ToolAssay

Compares two submitted sample sets feature by feature and returns deterministic

Compares two submitted sample sets feature by feature and returns deterministic drift metrics. Continuous features are binned on the combined value range and receive PSI, Jensen-Shannon divergence and a Kolmogorov-Smirnov statistic; categorical features receive PSI and Jensen-Shannon divergence over exact category labels. The response names every feature, its sample counts, the metric values, the threshold used, and the reason a feature was flagged.

Answeringour last check, 2026-09-24
1 of 1checks answered this week
1186 msmedian answer time
$0.003listed price per call
$0.003price 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://modell.halowerk.com/v1/drift-check

CategoryEverything else
Provider hostmodell.halowerk.com
Networkseip155:8453
Payment schemesexact
Self-reported calls, 30 days2 from 2 payers (the provider's figure, not ours)

Our checks, last 30 days

DayResultHTTPAskedTime
2026-09-24 valid payment request 402$0.003 1186 ms

Example input (from the provider)

{
  "body": {
    "bins": 5,
    "current_samples": {
      "risk_score": [
        0.14,
        0.19,
        0.23,
        0.32,
        0.4,
        0.44,
        0.48,
        0.52
      ],
      "segment": [
        "retail",
        "smb",
        "smb",
        "enterprise",
        "enterprise",
        "enterprise"
      ]
    },
    "feature_types": {
      "risk_score": "continuous",
      "segment": "categorical"
    },
    "reference_samples": {
      "risk_score": [
        0.12,
        0.18,
        0.2,
        0.21,
        0.25,
        0.28,
        0.31,
        0.34
      ],
      "segment": [
        "retail",
        "retail",
        "smb",
        "smb",
        "enterprise",
        "retail"
      ]
    },
    "threshold": 0.2
  },
  "bodyType": "json",
  "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": {
            "bins": {
              "default": 10,
              "description": "Number of equal-width bins for continuous features.",
              "maximum": 50,
              "minimum": 2,
              "type": "integer"
            },
            "current_samples": {
              "additionalProperties": {
                "items": {
                  "type": [
                    "number",
                    "string",
                    "boolean"
                  ]
                },
                "maxItems": 10000,
                "minItems": 2,
                "type": "array"
              },
              "description": "Current samples keyed by the same feature names as reference_samples.",
              "maxProperties": 50,
              "minProperties": 1,
              "type": "object"
            },
            "feature_types": {
              "additionalProperties": {
                "enum": [
                  "continuous",
                  "categorical"
                ],
                "type": "string"
              },
              "description": "Optional explicit feature types keyed by feature name.",
              "maxProperties": 50,
              "type": "object"
            },
            "reference_samples": {
              "additionalProperties": {
                "items": {
                  "type": [
                    "number",
                    "string",
                    "boolean"
                  ]
                },
                "maxItems": 10000,
                "minItems": 2,
                "type": "array"
              },
              "description": "Baseline samples keyed by feature name. Each value is an array of finite numbers for continuous features or scalar category labels for categorical features.",
              "maxProperties": 50,
              "minProperties": 1,
              "type": "object"
            },
            "threshold": {
              "default": 0.2,
              "description": "Drift threshold applied to PSI for the final feature flag.",
              "maximum": 1,
              "minimum": 0.01,
              "type": "number"
            }
          },
          "required": [
            "reference_samples",
            "current_samples"
          ],
          "type": "object"
        },
        "bodyType": {
          "enum": [
            "json",
            "form-data",
            "text"
          ],
          "type": "string"
        },
        "method": {
          "enum": [
            "POST",
            "PUT",
            "PATCH"
          ],
          "type": "string"
        },
        "type": {
          "const": "http",
          "type": "string"
        }
      },
      "required": [
        "type",
        "method",
        "bodyType",
        "body"
      ],
      "type": "object"
    },
    "output": {
      "properties": {
        "example": {
          "type": "object"
        },
        "type": {
          "type": "string"
        }
      },
      "required": [
        "type"
      ],
      "type": "object"
    }
  },
  "required": [
    "input"
  ],
  "type": "object"
}

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