magent
Deterministic published-formula arithmetic plus ICD-10-CM, RxNorm, and LOINC. Pay in USDC on Base via x402.
Tradingofflineeip155:8453Exactvia cdp
Cp-akiCisplatinKidneyAkiOncology
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 2026-09-02 05:28Z
—
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.
{
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"accepts": [
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"extra": {
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"version": "2",
"paymentFlow": "upfront",
"resourceUrl": "https://api.magentlab.com/api/calc/cp_aki",
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},
"payTo": "0x836Be278f1739fB4308091cD1852F7971Bc19Ee2",
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],
"resource": {
"url": "https://api.magentlab.com/api/calc/cp_aki",
"tags": [
"cp-aki",
"cisplatin",
"kidney",
"aki",
"oncology"
],
"mimeType": "application/json",
"description": "Gupta 2024 Figure 2 simple CP-AKI score after first IV cisplatin: age, hypertension, diabetes, current or former smoking, hemoglobin g/L, WBC, albumin g/L, magnesium mmol/L, and cisplatin dose mg. Max 22.5. Low / moderate / high / very_high. Not a diagnosis or chemo order. magent does not assay labs or dose cisplatin.",
"serviceName": "magent"
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"diabetes": false,
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"albumin_g_l": 42,
"albumin_g_dl": 4.2,
"hypertension": false,
"hemoglobin_g_l": 130,
"hemoglobin_g_dl": 13,
"magnesium_mmol_l": 0.9,
"cisplatin_dose_mg": 50,
"current_or_former_smoker": false
}
},
"output": {
"type": "json",
"example": {
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"score": 0,
"formula": "cp_aki",
"citation": {
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{
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{
"value": 42,
"factor": "albumin",
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{
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"factor": "magnesium",
"points": 0,
"present": false
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{
"value": 50,
"factor": "cisplatin_dose",
"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.",
"risk_group": "low",
"wbc_10e9_l": 8,
"albumin_g_l": 42,
"hemoglobin_g_l": 130,
"magnesium_mmol_l": 0.9,
"cisplatin_dose_mg": 50,
"formula_expression": "CP-AKI simple = age (≤45 0; 46-60 2.5; 61-70 3.5; >70 4.5) + hypertension 1 + diabetes 1 + current_or_former_smoker 1 + hemoglobin_g_l (≥120 0; 110-119 1; <110 1.5) + wbc_10e9_l (≤12.0 0; >12.0 1.5) + albumin_g_l (>38 0; 33-38 1; <33 1.5) + magnesium_mmol_l (≥0.82 0; <0.82 1) + cisplatin_dose_mg (≤50 0; 51-75 2; 76-100 2.5; 101-125 3; 126-150 5; 151-200 7.5; >200 9.5); Gupta 2024 Figure 2 odds-ratio points; max 22.5; no creatinine; no platelets; low 0-5.5 / moderate 6-9.5 / high 10-15.5 / very_high ≥16"
}
},
"iconUrl": "https://api.magentlab.com/favicon.ico"
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
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"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",
"hypertension",
"diabetes",
"current_or_former_smoker",
"magnesium_mmol_l",
"cisplatin_dose_mg"
],
"properties": {
"age": {
"type": "integer",
"description": "Age in years (integer 18-120). Gupta 2024 Figure 2: ≤45 scores 0; 46-60 scores 2.5; 61-70 scores 3.5; >70 scores 4.5."
},
"wbc_ul": {
"type": "number",
"description": "White blood cell count per µL (10-500000). Converted as wbc_10e9_l = wbc_ul / 1000. Provide this or wbc_k_ul, not both."
},
"diabetes": {
"type": "boolean",
"description": "Caller-assigned diabetes mellitus (Gupta 2024 Figure 2). true scores 1. magent does not diagnose diabetes."
