magent
Deterministic published-formula arithmetic plus ICD-10-CM, RxNorm, and LOINC. Pay in USDC on Base via x402.
Inferenceofflineeip155:8453Exactvia cdp
IganKidneyMestCalculator
Calls · 30d
1→ 0%
This endpoint's own trailing-30-day call count, as published by the upstream catalog and snapshotted daily. 7 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 2026-09-03 03:20Z
—
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/igan_predict",
"assetTransferMethod": "eip3009"
},
"payTo": "0x836Be278f1739fB4308091cD1852F7971Bc19Ee2",
"amount": "5000",
"scheme": "exact",
"network": "eip155:8453",
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},
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
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"assetTransferMethod": "eip3009"
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"payTo": "0x836Be278f1739fB4308091cD1852F7971Bc19Ee2",
"amount": "5000",
"scheme": "batch-settlement",
"network": "eip155:8453",
"maxTimeoutSeconds": 600
}
],
"resource": {
"url": "https://api.magentlab.com/api/calc/igan_predict",
"tags": [
"igan",
"kidney",
"mest",
"calculator"
],
"mimeType": "application/json",
"description": "Barbour 2019 race-free full IgAN model: 5-year risk of 50% eGFR decline or ESKD from age, eGFR, MAP, proteinuria g/day, Oxford MEST, RAS blockade, and immunosuppression at biopsy. Risk = 1 - S0(60)^exp(LP) with eTable 3 coefficients. Caller supplies eGFR; magent does not compute CKD-EPI or score the biopsy. Not the race/ethnicity model. Not KFRE. Not a diagnosis or treatment order. Not a medical device.",
"serviceName": "magent"
},
"extensions": {
"bazaar": {
"info": {
"input": {
"type": "http",
"method": "GET",
"queryParams": {
"mest_e": 0,
"mest_m": 1,
"mest_s": 1,
"mest_t": 0,
"age_years": 38,
"map_mm_hg": 97,
"rasb_at_biopsy": true,
"proteinuria_g_day": 1.1,
"egfr_ml_min_1_73m2": 77,
"immunosuppression_at_biopsy": false
}
},
"output": {
"type": "json",
"example": {
"mest_e": 0,
"mest_m": 1,
"mest_s": 1,
"mest_t": 0,
"formula": "igan_predict",
"citation": {
"id": "barbour-2019-igan",
"doi": "10.1001/jamainternmed.2019.0600",
"pmid": "30980653",
"title": "Evaluating a new international risk-prediction tool in IgA nephropathy",
"source": "JAMA Intern Med. 2019;179(7):942-952",
"authors": "Barbour SJ, Coppo R, Zhang H, Liu ZH, Suzuki Y, Matsuzaki K, Katafuchi R, Er L, Espino-Hernandez G, Kim SJ, Reich HN, Cattran DC, Feehally J; International IgA Nephropathy Network"
},
"age_years": 38,
"map_mm_hg": 97,
"s0_5_year": 0.94176,
"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.",
"horizon_months": 60,
"rasb_at_biopsy": true,
"linear_predictor": 0.4287,
"proteinuria_g_day": 1.1,
"egfr_ml_min_1_73m2": 77,
"formula_expression": "LP = -0.320*(sqrt(egfr_ml_min_1_73m2) - 8.8) + 0.002*(map_mm_hg - 97) - 0.035*(ln(proteinuria_g_day) - 0.09) + 0.004*(map_mm_hg*ln(proteinuria_g_day) - 8.73) + 0.201*M1 - 0.035*E1 + 0.084*S1 + 0.700*T1 + 1.237*T2 + 0.101*T1*ln(proteinuria_g_day) - 0.321*T2*ln(proteinuria_g_day) - 0.017*(age_years - 38) + 0.118*RASB + 0.166*RASB*ln(proteinuria_g_day) - 0.266*immunosuppression; S0(t) = 1.0003754 - 0.1131641*u^2 + 0.0964763*u^2*ln(u), u = (t + 0.1)/100, t months; 5-year risk = 1 - S0(60)^exp(LP); Barbour 2019 eTable 3 full model without race/ethnicity only; M/E/S/T1/T2 RASB and immunosuppression are 0 or 1; natural log; caller supplies eGFR; not the race model; not KFRE",
"five_year_risk_percent": 8.8,
"immunosuppression_at_biopsy": false
}
},
"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_years",
"egfr_ml_min_1_73m2",
"map_mm_hg",
"proteinuria_g_day",
"mest_m",
"mest_e",
"mest_s",
"mest_t",
"rasb_at_biopsy",
"immunosuppression_at_biopsy"
],
"properties": {
"mest_e": {
"enum": [
0,
1
],
"type": "integer",
"description": "Oxford MEST endocapillary hypercellularity at biopsy. 0 = E0, 1 = E1. magent does not score the biopsy."
},
"mest_m": {
"enum": [
0,
1
],
"type": "integer",
"description": "Oxford MEST mesangial hypercellularity at biopsy. 0 = M0, 1 = M1. magent does not score the biopsy."
