Order Error Rate

Order Error Rate: Percentage of orders with processing errors.

Formula

Order Error Rate = Orders with errors / Total orders × 100

Computable definition

The canonical formula in the GASP formula grammar. The MCP server compiles it to SQL over the datasets listed below.

count_distinct(field.order_id where in_period(field.order_completed_at) and field.has_error = true) / count_distinct(field.order_id where in_period(field.order_completed_at))

Unit: percent (the formula yields an unscaled ratio)

Data requirements

Grain: Per event · Frequency: Per transaction · Aggregation: event · Staged: no · Main source: Billing.

Field	Dataset	Type
`has_error`	order	boolean
`order_completed_at`	order	timestamp
`order_id`	order	string
`snapshot_date`	order	date

Example SQL (Postgres)

SELECT (CAST((SELECT COUNT(DISTINCT order_id) FROM order WHERE snapshot_date = :period_end AND ((order_completed_at >= :period_start AND order_completed_at < (:period_end + INTERVAL '1 day')) AND has_error = TRUE)) AS DOUBLE PRECISION) / NULLIF((SELECT COUNT(DISTINCT order_id) FROM order WHERE snapshot_date = :period_end AND (order_completed_at >= :period_start AND order_completed_at < (:period_end + INTERVAL '1 day'))), 0)) AS order_error_rate

From an agent: with the GASP MCP server, call lookup_metric({ "name": "Order Error Rate" }) or generate_query({ "metric": "Order Error Rate", "adapter": "<your adapter JSON>" }).

What It Tells You

Process quality and system reliability.

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