},
"wbc_k_ul": {
"type": "number",
"description": "White blood cell count in 10^9/L (0.01-500), same as k/µL. Provide this or wbc_ul, not both. ≤12.0 scores 0; >12.0 scores 1.5 (Gupta 2024 Figure 2). magent does not assay WBC."
},
"albumin_g_l": {
"type": "number",
"description": "Serum albumin in g/L (10-60), Gupta 2024 units. Provide this or albumin_g_dl, not both. >38 scores 0; 33-38 scores 1; <33 scores 1.5. magent does not assay albumin."
},
"albumin_g_dl": {
"type": "number",
"description": "Serum albumin in g/dL (1-6). Converted as albumin_g_l = albumin_g_dl × 10. Provide this or albumin_g_l, not both."
},
"hypertension": {
"type": "boolean",
"description": "Caller-assigned hypertension (Gupta 2024 Figure 2). true scores 1. magent does not diagnose hypertension."
},
"hemoglobin_g_l": {
"type": "number",
"description": "Hemoglobin in g/L (30-220), Gupta 2024 units. Provide this or hemoglobin_g_dl, not both. ≥120 scores 0; 110-119 scores 1; <110 scores 1.5. magent does not assay hemoglobin."
},
"hemoglobin_g_dl": {
"type": "number",
"description": "Hemoglobin in g/dL (3-22). Converted as hemoglobin_g_l = hemoglobin_g_dl × 10. Provide this or hemoglobin_g_l, not both."
},
"magnesium_mmol_l": {
"type": "number",
"description": "Serum magnesium in mmol/L (0.2-2.5), Gupta 2024 units. ≥0.82 scores 0; <0.82 scores 1. magent does not assay magnesium."
},
"cisplatin_dose_mg": {
"type": "number",
"description": "First intravenous cisplatin dose in mg (1-500), Gupta 2024 Figure 2. ≤50 scores 0; 51-75 scores 2; 76-100 scores 2.5; 101-125 scores 3; 126-150 scores 5; 151-200 scores 7.5; >200 scores 9.5. magent does not dose cisplatin."
},
"current_or_former_smoker": {
"type": "boolean",
"description": "Caller-assigned current or former smoker (Gupta 2024 Figure 2 simple score; BMJ 2024;385:q1207). true scores 1. magent does not take a smoking history."
}
}
}
},
"additionalProperties": false
},
"output": {
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"required": [
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"properties": {
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"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
[
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"extra": {
"name": "USD Coin",
"version": "2",
"paymentFlow": "upfront",
"resourceUrl": "https://api.magentlab.com/api/calc/cp_aki",
"assetTransferMethod": "eip3009"
},
"payTo": "0x836Be278f1739fB4308091cD1852F7971Bc19Ee2",
"amount": "5000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 600
}
]Extensions
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"bazaar": {
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"input": {
"body": {
"items": [
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"age": 40,
"wbc_ul": 8000,
"diabetes": false,
"wbc_k_ul": 8,
"albumin_g_l": 42,
"albumin_g_dl": 4.2,
"hypertension": false,
"hemoglobin_g_l": 130,
"hemoglobin_g_dl": 13,
"magnesium_mmol_l": 0.9,
"cisplatin_dose_mg": 50,
"current_or_former_smoker": false
},
{
"age": 40,
"wbc_ul": 8000,
"diabetes": false,
"wbc_k_ul": 8,
"albumin_g_l": 42,
"albumin_g_dl": 4.2,
"hypertension": false,
"hemoglobin_g_l": 130,
"hemoglobin_g_dl": 13,
"magnesium_mmol_l": 0.9,
"cisplatin_dose_mg": 50,
"current_or_former_smoker": false
}
]
},
"type": "http",
"method": "POST"
},
"output": {
"type": "json",
"example": {
"path": "/api/calc/cp_aki",
"count": 2,
"items": [
{
"age": 40,
"score": 0,
"formula": "cp_aki",
"citation": {
"id": "gupta-2024",
"doi": "10.1136/bmj-2023-077169",
"pmid": "38538012",
"title": "Derivation and external validation of a simple risk score for predicting severe acute kidney injury after intravenous cisplatin: cohort study",
"source": "BMJ. 2024;384:e077169",
"authors": "Gupta S, et al."
