Using the Falcon Complete Dashboard service collection

Uber class support Service class support Documentation Version Page Updated

Operation ID

Description

AggregateAlerts
PEP 8	aggregate_alerts

Retrieve aggregate alerts values based on the matched filter

AggregateAllowList
PEP 8	aggregate_allow_list

Retrieve aggregate allowlist ticket values based on the matched filter

AggregateBlockList
PEP 8	aggregate_block_list

Retrieve aggregate blocklist ticket values based on the matched filter

AggregateDetections
PEP 8	aggregate_detections

Retrieve aggregate detection values based on the matched filter

AggregateDeviceCountCollection
PEP 8	aggregate_device_count_collection

Retrieve aggregate host/devices count based on the matched filter

AggregateEscalations
PEP 8	aggregate_escalations

Retrieve aggregate escalation ticket values based on the matched filter

AggregateFCIncidents
PEP 8	aggregate_fc_incidents

Retrieve aggregate incident values based on the matched filter

AggregateRemediations
PEP 8	aggregate_remediations

Retrieve aggregate remediation ticket values based on the matched filter

AggregatePreventionPolicy
PEP 8	aggregate_prevention_policy

Retrieve aggregate prevention policy values based on the matched filter

AggregateSensorUpdatePolicy
PEP 8	aggregate_sensor_update_policy

Retrieve aggregate sensor update policy values based on the matched filter

AggregateSupportIssues
PEP 8	aggregate_support_issues

Retrieve aggregate support issue values based on the matched filter

AggregateTotalDeviceCounts
PEP 8	aggregate_total_device_counts

Retrieve aggregate total host/devices based on the matched filter

QueryAlertIdsByFilter
PEP 8	query_alert_ids_by_filter

Retrieve Alert IDs that amtch the provided FQL filter criteria with scrolling enabled

QueryAllowListFilter
PEP 8	query_allow_list_filter

Retrieve allowlist tickets that match the provided filter criteria with scrolling enabled

QueryBlockListFilter
PEP 8	query_block_list_filter

Retrieve block listtickets that match the provided filter criteria with scrolling enabled

QueryDetectionIdsByFilter
PEP 8	query_detection_ids_by_filter

Retrieve DetectionsIds that match the provided FQL filter, criteria with scrolling enabled

GetDeviceCountCollectionQueriesByFilter
PEP 8	get_device_count_collection_queries_by_filter

Retrieve device count collection Ids that match the provided FQL filter, criteria with scrolling enabled

QueryEscalationsFilter
PEP 8	query_escalations_filter

Retrieve escalation tickets that match the provided filter criteria with scrolling enabled

QueryIncidentIdsByFilter
PEP 8	query_incident_ids_by_filter

Retrieve incidents that match the provided filter criteria with scrolling enabled

QueryRemediationsFilter
PEP 8	query_remediations_filter

Retrieve remediation tickets that match the provided filter criteria with scrolling enabled

Passing credentials

WARNING

client_id and client_secret are keyword arguments that contain your CrowdStrike API credentials. Please note that all examples below do not hard code these values. (These values are ingested as strings.)

CrowdStrike does not recommend hard coding API credentials or customer identifiers within source code.

AggregateAlerts

Retrieve aggregate alerts values based on the matched filter

PEP8 method name

aggregate_alerts

Endpoint

Method	Route
	`/falcon-complete-dashboards/aggregates/alerts/GET/v1`

Required Scope

falcon-complete-dashboard:read

Content-Type

Consumes: application/json
Produces: application/json

Keyword Arguments

Name	Type	Data type	Description
body	body	list of dictionaries	Full body payload in JSON format.
date_ranges	body	list of dictionaries	Applies to date_range aggregations. Example: [ { "from": "2016-05-28T09:00:31Z", "to": "2016-05-30T09:00:31Z" }, { "from": "2016-06-01T09:00:31Z", "to": "2016-06-10T09:00:31Z" } ]
exclude	body	string	Elements to exclude.
field	body	string	The field on which to compute the aggregation.
filter	body	string	FQL syntax formatted string to use to filter the results.
from	body	integer	Starting position.
include	body	string	Elements to include.
interval	body	string	Time interval for date histogram aggregations. Valid values include: `year` `month` `week` `day` `hour` `minute`
max_doc_count	body	integer	Only return buckets if values are less than or equal to the value here.
min_doc_count	body	integer	Only return buckets if values are greater than or equal to the value here.
missing	body	string	Missing is the value to be used when the aggregation field is missing from the object. In other words, the missing parameter defines how documents that are missing a value should be treated. By default they will be ignored, but it is also possible to treat them as if they had a value.
name	body	string	Name of the aggregate query, as chosen by the user. Used to identify the results returned to you.
q	body	string	Full text search across all metadata fields.
ranges	body	list of dictionaries	Applies to range aggregations. Ranges values will depend on field. For example, if `max_severity` is used, ranges might look like: [ { "From": 0, "To": 70 }, { "From": 70, "To": 100 } ]
size	body	integer	The max number of term buckets to be returned.
sub_aggregates	body	list of dictionaries	A nested aggregation, such as: [ { "name": "max_first_behavior", "type": "max", "field": "first_behavior" } ] There is a maximum of 3 nested aggregations per request.
sort	body	string	FQL syntax string to sort bucket results. `_count` - sort by document count `_term` - sort by the string value alphabetically Supports `asc` and `desc` using `\|` format. Example: `_count\|desc`
time_zone	body	string	Time zone for bucket results.
type	body	string	Type of aggregation. Valid values include: `date_histogram` - Aggregates counts on a specified time interval. Requires use of “interval” field. `date_range` - Aggregates counts on custom defined date range buckets. Can include multiple ranges. (Similar to time series, but the bucket sizes are variable). Date formats to follow ISO 8601. `terms` - Buckets alerts by the value of a specified field. For example, if field used is scenario, then alerts will be bucketed by the various alert scenario names. `range` - Buckets alerts by specified (numeric) ranges of a specified field. For example, if doing a range aggregation on the max_severity field, the alerts will be counted by the specified ranges of severity. `cardinality` - Returns the count of distinct values in a specified field. `max` - Returns the maximum value of a specified field. `min` - Returns the minimum value of a specified field. `avg` - Returns the average value of the specified field. `sum` - Returns the total sum of all values for the specified field. `percentiles` - Returns the following percentiles for the specified field: `1`, `5`, `25`, `50`, `75`, `95`, `99`.