},
"mest_s": {
"enum": [
0,
1
],
"type": "integer",
"description": "Oxford MEST segmental sclerosis at biopsy. 0 = S0, 1 = S1. magent does not score the biopsy."
},
"mest_t": {
"enum": [
0,
1,
2
],
"type": "integer",
"description": "Oxford MEST tubular atrophy/interstitial fibrosis at biopsy. 0 = T0, 1 = T1, 2 = T2. T1 and T2 have main-effect and proteinuria-interaction terms. magent does not score the biopsy."
},
"age_years": {
"type": "integer",
"description": "Age at biopsy in years (integer 18-120). Barbour 2019 derivation was adults 18 years or older. Enters the linear predictor as age_years - 38."
},
"map_mm_hg": {
"type": "number",
"description": "Mean arterial pressure at biopsy in mm Hg (30-180). Enters centered at 97 and in the proteinuria×MAP interaction."
},
"rasb_at_biopsy": {
"type": "boolean",
"description": "true if renin-angiotensin system blockade (ACE inhibitor or ARB) was in use at biopsy. Enters as 1 or 0 plus a RASB×proteinuria term. magent does not prescribe RAS blockade."
},
"proteinuria_g_day": {
"type": "number",
"description": "Proteinuria at biopsy in g/day (0.01-20). Enters as natural log, centered at 0.09, plus interactions with MAP, T, and RASB. magent does not assay urine protein."
},
"egfr_ml_min_1_73m2": {
"type": "number",
"description": "Caller-supplied eGFR in mL/min/1.73 m2 (5-200). Enters as sqrt(eGFR) centered at 8.8. Derivation used CKD-EPI and excluded ESKD at biopsy. magent does not compute CKD-EPI and does not assay creatinine."
},
"immunosuppression_at_biopsy": {
"type": "boolean",
"description": "true if immunosuppression was in use at biopsy. Enters as 1 or 0. magent does not prescribe immunosuppression."
}
}
}
},
"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/igan_predict",
"assetTransferMethod": "eip3009"
},
"payTo": "0x836Be278f1739fB4308091cD1852F7971Bc19Ee2",
"amount": "5000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 600
}
]Extensions
{
"bazaar": {
"info": {
"input": {
"body": {
"items": [
{
"mest_e": 0,
"mest_m": 1,
"mest_s": 1,
"mest_t": 0,
"age_years": 38,
"map_mm_hg": 97,
"rasb_at_biopsy": true,
"proteinuria_g_day": 1.1,
"egfr_ml_min_1_73m2": 77,
"immunosuppression_at_biopsy": false
},
{
"mest_e": 0,
"mest_m": 1,
"mest_s": 1,
"mest_t": 0,
"age_years": 38,
"map_mm_hg": 97,
"rasb_at_biopsy": true,
"proteinuria_g_day": 1.1,
"egfr_ml_min_1_73m2": 77,
"immunosuppression_at_biopsy": false
}
]
},
"type": "http",
"method": "POST"
},
"output": {
"type": "json",
"example": {
"path": "/api/calc/igan_predict",
"count": 2,
"items": [
{
"mest_e": 0,
"mest_m": 1,
"mest_s": 1,
"mest_t": 0,
"formula": "igan_predict",
"citation": {
"id": "barbour-2019-igan",
"doi": "10.1001/jamainternmed.2019.0600",
"pmid": "30980653",
"title": "Evaluating a new international risk-prediction tool in IgA nephropathy",
"source": "JAMA Intern Med. 2019;179(7):942-952",
"authors": "Barbour SJ, Coppo R, Zhang H, Liu ZH, Suzuki Y, Matsuzaki K, Katafuchi R, Er L, Espino-Hernandez G, Kim SJ, Reich HN, Cattran DC, Feehally J; International IgA Nephropathy Network"
},
"age_years": 38,
"map_mm_hg": 97,
"s0_5_year": 0.94176,
"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.",
"horizon_months": 60,
"rasb_at_biopsy": true,
"linear_predictor": 0.4287,
"proteinuria_g_day": 1.1,
"egfr_ml_min_1_73m2": 77,
"formula_expression": "LP = -0.320*(sqrt(egfr_ml_min_1_73m2) - 8.8) + 0.002*(map_mm_hg - 97) - 0.035*(ln(proteinuria_g_day) - 0.09) + 0.004*(map_mm_hg*ln(proteinuria_g_day) - 8.73) + 0.201*M1 - 0.035*E1 + 0.084*S1 + 0.700*T1 + 1.237*T2 + 0.101*T1*ln(proteinuria_g_day) - 0.321*T2*ln(proteinuria_g_day) - 0.017*(age_years - 38) + 0.118*RASB + 0.166*RASB*ln(proteinuria_g_day) - 0.266*immunosuppression; S0(t) = 1.0003754 - 0.1131641*u^2 + 0.0964763*u^2*ln(u), u = (t + 0.1)/100, t months; 5-year risk = 1 - S0(60)^exp(LP); Barbour 2019 eTable 3 full model without race/ethnicity only; M/E/S/T1/T2 RASB and immunosuppression are 0 or 1; natural log; caller supplies eGFR; not the race model; not KFRE",
"five_year_risk_percent": 8.8,
"immunosuppression_at_biopsy": false
},
{
"mest_e": 0,
"mest_m": 1,
"mest_s": 1,
