magent
Deterministic published-formula arithmetic plus ICD-10-CM, RxNorm, and LOINC. Pay in USDC on Base via x402.
DataLiveeip155:8453Exactvia cdp
Ada-diabetesDiabetes-riskGlucoseCalculatorBang-2009
Calls · 30d
2→ 0%
This endpoint's own trailing-30-day call count, as published by the upstream catalog and snapshotted daily. 9 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.
2
Calls · 30d
Upstream's own call count for this endpoint, not ours.
1
Unique payers · 30d
Last called 2026-08-31 17:29Z
—
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/ada_diabetes",
"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/ada_diabetes",
"tags": [
"ada-diabetes",
"diabetes-risk",
"glucose",
"calculator",
"bang-2009"
],
"mimeType": "application/json",
"description": "Bang 2009 Table 2 development screening score for undiagnosed diabetes. Age (<40 → 0, 40–49 → 1, 50–59 → 2, ≥60 → 3); male 1; family history of diabetes 1; hypertension 1; BMI (≥40 extremely obese 3; 30–<40 obese 2; 25–<30 overweight 1; else 0); physically active −1. Returns score and high_risk (true iff score ≥ 5). BMI-only, no waist. Not Appendix ARIC/CHS, not a diagnosis.",
"serviceName": "magent"
},
"extensions": {
"bazaar": {
"info": {
"input": {
"type": "http",
"method": "GET",
"queryParams": {
"age": 40,
"sex": "female",
"bmi_kg_m2": 22,
"hypertension": false,
"physically_active": true,
"family_history_diabetes": false
}
},
"output": {
"type": "json",
"example": {
"sex": "female",
"score": 0,
"formula": "ada_diabetes",
"citation": {
"id": "bang-2009",
"doi": "10.7326/0003-4819-151-11-200912010-00005",
"pmid": "19949143",
"title": "Development and validation of a patient self-assessment score for diabetes risk",
"source": "Ann Intern Med. 2009;151(11):775-783",
"authors": "Bang H, Edwards AM, Bomback AS, Ballantyne CM, Brillon D, Callahan MA, Teutsch SM, Mushlin AI, Kern LM"
},
"age_years": 40,
"bmi_kg_m2": 22,
"high_risk": false,
"max_score": 9,
"components": [
{
"value": 40,
"factor": "age",
"points": 1,
"present": true
},
{
"value": "female",
"factor": "sex",
"points": 0,
"present": false
},
{
"factor": "family_history_diabetes",
"points": 0,
"present": false
},
{
"factor": "hypertension",
"points": 0,
"present": false
},
{
"value": 22,
"factor": "bmi",
"points": 0,
"present": true
},
{
"factor": "physically_active",
"points": -1,
"present": true
}
],
"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_expression": "score = age + sex + family_history_diabetes + hypertension + obesity + physically_active; age <40 -> 0, 40-49 -> 1, 50-59 -> 2, >=60 -> 3; female 0, male 1; family history yes 1; hypertension yes 1; BMI >=40 -> 3, 30 <= BMI < 40 -> 2, 25 <= BMI < 30 -> 1, else 0; physically_active yes -> -1; high_risk iff score>=5; Bang 2009 Table 2 development scores"
}
},
"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",
"sex",
"bmi_kg_m2",
"family_history_diabetes",
"hypertension",
"physically_active"
],
"properties": {
"age": {
"type": "integer",
"description": "Age in years (20-120). Bang 2009 Table 2: <40 scores 0; 40-49 scores 1; 50-59 scores 2; ≥60 scores 3. Age 40 and 49 score 1; 50 and 59 score 2; 60 scores 3."
},
"sex": {
"enum": [
"female",
"male"
],
"type": "string",
"description": "female or male. Bang 2009 Table 2: female scores 0; male scores 1."
},
"bmi_kg_m2": {
"type": "number",
"description": "Body-mass index in kg/m^2 (10-80). Caller-supplied; magent does not compute BMI from height and weight. Bang 2009 Table 2 obesity from BMI only (no waist): ≥40 extremely obese scores 3; 30 ≤ BMI < 40 obese scores 2; 25 ≤ BMI < 30 overweight scores 1; else 0. 25.0 scores 1; 30.0 scores 2; 40.0 scores 3."
},
"hypertension": {
"type": "boolean",
"description": "History of hypertension (Bang 2009 Table 2). true scores 1; false scores 0. magent does not read a medication list or measure blood pressure."
},
"physically_active": {
"type": "boolean",
"description": "Physically active (Bang 2009 Table 2). true scores −1; false scores 0. The total may be −1."
},
"family_history_diabetes": {
"type": "boolean",
"description": "Family history of diabetes (Bang 2009 Table 2). true scores 1; false scores 0."