},
"max_score": 22.5,
"components": [
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"factor": "age",
"points": 0,
"present": false
},
{
"factor": "hypertension",
"points": 0,
"present": false
},
{
"factor": "diabetes",
"points": 0,
"present": false
},
{
"factor": "current_or_former_smoker",
"points": 0,
"present": false
},
{
"value": 130,
"factor": "hemoglobin",
"points": 0,
"present": false
},
{
"value": 8,
"factor": "wbc",
"points": 0,
"present": false
},
{
"value": 42,
"factor": "albumin",
"points": 0,
"present": false
},
{
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"factor": "magnesium",
"points": 0,
"present": false
},
{
"value": 50,
"factor": "cisplatin_dose",
"points": 0,
"present": false
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],
"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.",
"risk_group": "low",
"wbc_10e9_l": 8,
"albumin_g_l": 42,
"hemoglobin_g_l": 130,
"magnesium_mmol_l": 0.9,
"cisplatin_dose_mg": 50,
"formula_expression": "CP-AKI simple = age (≤45 0; 46-60 2.5; 61-70 3.5; >70 4.5) + hypertension 1 + diabetes 1 + current_or_former_smoker 1 + hemoglobin_g_l (≥120 0; 110-119 1; <110 1.5) + wbc_10e9_l (≤12.0 0; >12.0 1.5) + albumin_g_l (>38 0; 33-38 1; <33 1.5) + magnesium_mmol_l (≥0.82 0; <0.82 1) + cisplatin_dose_mg (≤50 0; 51-75 2; 76-100 2.5; 101-125 3; 126-150 5; 151-200 7.5; >200 9.5); Gupta 2024 Figure 2 odds-ratio points; max 22.5; no creatinine; no platelets; low 0-5.5 / moderate 6-9.5 / high 10-15.5 / very_high ≥16"
},
{
"age": 40,
"score": 0,
"formula": "cp_aki",
"citation": {
"id": "gupta-2024",
"doi": "10.1136/bmj-2023-077169",
"pmid": "38538012",
"title": "Derivation and external validation of a simple risk score for predicting severe acute kidney injury after intravenous cisplatin: cohort study",
"source": "BMJ. 2024;384:e077169",
"authors": "Gupta S, et al."
},
"max_score": 22.5,
"components": [
{
"value": 40,
"factor": "age",
"points": 0,
"present": false
},
{
"factor": "hypertension",
"points": 0,
"present": false
},
{
"factor": "diabetes",
"points": 0,
"present": false
},
{
"factor": "current_or_former_smoker",
"points": 0,
"present": false
},
{
"value": 130,
"factor": "hemoglobin",
"points": 0,
"present": false
},
{
"value": 8,
"factor": "wbc",
"points": 0,
"present": false
},
{
"value": 42,
"factor": "albumin",
"points": 0,
"present": false
},
{
"value": 0.9,
"factor": "magnesium",
"points": 0,
"present": false
},
{
"value": 50,
"factor": "cisplatin_dose",
"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.",
"risk_group": "low",
"wbc_10e9_l": 8,
"albumin_g_l": 42,
"hemoglobin_g_l": 130,
"magnesium_mmol_l": 0.9,
"cisplatin_dose_mg": 50,
"formula_expression": "CP-AKI simple = age (≤45 0; 46-60 2.5; 61-70 3.5; >70 4.5) + hypertension 1 + diabetes 1 + current_or_former_smoker 1 + hemoglobin_g_l (≥120 0; 110-119 1; <110 1.5) + wbc_10e9_l (≤12.0 0; >12.0 1.5) + albumin_g_l (>38 0; 33-38 1; <33 1.5) + magnesium_mmol_l (≥0.82 0; <0.82 1) + cisplatin_dose_mg (≤50 0; 51-75 2; 76-100 2.5; 101-125 3; 126-150 5; 151-200 7.5; >200 9.5); Gupta 2024 Figure 2 odds-ratio points; max 22.5; no creatinine; no platelets; low 0-5.5 / moderate 6-9.5 / high 10-15.5 / very_high ≥16"
}
]
}
},
"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",
"hypertension",
"diabetes",
"current_or_former_smoker",
"magnesium_mmol_l",
"cisplatin_dose_mg"
],
"properties": {
"age": {
"type": "integer",
"description": "Age in years (integer 18-120). Gupta 2024 Figure 2: ≤45 scores 0; 46-60 scores 2.5; 61-70 scores 3.5; >70 scores 4.5."