Usage

Service class example (PEP8 syntax)

from falconpy import CompleteDashboard

# Do not hardcode API credentials!
falcon = CompleteDashboard(client_id=CLIENT_ID,
                           client_secret=CLIENT_SECRET
                           )

date_ranges = [
    {
        "from": "2021-05-15T14:55:21.892315096Z",
        "to": "2021-05-17T13:42:16.493180643Z"
    }
]

ranges = [
    {
        "From": 1,
        "To": 100
    }
]

response = falcon.aggregate_alerts(date_ranges=date_ranges,
                                   exclude="string",
                                   field="string",
                                   filter="string",
                                   from=integer,
                                   include="string",
                                   interval="string",
                                   max_doc_count=integer,
                                   min_doc_count=integer,
                                   missing="string",
                                   name="string",
                                   q="string",
                                   ranges=ranges,
                                   size=integer,
                                   sort="string",
                                   time_zone="string",
                                   type="string"
                                   )
print(response)

Service class example (Operation ID syntax)

from falconpy import CompleteDashboard

# Do not hardcode API credentials!
falcon = CompleteDashboard(client_id=CLIENT_ID,
                           client_secret=CLIENT_SECRET
                           )

date_ranges = [
    {
        "from": "2021-05-15T14:55:21.892315096Z",
        "to": "2021-05-17T13:42:16.493180643Z"
    }
]

ranges = [
    {
        "From": 1,
        "To": 100
    }
]

response = falcon.AggregateAlerts(date_ranges=date_ranges,
                                  exclude="string",
                                  field="string",
                                  filter="string",
                                  from=integer,
                                  include="string",
                                  interval="string",
                                  max_doc_count=integer,
                                  min_doc_count=integer,
                                  missing="string",
                                  name="string",
                                  q="string",
                                  ranges=ranges,
                                  size=integer,
                                  sort="string",
                                  time_zone="string",
                                  type="string"
                                  )
print(response)

Uber class example

from falconpy import APIHarnessV2

# Do not hardcode API credentials!
falcon = APIHarnessV2(client_id=CLIENT_ID,
                      client_secret=CLIENT_SECRET
                      )

date_ranges = [
    {
        "from": "2021-05-15T14:55:21.892315096Z",
        "to": "2021-05-17T13:42:16.493180643Z"
    }
]

ranges = [
    {
        "From": 1,
        "To": 100
    }
]

BODY = [{
    "date_ranges": date_ranges,
    "exclude": "string",
    "field": "string",
    "filter": "string",
    "from": integer,
    "include": "string",
    "interval": "string",
    "max_doc_count": integer,
    "min_doc_count": integer,
    "missing": "string",
    "name": "string",
    "q": "string",
    "ranges": ranges,
    "size": integer,
    "sort": "string",
    "sub_aggregates": [
        null
    ]
    "time_zone": "string",
    "type": "string"
}]

response = falcon.command("AggregateAlerts", body=BODY)
print(response)

AggregateAllowList

Retrieve aggregate allowlist ticket values based on the matched filter

PEP8 method name

aggregate_allow_list

Endpoint

Method	Route
	`/falcon-complete-dashboards/aggregates/allowlist/GET/v1`

Required Scope

falcon-complete-dashboard:read

Content-Type

Consumes: application/json
Produces: application/json

Keyword Arguments

Name	Type	Data type	Description
body	body	list of dictionaries	Full body payload in JSON format.
date_ranges	body	list of dictionaries	Applies to date_range aggregations. Example: [ { "from": "2016-05-28T09:00:31Z", "to": "2016-05-30T09:00:31Z" }, { "from": "2016-06-01T09:00:31Z", "to": "2016-06-10T09:00:31Z" } ]
exclude	body	string	Elements to exclude.
field	body	string	The field on which to compute the aggregation.
filter	body	string	FQL syntax formatted string to use to filter the results.
from	body	integer	Starting position.
include	body	string	Elements to include.
interval	body	string	Time interval for date histogram aggregations. Valid values include: `year` `month` `week` `day` `hour` `minute`
max_doc_count	body	integer	Only return buckets if values are less than or equal to the value here.
min_doc_count	body	integer	Only return buckets if values are greater than or equal to the value here.
missing	body	string	Missing is the value to be used when the aggregation field is missing from the object. In other words, the missing parameter defines how documents that are missing a value should be treated. By default they will be ignored, but it is also possible to treat them as if they had a value.
name	body	string	Name of the aggregate query, as chosen by the user. Used to identify the results returned to you.
q	body	string	Full text search across all metadata fields.
ranges	body	list of dictionaries	Applies to range aggregations. Ranges values will depend on field. For example, if `max_severity` is used, ranges might look like: [ { "From": 0, "To": 70 }, { "From": 70, "To": 100 } ]
size	body	integer	The max number of term buckets to be returned.
sub_aggregates	body	list of dictionaries	A nested aggregation, such as: [ { "name": "max_first_behavior", "type": "max", "field": "first_behavior" } ] There is a maximum of 3 nested aggregations per request.
sort	body	string	FQL syntax string to sort bucket results. `_count` - sort by document count `_term` - sort by the string value alphabetically Supports `asc` and `desc` using `\|` format. Example: `_count\|desc`
time_zone	body	string	Time zone for bucket results.
type	body	string	Type of aggregation. Valid values include: `date_histogram` - Aggregates counts on a specified time interval. Requires use of “interval” field. `date_range` - Aggregates counts on custom defined date range buckets. Can include multiple ranges. (Similar to time series, but the bucket sizes are variable). Date formats to follow ISO 8601. `terms` - Buckets alerts by the value of a specified field. For example, if field used is scenario, then alerts will be bucketed by the various alert scenario names. `range` - Buckets alerts by specified (numeric) ranges of a specified field. For example, if doing a range aggregation on the max_severity field, the alerts will be counted by the specified ranges of severity. `cardinality` - Returns the count of distinct values in a specified field. `max` - Returns the maximum value of a specified field. `min` - Returns the minimum value of a specified field. `avg` - Returns the average value of the specified field. `sum` - Returns the total sum of all values for the specified field. `percentiles` - Returns the following percentiles for the specified field: `1`, `5`, `25`, `50`, `75`, `95`, `99`.

