Agent Bazaarby Saylor Innovations
Menu
ExploreMCPx402InsightsPublishGuidesDocs Connect an Agent GitHub
MA
Agent Service · x402 · early usage

Goff 2013 ACC/AHA pooled-cohort 10-year hard ASCVD percent for age 40-79 from sex, call…

Goff 2013 ACC/AHA pooled-cohort 10-year hard ASCVD percent for age 40-79 from sex, caller-assigned white or african_american cohort, total and HDL cholesterol, treated or untreated systolic BP, smoking, and diabetes. Table A coefficients. Caller assigns cohor…

by api.magentlab.com · discovered, not yet claimed by its owner · updated 2026-10-12

30d calls5
30d payers2
MethodPOST
Outputjson

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

Goff 2013 ACC/AHA pooled-cohort 10-year hard ASCVD percent for age 40-79 from sex, caller-assigned white or african_american cohort, total and HDL cholesterol, treated or untreated systolic BP, smoking, and diabetes. Table A coefficients. Caller assigns cohort; magent does not assign race and does not apply Recommendation 2 as a silent swap. Not PREVENT 2024, not Framingham CHD, not SCORE2, not a diagnosis or statin order. magent does not assay lipids.

Tags: ascvd · pce-2013 · lipids · cvd-risk · calculator · bazaar

Call contract

Method
POST
Input
HTTP request
Output
json
Last paid call
2026-10-12
Input example from Bazaar metadata
{
  "items": [
    {
      "age": 55,
      "antihypertensive": false,
      "cohort": "white",
      "diabetes": false,
      "hdl_mg_dl": 50,
      "sbp_mm_hg": 120,
      "sex": "female",
      "smoker": false,
      "total_cholesterol_mg_dl": 213
    },
    {
      "age": 55,
      "antihypertensive": false,
      "cohort": "white",
      "diabetes": false,
      "hdl_mg_dl": 50,
      "sbp_mm_hg": 120,
      "sex": "female",
      "smoker": false,
      "total_cholesterol_mg_dl": 213
    }
  ]
}
Output example
{
  "count": 2,
  "items": [
    {
      "age": 55,
      "antihypertensive": false,
      "citation": {
        "authors": "Goff DC Jr, Lloyd-Jones DM, Bennett G, Coady S, D'Agostino RB, Gibbons R, Greenland P, Lackland DT, Levy D, O'Donnell CJ, Robinson JG, Schwartz JS, Shero ST, Smith SC Jr, Sorlie P, Stone NJ, Wilson PW",
        "doi": "10.1161/01.cir.0000437741.48606.98",
        "id": "goff-2013-pce",
        "pmid": "24222018",
        "source": "Circulation. 2014;129(25 Suppl 2):S49-S73",
        "title": "2013 ACC/AHA Guideline on the Assessment of Cardiovascular Risk: A Report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines"
      },
      "cohort": "white",
      "diabetes": false,
      "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": "ascvd_pce",
      "formula_expression": "10-year hard ASCVD % = 100*(1-S10**exp(individualSum-meanSum)); Goff 2013 Table A; Ln=natural log; age 40-79; cohort white|african_american (caller-assigned paper terms; not param race; Recommendation 2 is not a silent swap); treated vs untreated SBP (not both); interactions only where Table A is not N/A; WHITE WOMEN: ln_age -29.799, ln_age^2 4.884, ln_tc 13.540, ln_age*ln_tc -3.114, ln_hdl -13.578, ln_age*ln_hdl 3.149, ln_treated_sbp 2.019, ln_untreated_sbp 1.957, smoker 7.574, ln_age*smoker -1.665, diabetes 0.661, meanSum -29.18, S10 0.9665; AFRICAN AMERICAN WOMEN: ln_age 17.114, ln_tc 0.940, ln_hdl -18.920, ln_age*ln_hdl 4.475, ln_treated_sbp 29.291, ln_age*ln_treated_sbp -6.432, ln_untreated_sbp 27.820, ln_age*ln_untreated_sbp -6.087, smoker 0.691, diabetes 0.874, meanSum 86.61, S10 0.9533; WHITE MEN: ln_age 12.344, ln_tc 11.853, ln_age*ln_tc -2.664, ln_hdl -7.990, ln_age*ln_hdl 1.769, ln_treated_sbp 1.797, ln_untreated_sbp 1.764, smoker 7.837, ln_age*smoker -1.795, diabetes 0.658, meanSum 61.18, S10 0.9144; AFRICAN AMERICAN MEN: ln_age 2.469, ln_tc 0.302, ln_hdl -0.307, ln_treated_sbp 1.916, ln_untreated_sbp 1.809, smoker 0.549, diabetes 0.645, meanSum 19.54, S10 0.8954; round 1 decimal; not PREVENT 2024; not Framingham CHD; not SCORE2; not a statin order",
      "hdl_mg_dl": 50,
      "individual_sum": -29.6767,
      "sbp_mm_hg": 120,
      "sex": "female",
      "smoker": false,
      "ten_year_ascvd_percent": 2.1,
      "total_cholesterol_mg_dl": 213
    },
    {
      "age": 55,
      "antihypertensive": false,
      "citation": {
        "authors": "Goff DC Jr, Lloyd-Jones DM, Bennett G, Coady S, D'Agostino RB, Gibbons R, Greenland P, Lackland DT, Levy D, O'Donnell CJ, Robinson JG, Schwartz JS, Shero ST, Smith SC Jr, Sorlie P, Stone NJ, Wilson PW",
        "doi": "10.1161/01.cir.0000437741.48606.98",
        "id": "goff-2013-pce",
        "pmid": "24222018",
        "source": "Circulation. 2014;129(25 Suppl 2):S49-S73",
        "title": "2013 ACC/AHA Guideline on the Assessment of Cardiovascular Risk: A Report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines"
      },
      "cohort": "white",
      "diabetes": false,
      "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": "ascvd_pce",
      "formula_expression": "10-year hard ASCVD % = 100*(1-S10**exp(individualSum-meanSum)); Goff 2013 Table A; Ln=natural log; age 40-79; cohort white|african_american (caller-assigned paper terms; not param race; Recommendation 2 is not a silent swap); treated vs untreated SBP (not both); interactions only where Table A is not N/A; WHITE WOMEN: ln_age -29.799, ln_age^2 4.884, ln_tc 13.540, ln_age*ln_tc -3.114, ln_hdl -13.578, ln_age*ln_hdl 3.149, ln_treated_sbp 2.019, ln_untreated_sbp 1.957, smoker 7.574, ln_age*smoker -1.665, diabetes 0.661, meanSum -29.18, S10 0.9665; AFRICAN AMERICAN WOMEN: ln_age 17.114, ln_tc 0.940, ln_hdl -18.920, ln_age*ln_hdl 4.475, ln_treated_sbp 29.291, ln_age*ln_treated_sbp -6.432, ln_untreated_sbp 27.820, ln_age*ln_untreated_sbp -6.087, smoker 0.691, diabetes 0.874, meanSum 86.61, S10 0.9533; WHITE MEN: ln_age 12.344, ln_tc 11.853, ln_age*ln_tc -2.664, ln_hdl -7.990, ln_age*ln_hdl 1.769, ln_treated_sbp 1.797, ln_untreated_sbp 1.764, smoker 7.837, ln_age*smoker -1.795, diabetes 0.658, meanSum 61.18, S10 0.9144; AFRICAN AMERICAN MEN: ln_age 2.469, ln_tc 0.302, ln_hdl -0.307, ln_treated_sbp 1.916, ln_untreated_sbp 1.809, smoker 0.549, diabetes 0.645, meanSum 19.54, S10 0.8954; round 1 decimal; not PREVENT 2024; not Framingham CHD; not SCORE2; not a statin order",
      "hdl_mg_dl": 50,
      "individual_sum": -29.6767,
      "sbp_mm_hg": 120,
      "sex": "female",
      "smoker": false,
      "ten_year_ascvd_percent": 2.1,
      "total_cholesterol_mg_dl": 213
    }
  ],
  "path": "/api/calc/ascvd_pce"
}

