ToolAssay

Johnson 2014 GALAD linear predictor from age, sex, AFP ng/mL, AFP-L3 percent, an

Johnson 2014 GALAD linear predictor from age, sex, AFP ng/mL, AFP-L3 percent, and DCP ng/mL. galad_score = -10.08 + 0.09*age + 1.67*sex + 2.34*log10(AFP) + 0.04*AFP-L3 + 1.33*log10(DCP); sex is 1 if male else 0. Returns galad_score to 2 decimals. Not an HCC diagnosis, listing protocol, probability, or Johnson 2015 ALBI. DCP is ng/mL, not mAU/mL.

Asked 1.4x its listed price for its own exampleour last check, 2026-09-28
1 of 1checks answered this week
267 msmedian answer time
$0.005listed price per call
$0.007price it asked us

Paid test badge: not yet. The checks above are free: we call the tool without paying and read the payment request it sends back. The Verified badge needs paid calls whose answers match the promised output, and nobody can buy a badge.

Endpoint

POST https://api.magentlab.com/api/calc/galad

CategoryEverything else
Provider hostapi.magentlab.com
Networkseip155:8453
Payment schemesexact
Self-reported calls, 30 days0 from 0 payers (the provider's figure, not ours)

Our checks, last 30 days

DayResultHTTPAskedTime
2026-09-28 valid payment request 402$0.007 267 ms

Example input (from the provider)

{
  "body": {
    "items": [
      {
        "afp_l3_percent": 10,
        "afp_ng_ml": 10,
        "age": 60,
        "dcp_ng_ml": 10,
        "sex": "male"
      },
      {
        "afp_l3_percent": 10,
        "afp_ng_ml": 10,
        "age": 60,
        "dcp_ng_ml": 10,
        "sex": "male"
      }
    ]
  },
  "method": "POST",
  "type": "http"
}

Promised output schema (from the provider)

{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "properties": {
    "input": {
      "additionalProperties": false,
      "properties": {
        "body": {
          "additionalProperties": false,
          "properties": {
            "items": {
              "items": {
                "properties": {
                  "afp_l3_percent": {
                    "description": "AFP-L3 as a raw percent of total AFP (0-100). Enters unlogged. Johnson 2014 does not take log10 of AFP-L3.",
                    "type": "number"
                  },
                  "afp_ng_ml": {
                    "description": "AFP in ng/mL (0.1-100000). Johnson 2014 uses log10 of ng/mL. Not a conversion from other units.",
                    "type": "number"
                  },
                  "age": {
                    "description": "Age in years (18-120). Eighteen is an implementation clamp; Johnson 2014 is adult chronic liver disease.",
                    "type": "integer"
                  },
                  "dcp_ng_ml": {
                    "description": "DCP (des-gamma-carboxy prothrombin) in ng/mL (0.1-100000). Johnson 2014 uses log10 of ng/mL. Not mAU/mL; magent does not convert.",
                    "type": "number"
                  },
                  "sex": {
                    "description": "Sex used in the linear predictor (male = 1, female = 0).",
                    "enum": [
                      "female",
                      "male"
                    ],
                    "type": "string"
                  }
                },
                "required": [
                  "age",
                  "sex",
                  "afp_ng_ml",
                  "afp_l3_percent",
                  "dcp_ng_ml"
                ],
                "type": "object"
              },
              "maxItems": 25,
              "minItems": 1,
              "type": "array"
            }
          },
          "required": [
            "items"
          ],
          "type": "object"
        },
        "headers": {
          "additionalProperties": {
            "type": "string"
          },
          "type": "object"
        },
        "method": {
          "const": "POST",
          "type": "string"
        },
        "type": {
          "const": "http",
          "type": "string"
        }
      },
      "required": [
        "type",
        "method"
      ],
      "type": "object"
    },
    "output": {
      "properties": {
        "example": {
          "type": "object"
        },
        "type": {
          "type": "string"
        }
      },
      "required": [
        "type"
      ],
      "type": "object"
    }
  },
  "required": [
    "input"
  ],
  "type": "object"
}

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