"mest_t": 0,
"formula": "igan_predict",
"citation": {
"id": "barbour-2019-igan",
"doi": "10.1001/jamainternmed.2019.0600",
"pmid": "30980653",
"title": "Evaluating a new international risk-prediction tool in IgA nephropathy",
"source": "JAMA Intern Med. 2019;179(7):942-952",
"authors": "Barbour SJ, Coppo R, Zhang H, Liu ZH, Suzuki Y, Matsuzaki K, Katafuchi R, Er L, Espino-Hernandez G, Kim SJ, Reich HN, Cattran DC, Feehally J; International IgA Nephropathy Network"
},
"age_years": 38,
"map_mm_hg": 97,
"s0_5_year": 0.94176,
"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.",
"horizon_months": 60,
"rasb_at_biopsy": true,
"linear_predictor": 0.4287,
"proteinuria_g_day": 1.1,
"egfr_ml_min_1_73m2": 77,
"formula_expression": "LP = -0.320*(sqrt(egfr_ml_min_1_73m2) - 8.8) + 0.002*(map_mm_hg - 97) - 0.035*(ln(proteinuria_g_day) - 0.09) + 0.004*(map_mm_hg*ln(proteinuria_g_day) - 8.73) + 0.201*M1 - 0.035*E1 + 0.084*S1 + 0.700*T1 + 1.237*T2 + 0.101*T1*ln(proteinuria_g_day) - 0.321*T2*ln(proteinuria_g_day) - 0.017*(age_years - 38) + 0.118*RASB + 0.166*RASB*ln(proteinuria_g_day) - 0.266*immunosuppression; S0(t) = 1.0003754 - 0.1131641*u^2 + 0.0964763*u^2*ln(u), u = (t + 0.1)/100, t months; 5-year risk = 1 - S0(60)^exp(LP); Barbour 2019 eTable 3 full model without race/ethnicity only; M/E/S/T1/T2 RASB and immunosuppression are 0 or 1; natural log; caller supplies eGFR; not the race model; not KFRE",
"five_year_risk_percent": 8.8,
"immunosuppression_at_biopsy": false
}
]
}
},
"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_years",
"egfr_ml_min_1_73m2",
"map_mm_hg",
"proteinuria_g_day",
"mest_m",
"mest_e",
"mest_s",
"mest_t",
"rasb_at_biopsy",
"immunosuppression_at_biopsy"
],
"properties": {
"mest_e": {
"enum": [
0,
1
],
"type": "integer",
"description": "Oxford MEST endocapillary hypercellularity at biopsy. 0 = E0, 1 = E1. magent does not score the biopsy."
},
"mest_m": {
"enum": [
0,
1
],
"type": "integer",
"description": "Oxford MEST mesangial hypercellularity at biopsy. 0 = M0, 1 = M1. magent does not score the biopsy."
},
"mest_s": {
"enum": [
0,
1
],
"type": "integer",
"description": "Oxford MEST segmental sclerosis at biopsy. 0 = S0, 1 = S1. magent does not score the biopsy."
},
"mest_t": {
"enum": [
0,
1,
2
],
"type": "integer",
"description": "Oxford MEST tubular atrophy/interstitial fibrosis at biopsy. 0 = T0, 1 = T1, 2 = T2. T1 and T2 have main-effect and proteinuria-interaction terms. magent does not score the biopsy."
},
"age_years": {
"type": "integer",
"description": "Age at biopsy in years (integer 18-120). Barbour 2019 derivation was adults 18 years or older. Enters the linear predictor as age_years - 38."
},
"map_mm_hg": {
"type": "number",
"description": "Mean arterial pressure at biopsy in mm Hg (30-180). Enters centered at 97 and in the proteinuria×MAP interaction."
},
"rasb_at_biopsy": {
"type": "boolean",
"description": "true if renin-angiotensin system blockade (ACE inhibitor or ARB) was in use at biopsy. Enters as 1 or 0 plus a RASB×proteinuria term. magent does not prescribe RAS blockade."
},
"proteinuria_g_day": {
"type": "number",
"description": "Proteinuria at biopsy in g/day (0.01-20). Enters as natural log, centered at 0.09, plus interactions with MAP, T, and RASB. magent does not assay urine protein."
},
"egfr_ml_min_1_73m2": {
"type": "number",
"description": "Caller-supplied eGFR in mL/min/1.73 m2 (5-200). Enters as sqrt(eGFR) centered at 8.8. Derivation used CKD-EPI and excluded ESKD at biopsy. magent does not compute CKD-EPI and does not assay creatinine."
},
"immunosuppression_at_biopsy": {
"type": "boolean",
"description": "true if immunosuppression was in use at biopsy. Enters as 1 or 0. magent does not prescribe immunosuppression."
}
}
},
"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
- 2026-09-03 03:20Z
- Last indexed by Roundhouse
- 2026-09-07 06:20Z
- Last enriched (probe, favicon, geo)
- 2026-09-11 19:46Z
- 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. 7 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/igan_predict, 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.