Agent Service · x402 · early usage

Biagini Myers 2019 Pediatric Asthma Risk Score (PARS)

by api.magentlab.com · discovered, not yet claimed by its owner · updated 2026-10-13

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

Biagini Myers 2019 Pediatric Asthma Risk Score (PARS). Table III weights (OR rounded to nearest integer): parental asthma 2, eczema before age 3 2, wheezing apart from colds 3, wheezing before age 3 3, caller-assigned African American race 2, SPT ≥2 aeroallergens and/or food allergens 2. Max 14. Fig E1 predicted asthma by age 7 as an integer percent. Scores 1 and 13 are unattainable. Not API or mAPI. Not a diagnosis. magent does not assign race and does not perform SPT.

Tags: pars · asthma · pediatric · respiratory · bazaar

Call contract

Method: POST
Input: HTTP request
Output: json
Last paid call: 2026-10-13

Input example from Bazaar metadata

{
  "items": [
    {
      "african_american": false,
      "eczema_before_age_3": false,
      "parental_asthma": false,
      "spt_ge_2": false,
      "wheezing_apart_from_colds": false,
      "wheezing_before_age_3": false
    },
    {
      "african_american": false,
      "eczema_before_age_3": false,
      "parental_asthma": false,
      "spt_ge_2": false,
      "wheezing_apart_from_colds": false,
      "wheezing_before_age_3": false
    }
  ]
}

Output example

{
  "count": 2,
  "items": [
    {
      "citation": {
        "authors": "Biagini Myers JM, Schauberger E, He H, Martin LJ, Kroner J, Hill GM, Ryan PH, LeMasters GK, Bernstein DI, Lockey JE, Arshad SH, Kurukulaaratchy R, Khurana Hershey GK",
        "doi": "10.1016/j.jaci.2018.09.037",
        "id": "biagini-myers-2019-pars",
        "pmid": "30554722",
        "source": "J Allergy Clin Immunol. 2019;143(4):1803-1810.e2",
        "title": "A Pediatric Asthma Risk Score to better predict asthma development in young children"
      },
      "components": [
        {
          "factor": "parental_asthma",
          "points": 0,
          "present": false
        },
        {
          "factor": "eczema_before_age_3",
          "points": 0,
          "present": false
        },
        {
          "factor": "wheezing_apart_from_colds",
          "points": 0,
          "present": false
        },
        {
          "factor": "wheezing_before_age_3",
          "points": 0,
          "present": false
        },
        {
          "factor": "african_american",
          "points": 0,
          "present": false
        },
        {
          "factor": "spt_ge_2",
          "points": 0,
          "present": 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": "pars",
      "formula_expression": "PARS = 2*parental_asthma + 2*eczema_before_age_3 + 3*wheezing_apart_from_colds + 3*wheezing_before_age_3 + 2*african_american + 2*spt_ge_2; Biagini Myers 2019 Table III (OR rounded to nearest integer) and Fig E1; max 14; predicted_asthma_percent is the Fig E1 integer predicted risk of asthma by age 7; scores 1 and 13 are unattainable",
      "max_score": 14,
      "predicted_asthma_percent": 3,
      "score": 0
    },
    {
      "citation": {
        "authors": "Biagini Myers JM, Schauberger E, He H, Martin LJ, Kroner J, Hill GM, Ryan PH, LeMasters GK, Bernstein DI, Lockey JE, Arshad SH, Kurukulaaratchy R, Khurana Hershey GK",
        "doi": "10.1016/j.jaci.2018.09.037",
        "id": "biagini-myers-2019-pars",
        "pmid": "30554722",
        "source": "J Allergy Clin Immunol. 2019;143(4):1803-1810.e2",
        "title": "A Pediatric Asthma Risk Score to better predict asthma development in young children"
      },
      "components": [
        {
          "factor": "parental_asthma",
          "points": 0,
          "present": false
        },
        {
          "factor": "eczema_before_age_3",
          "points": 0,
          "present": false
        },
        {
          "factor": "wheezing_apart_from_colds",
          "points": 0,
          "present": false
        },
        {
          "factor": "wheezing_before_age_3",
          "points": 0,
          "present": false
        },
        {
          "factor": "african_american",
          "points": 0,
          "present": false
        },
        {
          "factor": "spt_ge_2",
          "points": 0,
          "present": 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": "pars",
      "formula_expression": "PARS = 2*parental_asthma + 2*eczema_before_age_3 + 3*wheezing_apart_from_colds + 3*wheezing_before_age_3 + 2*african_american + 2*spt_ge_2; Biagini Myers 2019 Table III (OR rounded to nearest integer) and Fig E1; max 14; predicted_asthma_percent is the Fig E1 integer predicted risk of asthma by age 7; scores 1 and 13 are unattainable",
      "max_score": 14,
      "predicted_asthma_percent": 3,
      "score": 0
    }
  ],
  "path": "/api/calc/pars"
}

Use with an agent

Discover. Agents find this listing with GET https://bazaar.saylorinnovations.com/discovery/search?query=…, the MCP tool search_resources, or /discovery/resources.
Inspect. Fetch /resources/39088.json for the price and payment options.
Pay. Call GET https://api.magentlab.com/api/calc/pars. The provider answers 402 with its payment requirements. An x402 client signs one of the options below and retries with PAYMENT-SIGNATURE.
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

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

curl "https://api.magentlab.com/api/calc/pars"
# -> 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/pars");
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/pars")
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/pars
Machine-readable: /resources/39088.json