}
}
}
},
"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/ada_diabetes",
"assetTransferMethod": "eip3009"
},
"payTo": "0x836Be278f1739fB4308091cD1852F7971Bc19Ee2",
"amount": "5000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 600
}
]Extensions
{
"bazaar": {
"info": {
"input": {
"body": {
"items": [
{
"age": 40,
"sex": "female",
"bmi_kg_m2": 22,
"hypertension": false,
"physically_active": true,
"family_history_diabetes": false
},
{
"age": 40,
"sex": "female",
"bmi_kg_m2": 22,
"hypertension": false,
"physically_active": true,
"family_history_diabetes": false
}
]
},
"type": "http",
"method": "POST"
},
"output": {
"type": "json",
"example": {
"path": "/api/calc/ada_diabetes",
"count": 2,
"items": [
{
"sex": "female",
"score": 0,
"formula": "ada_diabetes",
"citation": {
"id": "bang-2009",
"doi": "10.7326/0003-4819-151-11-200912010-00005",
"pmid": "19949143",
"title": "Development and validation of a patient self-assessment score for diabetes risk",
"source": "Ann Intern Med. 2009;151(11):775-783",
"authors": "Bang H, Edwards AM, Bomback AS, Ballantyne CM, Brillon D, Callahan MA, Teutsch SM, Mushlin AI, Kern LM"
},
"age_years": 40,
"bmi_kg_m2": 22,
"high_risk": false,
"max_score": 9,
"components": [
{
"value": 40,
"factor": "age",
"points": 1,
"present": true
},
{
"value": "female",
"factor": "sex",
"points": 0,
"present": false
},
{
"factor": "family_history_diabetes",
"points": 0,
"present": false
},
{
"factor": "hypertension",
"points": 0,
"present": false
},
{
"value": 22,
"factor": "bmi",
"points": 0,
"present": true
},
{
"factor": "physically_active",
"points": -1,
"present": true
}
],
"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_expression": "score = age + sex + family_history_diabetes + hypertension + obesity + physically_active; age <40 -> 0, 40-49 -> 1, 50-59 -> 2, >=60 -> 3; female 0, male 1; family history yes 1; hypertension yes 1; BMI >=40 -> 3, 30 <= BMI < 40 -> 2, 25 <= BMI < 30 -> 1, else 0; physically_active yes -> -1; high_risk iff score>=5; Bang 2009 Table 2 development scores"
},
{
"sex": "female",
"score": 0,
"formula": "ada_diabetes",
"citation": {
"id": "bang-2009",
"doi": "10.7326/0003-4819-151-11-200912010-00005",
"pmid": "19949143",
"title": "Development and validation of a patient self-assessment score for diabetes risk",
"source": "Ann Intern Med. 2009;151(11):775-783",
"authors": "Bang H, Edwards AM, Bomback AS, Ballantyne CM, Brillon D, Callahan MA, Teutsch SM, Mushlin AI, Kern LM"
},
"age_years": 40,
"bmi_kg_m2": 22,
"high_risk": false,
"max_score": 9,
"components": [
{
"value": 40,
"factor": "age",
"points": 1,
"present": true
},
{
"value": "female",
"factor": "sex",
"points": 0,
"present": false
},
{
"factor": "family_history_diabetes",
"points": 0,
"present": false
},
{
"factor": "hypertension",
"points": 0,
"present": false
},
{
"value": 22,
"factor": "bmi",
"points": 0,
"present": true
},
{
"factor": "physically_active",
"points": -1,
"present": true
}
],
"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_expression": "score = age + sex + family_history_diabetes + hypertension + obesity + physically_active; age <40 -> 0, 40-49 -> 1, 50-59 -> 2, >=60 -> 3; female 0, male 1; family history yes 1; hypertension yes 1; BMI >=40 -> 3, 30 <= BMI < 40 -> 2, 25 <= BMI < 30 -> 1, else 0; physically_active yes -> -1; high_risk iff score>=5; Bang 2009 Table 2 development scores"
}
]
}
},
"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",
"sex",
"bmi_kg_m2",
"family_history_diabetes",
"hypertension",
"physically_active"
],
"properties": {
"age": {
"type": "integer",
"description": "Age in years (20-120). Bang 2009 Table 2: <40 scores 0; 40-49 scores 1; 50-59 scores 2; ≥60 scores 3. Age 40 and 49 score 1; 50 and 59 score 2; 60 scores 3."
},
"sex": {
"enum": [
"female",
"male"
],
"type": "string",
"description": "female or male. Bang 2009 Table 2: female scores 0; male scores 1."
},
"bmi_kg_m2": {
"type": "number",
"description": "Body-mass index in kg/m^2 (10-80). Caller-supplied; magent does not compute BMI from height and weight. Bang 2009 Table 2 obesity from BMI only (no waist): ≥40 extremely obese scores 3; 30 ≤ BMI < 40 obese scores 2; 25 ≤ BMI < 30 overweight scores 1; else 0. 25.0 scores 1; 30.0 scores 2; 40.0 scores 3."
},
"hypertension": {
"type": "boolean",
"description": "History of hypertension (Bang 2009 Table 2). true scores 1; false scores 0. magent does not read a medication list or measure blood pressure."
},
"physically_active": {
"type": "boolean",
"description": "Physically active (Bang 2009 Table 2). true scores −1; false scores 0. The total may be −1."
},
"family_history_diabetes": {
"type": "boolean",
"description": "Family history of diabetes (Bang 2009 Table 2). true scores 1; false scores 0."
}
}
},
"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 17:29Z
- Last indexed by Roundhouse
- 2026-09-07 06:20Z
- Last enriched (probe, favicon, geo)
- 2026-09-23 09:45Z
- x402 version
- 2
- Max timeout
- 600s
- Liveness probe
- HTTP 402
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. 9 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/ada_diabetes, 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.