List filters (BETA)

If you select a SNAPSHOT or DYNAMIC list processing type when creating a list, use filters to determine which records are members of the list.

  • List filters have conditional logic that is defined by filter branches which have AND or OR operation types. This is defined by the filterBranchType parameter.
  • Within these branches, there are groups of individual filters that contain logic to assess records to determine if they should be included in the list. These are defined by the filterType parameter. 
  • Filter branches can also have nested filter branches.

Filters

There are a variety of different filter types that can be used to build out filters in a list's filter definition. These filters types can be used together in different combinations to construct the logic that is needed for a particular list definition structure. 

HubSpot uses PASS/FAIL logic with filters to determine if a record should be in a list. If a record passes all filters, it will be a member of the list.

Filter Evaluation Steps

To determine which records pass a list's filters, the following steps occur in order:

  1. Select or fetch the relevant records based on the filter selected. For example, the property values for all records being evaluated for a property filter. 
  2. If applicable, use the pruningRefineBy parameter to refine the data to a specific time range (see Refine By Operation section). 
  3. Apply the filtering rules against the refined data to determine if the records PASS or FAIL. For example, if the filter "First Name is equal to "John"" is selected, PASS all records that have "John" for their First Name contact property.
  4. If applicable, use the coalescingRefineBy parameter to further refine the data to a specific number of occurrences. For example, the filter "contact has filled out a form at least 2 times". 
    • If a coalescingRefineBy parameter is present, then PASS records that meet the number of occurrences selected.
    • If no coalescingRefineBy parameter is present, then records PASS or FAIL based on the criteria set in step 3. 

Filter Branches

A filter branch is a data structure used to build out the conditional logic of a list's definition. Filter branches are defined by a specific type, an operator, a list of filters, and a list of sub-branches.

The filter branch's operator OR or AND dictate how the filter branch will be evaluated relative to the rest of the branches. The list of filters and sub-filter branches determine which records will be members of a list.

  • If the filter branch has an AND operator, then the record is accepted by the branch if it passes all the branch's filters and is accepted by all the sub-filter branches.
  • If the filter branch has an OR operator, then the record is accepted by the branch if it passes any of the branch's filters or is accepted by any of the branch's sub-filter branches. 

A record is a member of a list if it is accepted by the root filter branch in the list definition. 

Base Filter Branch Structure

All filter definitions must start with a root-level OR filterBranchType (see "Filter Branch Types" for more details). This root level OR filter branch must then have one or more AND sub-filter branches.

The root-level OR filter branch can be thought of as the parent filter branch while the AND sub-filter branches can be thought of as child filter groups. Together, these branches make up the base filter brunch structure.

{ "filterBranches": [ { "filterBranches": [], "filterBranchType": "AND", "filters": [ // can have filters here ] }, // can have more filterBranches here ], "filterBranchType": "OR", "filters": [] }

For example, to create a list of contacts who have the first name "John" OR do not have the last name "Smith", the POST body would be:

{ "filterBranchType": "OR", "filters": [], "filterBranches": [ { "filterBranchType": "AND", "filters": [ { "filterType": "PROPERTY", "property": "firstname", "operation": { "operationType": "MULTISTRING", "operator": "IS_EQUAL_TO", "values": ["John"] } } ], "filterBranches": [] }, { "filterBranchType": "AND", "filters": [ { "filterType": "PROPERTY", "property": "lastname", "operation": { "operationType": "MULTISTRING", "operator": "IS_NOT_EQUAL_TO", "values": ["Smith"] } } ], "filterBranches": [] } ] }

In the above example, there is one parent OR filterBranchType parameter with two nested AND filterBranchType parameters. The nested filter branches each have one filterType that sets the criteria for the list.

The two filterType parameters are nested within AND filter branches, rather than directly within an OR filter branch. This structure is enforced by HubSpot's API so that the list's filters can be properly rendered in the HubSpot user interface.

