Scoring

Scoring (scoring)

Evaluate weighted conditions to produce a composite score.

Analytics json

Minimal example

actions:
  - scoring: {}

JSON

{
  "actions": [
    {
      "scoring": {}
    }
  ]
}

Contents

• Minimal example

• Fields

• Schema

Fields

Field	Type	Required	Description
description	string		describe this step.
condition	lua-expression (string)		Only run this action if the specified condition is met. Examples: 2 * count()
rules	Rules[]		Ordered scoring rules.
normalization	Normalization		Normalization strategy applied to the aggregated score. Allowed values: none, summation, average, percentile
output-field	field (string)		Field that receives the final score (defaults to ‘score’). Examples: data_field
max-score	number (string)		Optional cap applied after normalization (parsed as a floating point value). Examples: 42, 1.2e-10

Schema

• Rules Fields
• Normalization Options

Rules Fields

Field	Type	Required	Description
condition	lua-expression (string)	✅	Condition that determines whether the rule applies. Examples: 2 * count()
weight	number (string)	✅	Weight assigned to the rule when the condition is true (parsed as a floating point value). Examples: 42, 1.2e-10
label	string		Optional label recorded when the rule fires.
score	number (string)		Optional explicit score override instead of weight (parsed as a floating point value). Examples: 42, 1.2e-10

Normalization Options

Value	Description
none	None
summation	Summation
average	Average
percentile	Percentile