magent
Deterministic published-formula arithmetic plus ICD-10-CM, RxNorm, and LOINC. Pay in USDC on Base via x402.
Tradingofflineeip155:8453Exactvia cdp
Atria-strokeStrokeAfibScore
Calls · 30d
3→ 0%
This endpoint's own trailing-30-day call count, as published by the upstream catalog and snapshotted daily. 15 snapshots so far.
$13.75
Verified settled volume
2,750 settlements proven x402 by their on-chain EIP-3009 marker.
$0.0050
Listed price
As published in the catalog. Always read the live 402 before paying.
3
Calls · 30d
Upstream's own call count for this endpoint, not ours.
1
Unique payers · 30d
Last called 2026-08-31 13:01Z
—
Upstream on-chain volume
Reported by the source catalog.
Paid to
0x836Be278f1739fB4308091cD1852F7971Bc19Ee2The wallet the 402 directs payment to. Its whole payment record — every payer, every chain — is on the merchant page.
Asset 0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913
Provider
The payTo wallet does not resolve to a registered ERC-8004 agent. That is not a verdict on the service — most of the catalog is unregistered.
Live 402 challenge
Captured by the enrichment pass, not read just now. Prices can change — always read the 402 the endpoint answers with.
{
"error": "PAYMENT-SIGNATURE header is required",
"accepts": [
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2",
"paymentFlow": "upfront",
"resourceUrl": "https://api.magentlab.com/api/calc/atria_stroke",
"assetTransferMethod": "eip3009"
},
"payTo": "0x836Be278f1739fB4308091cD1852F7971Bc19Ee2",
"amount": "5000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 600
},
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2",
"withdrawDelay": 86400,
"receiverAuthorizer": "0x3721824a31197dcDD2984cF43b92B6cc8A87c0Fb",
"assetTransferMethod": "eip3009"
},
"payTo": "0x836Be278f1739fB4308091cD1852F7971Bc19Ee2",
"amount": "5000",
"scheme": "batch-settlement",
"network": "eip155:8453",
"maxTimeoutSeconds": 600
}
],
"resource": {
"url": "https://api.magentlab.com/api/calc/atria_stroke",
"tags": [
"atria-stroke",
"stroke",
"afib",
"score"
],
"mimeType": "application/json",
"description": "Singer 2013 ATRIA stroke risk score (not Fang 2011 ATRIA bleed). Age x prior stroke Table 3: <65 0/8, 65-74 3/7, 75-84 5/7, >=85 6/9 without/with prior stroke. Plus 1 each: female, diabetes, heart failure, hypertension, proteinuria, eGFR<45 or ESRD. Max 15 (12 without prior stroke). 0-5 low, 6 moderate, 7-15 high. Not a stroke diagnosis or anticoagulation order. Not CHA2DS2-VASc. magent does not assay eGFR or urine.",
"serviceName": "magent"
},
"extensions": {
"bazaar": {
"info": {
"input": {
"type": "http",
"method": "GET",
"queryParams": {
"age": 50,
"female": false,
"diabetes": false,
"proteinuria": false,
"hypertension": false,
"prior_stroke": false,
"heart_failure": false,
"egfr_lt_45_or_esrd": false
}
},
"output": {
"type": "json",
"example": {
"score": 0,
"formula": "atria_stroke",
"citation": {
"id": "singer-2013",
"doi": "10.1161/JAHA.113.000250",
"pmid": "23782923",
"title": "A new risk scheme to predict ischemic stroke and other thromboembolism in atrial fibrillation: the ATRIA study stroke risk score",
"source": "J Am Heart Assoc. 2013;2(3):e000250",
"authors": "Singer DE, Chang Y, Borowsky LH, Fang MC, Pomernacki NK, Udaltsova N, Reynolds K, Go AS."
