magent
Deterministic published-formula arithmetic plus ICD-10-CM, RxNorm, and LOINC. Pay in USDC on Base via x402.
InferenceLiveeip155:8453Exactvia cdp
Ain-riskKidneyInterstitial-nephritisCalculator
Calls · 30d
1→ 0%
This endpoint's own trailing-30-day call count, as published by the upstream catalog and snapshotted daily. 8 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.
1
Calls · 30d
Upstream's own call count for this endpoint, not ours.
1
Unique payers · 30d
Last called 2026-09-01 10:14Z
—
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/ain_risk",
"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/ain_risk",
"tags": [
"ain-risk",
"kidney",
"interstitial-nephritis",
"calculator"
],
"mimeType": "application/json",
"description": "Moledina 2022 development-model logistic probability of biopsy-proven acute interstitial nephritis from serum creatinine, BUN:creatinine ratio, urine dipstick specific gravity, and dipstick protein (0 or 1+ versus 2+ or higher, caller-assigned). Returns logit and estimated_probability_percent. Not a medical device, not a diagnosis, and not a kidney biopsy. Does not include urine IL-9 or TNF-α. Moledina 2022 publishes no named low/high cutoff.",
"serviceName": "magent"
},
"extensions": {
"bazaar": {
"info": {
"input": {
"type": "http",
"method": "GET",
"queryParams": {
"protein": "le_1",
"bun_cr_ratio": 15,
"creatinine_mg_dl": 2.1,
"specific_gravity": 1.015
}
},
"output": {
"type": "json",
"example": {
"logit": -0.9111,
"formula": "ain_risk",
"protein": "le_1",
"citation": {
"id": "moledina-2022",
"doi": "10.1093/ndt/gfab346",
"pmid": "34865148",
"title": "Development and external validation of a diagnostic model for biopsy-proven acute interstitial nephritis using electronic health record data",
"source": "Nephrol Dial Transplant. 2022;37(11):2214-2222",
"authors": "Moledina DG, Eadon MT, Calderon F, et al."
},
"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.",
"bun_cr_ratio": 15,
"creatinine_mg_dl": 2.1,
"specific_gravity": 1.015,
"formula_expression": "L = 0.770398 + 0.8367518*ln(creatinine_mg_dl) - 0.9181938*ln(bun_cr_ratio) - 0.0501203*1000*(specific_gravity - 1) + protein (Moledina 2022 development model; Table 4 aORs / supplement weights); protein le_1 (0 or 1+) 0.9360127, ge_2 (2+ or higher, reference) 0; estimated_probability_percent = 100 * exp(L) / (1 + exp(L))",
"estimated_probability_percent": 28.68
}
},
"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": [
"creatinine_mg_dl",
"bun_cr_ratio",
"specific_gravity",
"protein"
],
"properties": {
"protein": {
"enum": [
"le_1",
"ge_2"
],
"type": "string",
"description": "Moledina 2022 dipstick protein category as assigned by the caller: le_1 (0 or 1+, +0.9360127) or ge_2 (2+ or higher, reference, 0). magent does not interpret the dipstick."
},
"bun_cr_ratio": {
"type": "number",
"description": "BUN:creatinine ratio (mg/dL : mg/dL, 0.5-200) as computed by the caller. Moledina 2022 Table 4: -0.9181938 per natural log. magent does not compute BUN from other labs."
},
"creatinine_mg_dl": {
"type": "number",
"description": "Serum creatinine in mg/dL (0.1-20). Moledina 2022 Table 4: +0.8367518 per natural log. µmol/L is not accepted on this tool. magent does not assay creatinine."
},
"specific_gravity": {
"type": "number",
"description": "Urine dipstick specific gravity (1.000-1.050) as assigned by the caller, e.g. 1.015. Moledina 2022 Table 4: -0.0501203 per 0.001 unit. magent does not read the dipstick."