Usage

Service class example (PEP8 syntax)

from falconpy import CompleteDashboard

# Do not hardcode API credentials!
falcon = CompleteDashboard(client_id=CLIENT_ID,
                           client_secret=CLIENT_SECRET
                           )

date_ranges = [
    {
        "from": "2021-05-15T14:55:21.892315096Z",
        "to": "2021-05-17T13:42:16.493180643Z"
    }
]

ranges = [
    {
        "From": 1,
        "To": 100
    }
]

response = falcon.aggregate_allow_list(date_ranges=date_ranges,
                                       exclude="string",
                                       field="string",
                                       filter="string",
                                       from=integer,
                                       include="string",
                                       interval="string",
                                       max_doc_count=integer,
                                       min_doc_count=integer,
                                       missing="string",
                                       name="string",
                                       q="string",
                                       ranges=ranges,
                                       size=integer,
                                       sort="string",
                                       time_zone="string",
                                       type="string"
                                       )
print(response)

Service class example (Operation ID syntax)

from falconpy import CompleteDashboard

# Do not hardcode API credentials!
falcon = CompleteDashboard(client_id=CLIENT_ID,
                           client_secret=CLIENT_SECRET
                           )

date_ranges = [
    {
        "from": "2021-05-15T14:55:21.892315096Z",
        "to": "2021-05-17T13:42:16.493180643Z"
    }
]

ranges = [
    {
        "From": 1,
        "To": 100
    }
]

response = falcon.AggregateAllowList(date_ranges=date_ranges,
                                     exclude="string",
                                     field="string",
                                     filter="string",
                                     from=integer,
                                     include="string",
                                     interval="string",
                                     max_doc_count=integer,
                                     min_doc_count=integer,
                                     missing="string",
                                     name="string",
                                     q="string",
                                     ranges=ranges,
                                     size=integer,
                                     sort="string",
                                     time_zone="string",
                                     type="string"
                                     )
print(response)

Uber class example

from falconpy import APIHarnessV2

# Do not hardcode API credentials!
falcon = APIHarnessV2(client_id=CLIENT_ID,
                      client_secret=CLIENT_SECRET
                      )

date_ranges = [
    {
        "from": "2021-05-15T14:55:21.892315096Z",
        "to": "2021-05-17T13:42:16.493180643Z"
    }
]

ranges = [
    {
        "From": 1,
        "To": 100
    }
]

BODY = [{
    "date_ranges": date_ranges,
    "exclude": "string",
    "field": "string",
    "filter": "string",
    "from": integer,
    "include": "string",
    "interval": "string",
    "max_doc_count": integer,
    "min_doc_count": integer,
    "missing": "string",
    "name": "string",
    "q": "string",
    "ranges": ranges,
    "size": integer,
    "sort": "string",
    "sub_aggregates": [
        null
    ]
    "time_zone": "string",
    "type": "string"
}]

response = falcon.command("AggregateAllowList", body=BODY)
print(response)

AggregateBlockList

Retrieve aggregate blocklist ticket values based on the matched filter

PEP8 method name

aggregate_block_list

Endpoint

Method	Route
	`/falcon-complete-dashboards/aggregates/blocklist/GET/v1`

Required Scope

falcon-complete-dashboard:read

Content-Type

Consumes: application/json
Produces: application/json

Keyword Arguments

Name	Type	Data type	Description
body	body	list of dictionaries	Full body payload in JSON format.
date_ranges	body	list of dictionaries	Applies to date_range aggregations. Example: [ { "from": "2016-05-28T09:00:31Z", "to": "2016-05-30T09:00:31Z" }, { "from": "2016-06-01T09:00:31Z", "to": "2016-06-10T09:00:31Z" } ]
exclude	body	string	Elements to exclude.
field	body	string	The field on which to compute the aggregation.
filter	body	string	FQL syntax formatted string to use to filter the results.
from	body	integer	Starting position.
include	body	string	Elements to include.
interval	body	string	Time interval for date histogram aggregations. Valid values include: `year` `month` `week` `day` `hour` `minute`
max_doc_count	body	integer	Only return buckets if values are less than or equal to the value here.
min_doc_count	body	integer	Only return buckets if values are greater than or equal to the value here.
missing	body	string	Missing is the value to be used when the aggregation field is missing from the object. In other words, the missing parameter defines how documents that are missing a value should be treated. By default they will be ignored, but it is also possible to treat them as if they had a value.
name	body	string	Name of the aggregate query, as chosen by the user. Used to identify the results returned to you.
q	body	string	Full text search across all metadata fields.
ranges	body	list of dictionaries	Applies to range aggregations. Ranges values will depend on field. For example, if `max_severity` is used, ranges might look like: [ { "From": 0, "To": 70 }, { "From": 70, "To": 100 } ]
size	body	integer	The max number of term buckets to be returned.
sub_aggregates	body	list of dictionaries	A nested aggregation, such as: [ { "name": "max_first_behavior", "type": "max", "field": "first_behavior" } ] There is a maximum of 3 nested aggregations per request.
sort	body	string	FQL syntax string to sort bucket results. `_count` - sort by document count `_term` - sort by the string value alphabetically Supports `asc` and `desc` using `\|` format. Example: `_count\|desc`
time_zone	body	string	Time zone for bucket results.
type	body	string	Type of aggregation. Valid values include: `date_histogram` - Aggregates counts on a specified time interval. Requires use of “interval” field. `date_range` - Aggregates counts on custom defined date range buckets. Can include multiple ranges. (Similar to time series, but the bucket sizes are variable). Date formats to follow ISO 8601. `terms` - Buckets alerts by the value of a specified field. For example, if field used is scenario, then alerts will be bucketed by the various alert scenario names. `range` - Buckets alerts by specified (numeric) ranges of a specified field. For example, if doing a range aggregation on the max_severity field, the alerts will be counted by the specified ranges of severity. `cardinality` - Returns the count of distinct values in a specified field. `max` - Returns the maximum value of a specified field. `min` - Returns the minimum value of a specified field. `avg` - Returns the average value of the specified field. `sum` - Returns the total sum of all values for the specified field. `percentiles` - Returns the following percentiles for the specified field: `1`, `5`, `25`, `50`, `75`, `95`, `99`.