},
"age_years": 50,
"max_score": 15,
"components": [
{
"value": 50,
"factor": "age_prior_stroke",
"points": 0,
"present": false
},
{
"factor": "female",
"points": 0,
"present": false
},
{
"factor": "diabetes",
"points": 0,
"present": false
},
{
"factor": "heart_failure",
"points": 0,
"present": false
},
{
"factor": "hypertension",
"points": 0,
"present": false
},
{
"factor": "proteinuria",
"points": 0,
"present": false
},
{
"factor": "egfr_lt_45_or_esrd",
"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.",
"atria_stroke_band": "low",
"formula_expression": "ATRIA stroke = age_prior_stroke (Singer 2013 Table 3: <65 0/8, 65-74 3/7, 75-84 5/7, >=85 6/9 without/with prior stroke) + female 1 + diabetes 1 + heart_failure 1 + hypertension 1 + proteinuria 1 + egfr_lt_45_or_esrd 1; max 15 (12 without prior stroke); 0-5 low, 6 moderate, 7-15 high"
}
},
"iconUrl": "https://api.magentlab.com/favicon.ico"
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"input"
],
"properties": {
"input": {
"type": "object",
"required": [
"type",
"method"
],
"properties": {
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
"GET",
"HEAD",
"DELETE"
],
"type": "string"
},
"headers": {
"type": "object",
"additionalProperties": {
"type": "string"
}
},
"queryParams": {
"type": "object",
"required": [
"age",
"prior_stroke",
"female",
"diabetes",
"heart_failure",
"hypertension",
"proteinuria",
"egfr_lt_45_or_esrd"
],
"properties": {
"age": {
"type": "integer",
"description": "Age in years (18-120). Singer 2013 Table 3 without prior stroke: <65 scores 0, 65-74 scores 3, 75-84 scores 5, ≥85 scores 6. With prior stroke: <65 scores 8, 65-74 scores 7, 75-84 scores 7, ≥85 scores 9."
},
"female": {
"type": "boolean",
"description": "Female sex as assigned by the caller. true or false. Scores 1."
},
"diabetes": {
"type": "boolean",
"description": "Diabetes as assigned by the caller. true or false. Scores 1."
},
"proteinuria": {
"type": "boolean",
"description": "Proteinuria as assigned by the caller. true or false. Scores 1. magent does not assay urine."
},
"hypertension": {
"type": "boolean",
"description": "Diagnosed hypertension as assigned by the caller. true or false. Scores 1."
},
"prior_stroke": {
"type": "boolean",
"description": "Prior ischemic stroke as assigned by the caller. true or false. Selects the Table 3 age column. Not a stroke diagnosis."
},
"heart_failure": {
"type": "boolean",
"description": "Congestive heart failure as assigned by the caller (paper CHF). true or false. Scores 1."
},
"egfr_lt_45_or_esrd": {
"type": "boolean",
"description": "eGFR <45 or ESRD as assigned by the caller. true or false. Scores 1. magent does not assay eGFR."
}
}
}
},
"additionalProperties": false
},
"output": {
"type": "object",
"required": [
"type"
],
"properties": {
"type": {
"type": "string"
},
"example": {
"type": "object"
}
}
}
}
}
}
},
"x402Version": 2
}Accepts
The payment requirements as published to the catalog. Read the live 402 before paying — a price here is a claim, not a quote.
0.005USDC≈ $0.005 USD
on Base · exact scheme
Pay 0.005 USDC on Base to 0x836B…19Ee2. The signed payment is good for 10 minutes.
