magent
Deterministic published-formula arithmetic plus ICD-10-CM, RxNorm, and LOINC. Pay in USDC on Base via x402.
TradingLiveeip155:8453Exactvia cdp
Gupta-pneumoniaPreoperativePneumoniaEmergencyCalculator
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 11:46Z
—
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/gupta_pneumonia",
"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/gupta_pneumonia",
"tags": [
"gupta-pneumonia",
"preoperative",
"pneumonia",
"emergency",
"calculator"
],
"mimeType": "application/json",
"description": "Gupta 2013 Mayo Clin Proc logistic probability of postoperative pneumonia from age, COPD, ASA class, functional status, preoperative sepsis, smoking in the last year, and surgery type (hernia reference). Returns logit and estimated_probability_percent. Not a medical device, not a diagnosis, not an antibiotic order, and not a ventilator order. Gupta 2013 publishes no low/high cutoff and does not use race.",
"serviceName": "magent"
},
"extensions": {
"bazaar": {
"info": {
"input": {
"type": "http",
"method": "GET",
"queryParams": {
"age": 40,
"copd": false,
"sepsis": "none",
"smoking": false,
"surgery": "hernia",
"asa_class": 2,
"functional_status": "independent"
}
},
"output": {
"type": "json",
"example": {
"copd": false,
"logit": -5.5774,
"sepsis": "none",
"formula": "gupta_pneumonia",
"smoking": false,
"surgery": "hernia",
"citation": {
"id": "gupta-2013-pneumonia",
"doi": "10.1016/j.mayocp.2013.06.027",
"pmid": "24182703",
"title": "Development and validation of a risk calculator for predicting postoperative pneumonia",
"source": "Mayo Clin Proc. 2013;88(11):1241-1249",
"authors": "Gupta H, Gupta PK, Schuller D, Fang X, Miller WJ, Modrykamien A, Wichman TO, Morrow LE"
},
"age_years": 40,
"asa_class": 2,
"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.",
"functional_status": "independent",
"formula_expression": "L = -2.8977 + 0.0144*age + copd + functional_status + asa_class + sepsis + smoking + surgery (Gupta 2013 Mayo Clin Proc logistic table); COPD no -0.4553, yes 0; independent 0, partially_dependent 0.7653, totally_dependent 0.9400; ASA1 -3.0225, ASA2 -1.6057, ASA3 -0.4915, ASA4 0.0123, ASA5 0; sepsis none -0.7641, sirs 0, sepsis -0.0842, septic_shock 0.1048; smoking no -0.4306, yes 0; hernia 0, anorectal -0.8470, aortic 0.7178, bariatric -0.6282, brain 0.6841, breast -2.3318, cardiac 0.1382, ent -0.3665, foregut_hpb 1.0660, gbaas -0.3951, intestinal 0.6169, neck -0.0872, obstetric_gynecologic -0.4101, orthopedic -0.5415, other_abdomen 0.4021, peripheral_vascular -0.4519, skin -0.5075, spine -0.5672, thoracic 0.8901, vein -1.4760, urology 0.1076; estimated_probability_percent = 100 * exp(L) / (1 + exp(L))",
"estimated_probability_percent": 0.38
}
},
"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",
"copd",
"functional_status",
"asa_class",
"sepsis",
"smoking",
"surgery"
],
"properties": {
"age": {
"type": "integer",
"description": "Age in years (18-120). Gupta 2013 Mayo Clin Proc: +0.0144 per year."
},
"copd": {
"type": "boolean",
"description": "Gupta 2013 COPD causing functional disability or hospitalization, or FEV1 <75%, as assigned by the caller: true (reference, 0) or false (-0.4553). magent does not diagnose COPD."
},
"sepsis": {
"enum": [
"none",
"sirs",
"sepsis",
"septic_shock"
],
"type": "string",
"description": "Gupta 2013 Mayo Clin Proc preoperative sepsis category as assigned by the caller: none (-0.7641), sirs (reference, 0), sepsis (-0.0842), or septic_shock (+0.1048). magent does not diagnose sepsis."
},
"smoking": {
"type": "boolean",
"description": "Gupta 2013 smoking within the last year as assigned by the caller: true (reference, 0) or false (-0.4306)."