Usage

Service class example (PEP8 syntax)

from falconpy import CompleteDashboard

# Do not hardcode API credentials!
falcon = CompleteDashboard(client_id=CLIENT_ID,
                           client_secret=CLIENT_SECRET
                           )

date_ranges = [
    {
        "from": "2021-05-15T14:55:21.892315096Z",
        "to": "2021-05-17T13:42:16.493180643Z"
    }
]

ranges = [
    {
        "From": 1,
        "To": 100
    }
]

response = falcon.aggregate_block_list(date_ranges=date_ranges,
                                       exclude="string",
                                       field="string",
                                       filter="string",
                                       from=integer,
                                       include="string",
                                       interval="string",
                                       max_doc_count=integer,
                                       min_doc_count=integer,
                                       missing="string",
                                       name="string",
                                       q="string",
                                       ranges=ranges,
                                       size=integer,
                                       sort="string",
                                       time_zone="string",
                                       type="string"
                                       )
print(response)

Service class example (Operation ID syntax)

from falconpy import CompleteDashboard

# Do not hardcode API credentials!
falcon = CompleteDashboard(client_id=CLIENT_ID,
                           client_secret=CLIENT_SECRET
                           )

date_ranges = [
    {
        "from": "2021-05-15T14:55:21.892315096Z",
        "to": "2021-05-17T13:42:16.493180643Z"
    }
]

ranges = [
    {
        "From": 1,
        "To": 100
    }
]

response = falcon.AggregateBlockList(date_ranges=date_ranges,
                                     exclude="string",
                                     field="string",
                                     filter="string",
                                     from=integer,
                                     include="string",
                                     interval="string",
                                     max_doc_count=integer,
                                     min_doc_count=integer,
                                     missing="string",
                                     name="string",
                                     q="string",
                                     ranges=ranges,
                                     size=integer,
                                     sort="string",
                                     time_zone="string",
                                     type="string"
                                     )
print(response)

Uber class example

from falconpy import APIHarnessV2

# Do not hardcode API credentials!
falcon = APIHarnessV2(client_id=CLIENT_ID,
                      client_secret=CLIENT_SECRET
                      )

date_ranges = [
    {
        "from": "2021-05-15T14:55:21.892315096Z",
        "to": "2021-05-17T13:42:16.493180643Z"
    }
]

ranges = [
    {
        "From": 1,
        "To": 100
    }
]

BODY = [{
    "date_ranges": date_ranges,
    "exclude": "string",
    "field": "string",
    "filter": "string",
    "from": integer,
    "include": "string",
    "interval": "string",
    "max_doc_count": integer,
    "min_doc_count": integer,
    "missing": "string",
    "name": "string",
    "q": "string",
    "ranges": ranges,
    "size": integer,
    "sort": "string",
    "sub_aggregates": [
        null
    ]
    "time_zone": "string",
    "type": "string"
}]

response = falcon.command("AggregateBlockList", body=BODY)
print(response)

AggregateDetections

Retrieve aggregate detection values based on the matched filter

PEP8 method name

aggregate_detections

Endpoint

Method	Route
	`/falcon-complete-dashboards/aggregates/detects/GET/v1`

Required Scope

falcon-complete-dashboard:read

Content-Type

Consumes: application/json
Produces: application/json

Keyword Arguments

Name	Type	Data type	Description
body	body	list of dictionaries	Full body payload in JSON format.
date_ranges	body	list of dictionaries	Applies to date_range aggregations. Example: [ { "from": "2016-05-28T09:00:31Z", "to": "2016-05-30T09:00:31Z" }, { "from": "2016-06-01T09:00:31Z", "to": "2016-06-10T09:00:31Z" } ]
exclude	body	string	Elements to exclude.
field	body	string	The field on which to compute the aggregation.
filter	body	string	FQL syntax formatted string to use to filter the results.
from	body	integer	Starting position.
include	body	string	Elements to include.
interval	body	string	Time interval for date histogram aggregations. Valid values include: `year` `month` `week` `day` `hour` `minute`
max_doc_count	body	integer	Only return buckets if values are less than or equal to the value here.
min_doc_count	body	integer	Only return buckets if values are greater than or equal to the value here.
missing	body	string	Missing is the value to be used when the aggregation field is missing from the object. In other words, the missing parameter defines how documents that are missing a value should be treated. By default they will be ignored, but it is also possible to treat them as if they had a value.
name	body	string	Name of the aggregate query, as chosen by the user. Used to identify the results returned to you.
q	body	string	Full text search across all metadata fields.
ranges	body	list of dictionaries	Applies to range aggregations. Ranges values will depend on field. For example, if `max_severity` is used, ranges might look like: [ { "From": 0, "To": 70 }, { "From": 70, "To": 100 } ]
size	body	integer	The max number of term buckets to be returned.
sub_aggregates	body	list of dictionaries	A nested aggregation, such as: [ { "name": "max_first_behavior", "type": "max", "field": "first_behavior" } ] There is a maximum of 3 nested aggregations per request.
sort	body	string	FQL syntax string to sort bucket results. `_count` - sort by document count `_term` - sort by the string value alphabetically Supports `asc` and `desc` using `\|` format. Example: `_count\|desc`
time_zone	body	string	Time zone for bucket results.
type	body	string	Type of aggregation. Valid values include: `date_histogram` - Aggregates counts on a specified time interval. Requires use of “interval” field. `date_range` - Aggregates counts on custom defined date range buckets. Can include multiple ranges. (Similar to time series, but the bucket sizes are variable). Date formats to follow ISO 8601. `terms` - Buckets alerts by the value of a specified field. For example, if field used is scenario, then alerts will be bucketed by the various alert scenario names. `range` - Buckets alerts by specified (numeric) ranges of a specified field. For example, if doing a range aggregation on the max_severity field, the alerts will be counted by the specified ranges of severity. `cardinality` - Returns the count of distinct values in a specified field. `max` - Returns the maximum value of a specified field. `min` - Returns the minimum value of a specified field. `avg` - Returns the average value of the specified field. `sum` - Returns the total sum of all values for the specified field. `percentiles` - Returns the following percentiles for the specified field: `1`, `5`, `25`, `50`, `75`, `95`, `99`.