}
}
}
},
"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/ain_risk",
"assetTransferMethod": "eip3009"
},
"payTo": "0x836Be278f1739fB4308091cD1852F7971Bc19Ee2",
"amount": "5000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 600
}
]Extensions
{
"bazaar": {
"info": {
"input": {
"body": {
"items": [
{
"protein": "le_1",
"bun_cr_ratio": 15,
"creatinine_mg_dl": 2.1,
"specific_gravity": 1.015
},
{
"protein": "le_1",
"bun_cr_ratio": 15,
"creatinine_mg_dl": 2.1,
"specific_gravity": 1.015
}
]
},
"type": "http",
"method": "POST"
},
"output": {
"type": "json",
"example": {
"path": "/api/calc/ain_risk",
"count": 2,
"items": [
{
"logit": -0.9111,
"formula": "ain_risk",
"protein": "le_1",
"citation": {
"id": "moledina-2022",
"doi": "10.1093/ndt/gfab346",
"pmid": "34865148",
"title": "Development and external validation of a diagnostic model for biopsy-proven acute interstitial nephritis using electronic health record data",
"source": "Nephrol Dial Transplant. 2022;37(11):2214-2222",
"authors": "Moledina DG, Eadon MT, Calderon F, et al."
},
"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.",
"bun_cr_ratio": 15,
"creatinine_mg_dl": 2.1,
"specific_gravity": 1.015,
"formula_expression": "L = 0.770398 + 0.8367518*ln(creatinine_mg_dl) - 0.9181938*ln(bun_cr_ratio) - 0.0501203*1000*(specific_gravity - 1) + protein (Moledina 2022 development model; Table 4 aORs / supplement weights); protein le_1 (0 or 1+) 0.9360127, ge_2 (2+ or higher, reference) 0; estimated_probability_percent = 100 * exp(L) / (1 + exp(L))",
"estimated_probability_percent": 28.68
},
{
"logit": -0.9111,
"formula": "ain_risk",
"protein": "le_1",
"citation": {
"id": "moledina-2022",
"doi": "10.1093/ndt/gfab346",
"pmid": "34865148",
"title": "Development and external validation of a diagnostic model for biopsy-proven acute interstitial nephritis using electronic health record data",
"source": "Nephrol Dial Transplant. 2022;37(11):2214-2222",
"authors": "Moledina DG, Eadon MT, Calderon F, et al."
},
"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.",
"bun_cr_ratio": 15,
"creatinine_mg_dl": 2.1,
"specific_gravity": 1.015,
"formula_expression": "L = 0.770398 + 0.8367518*ln(creatinine_mg_dl) - 0.9181938*ln(bun_cr_ratio) - 0.0501203*1000*(specific_gravity - 1) + protein (Moledina 2022 development model; Table 4 aORs / supplement weights); protein le_1 (0 or 1+) 0.9360127, ge_2 (2+ or higher, reference) 0; estimated_probability_percent = 100 * exp(L) / (1 + exp(L))",
"estimated_probability_percent": 28.68
}
]
}
},
"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": [
"creatinine_mg_dl",
"bun_cr_ratio",
"specific_gravity",
"protein"
],
"properties": {
"protein": {
"enum": [
"le_1",
"ge_2"
],
"type": "string",
"description": "Moledina 2022 dipstick protein category as assigned by the caller: le_1 (0 or 1+, +0.9360127) or ge_2 (2+ or higher, reference, 0). magent does not interpret the dipstick."
},
"bun_cr_ratio": {
"type": "number",
"description": "BUN:creatinine ratio (mg/dL : mg/dL, 0.5-200) as computed by the caller. Moledina 2022 Table 4: -0.9181938 per natural log. magent does not compute BUN from other labs."
},
"creatinine_mg_dl": {
"type": "number",
"description": "Serum creatinine in mg/dL (0.1-20). Moledina 2022 Table 4: +0.8367518 per natural log. µmol/L is not accepted on this tool. magent does not assay creatinine."
},
"specific_gravity": {
"type": "number",
"description": "Urine dipstick specific gravity (1.000-1.050) as assigned by the caller, e.g. 1.015. Moledina 2022 Table 4: -0.0501203 per 0.001 unit. magent does not read the dipstick."
}
}
},
"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
- 2026-09-01 10:14Z
- Last indexed by Roundhouse
- 2026-09-07 06:20Z
- Last enriched (probe, favicon, geo)
- 2026-09-24 08:45Z
- 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. 8 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/ain_risk, 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.