},
"surgery": {
"enum": [
"hernia",
"anorectal",
"aortic",
"bariatric",
"brain",
"breast",
"cardiac",
"ent",
"foregut_hpb",
"gbaas",
"intestinal",
"neck",
"obstetric_gynecologic",
"orthopedic",
"other_abdomen",
"peripheral_vascular",
"skin",
"spine",
"thoracic",
"vein",
"urology"
],
"type": "string",
"description": "Gupta 2013 Mayo Clin Proc procedure category as assigned by the caller. hernia (ventral, inguinal, or femoral) is the reference (0). gbaas is gallbladder, appendix, adrenal, or spleen. thoracic is non-esophageal thoracic. orthopedic is orthopedic or non-vascular extremity. ent excludes thyroid/parathyroid (neck). magent does not classify a CPT code."
},
"asa_class": {
"type": "integer",
"description": "ASA physical status 1-5 (Gupta 2013 Mayo Clin Proc logistic table; class 5 is the reference). class 1 -3.0225, class 2 -1.6057, class 3 -0.4915, class 4 +0.0123, class 5 adds 0. Caller-assigned integer."
},
"functional_status": {
"enum": [
"independent",
"partially_dependent",
"totally_dependent"
],
"type": "string",
"description": "Gupta 2013 Mayo Clin Proc functional status as assigned by the caller: independent (reference, 0), partially_dependent (+0.7653), or totally_dependent (+0.9400). magent does not examine the patient."
}
}
}
},
"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/gupta_pneumonia",
"assetTransferMethod": "eip3009"
},
"payTo": "0x836Be278f1739fB4308091cD1852F7971Bc19Ee2",
"amount": "5000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 600
}
]Extensions
{
"bazaar": {
"info": {
"input": {
"body": {
"items": [
{
"age": 40,
"copd": false,
"sepsis": "none",
"smoking": false,
"surgery": "hernia",
"asa_class": 2,
"functional_status": "independent"
},
{
"age": 40,
"copd": false,
"sepsis": "none",
"smoking": false,
"surgery": "hernia",
"asa_class": 2,
"functional_status": "independent"
}
]
},
"type": "http",
"method": "POST"
},
"output": {
"type": "json",
"example": {
"path": "/api/calc/gupta_pneumonia",
"count": 2,
"items": [
{
"copd": false,
"logit": -5.5774,
"sepsis": "none",
"formula": "gupta_pneumonia",
"smoking": false,
"surgery": "hernia",
"citation": {
"id": "gupta-2013-pneumonia",
"doi": "10.1016/j.mayocp.2013.06.027",
"pmid": "24182703",
"title": "Development and validation of a risk calculator for predicting postoperative pneumonia",
"source": "Mayo Clin Proc. 2013;88(11):1241-1249",
"authors": "Gupta H, Gupta PK, Schuller D, Fang X, Miller WJ, Modrykamien A, Wichman TO, Morrow LE"
},
"age_years": 40,
"asa_class": 2,
"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.",
"functional_status": "independent",
"formula_expression": "L = -2.8977 + 0.0144*age + copd + functional_status + asa_class + sepsis + smoking + surgery (Gupta 2013 Mayo Clin Proc logistic table); COPD no -0.4553, yes 0; independent 0, partially_dependent 0.7653, totally_dependent 0.9400; ASA1 -3.0225, ASA2 -1.6057, ASA3 -0.4915, ASA4 0.0123, ASA5 0; sepsis none -0.7641, sirs 0, sepsis -0.0842, septic_shock 0.1048; smoking no -0.4306, yes 0; hernia 0, anorectal -0.8470, aortic 0.7178, bariatric -0.6282, brain 0.6841, breast -2.3318, cardiac 0.1382, ent -0.3665, foregut_hpb 1.0660, gbaas -0.3951, intestinal 0.6169, neck -0.0872, obstetric_gynecologic -0.4101, orthopedic -0.5415, other_abdomen 0.4021, peripheral_vascular -0.4519, skin -0.5075, spine -0.5672, thoracic 0.8901, vein -1.4760, urology 0.1076; estimated_probability_percent = 100 * exp(L) / (1 + exp(L))",
"estimated_probability_percent": 0.38
},
{
"copd": false,
"logit": -5.5774,
"sepsis": "none",
"formula": "gupta_pneumonia",
"smoking": false,
"surgery": "hernia",
"citation": {
"id": "gupta-2013-pneumonia",
"doi": "10.1016/j.mayocp.2013.06.027",
"pmid": "24182703",