Usage

Service class example (PEP8 syntax)

from falconpy import CompleteDashboard

# Do not hardcode API credentials!
falcon = CompleteDashboard(client_id=CLIENT_ID,
                           client_secret=CLIENT_SECRET
                           )

date_ranges = [
    {
        "from": "2021-05-15T14:55:21.892315096Z",
        "to": "2021-05-17T13:42:16.493180643Z"
    }
]

ranges = [
    {
        "From": 1,
        "To": 100
    }
]

response = falcon.aggregate_detections(date_ranges=date_ranges,
                                       exclude="string",
                                       field="string",
                                       filter="string",
                                       from=integer,
                                       include="string",
                                       interval="string",
                                       max_doc_count=integer,
                                       min_doc_count=integer,
                                       missing="string",
                                       name="string",
                                       q="string",
                                       ranges=ranges,
                                       size=integer,
                                       sort="string",
                                       time_zone="string",
                                       type="string"
                                       )
print(response)

Service class example (Operation ID syntax)

from falconpy import CompleteDashboard

# Do not hardcode API credentials!
falcon = CompleteDashboard(client_id=CLIENT_ID,
                           client_secret=CLIENT_SECRET
                           )

date_ranges = [
    {
        "from": "2021-05-15T14:55:21.892315096Z",
        "to": "2021-05-17T13:42:16.493180643Z"
    }
]

ranges = [
    {
        "From": 1,
        "To": 100
    }
]

response = falcon.AggregateDetections(date_ranges=date_ranges,
                                      exclude="string",
                                      field="string",
                                      filter="string",
                                      from=integer,
                                      include="string",
                                      interval="string",
                                      max_doc_count=integer,
                                      min_doc_count=integer,
                                      missing="string",
                                      name="string",
                                      q="string",
                                      ranges=ranges,
                                      size=integer,
                                      sort="string",
                                      time_zone="string",
                                      type="string"
                                      )
print(response)

Uber class example

from falconpy import APIHarnessV2

# Do not hardcode API credentials!
falcon = APIHarnessV2(client_id=CLIENT_ID,
                      client_secret=CLIENT_SECRET
                      )

date_ranges = [
    {
        "from": "2021-05-15T14:55:21.892315096Z",
        "to": "2021-05-17T13:42:16.493180643Z"
    }
]

ranges = [
    {
        "From": 1,
        "To": 100
    }
]

BODY = [{
    "date_ranges": date_ranges,
    "exclude": "string",
    "field": "string",
    "filter": "string",
    "from": integer,
    "include": "string",
    "interval": "string",
    "max_doc_count": integer,
    "min_doc_count": integer,
    "missing": "string",
    "name": "string",
    "q": "string",
    "ranges": ranges,
    "size": integer,
    "sort": "string",
    "sub_aggregates": [
        null
    ]
    "time_zone": "string",
    "type": "string"
}]

response = falcon.command("AggregateDetections", body=BODY)
print(response)

AggregateDeviceCountCollection

Retrieve aggregate host/devices count based on the matched filter

PEP8 method name

aggregate_device_count_collection

Endpoint

Method	Route
	`/falcon-complete-dashboards/aggregates/devicecount-collections/GET/v1`

Required Scope

falcon-complete-dashboard:read

Content-Type

Consumes: application/json
Produces: application/json

Keyword Arguments

Name	Type	Data type	Description
body	body	list of dictionaries	Full body payload in JSON format.
date_ranges	body	list of dictionaries	Applies to date_range aggregations. Example: [ { "from": "2016-05-28T09:00:31Z", "to": "2016-05-30T09:00:31Z" }, { "from": "2016-06-01T09:00:31Z", "to": "2016-06-10T09:00:31Z" } ]
exclude	body	string	Elements to exclude.
field	body	string	The field on which to compute the aggregation.
filter	body	string	FQL syntax formatted string to use to filter the results.
from	body	integer	Starting position.
include	body	string	Elements to include.
interval	body	string	Time interval for date histogram aggregations. Valid values include: `year` `month` `week` `day` `hour` `minute`
max_doc_count	body	integer	Only return buckets if values are less than or equal to the value here.
min_doc_count	body	integer	Only return buckets if values are greater than or equal to the value here.
missing	body	string	Missing is the value to be used when the aggregation field is missing from the object. In other words, the missing parameter defines how documents that are missing a value should be treated. By default they will be ignored, but it is also possible to treat them as if they had a value.
name	body	string	Name of the aggregate query, as chosen by the user. Used to identify the results returned to you.
q	body	string	Full text search across all metadata fields.
ranges	body	list of dictionaries	Applies to range aggregations. Ranges values will depend on field. For example, if `max_severity` is used, ranges might look like: [ { "From": 0, "To": 70 }, { "From": 70, "To": 100 } ]
size	body	integer	The max number of term buckets to be returned.
sub_aggregates	body	list of dictionaries	A nested aggregation, such as: [ { "name": "max_first_behavior", "type": "max", "field": "first_behavior" } ] There is a maximum of 3 nested aggregations per request.
sort	body	string	FQL syntax string to sort bucket results. `_count` - sort by document count `_term` - sort by the string value alphabetically Supports `asc` and `desc` using `\|` format. Example: `_count\|desc`
time_zone	body	string	Time zone for bucket results.
type	body	string	Type of aggregation. Valid values include: `date_histogram` - Aggregates counts on a specified time interval. Requires use of “interval” field. `date_range` - Aggregates counts on custom defined date range buckets. Can include multiple ranges. (Similar to time series, but the bucket sizes are variable). Date formats to follow ISO 8601. `terms` - Buckets alerts by the value of a specified field. For example, if field used is scenario, then alerts will be bucketed by the various alert scenario names. `range` - Buckets alerts by specified (numeric) ranges of a specified field. For example, if doing a range aggregation on the max_severity field, the alerts will be counted by the specified ranges of severity. `cardinality` - Returns the count of distinct values in a specified field. `max` - Returns the maximum value of a specified field. `min` - Returns the minimum value of a specified field. `avg` - Returns the average value of the specified field. `sum` - Returns the total sum of all values for the specified field. `percentiles` - Returns the following percentiles for the specified field: `1`, `5`, `25`, `50`, `75`, `95`, `99`.