In the HubSpot user interface, the above code would look like the image below. Any contacts that meet either of the criteria will be a member of the list. 

and-or-list

 

To create a list of contacts who have the first name "John" and the last name "Smith":

{ "filterBranchType": "OR", "filters": [], "filterBranches": [ { "filterBranchType": "AND", "filters": [ { "filterType": "PROPERTY", "property": "firstname", "operation": { "operationType": "MULTISTRING", "operator": "IS_EQUAL_TO", "values": ["John"] } }, { "filterType": "PROPERTY", "property": "lastname", "operation": { "operationType": "MULTISTRING", "operator": "IS_EQUAL_TO", "values": ["Smith"] } } ], "filterBranches": [] } ] }

In the above example, there is one parent OR filterBranchType with one nested AND filterBranchType. The AND filterBranchType has two filterType parameters, one for each criteria. 

In the HubSpot user interface, the above code would look like the image below. Any contacts that meet the criteria will be a member of the list. 

 

and-list

 

Filtering on events and associated objects

There are two special versions of AND filterBranchType parameters:

  • UNIFIED_EVENTS: used to filter on events.
  • ASSOCIATION: used to filter on records that are associated with the primary record being evaluated.

These branches should be used within an AND filter branch. For example: 

{ "filterBranches": [ { "filterBranches": [ { "filterBranchType": "UNIFIED_EVENTS", "filterBranchOperator": "AND", "filters": [ // must have one or more filters here ] // additional UNIFIED_EVENTS filter branch details omitted }, { "filterBranchType": "ASSOCIATION", "filterBranchOperator": "AND", "filters": [ // may have one or more filters here ], "filterBranches": [ // may have another ASSOCIATION branch here if filtering based on line item properties from a contact list ], // additional ASSOCIATION filter branch details omitted } ], "filterBranchOperator": "AND", "filterBranchType": "AND", "filters": [ // can have filters here ] }, // can have more filterBranches here ], "filterBranchOperator": "OR", "filterBranchType": "OR", "filters": [] }

Filter Branch Types

Below, review the different filterBranchType parameters that can be used to construct your list's filter definition structure.

OR Filter Branch

Begin your filter definition structure with an OR filterBranchType. It is used to apply OR conditional logic against records that are accepted by the nested AND filter branches. 

OR filter branches:

  • Must have one or more AND type sub-filter branches.
  • Cannot have any filters.

If a record is accepted by any of its nested filter branches, an OR filter branch will accept the record as well. 

{ "filterBranchType": "OR", "filterBranches": [], // One or more nested AND filter branches "filters": [] // Zero filters }

AND Filter Branch

The AND filterBranchType is used as a nested filter branch within the parent OR filter branch. All filter definitions must have at least one AND filter branch for it to be valid. It is used to apply AND conditional logic against the records that pass evaluation as defined by its filters and have also been accepted by nested filter branches. 

AND filter branches:

  • Can have zero or more filters.
  • Can have zero or more nested UNIFIED_EVENTS and/or ASSOCIATION filterBranchType parameters.
An AND filter branch accepts a record if the record is accepted by all of its nested filter branches and the record passes all filters in the filter branch. 
{ "filterBranchType": "AND", "filterBranches": [], // Zero or more nested UNIFIED_EVENTS or ASSOCIATION filter branches "filters": [] // Zero or more filters }

UNIFIED_EVENTS Filter Branch

The UNIFIED_EVENTS filterBranchType can only be used as a nested filter branch within an AND filterBranchType. It is used to determine which records have or have not completed a given unified event. 

UNIFIED_EVENTS type filter branches:

  • Can have one or more PROPERTY type filters.
  • Cannot have any additional filter branches.

A UNIFIED_EVENTS filter branch accepts a record if the record passes all filters on the filter branch and the criteria defined by the UNIFIED_EVENTS filter branch.

{ "filterBranchType": "UNIFIED_EVENTS", "filterBranches": [], // Zero filter branches "filters": [], // Zero or more filters "eventTypeId": "0-1", "operator": "HAS_COMPLETED" }
Use this table to describe parameters / fields
ParameterAccepted Values
operator

HAS_COMPLETED, HAS_NOT_COMPLETED

ASSOCIATION Filter Branch

The ASSOCIATION filterBranchType can only be used as a nested filter branch within an AND filterBranchType. It is used to filter on records which are associated with the primary record being evaluated.