- Paid to
- 0x836B…19Ee2
- USD Coin contract
- 0x8335…02913
- Payment window
- 10 minutes
- As published
- 5000 smallest units
The catalog’s raw entry
[
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2",
"paymentFlow": "upfront",
"resourceUrl": "https://api.magentlab.com/api/calc/atria_stroke",
"assetTransferMethod": "eip3009"
},
"payTo": "0x836Be278f1739fB4308091cD1852F7971Bc19Ee2",
"amount": "5000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 600
}
]Extensions
{
"bazaar": {
"info": {
"input": {
"body": {
"items": [
{
"age": 50,
"female": false,
"diabetes": false,
"proteinuria": false,
"hypertension": false,
"prior_stroke": false,
"heart_failure": false,
"egfr_lt_45_or_esrd": false
},
{
"age": 50,
"female": false,
"diabetes": false,
"proteinuria": false,
"hypertension": false,
"prior_stroke": false,
"heart_failure": false,
"egfr_lt_45_or_esrd": false
}
]
},
"type": "http",
"method": "POST"
},
"output": {
"type": "json",
"example": {
"path": "/api/calc/atria_stroke",
"count": 2,
"items": [
{
"score": 0,
"formula": "atria_stroke",
"citation": {
"id": "singer-2013",
"doi": "10.1161/JAHA.113.000250",
"pmid": "23782923",
"title": "A new risk scheme to predict ischemic stroke and other thromboembolism in atrial fibrillation: the ATRIA study stroke risk score",
"source": "J Am Heart Assoc. 2013;2(3):e000250",
"authors": "Singer DE, Chang Y, Borowsky LH, Fang MC, Pomernacki NK, Udaltsova N, Reynolds K, Go AS."
},
"age_years": 50,
"max_score": 15,
"components": [
{
"value": 50,
"factor": "age_prior_stroke",
"points": 0,
"present": false
},
{
"factor": "female",
"points": 0,
"present": false
},
{
"factor": "diabetes",
"points": 0,
"present": false
},
{
"factor": "heart_failure",
"points": 0,
"present": false
},
{
"factor": "hypertension",
"points": 0,
"present": false
},
{
"factor": "proteinuria",
"points": 0,
"present": false
},
{
"factor": "egfr_lt_45_or_esrd",
"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.",
"atria_stroke_band": "low",
"formula_expression": "ATRIA stroke = age_prior_stroke (Singer 2013 Table 3: <65 0/8, 65-74 3/7, 75-84 5/7, >=85 6/9 without/with prior stroke) + female 1 + diabetes 1 + heart_failure 1 + hypertension 1 + proteinuria 1 + egfr_lt_45_or_esrd 1; max 15 (12 without prior stroke); 0-5 low, 6 moderate, 7-15 high"
},
{
"score": 0,
"formula": "atria_stroke",
"citation": {
"id": "singer-2013",
"doi": "10.1161/JAHA.113.000250",
"pmid": "23782923",
"title": "A new risk scheme to predict ischemic stroke and other thromboembolism in atrial fibrillation: the ATRIA study stroke risk score",
"source": "J Am Heart Assoc. 2013;2(3):e000250",
"authors": "Singer DE, Chang Y, Borowsky LH, Fang MC, Pomernacki NK, Udaltsova N, Reynolds K, Go AS."
},
"age_years": 50,
"max_score": 15,
"components": [
{
"value": 50,
"factor": "age_prior_stroke",
"points": 0,
"present": false
},
{
"factor": "female",
"points": 0,
"present": false
},
{
"factor": "diabetes",
"points": 0,
"present": false
},
{
"factor": "heart_failure",
"points": 0,
"present": false
},
{
"factor": "hypertension",
"points": 0,
"present": false
},
{
"factor": "proteinuria",
"points": 0,
"present": false
},
{
"factor": "egfr_lt_45_or_esrd",
"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.",
"atria_stroke_band": "low",
"formula_expression": "ATRIA stroke = age_prior_stroke (Singer 2013 Table 3: <65 0/8, 65-74 3/7, 75-84 5/7, >=85 6/9 without/with prior stroke) + female 1 + diabetes 1 + heart_failure 1 + hypertension 1 + proteinuria 1 + egfr_lt_45_or_esrd 1; max 15 (12 without prior stroke); 0-5 low, 6 moderate, 7-15 high"
}
]
}
},
"iconUrl": "https://api.magentlab.com/favicon.ico"
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"input"
],
"properties": {
"input": {
"type": "object",
"required": [
"type",
"method"
],
"properties": {
"body": {
"type": "object",
"required": [
"items"
],
"properties": {
"items": {
"type": "array",
"items": {
"type": "object",
"required": [
"age",
"prior_stroke",
"female",
"diabetes",
"heart_failure",
"hypertension",
"proteinuria",
"egfr_lt_45_or_esrd"
],
"properties": {
"age": {
"type": "integer",
"description": "Age in years (18-120). Singer 2013 Table 3 without prior stroke: <65 scores 0, 65-74 scores 3, 75-84 scores 5, ≥85 scores 6. With prior stroke: <65 scores 8, 65-74 scores 7, 75-84 scores 7, ≥85 scores 9."