Usage

Service class example (PEP8 syntax)

from falconpy import CompleteDashboard

# Do not hardcode API credentials!
falcon = CompleteDashboard(client_id=CLIENT_ID,
                           client_secret=CLIENT_SECRET
                           )

date_ranges = [
    {
        "from": "2021-05-15T14:55:21.892315096Z",
        "to": "2021-05-17T13:42:16.493180643Z"
    }
]

ranges = [
    {
        "From": 1,
        "To": 100
    }
]

response = falcon.aggregate_device_count_collection(date_ranges=date_ranges,
                                                    exclude="string",
                                                    field="string",
                                                    filter="string",
                                                    from=integer,
                                                    include="string",
                                                    interval="string",
                                                    max_doc_count=integer,
                                                    min_doc_count=integer,
                                                    missing="string",
                                                    name="string",
                                                    q="string",
                                                    ranges=ranges,
                                                    size=integer,
                                                    sort="string",
                                                    time_zone="string",
                                                    type="string"
                                                    )
print(response)

Service class example (Operation ID syntax)

from falconpy import CompleteDashboard

# Do not hardcode API credentials!
falcon = CompleteDashboard(client_id=CLIENT_ID,
                           client_secret=CLIENT_SECRET
                           )

date_ranges = [
    {
        "from": "2021-05-15T14:55:21.892315096Z",
        "to": "2021-05-17T13:42:16.493180643Z"
    }
]

ranges = [
    {
        "From": 1,
        "To": 100
    }
]

response = falcon.AggregateDeviceCountCollection(date_ranges=date_ranges,
                                                 exclude="string",
                                                 field="string",
                                                 filter="string",
                                                 from=integer,
                                                 include="string",
                                                 interval="string",
                                                 max_doc_count=integer,
                                                 min_doc_count=integer,
                                                 missing="string",
                                                 name="string",
                                                 q="string",
                                                 ranges=ranges,
                                                 size=integer,
                                                 sort="string",
                                                 time_zone="string",
                                                 type="string"
                                                 )
print(response)

Uber class example

from falconpy import APIHarnessV2

# Do not hardcode API credentials!
falcon = APIHarnessV2(client_id=CLIENT_ID,
                      client_secret=CLIENT_SECRET
                      )

date_ranges = [
    {
        "from": "2021-05-15T14:55:21.892315096Z",
        "to": "2021-05-17T13:42:16.493180643Z"
    }
]

ranges = [
    {
        "From": 1,
        "To": 100
    }
]

BODY = [{
    "date_ranges": date_ranges,
    "exclude": "string",
    "field": "string",
    "filter": "string",
    "from": integer,
    "include": "string",
    "interval": "string",
    "max_doc_count": integer,
    "min_doc_count": integer,
    "missing": "string",
    "name": "string",
    "q": "string",
    "ranges": ranges,
    "size": integer,
    "sort": "string",
    "sub_aggregates": [
        null
    ]
    "time_zone": "string",
    "type": "string"
}]

response = falcon.command("AggregateDeviceCountCollection", body=BODY)
print(response)

AggregateEscalations

Retrieve aggregate escalation ticket values based on the matched filter

PEP8 method name

aggregate_escalations

Endpoint

Method	Route
	`/falcon-complete-dashboards/aggregates/escalations/GET/v1`

Required Scope

falcon-complete-dashboard:read

Content-Type

Consumes: application/json
Produces: application/json

Keyword Arguments

Name	Type	Data type	Description
body	body	list of dictionaries	Full body payload in JSON format.
date_ranges	body	list of dictionaries	Applies to date_range aggregations. Example: [ { "from": "2016-05-28T09:00:31Z", "to": "2016-05-30T09:00:31Z" }, { "from": "2016-06-01T09:00:31Z", "to": "2016-06-10T09:00:31Z" } ]
exclude	body	string	Elements to exclude.
field	body	string	The field on which to compute the aggregation.
filter	body	string	FQL syntax formatted string to use to filter the results.
from	body	integer	Starting position.
include	body	string	Elements to include.
interval	body	string	Time interval for date histogram aggregations. Valid values include: `year` `month` `week` `day` `hour` `minute`
max_doc_count	body	integer	Only return buckets if values are less than or equal to the value here.
min_doc_count	body	integer	Only return buckets if values are greater than or equal to the value here.
missing	body	string	Missing is the value to be used when the aggregation field is missing from the object. In other words, the missing parameter defines how documents that are missing a value should be treated. By default they will be ignored, but it is also possible to treat them as if they had a value.
name	body	string	Name of the aggregate query, as chosen by the user. Used to identify the results returned to you.
q	body	string	Full text search across all metadata fields.
ranges	body	list of dictionaries	Applies to range aggregations. Ranges values will depend on field. For example, if `max_severity` is used, ranges might look like: [ { "From": 0, "To": 70 }, { "From": 70, "To": 100 } ]
size	body	integer	The max number of term buckets to be returned.
sub_aggregates	body	list of dictionaries	A nested aggregation, such as: [ { "name": "max_first_behavior", "type": "max", "field": "first_behavior" } ] There is a maximum of 3 nested aggregations per request.
sort	body	string	FQL syntax string to sort bucket results. `_count` - sort by document count `_term` - sort by the string value alphabetically Supports `asc` and `desc` using `\|` format. Example: `_count\|desc`
time_zone	body	string	Time zone for bucket results.
type	body	string	Type of aggregation. Valid values include: `date_histogram` - Aggregates counts on a specified time interval. Requires use of “interval” field. `date_range` - Aggregates counts on custom defined date range buckets. Can include multiple ranges. (Similar to time series, but the bucket sizes are variable). Date formats to follow ISO 8601. `terms` - Buckets alerts by the value of a specified field. For example, if field used is scenario, then alerts will be bucketed by the various alert scenario names. `range` - Buckets alerts by specified (numeric) ranges of a specified field. For example, if doing a range aggregation on the max_severity field, the alerts will be counted by the specified ranges of severity. `cardinality` - Returns the count of distinct values in a specified field. `max` - Returns the maximum value of a specified field. `min` - Returns the minimum value of a specified field. `avg` - Returns the average value of the specified field. `sum` - Returns the total sum of all values for the specified field. `percentiles` - Returns the following percentiles for the specified field: `1`, `5`, `25`, `50`, `75`, `95`, `99`.