ASSOCIATION filter branches:

  • Must have one or more filters.
  • Cannot have any additional nested filter branches.

An ASSOCIATION filter branch accepts a record if it is accepted by all of its nested filter branches and if the record PASSES all filters of the filter branch.

You can only have additional filterBranches in the case of a CONTACT to LINE_ITEM association. 

{ "filterBranchType": "ASSOCIATION", "filterBranches": [], // Zero or one nested ASSOCIATION filter branches "filters": [], // Zero or more filters "objectTypeId": "0-1", "operator": "IN_LIST", "associationTypeId": 280, "associationCategory": "HUBSPOT_DEFINED" }
Use this table to describe parameters / fields
ParameterAccepted Values
operator

IN_LIST

associationCategory

HUBSPOT_DEFINED, USER_DEFINED, INTEGRATOR_DEFINED

Filter Types

Review the table below for the different types of filters that can be used. The filterType parameter is used to define the filter within the filterBranch. 

Use this table to describe parameters / fields
ParameterDescription
ADS_TIME

Evaluates whether a contact has seen any ads in the timeframe defined by the pruningRefineBy parameter.

ADS_SEARCH

Evaluates whether a contact has performed the ad interactions as defined by the filter.

CTA

Evaluates whether a contact has or has not interacted with a specific call-to-action as defined by the filter.

EMAIL_EVENT

Evaluate the opt-in status of a contact for specific email subscriptions as defined by the filter.

EVENT

Evaluates whether a contact has or does not have a specific event as defined by the filter. 

FORM_SUBMISSION

Evaluates whether a contact has or has not filled out a specific form or any form as defined by the filter.

FORM_SUBMISSION_ON_PAGE

Evaluates whether a contact  has or has not filled out a specific or any form on a specific page as defined by the filter.

IN_LIST

Evaluates whether a record is or is not a member of a specific list, import, or workflow as defined by the filter.

PAGE_VIEW

Evaluates whether a contact has or has not viewed a specific page as defined by the filter.

PRIVACY

Evaluates whether a contact does or does not have privacy consent for a specific privacy type as defined by the filter.

PROPERTY

Evaluates whether a record’s property value satisfies the property filter operation as defined by the filter. See the Property Filter Operation section for more details.

SURVEY_MONKEY

Evaluates whether a contact has or has not responded to a specific Survey Monkey survey as defined by the filter.

SURVEY_MONKEY_VALUE

Evaluates whether a contact has or has not responded to a specific Survey Monkey survey’s question with a specified value as defined by the filter.

WEBINAR

Evaluates whether a contact has or has not registered or attended any webinars or a specific webinar as defined by the filter.

INTEGRATION_EVENT

Integration event filters can be used to filter specific contacts based on whether or not they have interacted with integration events that have properties as specified by the filter lines.

Property Filter Operations

Certain filters use the operation parameter to apply additional filtering criteria against a record's property value to  determine if the record PASSES or FAILS the filter. PROPERTY and SURVEY_MONKEY_VALUE filters can use the operation parameter. There are a variety of operations that can be used in the definition of these filters. 

Use this table to describe parameters / fields
ParameterDescription
ALL_PROPERTY

Used to determine whether a property value is known or is unknown as defined by the property operation.

BOOL

Used to determine whether a current (or historical) boolean property value is or is not (or has or has not) equaled a specific value.

ENUMERATION

Used to determine whether an enumeration/multi-select property value is any of, is none of, is exactly, is not exactly, contains all of, does not contain all of, has ever been any of, has never been any of, has ever been exactly, has never been exactly, has ever contained all, or has never contained all of a given set of values as defined by the property operation.

MULTISTRING

Used to determine whether a string property value is equal to, is not equal to, contains, does not contain, starts with, or ends with any of a given set of values as defined by the property operation.