Use with an agent

  1. Discover. Agents find this listing with GET https://bazaar.saylorinnovations.com/discovery/search?query=…, the MCP tool search_resources, or /discovery/resources.
  2. Inspect. Fetch /resources/39303.json for the price and payment options.
  3. Pay. Call GET https://api.magentlab.com/api/calc/ascvd_pce. The provider answers 402 with its payment requirements. An x402 client signs one of the options below and retries with PAYMENT-SIGNATURE.
  4. Execute. The provider returns 200 with 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
5 calls · 2 unique payers in 30d (public x402 Bazaar data)

x402 payment requirements

SchemeNetworkAssetAmountPay toTimeout
exactBase
eip155:8453		USDC$0.0050x836Be278f1739fB4308091cD1852F7971Bc19Ee2600s
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
curl "https://api.magentlab.com/api/calc/ascvd_pce"
# -> 402 Payment Required, accepts[] lists how to pay
# retry with a PAYMENT-SIGNATURE (or PAYMENT header) once paid
JavaScript
const res = await fetch("https://api.magentlab.com/api/calc/ascvd_pce");
if (res.status === 402) {
  const { accepts } = await res.json();
  // pay one of accepts[] via an x402 client, then retry with the payment header
}
Python
import httpx
res = httpx.get("https://api.magentlab.com/api/calc/ascvd_pce")
if res.status_code == 402:
    accepts = res.json()["accepts"]
    # pay one of accepts[] via an x402 client, then retry with the payment header

Details

Provider
api.magentlab.com
Endpoint
https://api.magentlab.com/api/calc/ascvd_pce
Machine-readable
/resources/39303.json