Usage

Service class example (PEP8 syntax)

from falconpy import CompleteDashboard

# Do not hardcode API credentials!
falcon = CompleteDashboard(client_id=CLIENT_ID,
                           client_secret=CLIENT_SECRET
                           )

date_ranges = [
    {
        "from": "2021-05-15T14:55:21.892315096Z",
        "to": "2021-05-17T13:42:16.493180643Z"
    }
]

ranges = [
    {
        "From": 1,
        "To": 100
    }
]

response = falcon.aggregate_escalations(date_ranges=date_ranges,
                                        exclude="string",
                                        field="string",
                                        filter="string",
                                        from=integer,
                                        include="string",
                                        interval="string",
                                        max_doc_count=integer,
                                        min_doc_count=integer,
                                        missing="string",
                                        name="string",
                                        q="string",
                                        ranges=ranges,
                                        size=integer,
                                        sort="string",
                                        time_zone="string",
                                        type="string"
                                        )
print(response)

Service class example (Operation ID syntax)

from falconpy import CompleteDashboard

# Do not hardcode API credentials!
falcon = CompleteDashboard(client_id=CLIENT_ID,
                           client_secret=CLIENT_SECRET
                           )

date_ranges = [
    {
        "from": "2021-05-15T14:55:21.892315096Z",
        "to": "2021-05-17T13:42:16.493180643Z"
    }
]

ranges = [
    {
        "From": 1,
        "To": 100
    }
]

response = falcon.AggregateEscalations(date_ranges=date_ranges,
                                       exclude="string",
                                       field="string",
                                       filter="string",
                                       from=integer,
                                       include="string",
                                       interval="string",
                                       max_doc_count=integer,
                                       min_doc_count=integer,
                                       missing="string",
                                       name="string",
                                       q="string",
                                       ranges=ranges,
                                       size=integer,
                                       sort="string",
                                       time_zone="string",
                                       type="string"
                                       )
print(response)

Uber class example

from falconpy import APIHarnessV2

# Do not hardcode API credentials!
falcon = APIHarnessV2(client_id=CLIENT_ID,
                      client_secret=CLIENT_SECRET
                      )

date_ranges = [
    {
        "from": "2021-05-15T14:55:21.892315096Z",
        "to": "2021-05-17T13:42:16.493180643Z"
    }
]

ranges = [
    {
        "From": 1,
        "To": 100
    }
]

BODY = [{
    "date_ranges": date_ranges,
    "exclude": "string",
    "field": "string",
    "filter": "string",
    "from": integer,
    "include": "string",
    "interval": "string",
    "max_doc_count": integer,
    "min_doc_count": integer,
    "missing": "string",
    "name": "string",
    "q": "string",
    "ranges": ranges,
    "size": integer,
    "sort": "string",
    "sub_aggregates": [
        null
    ]
    "time_zone": "string",
    "type": "string"
}]

response = falcon.command("AggregateEscalations", body=BODY)
print(response)

AggregateFCIncidents

Retrieve aggregate incident values based on the matched filter

PEP8 method name

aggregate_fc_incidents

Endpoint

Method	Route
	`/falcon-complete-dashboards/aggregates/incidents/GET/v1`

Required Scope

falcon-complete-dashboard:read

Content-Type

Consumes: application/json
Produces: application/json

Keyword Arguments

Name	Type	Data type	Description
body	body	list of dictionaries	Full body payload in JSON format.
date_ranges	body	list of dictionaries	Applies to date_range aggregations. Example: [ { "from": "2016-05-28T09:00:31Z", "to": "2016-05-30T09:00:31Z" }, { "from": "2016-06-01T09:00:31Z", "to": "2016-06-10T09:00:31Z" } ]
exclude	body	string	Elements to exclude.
field	body	string	The field on which to compute the aggregation.
filter	body	string	FQL syntax formatted string to use to filter the results.
from	body	integer	Starting position.
include	body	string	Elements to include.
interval	body	string	Time interval for date histogram aggregations. Valid values include: `year` `month` `week` `day` `hour` `minute`
max_doc_count	body	integer	Only return buckets if values are less than or equal to the value here.
min_doc_count	body	integer	Only return buckets if values are greater than or equal to the value here.
missing	body	string	Missing is the value to be used when the aggregation field is missing from the object. In other words, the missing parameter defines how documents that are missing a value should be treated. By default they will be ignored, but it is also possible to treat them as if they had a value.
name	body	string	Name of the aggregate query, as chosen by the user. Used to identify the results returned to you.
q	body	string	Full text search across all metadata fields.
ranges	body	list of dictionaries	Applies to range aggregations. Ranges values will depend on field. For example, if `max_severity` is used, ranges might look like: [ { "From": 0, "To": 70 }, { "From": 70, "To": 100 } ]
size	body	integer	The max number of term buckets to be returned.
sub_aggregates	body	list of dictionaries	A nested aggregation, such as: [ { "name": "max_first_behavior", "type": "max", "field": "first_behavior" } ] There is a maximum of 3 nested aggregations per request.
sort	body	string	FQL syntax string to sort bucket results. `_count` - sort by document count `_term` - sort by the string value alphabetically Supports `asc` and `desc` using `\|` format. Example: `_count\|desc`
time_zone	body	string	Time zone for bucket results.
type	body	string	Type of aggregation. Valid values include: `date_histogram` - Aggregates counts on a specified time interval. Requires use of “interval” field. `date_range` - Aggregates counts on custom defined date range buckets. Can include multiple ranges. (Similar to time series, but the bucket sizes are variable). Date formats to follow ISO 8601. `terms` - Buckets alerts by the value of a specified field. For example, if field used is scenario, then alerts will be bucketed by the various alert scenario names. `range` - Buckets alerts by specified (numeric) ranges of a specified field. For example, if doing a range aggregation on the max_severity field, the alerts will be counted by the specified ranges of severity. `cardinality` - Returns the count of distinct values in a specified field. `max` - Returns the maximum value of a specified field. `min` - Returns the minimum value of a specified field. `avg` - Returns the average value of the specified field. `sum` - Returns the total sum of all values for the specified field. `percentiles` - Returns the following percentiles for the specified field: `1`, `5`, `25`, `50`, `75`, `95`, `99`.