NUMBER

Used to determine whether a current (or historical) number property value is or is not (or has or has not) equaled a specific value as defined by the property operation.

STRING

Used to determine whether a current (or historical) string property value is or is not (or has or has not) equaled a specific value as defined by the property operation.

TIME_POINT

Used to determine if a property has been updated before or after a specific time. That time can be specified as a specific date or relative to the current day. This operation also allows the comparison of two properties or their last updated time.

TIME_RANGED

Used to determine if a property has been updated between or outside of two specific times. These times can be specified as a specific date or relative to the current day. 

TIME_POINT and TIME_RANGED examples

Below, review some examples when using the TIME_POINT and TIME_RANGED parameter. These parameters can be used in both time-referenced and property-referenced requests. 

Is equal to date

The request below filters for Last activity date is equal to 03/11/2024 (EDT). 

{ "name": "Sample Date Equal", "objectTypeId": "0-1", "processingType": "DYNAMIC", "filterBranch": { "filterBranches": [ { "filterBranches": [], "filters": [ { "property": "notes_last_updated", "operation": { "operator": "IS_BETWEEN", "includeObjectsWithNoValueSet": false, "lowerBoundEndpointBehavior": "INCLUSIVE", "upperBoundEndpointBehavior": "INCLUSIVE", "propertyParser": "VALUE", "lowerBoundTimePoint": { "timeType": "DATE", "timezoneSource": "CUSTOM", "zoneId": "US/Eastern", "year": 2024, "month": 3, "day": 11, "hour": 0, "minute": 0, "second": 0, "millisecond": 0 }, "upperBoundTimePoint": { "timeType": "DATE", "timezoneSource": "CUSTOM", "zoneId": "US/Eastern", "year": 2024, "month": 3, "day": 11, "hour": 23, "minute": 59, "second": 59, "millisecond": 999 }, "type": "TIME_RANGED", "operationType": "TIME_RANGED" }, "filterType": "PROPERTY" } ], "filterBranchType": "AND", "filterBranchOperator": "AND" } ], "filters": [], "filterBranchOperator": "OR", "filterBranchType": "OR" }

Is between or is not between dates

The example below filters for Last activity date is between 03/04/2024 (EST) and 03/11/2024 (EDT). 

To filter for Last activity date is not between 03/04/2024 (EST) and 03/11/2023 (EDT), change the operator parameter to IS_NOT_BETWEEN. 

{ "name": "Sample Date Between", "objectTypeId": "0-1", "processingType": "DYNAMIC", "filterBranch": { "filterBranches": [ { "filterBranches": [], "filters": [ { "property": "notes_last_updated", "operation": { "operator": "IS_BETWEEN", "includeObjectsWithNoValueSet": false, "lowerBoundEndpointBehavior": "INCLUSIVE", "upperBoundEndpointBehavior": "INCLUSIVE", "propertyParser": "VALUE", "lowerBoundTimePoint": { "timeType": "DATE", "timezoneSource": "CUSTOM", "zoneId": "US/Eastern", "year": 2024, "month": 3, "day": 4, "hour": 0, "minute": 0, "second": 0, "millisecond": 0 }, "upperBoundTimePoint": { "timeType": "DATE", "timezoneSource": "CUSTOM", "zoneId": "US/Eastern", "year": 2024, "month": 3, "day": 11, "hour": 23, "minute": 59, "second": 59, "millisecond": 999 }, "type": "TIME_RANGED", "operationType": "TIME_RANGED" }, "filterType": "PROPERTY" } ], "filterBranchType": "AND", "filterBranchOperator": "AND" } ], "filters": [], "filterBranchOperator": "OR", "filterBranchType": "OR" } }

In Last X Number of Days

The example below filters for Last activity date is less than 3 days ago. 