},
"wbc_ul": {
"type": "number",
"description": "White blood cell count per µL (10-500000). Converted as wbc_10e9_l = wbc_ul / 1000. Provide this or wbc_k_ul, not both."
},
"diabetes": {
"type": "boolean",
"description": "Caller-assigned diabetes mellitus (Gupta 2024 Figure 2). true scores 1. magent does not diagnose diabetes."
},
"wbc_k_ul": {
"type": "number",
"description": "White blood cell count in 10^9/L (0.01-500), same as k/µL. Provide this or wbc_ul, not both. ≤12.0 scores 0; >12.0 scores 1.5 (Gupta 2024 Figure 2). magent does not assay WBC."
},
"albumin_g_l": {
"type": "number",
"description": "Serum albumin in g/L (10-60), Gupta 2024 units. Provide this or albumin_g_dl, not both. >38 scores 0; 33-38 scores 1; <33 scores 1.5. magent does not assay albumin."
},
"albumin_g_dl": {
"type": "number",
"description": "Serum albumin in g/dL (1-6). Converted as albumin_g_l = albumin_g_dl × 10. Provide this or albumin_g_l, not both."
},
"hypertension": {
"type": "boolean",
"description": "Caller-assigned hypertension (Gupta 2024 Figure 2). true scores 1. magent does not diagnose hypertension."
},
"hemoglobin_g_l": {
"type": "number",
"description": "Hemoglobin in g/L (30-220), Gupta 2024 units. Provide this or hemoglobin_g_dl, not both. ≥120 scores 0; 110-119 scores 1; <110 scores 1.5. magent does not assay hemoglobin."
},
"hemoglobin_g_dl": {
"type": "number",
"description": "Hemoglobin in g/dL (3-22). Converted as hemoglobin_g_l = hemoglobin_g_dl × 10. Provide this or hemoglobin_g_l, not both."
},
"magnesium_mmol_l": {
"type": "number",
"description": "Serum magnesium in mmol/L (0.2-2.5), Gupta 2024 units. ≥0.82 scores 0; <0.82 scores 1. magent does not assay magnesium."
},
"cisplatin_dose_mg": {
"type": "number",
"description": "First intravenous cisplatin dose in mg (1-500), Gupta 2024 Figure 2. ≤50 scores 0; 51-75 scores 2; 76-100 scores 2.5; 101-125 scores 3; 126-150 scores 5; 151-200 scores 7.5; >200 scores 9.5. magent does not dose cisplatin."
},
"current_or_former_smoker": {
"type": "boolean",
"description": "Caller-assigned current or former smoker (Gupta 2024 Figure 2 simple score; BMJ 2024;385:q1207). true scores 1. magent does not take a smoking history."
}
}
},
"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
- 2026-09-02 05:28Z
- Last indexed by Roundhouse
- 2026-09-07 06:20Z
- Last enriched (probe, favicon, geo)
- 2026-09-10 21:15Z
- 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/cp_aki, 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.