"title": "Development and validation of a risk calculator for predicting postoperative pneumonia",
"source": "Mayo Clin Proc. 2013;88(11):1241-1249",
"authors": "Gupta H, Gupta PK, Schuller D, Fang X, Miller WJ, Modrykamien A, Wichman TO, Morrow LE"
},
"age_years": 40,
"asa_class": 2,
"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.",
"functional_status": "independent",
"formula_expression": "L = -2.8977 + 0.0144*age + copd + functional_status + asa_class + sepsis + smoking + surgery (Gupta 2013 Mayo Clin Proc logistic table); COPD no -0.4553, yes 0; independent 0, partially_dependent 0.7653, totally_dependent 0.9400; ASA1 -3.0225, ASA2 -1.6057, ASA3 -0.4915, ASA4 0.0123, ASA5 0; sepsis none -0.7641, sirs 0, sepsis -0.0842, septic_shock 0.1048; smoking no -0.4306, yes 0; hernia 0, anorectal -0.8470, aortic 0.7178, bariatric -0.6282, brain 0.6841, breast -2.3318, cardiac 0.1382, ent -0.3665, foregut_hpb 1.0660, gbaas -0.3951, intestinal 0.6169, neck -0.0872, obstetric_gynecologic -0.4101, orthopedic -0.5415, other_abdomen 0.4021, peripheral_vascular -0.4519, skin -0.5075, spine -0.5672, thoracic 0.8901, vein -1.4760, urology 0.1076; estimated_probability_percent = 100 * exp(L) / (1 + exp(L))",
"estimated_probability_percent": 0.38
}
]
}
},
"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",
"copd",
"functional_status",
"asa_class",
"sepsis",
"smoking",
"surgery"
],
"properties": {
"age": {
"type": "integer",
"description": "Age in years (18-120). Gupta 2013 Mayo Clin Proc: +0.0144 per year."
},
"copd": {
"type": "boolean",
"description": "Gupta 2013 COPD causing functional disability or hospitalization, or FEV1 <75%, as assigned by the caller: true (reference, 0) or false (-0.4553). magent does not diagnose COPD."
},
"sepsis": {
"enum": [
"none",
"sirs",
"sepsis",
"septic_shock"
],
"type": "string",
"description": "Gupta 2013 Mayo Clin Proc preoperative sepsis category as assigned by the caller: none (-0.7641), sirs (reference, 0), sepsis (-0.0842), or septic_shock (+0.1048). magent does not diagnose sepsis."
},
"smoking": {
"type": "boolean",
"description": "Gupta 2013 smoking within the last year as assigned by the caller: true (reference, 0) or false (-0.4306)."
},
"surgery": {
"enum": [
"hernia",
"anorectal",
"aortic",
"bariatric",
"brain",
"breast",
"cardiac",
"ent",
"foregut_hpb",
"gbaas",
"intestinal",
"neck",
"obstetric_gynecologic",
"orthopedic",
"other_abdomen",
"peripheral_vascular",
"skin",
"spine",
"thoracic",
"vein",
"urology"
],
"type": "string",
"description": "Gupta 2013 Mayo Clin Proc procedure category as assigned by the caller. hernia (ventral, inguinal, or femoral) is the reference (0). gbaas is gallbladder, appendix, adrenal, or spleen. thoracic is non-esophageal thoracic. orthopedic is orthopedic or non-vascular extremity. ent excludes thyroid/parathyroid (neck). magent does not classify a CPT code."
},
"asa_class": {
"type": "integer",
"description": "ASA physical status 1-5 (Gupta 2013 Mayo Clin Proc logistic table; class 5 is the reference). class 1 -3.0225, class 2 -1.6057, class 3 -0.4915, class 4 +0.0123, class 5 adds 0. Caller-assigned integer."
},
"functional_status": {
"enum": [
"independent",
"partially_dependent",
"totally_dependent"
],
"type": "string",
"description": "Gupta 2013 Mayo Clin Proc functional status as assigned by the caller: independent (reference, 0), partially_dependent (+0.7653), or totally_dependent (+0.9400). magent does not examine the patient."
}
}
},
"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 11:46Z
- Last indexed by Roundhouse
- 2026-09-07 06:20Z
- Last enriched (probe, favicon, geo)
- 2026-09-24 10:15Z
- 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/gupta_pneumonia, 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.