{ "name": "Sample Date Last 3 days", "objectTypeId": "0-1", "processingType": "DYNAMIC", "filterBranch": { "filterBranches": [ { "filterBranches": [], "filters": [ { "property": "notes_last_updated", "operation": { "operator": "IS_BETWEEN", "includeObjectsWithNoValueSet": false, "lowerBoundEndpointBehavior": "INCLUSIVE", "upperBoundEndpointBehavior": "INCLUSIVE", "propertyParser": "VALUE", "lowerBoundTimePoint": { "timeType": "INDEXED", "timezoneSource": "CUSTOM", "zoneId": "US/Eastern", "indexReference": { "referenceType": "TODAY" }, "offset": { "days": -3 } }, "upperBoundTimePoint": { "timeType": "INDEXED", "timezoneSource": "CUSTOM", "zoneId": "US/Eastern", "indexReference": { "referenceType": "NOW" } }, "type": "TIME_RANGED", "operationType": "TIME_RANGED" }, "filterType": "PROPERTY" } ], "filterBranchType": "AND", "filterBranchOperator": "AND" } ], "filters": [], "filterBranchOperator": "OR", "filterBranchType": "OR" } }

In Next X Number of Days

The example below filters for Last activity date is less than 5 days from now. 

{ "name": "Sample Date Next 5 Days", "objectTypeId": "0-1", "processingType": "DYNAMIC", "filterBranch": { "filterBranches": [ { "filterBranches": [], "filters": [ { "property": "notes_last_updated", "operation": { "operator": "IS_BETWEEN", "includeObjectsWithNoValueSet": false, "lowerBoundEndpointBehavior": "INCLUSIVE", "upperBoundEndpointBehavior": "INCLUSIVE", "propertyParser": "VALUE", "lowerBoundTimePoint": { "timeType": "INDEXED", "timezoneSource": "CUSTOM", "zoneId": "US/Eastern", "indexReference": { "referenceType": "NOW" } }, "upperBoundTimePoint": { "timeType": "INDEXED", "timezoneSource": "CUSTOM", "zoneId": "US/Eastern", "indexReference": { "referenceType": "TODAY" }, "offset": { "days": 5 } }, "type": "TIME_RANGED", "operationType": "TIME_RANGED" }, "filterType": "PROPERTY" } ], "filterBranchType": "AND", "filterBranchOperator": "AND" } ], "filters": [], "filterBranchOperator": "OR", "filterBranchType": "OR" } }

Updated or Not Updated in the Last X Days

The example below filters for Last activity date updated in last 7 days. 

To filter for Last activity date not updated in last 7 days, change the operator parameter to IS_NOT_BETWEEN.  

{ "name": "Sample Date Updated Last 7 Days", "objectTypeId": "0-1", "processingType": "DYNAMIC", "filterBranch": { "filterBranches": [ { "filterBranches": [], "filters": [ { "property": "notes_last_updated", "operation": { "operator": "IS_BETWEEN", "includeObjectsWithNoValueSet": false, "lowerBoundEndpointBehavior": "INCLUSIVE", "upperBoundEndpointBehavior": "INCLUSIVE", "propertyParser": "UPDATED_AT", "lowerBoundTimePoint": { "timeType": "INDEXED", "timezoneSource": "CUSTOM", "zoneId": "US/Eastern", "indexReference": { "referenceType": "TODAY" }, "offset": { "days": -7 } }, "upperBoundTimePoint": { "timeType": "INDEXED", "timezoneSource": "CUSTOM", "zoneId": "US/Eastern", "indexReference": { "referenceType": "NOW" } }, "type": "TIME_RANGED", "operationType": "TIME_RANGED" }, "filterType": "PROPERTY" } ], "filterBranchType": "AND", "filterBranchOperator": "AND" } ], "filters": [], "filterBranchOperator": "OR", "filterBranchType": "OR" } }

Is After Date

Is Before Date

The example below filters for Last activity date is after 03/04/2024 (EST). 