},
"female": {
"type": "boolean",
"description": "Female sex as assigned by the caller. true or false. Scores 1."
},
"diabetes": {
"type": "boolean",
"description": "Diabetes as assigned by the caller. true or false. Scores 1."
},
"proteinuria": {
"type": "boolean",
"description": "Proteinuria as assigned by the caller. true or false. Scores 1. magent does not assay urine."
},
"hypertension": {
"type": "boolean",
"description": "Diagnosed hypertension as assigned by the caller. true or false. Scores 1."
},
"prior_stroke": {
"type": "boolean",
"description": "Prior ischemic stroke as assigned by the caller. true or false. Selects the Table 3 age column. Not a stroke diagnosis."
},
"heart_failure": {
"type": "boolean",
"description": "Congestive heart failure as assigned by the caller (paper CHF). true or false. Scores 1."
},
"egfr_lt_45_or_esrd": {
"type": "boolean",
"description": "eGFR <45 or ESRD as assigned by the caller. true or false. Scores 1. magent does not assay eGFR."
}
}
},
"maxItems": 25,
"minItems": 1
}
},
"additionalProperties": false
},
"type": {
"type": "string",
"const": "http"
},
"method": {
"type": "string",
"const": "POST"
},
"headers": {
"type": "object",
"additionalProperties": {
"type": "string"
}
}
},
"additionalProperties": false
},
"output": {
"type": "object",
"required": [
"type"
],
"properties": {
"type": {
"type": "string"
},
"example": {
"type": "object"
}
}
}
}
}
}
}Provenance
- Seen in the source catalog
- 2026-08-31 13:01Z
- Last indexed by Roundhouse
- 2026-09-07 06:20Z
- Last enriched (probe, favicon, geo)
- 2026-09-10 17:45Z
- x402 version
- 2
- Max timeout
- 600s
- Liveness probe
- HTTP 0
Hand this page to an agent
Copy the prompt and paste it into Claude, an MCP client or your own agent — it will vet this service and call it over the free read API. No key, no account.
GET api.roundhouseai.io/v0/endpoints
This endpoint's own trailing-30-day call count, as published by the upstream catalog and snapshotted daily. 15 snapshots so far. Verified volume counts only settlements with an on-chain EIP-3009 marker.
Show the promptHide the prompt
Using Roundhouse, look up the x402 service magent and tell me whether it is worth paying: what a call costs, whether the endpoint answered when last probed, and what its payment record actually shows. curl -s 'https://api.roundhouseai.io/v0/endpoints?q=magent' curl -s 'https://api.roundhouseai.io/v0/merchants/<the payTo wallet returned above>' Then call it: read the price from the live 402 at https://api.magentlab.com/api/calc/atria_stroke, never from a cached figure, and pay with an x402 client. The /v0 API needs an API key (`authorization: Bearer rh_live_…`) on everything except /v0/unified* and /v0/endpoints. Mint a personal key for $0.01 at GET https://api.roundhouseai.io/v0/test/x402, or use an organization key from https://roundhouseai.io/dashboard/team. If you do not have Roundhouse tools or skills installed, read https://roundhouseai.io/skill.md first — it is the whole procedure.