Cheatle 2019 revised Opioid Risk Tool (ORT-OUD): nine unweighted yes/no flags (each 1;…
Cheatle 2019 revised Opioid Risk Tool (ORT-OUD): nine unweighted yes/no flags (each 1; max 9). No sex. No preadolescent sexual abuse item. Scores 0-2 are non_oud; 3 or more are oud (integer cutoff for the paper's 2.5). Not Webster 2005 weighted ORT. Cheatle 2…
by api.magentlab.com · discovered, not yet claimed by its owner · updated 2026-10-13
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
Cheatle 2019 revised Opioid Risk Tool (ORT-OUD): nine unweighted yes/no flags (each 1; max 9). No sex. No preadolescent sexual abuse item. Scores 0-2 are non_oud; 3 or more are oud (integer cutoff for the paper's 2.5). Not Webster 2005 weighted ORT. Cheatle 2019 enrolled only Caucasian patients of European descent (parent-study genotype design); that is a population limit, not a race coefficient. Not a diagnosis of opioid use disorder. magent does not interview the patient. Not a medical device.
Tags: ort-oud · opioid · oud · pain · calculator · bazaar
Call contract
- Method
- POST
- Input
- HTTP request
- Output
- json
- Last paid call
- 2026-10-13
{
"items": [
{
"add_ocd_bipolar_schizophrenia": false,
"age_16_to_45": false,
"depression": false,
"family_alcohol": false,
"family_illegal_drugs": false,
"family_prescription_drugs": false,
"personal_alcohol": false,
"personal_illegal_drugs": false,
"personal_prescription_drugs": false
},
{
"add_ocd_bipolar_schizophrenia": false,
"age_16_to_45": false,
"depression": false,
"family_alcohol": false,
"family_illegal_drugs": false,
"family_prescription_drugs": false,
"personal_alcohol": false,
"personal_illegal_drugs": false,
"personal_prescription_drugs": false
}
]
}{
"count": 2,
"items": [
{
"citation": {
"authors": "Cheatle MD, Compton PA, Dhingra L, Wasser TE, O'Brien CP",
"doi": "10.1016/j.jpain.2019.01.011",
"id": "cheatle-2019",
"pmid": "30690168",
"source": "J Pain. 2019;20(7):842-851 (Epub 2019 Jan 26)",
"title": "Development of the Revised Opioid Risk Tool to Predict Opioid Use Disorder in Patients with Chronic Nonmalignant Pain."
},
"components": [
{
"factor": "family_alcohol",
"points": 0,
"present": false
},
{
"factor": "family_illegal_drugs",
"points": 0,
"present": false
},
{
"factor": "family_prescription_drugs",
"points": 0,
"present": false
},
{
"factor": "personal_alcohol",
"points": 0,
"present": false
},
{
"factor": "personal_illegal_drugs",
"points": 0,
"present": false
},
{
"factor": "personal_prescription_drugs",
"points": 0,
"present": false
},
{
"factor": "age_16_to_45",
"points": 0,
"present": false
},
{
"factor": "add_ocd_bipolar_schizophrenia",
"points": 0,
"present": false
},
{
"factor": "depression",
"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": "ort_oud",
"formula_expression": "ORT-OUD = family_alcohol + family_illegal_drugs + family_prescription_drugs + personal_alcohol + personal_illegal_drugs + personal_prescription_drugs + age_16_to_45 + add_ocd_bipolar_schizophrenia + depression; each 1; Cheatle 2019; max 9; oud_class non_oud 0-2, oud >=3; no sex; no preadolescent_sexual_abuse",
"max_score": 9,
"oud_class": "non_oud",
"score": 0
},
{
"citation": {
"authors": "Cheatle MD, Compton PA, Dhingra L, Wasser TE, O'Brien CP",
"doi": "10.1016/j.jpain.2019.01.011",
"id": "cheatle-2019",
"pmid": "30690168",
"source": "J Pain. 2019;20(7):842-851 (Epub 2019 Jan 26)",
"title": "Development of the Revised Opioid Risk Tool to Predict Opioid Use Disorder in Patients with Chronic Nonmalignant Pain."
},
"components": [
{
"factor": "family_alcohol",
"points": 0,
"present": false
},
{
"factor": "family_illegal_drugs",
"points": 0,
"present": false
},
{
"factor": "family_prescription_drugs",
"points": 0,
"present": false
},
{
"factor": "personal_alcohol",
"points": 0,
"present": false
},
{
"factor": "personal_illegal_drugs",
"points": 0,
"present": false
},
{
"factor": "personal_prescription_drugs",
"points": 0,
"present": false
},
{
"factor": "age_16_to_45",
"points": 0,
"present": false
},
{
"factor": "add_ocd_bipolar_schizophrenia",
"points": 0,
"present": false
},
{
"factor": "depression",
"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": "ort_oud",
"formula_expression": "ORT-OUD = family_alcohol + family_illegal_drugs + family_prescription_drugs + personal_alcohol + personal_illegal_drugs + personal_prescription_drugs + age_16_to_45 + add_ocd_bipolar_schizophrenia + depression; each 1; Cheatle 2019; max 9; oud_class non_oud 0-2, oud >=3; no sex; no preadolescent_sexual_abuse",
"max_score": 9,
"oud_class": "non_oud",
"score": 0
}
],
"path": "/api/calc/ort_oud"
}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/39109.jsonfor the price and payment options. - Pay. Call
GET https://api.magentlab.com/api/calc/ort_oud. 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
- 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 "https://api.magentlab.com/api/calc/ort_oud"
# -> 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/ort_oud");
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/ort_oud")
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/ort_oud
- Machine-readable
/resources/39109.json