{ "name": "Sample Date After", "objectTypeId": "0-1", "processingType": "DYNAMIC", "filterBranch": { "filterBranches": [ { "filterBranches": [], "filters": [ { "property": "notes_last_updated", "operation": { "operator": "IS_AFTER", "includeObjectsWithNoValueSet": false, "timePoint": { "timeType": "DATE", "timezoneSource": "CUSTOM", "zoneId": "US/Eastern", "year": 2024, "month": 3, "day": 4, "hour": 23, "minute": 59, "second": 59, "millisecond": 999 }, "endpointBehavior": "EXCLUSIVE", "propertyParser": "VALUE", "type": "TIME_POINT", "operationType": "TIME_POINT" }, "filterType": "PROPERTY" } ], "filterBranchType": "AND", "filterBranchOperator": "AND" } ], "filters": [], "filterBranchOperator": "OR", "filterBranchType": "OR" } }

The example below filters for Last activity date is before 03/04/2024 (EST). 

{ "name": "Sample Date Before", "objectTypeId": "0-1", "processingType": "DYNAMIC", "filterBranch": { "filterBranches": [ { "filterBranches": [], "filters": [ { "property": "notes_last_updated", "operation": { "operator": "IS_BEFORE", "includeObjectsWithNoValueSet": false, "timePoint": { "timeType": "DATE", "timezoneSource": "CUSTOM", "zoneId": "US/Eastern", "year": 2024, "month": 3, "day": 4, "hour": 00, "minute": 00, "second": 00, "millisecond": 000 }, "endpointBehavior": "EXCLUSIVE", "propertyParser": "VALUE", "type": "TIME_POINT", "operationType": "TIME_POINT" }, "filterType": "PROPERTY" } ], "filterBranchType": "AND", "filterBranchOperator": "AND" } ], "filters": [], "filterBranchOperator": "OR", "filterBranchType": "OR" } }

Is Relative to Today

The example below can either represent Last activity date is more than x days from now or Last activity date is more than x days ago. 

To filter for the latter, set the value for the offset parameter to <=0.

{ "name": "Sample Days From Now", "objectTypeId": "0-1", "processingType": "DYNAMIC", "filterBranch": { "filterBranches": [ { "filterBranches": [], "filters": [ { "property": "notes_last_updated", "operation": { "operator": "IS_AFTER", "includeObjectsWithNoValueSet": false, "timePoint": { "timeType": "INDEXED", "timezoneSource": "CUSTOM", "zoneId": "US/Eastern", "indexReference": { "referenceType": "TODAY" }, "offset": { "days": 2 } }, "endpointBehavior": "EXCLUSIVE", "propertyParser": "VALUE", "type": "TIME_POINT", "operationType": "TIME_POINT" }, "filterType": "PROPERTY" } ], "filterBranchType": "AND", "filterBranchOperator": "AND" } ], "filters": [], "filterBranchOperator": "OR", "filterBranchType": "OR" } }

Is Before or After another property (value or last updated) 

The example below compares the values where Last activity date is before Latest Open Lead Date. 

To filter for Last activity date is after Latest Open Lead Date: set the operator value to IS_AFTER.

To filter for when the Latest Open Lead Date was updated: set the referenceType value to UPDATED_AT. 

{ "name": "Sample Property Before", "objectTypeId": "0-1", "processingType": "DYNAMIC", "filterBranch": { "filterBranches": [ { "filterBranches": [], "filters": [ { "property": "notes_last_updated", "operation": { "operator": "IS_BEFORE", "includeObjectsWithNoValueSet": false, "timePoint": { "timeType": "PROPERTY_REFERENCED", "timezoneSource": "CUSTOM", "zoneId": "US/Eastern", "property": "hs_latest_open_lead_date", "referenceType": "VALUE" }, "endpointBehavior": "EXCLUSIVE", "propertyParser": "VALUE", "type": "TIME_POINT", "operationType": "TIME_POINT" }, "filterType": "PROPERTY" } ], "filterBranchType": "AND", "filterBranchOperator": "AND" } ], "filters": [], "filterBranchType": "OR", "filterBranchOperator": "OR" } }

Refine By Operation

There are two types of refine by operations that can be used in certain filters:

  • pruningRefineBy: refine the data set to a particular timeframe.
  • coalescingRefineBy: determines whether the record PASSES the filter the number of times defined. 
Filters only support up to one refine by operation at a time, even if some filters allow for both a coalescing and pruning refine by operation to be passed in. This is enforced by HubSpot's API. 

