ACR/EULAR 2016 primary Sjögren classification (Shiboski Table 3)
ACR/EULAR 2016 primary Sjögren classification (Shiboski Table 3). Required: inclusion_met true (AECG dryness or ESSDAI domain) and exclusion_present false (no radiation, HCV, AIDS, sarcoid, amyloid, GVHD, IgG4-RD). Score: labial biopsy FS ≥1 3, anti-SSA/Ro 3,…
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
ACR/EULAR 2016 primary Sjögren classification (Shiboski Table 3). Required: inclusion_met true (AECG dryness or ESSDAI domain) and exclusion_present false (no radiation, HCV, AIDS, sarcoid, amyloid, GVHD, IgG4-RD). Score: labial biopsy FS ≥1 3, anti-SSA/Ro 3, ocular staining 1, Schirmer 1, UWS 1; max 9; classified iff ≥4. Not a diagnosis. Not AECG 2002. Not 2012 ACR-only. magent does not stain eyes, measure saliva, or read biopsies.
Tags: sjogren · acr-eular · classification · emergency · calculator · bazaar
Call contract
- Method
- POST
- Input
- HTTP request
- Output
- json
- Last paid call
- 2026-10-12
{
"items": [
{
"anti_ssa_ro": false,
"exclusion_present": false,
"inclusion_met": true,
"labial_biopsy_fs_ge_1": true,
"ocular_staining": true,
"schirmer": false,
"uws": false
},
{
"anti_ssa_ro": false,
"exclusion_present": false,
"inclusion_met": true,
"labial_biopsy_fs_ge_1": true,
"ocular_staining": true,
"schirmer": false,
"uws": false
}
]
}{
"count": 2,
"items": [
{
"citation": {
"authors": "Shiboski CH, Shiboski SC, Seror R, Criswell LA, Labetoulle M, Lietman TM, Rasmussen A, Scofield H, Vitali C, Bowman SJ, Mariette X, the International Sjögren's Syndrome Criteria Working Group",
"doi": "10.1002/art.39859",
"id": "shiboski-2016",
"pmid": "27785888",
"source": "Arthritis Rheumatol. 2017;69(1):35-45",
"title": "2016 American College of Rheumatology/European League Against Rheumatism Classification Criteria for Primary Sjögren's Syndrome: A Consensus and Data-Driven Methodology Involving Three International Patient Cohorts"
},
"classified": true,
"components": [
{
"factor": "labial_biopsy_fs_ge_1",
"points": 3,
"present": true
},
{
"factor": "anti_ssa_ro",
"points": 0,
"present": false
},
{
"factor": "ocular_staining",
"points": 1,
"present": true
},
{
"factor": "schirmer",
"points": 0,
"present": false
},
{
"factor": "uws",
"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": "acr_eular_sjogren",
"formula_expression": "ACR/EULAR 2016 primary Sjögren classification (Shiboski Table 3): required inclusion_met true and exclusion_present false (else do not score). Score = labial_biopsy_fs_ge_1 3 + anti_ssa_ro 3 + ocular_staining 1 + schirmer 1 + uws 1; max 9; classified iff score ≥4. Not a diagnosis. Not AECG 2002. Not 2012 ACR-only criteria",
"max_score": 9,
"score": 4
},
{
"citation": {
"authors": "Shiboski CH, Shiboski SC, Seror R, Criswell LA, Labetoulle M, Lietman TM, Rasmussen A, Scofield H, Vitali C, Bowman SJ, Mariette X, the International Sjögren's Syndrome Criteria Working Group",
"doi": "10.1002/art.39859",
"id": "shiboski-2016",
"pmid": "27785888",
"source": "Arthritis Rheumatol. 2017;69(1):35-45",
"title": "2016 American College of Rheumatology/European League Against Rheumatism Classification Criteria for Primary Sjögren's Syndrome: A Consensus and Data-Driven Methodology Involving Three International Patient Cohorts"
},
"classified": true,
"components": [
{
"factor": "labial_biopsy_fs_ge_1",
"points": 3,
"present": true
},
{
"factor": "anti_ssa_ro",
"points": 0,
"present": false
},
{
"factor": "ocular_staining",
"points": 1,
"present": true
},
{
"factor": "schirmer",
"points": 0,
"present": false
},
{
"factor": "uws",
"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": "acr_eular_sjogren",
"formula_expression": "ACR/EULAR 2016 primary Sjögren classification (Shiboski Table 3): required inclusion_met true and exclusion_present false (else do not score). Score = labial_biopsy_fs_ge_1 3 + anti_ssa_ro 3 + ocular_staining 1 + schirmer 1 + uws 1; max 9; classified iff score ≥4. Not a diagnosis. Not AECG 2002. Not 2012 ACR-only criteria",
"max_score": 9,
"score": 4
}
],
"path": "/api/calc/acr_eular_sjogren"
}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/39489.jsonfor the price and payment options. - Pay. Call
GET https://api.magentlab.com/api/calc/acr_eular_sjogren. 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
- 4 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/acr_eular_sjogren"
# -> 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/acr_eular_sjogren");
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/acr_eular_sjogren")
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/acr_eular_sjogren
- Machine-readable
/resources/39489.json