Value Set Checks
Value in Set and Value Not In Set tests.
Two variants: check whether the value in a column belongs to, or doesn't belong to, a defined set of acceptable values. These apply to string-type columns.
Value In — a row fails if its value is not in the configured set. Use this to enforce an allowed list.
Value Not In — a row fails if its value is in the configured set. Use this to block specific known-bad values.
When to use it
Value In — A business expects a
countrycolumn to only contain "US", "CA", "MX". A Value In check using this set flags any value outside it.Value Not In — A signup form allows free-text entry, and upstream systems occasionally write placeholder values like "N/A", "UNKNOWN", "TBD" into the
countrycolumn. A daily Value Not In check using this set catches any newly ingested row carrying a placeholder.
What's configurable
Schedule — fixed recurring, or Manual (requires Full Table Scan if Manual).
Scan Method — Full Table Scan or Incremental Scan.
Values — the set of values to check against. There's no separate Threshold field — the value set alone determines whether a row passes or fails.
Tolerance (optional) — how many, or what percentage of, failing rows are allowed.

Worked example — Value In
Asset:
userstable, columncountryValues: US, CA, MX
Tolerance: not set
Resulting rule: "An incident will be created when any row fails." (A row fails here when its value is not one of US, CA, or MX.)
Worked example — Value Not In
Asset:
userstable, columncountryValues: N/A, UNKNOWN, TBD
Schedule: Daily
Tolerance: Absolute — 10
Resulting rule: "An incident will be created when more than 10 rows fail." (A row fails here when its value is one of the placeholder values.)
Notes
Changing the schedule or scan method later is a destructive change (it creates a new monitor version).
Changing the list of values is also treated as destructive, since it redefines what a passing row looks like — even though it might feel like a minor tweak. Adjusting only the tolerance value is not destructive.
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