Pruning Refine By Operations

Pruning refine by operations are used to narrow down the dataset that will be used for filter evaluation by refining the dataset to a particular timeframe. Pruning refine by operations are classified into two types: relative and absolute.

  • Relative: narrow the dataset down based on a time offset of a number of days or weeks in the past or in the future.
  • Absolute: narrow the dataset down based on the data being before or after a specific timestamp

For both relative and absolute refine by operations, there are ranged and comparative derivatives.

Absolute Comparative Timestamp

Used to narrow the relevant dataset down based on whether the timestamp of the data being evaluated is before or after a specific timestamp as defined by the refine by operation.

{ "type": "ABSOLUTE_COMPARATIVE", "comparison": "BEFORE", "timestamp": 1698915170126 }
Use this table to describe parameters / fields
ParameterDescription
comparison

Whether the data's timestamp is before or after the defined timestamp. Values include:

BEFORE, AFTER

Absolute Ranged Timestamp

Used to narrow the relevant dataset down based on whether the timestamp of the data being evaluated is between or is not between an upper and lower bound timestamp as defined by the refine by operation.

{ "type": "ABSOLUTE_RANGED", "rangeType": "BETWEEN", "lowerTimestamp": 1698915170126, "upperTimestamp": 1682406908449 }
Use this table to describe parameters / fields
ParameterDescription
rangeType

Whether the data's timestamp is between or not between the defined lowerTimestampand upperTimestamp. Values include:

BETWEEN, NOT_BETWEEN

Relative Comparative Timestamp

Used to narrow the relevant dataset down based on whether the timestamp of the data being evaluated is before or after a certain number of days or weeks in the past or future relative to the current timestamp as defined by the refine by operation.

{ "type": "RELATIVE_COMPARATIVE", "comparison": "BEFORE", "timeOffset": [ "offsetDirection": "PAST", "timeUnit": "DAYS", "amount": 4 ], }
Use this table to describe parameters / fields
ParameterDescription
comparison

Whether the data's timestamp is before or after the defined timeOffset values. Values include: 

BEFORE, AFTER

offsetDirection

Values include:

PAST, FUTURE

timeUnit

Values include:

DAYS, WEEKS

amount

A number value. 

Relative Ranged Timestamp

Used to narrow the relevant dataset down based on whether the timestamp of the data being evaluated is between or is not between an upper and lower bound time offset relative to the current timestamp. The time offsets are a certain number of days or weeks in the past or the future as defined by the refine by operation.

{ "type": "RELATIVE_RANGED", "rangeType": "BETWEEN", "timeOffset": [ "offsetDirection": "PAST", "timeUnit": "DAYS", "amount": 4 ], }
Use this table to describe parameters / fields
ParameterDescription
rangeType

Whether the data's timestamp is between or not between the defined timeOffset values. Values include: 

BETWEEN, NOT_BETWEEN

offsetDirection

Values include:

PAST, FUTURE

timeUnit

Values include:

DAYS, WEEKS

amount

A number value. 

Coalescing Refine By Operations

Coalescing refine by operations are used once the filter criteria has been applied to the relevant dataset. The only coalescing refine by operation supported by the Lists API is a “number of occurrences” operation that determines whether an object in the dataset PASSED the filter evaluation at least a minimum number of times and less than a maximum number of times.

{ "type": "NUM_OCCURRENCES", "minOccurrences": 1, // Optional "maxOccurrences": 4 // Optional }
Use this table to describe parameters / fields
ParameterDescription
NUM_OCCURRENCES

Used to determine whether an object in the relevant dataset PASSED the filter evaluation at least a minimum number of times (or zero times if a minimum is not provided) and at most a maximum number of times (or any number of times if a maximum is not provided) as defined by the refine by operation.
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