Body-mass index in kg/m^2 (10-80). Caller-supplied; magent does not compute BMI.

Bulk (POST)

POST the same path with a JSON items array. The first item is the GET unit; each additional item is $0.002. Invalid items return HTTP 400 before settlement.

POST /api/calc/mets_ir Max 25 unit_amount + extra_item_amount * (n - 1) extra $0.002 PREVIEW

  • 1 to 25 items. Each item uses the same keys as the GET query parameters.
  • POST of 1 item costs the same as GET. Lists longer than 25: chunk into multiple POSTs. Extra items still execute; do not pad dummy rows.
  • The first invalid item fails the whole request (index in the 400 JSON). You are not charged.
  • HTTP 200 is {count, path, items}. Each items[i] is the GET 200 body for that row.
  • Catalog misses (empty matches, found=false) stay paid 200s inside that slot.
  • x402 resource URL is this path plus n and body_sha256. Browsers that prefer text/html get the same paywall as GET; Pay retries POST with the same items.

Example request (fixture)

{
  "items": [
    {
      "bmi_kg_m2": "25",
      "glucose_mg_dl": "90",
      "hdl_mg_dl": "50",
      "triglycerides_mg_dl": "100"
    },
    {
      "bmi_kg_m2": "25",
      "glucose_mg_dl": "90",
      "hdl_mg_dl": "50",
      "triglycerides_mg_dl": "100"
    }
  ]
}

Open bulk paywall →

Opens a two-item fixture on the API host. Unpaid browsers get the same MetaMask paywall as GET; Pay retries POST with those items.

Example 200 (fixture)

{
  "count": 2,
  "path": "/api/calc/mets_ir",
  "items": [
    {
      "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.",
      "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"
      },
      "formula": "mets_ir",
      "formula_expression": "mets_ir = ln(2 * glucose_mg_dl + triglycerides_mg_dl) * bmi_kg_m2 / ln(hdl_mg_dl)",
      "bmi_kg_m2": 25.0,
      "glucose_mg_dl": 90.0,
      "triglycerides_mg_dl": 100.0,
      "hdl_mg_dl": 50.0,
      "highest_quartile_t2d": false,
      "mets_ir": 36.01
    },
    {
      "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.",
      "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"
      },
      "formula": "mets_ir",
      "formula_expression": "mets_ir = ln(2 * glucose_mg_dl + triglycerides_mg_dl) * bmi_kg_m2 / ln(hdl_mg_dl)",
      "bmi_kg_m2": 25.0,
      "glucose_mg_dl": 90.0,
      "triglycerides_mg_dl": 100.0,
      "hdl_mg_dl": 50.0,
      "highest_quartile_t2d": false,
      "mets_ir": 36.01
    }
  ]
}

Response

Field Type Description
formula string mets_ir
formula_expression string Exact Bello-Chavolla 2018 expression (natural log; lipids in mg/dL)
glucose_mg_dl number Glucose used in mg/dL (after mmol/L conversion when supplied)
triglycerides_mg_dl number Triglycerides used in mg/dL (after mmol/L conversion when supplied)
hdl_mg_dl number HDL cholesterol used in mg/dL (after mmol/L conversion when supplied)
bmi_kg_m2 number Caller-supplied BMI in kg/m^2
mets_ir number Bello-Chavolla 2018 METS-IR, 2 decimals
highest_quartile_t2d boolean True iff mets_ir > 50.39 (derivation highest T2D-risk quartile). Equality is not highest. Not a diagnosis.
citation object Bello-Chavolla Eur J Endocrinol 2018 citation
disclaimer string Not-a-device notice

Example JSON

Machine form of the same example. Frozen fixture. Not a live lookup.

{
  "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.",
  "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"
  },
  "formula": "mets_ir",
  "formula_expression": "mets_ir = ln(2 * glucose_mg_dl + triglycerides_mg_dl) * bmi_kg_m2 / ln(hdl_mg_dl)",
  "bmi_kg_m2": 25.0,
  "glucose_mg_dl": 90.0,
  "triglycerides_mg_dl": 100.0,
  "hdl_mg_dl": 50.0,
  "highest_quartile_t2d": false,
  "mets_ir": 36.01
}

Client errors (HTTP 400)

Invalid params return 400 without charge. Shared HTTP 402 and 503 meanings: Payments.

HTTP Code When
400 invalid_glucose glucose_mg_dl (50-1000) or glucose_mmol_l (2.8-55.5) is required Returned before settlement; you are not charged.
400 invalid_hdl hdl_mg_dl must be a number from 5 to 150, or hdl_mmol_l from 0.1 to 3.9, not both. Returned before settlement; you are not charged.
400 invalid_bmi_kg_m2 bmi_kg_m2 must be a number from 10 to 80. Returned before settlement; you are not charged.
400 invalid_mets_ir_triglyceride triglycerides_mg_dl must be 10-2000, or triglycerides_mmol_l 0.11-22.6, not both. Do not use the Friedewald 400 mg/dL cap. Returned before settlement; you are not charged.
400 invalid_items POST body must be a JSON object with only an items array Returned before settlement; you are not charged.
400 invalid_item_count items must be an array of 1 to 25 objects Returned before settlement; you are not charged.
400 invalid_item each items entry must be a JSON object Returned before settlement; you are not charged.

Related tools

  • HOMA-IR — Compute the Matthews 1985 HOMA-IR approximation from fasting plasma glucose and insulin.

Payment

Unpaid requests return HTTP 402 even if query parameters or POST items are missing or invalid, so CDP and agents can index the path. After a PAYMENT-SIGNATURE, invalid params return HTTP 400 JSON before settlement. magent does not charge. Fix the params, then request a new 402 quote for that complete URL. Catalog misses (empty matches, found=false) are valid paid 200s. Unpaid valid requests return HTTP 402 with a base64 PAYMENT-REQUIRED header. HTTP 503 is not a new quote: retry the same PAYMENT-SIGNATURE. Full handshake and shared payment errors: Payments. Stdio MCP: /docs/mcp.

Guarantees

  • HTTP 402 is unpaid, including a missing query. After PAYMENT-SIGNATURE, invalid parameters return HTTP 400 before settlement. You are not charged. HTTP 402 never includes the tool JSON.
  • exact: settlement finishes before the tool (paymentFlow upfront). batch-settlement: verify/deposit before the tool; chargedCumulativeAmount commits after HTTP 2xx. Uncertain or failed settlement fails closed (HTTP 503). Retry the same PAYMENT-SIGNATURE.
  • HTTP 402 is unpaid only. Do not sign a second authorization because of a 503.
  • Execution is timeout-bounded and concurrency-capped.
  • Calculator inputs are stored encrypted for allowlisted operators (Magent Console). They are not in public logs, SSH lookups, catalog, or rollups. Request logs store path without query.