Usage

Service class example (PEP8 syntax)

from falconpy import CompleteDashboard

# Do not hardcode API credentials!
falcon = CompleteDashboard(client_id=CLIENT_ID,
                           client_secret=CLIENT_SECRET
                           )

date_ranges = [
    {
        "from": "2021-05-15T14:55:21.892315096Z",
        "to": "2021-05-17T13:42:16.493180643Z"
    }
]

ranges = [
    {
        "From": 1,
        "To": 100
    }
]

response = falcon.aggregate_fc_incidents(date_ranges=date_ranges,
                                         exclude="string",
                                         field="string",
                                         filter="string",
                                         from=integer,
                                         include="string",
                                         interval="string",
                                         max_doc_count=integer,
                                         min_doc_count=integer,
                                         missing="string",
                                         name="string",
                                         q="string",
                                         ranges=ranges,
                                         size=integer,
                                         sort="string",
                                         time_zone="string",
                                         type="string"
                                         )
print(response)

Service class example (Operation ID syntax)

from falconpy import CompleteDashboard

# Do not hardcode API credentials!
falcon = CompleteDashboard(client_id=CLIENT_ID,
                           client_secret=CLIENT_SECRET
                           )

date_ranges = [
    {
        "from": "2021-05-15T14:55:21.892315096Z",
        "to": "2021-05-17T13:42:16.493180643Z"
    }
]

ranges = [
    {
        "From": 1,
        "To": 100
    }
]

response = falcon.AggregateFCIncidents(date_ranges=date_ranges,
                                       exclude="string",
                                       field="string",
                                       filter="string",
                                       from=integer,
                                       include="string",
                                       interval="string",
                                       max_doc_count=integer,
                                       min_doc_count=integer,
                                       missing="string",
                                       name="string",
                                       q="string",
                                       ranges=ranges,
                                       size=integer,
                                       sort="string",
                                       time_zone="string",
                                       type="string"
                                       )
print(response)

Uber class example

from falconpy import APIHarnessV2

# Do not hardcode API credentials!
falcon = APIHarnessV2(client_id=CLIENT_ID,
                      client_secret=CLIENT_SECRET
                      )

date_ranges = [
    {
        "from": "2021-05-15T14:55:21.892315096Z",
        "to": "2021-05-17T13:42:16.493180643Z"
    }
]

ranges = [
    {
        "From": 1,
        "To": 100
    }
]

BODY = [{
    "date_ranges": date_ranges,
    "exclude": "string",
    "field": "string",
    "filter": "string",
    "from": integer,
    "include": "string",
    "interval": "string",
    "max_doc_count": integer,
    "min_doc_count": integer,
    "missing": "string",
    "name": "string",
    "q": "string",
    "ranges": ranges,
    "size": integer,
    "sort": "string",
    "sub_aggregates": [
        null
    ]
    "time_zone": "string",
    "type": "string"
}]

response = falcon.command("AggregateFCIncidents", body=BODY)
print(response)

AggregateRemediations

Retrieve aggregate remediation ticket values based on the matched filter

PEP8 method name

aggregate_remediations

Endpoint

Method	Route
	`/falcon-complete-dashboards/aggregates/remediations/GET/v1`

Required Scope

falcon-complete-dashboard:read

Content-Type

Consumes: application/json
Produces: application/json

Keyword Arguments

Name	Type	Data type	Description
body	body	list of dictionaries	Full body payload in JSON format.
date_ranges	body	list of dictionaries	Applies to date_range aggregations. Example: [ { "from": "2016-05-28T09:00:31Z", "to": "2016-05-30T09:00:31Z" }, { "from": "2016-06-01T09:00:31Z", "to": "2016-06-10T09:00:31Z" } ]
exclude	body	string	Elements to exclude.
field	body	string	The field on which to compute the aggregation.
filter	body	string	FQL syntax formatted string to use to filter the results.
from	body	integer	Starting position.
include	body	string	Elements to include.
interval	body	string	Time interval for date histogram aggregations. Valid values include: `year` `month` `week` `day` `hour` `minute`
max_doc_count	body	integer	Only return buckets if values are less than or equal to the value here.
min_doc_count	body	integer	Only return buckets if values are greater than or equal to the value here.
missing	body	string	Missing is the value to be used when the aggregation field is missing from the object. In other words, the missing parameter defines how documents that are missing a value should be treated. By default they will be ignored, but it is also possible to treat them as if they had a value.
name	body	string	Name of the aggregate query, as chosen by the user. Used to identify the results returned to you.
q	body	string	Full text search across all metadata fields.
ranges	body	list of dictionaries	Applies to range aggregations. Ranges values will depend on field. For example, if `max_severity` is used, ranges might look like: [ { "From": 0, "To": 70 }, { "From": 70, "To": 100 } ]
size	body	integer	The max number of term buckets to be returned.
sub_aggregates	body	list of dictionaries	A nested aggregation, such as: [ { "name": "max_first_behavior", "type": "max", "field": "first_behavior" } ] There is a maximum of 3 nested aggregations per request.
sort	body	string	FQL syntax string to sort bucket results. `_count` - sort by document count `_term` - sort by the string value alphabetically Supports `asc` and `desc` using `\|` format. Example: `_count\|desc`
time_zone	body	string	Time zone for bucket results.
type	body	string	Type of aggregation. Valid values include: `date_histogram` - Aggregates counts on a specified time interval. Requires use of “interval” field. `date_range` - Aggregates counts on custom defined date range buckets. Can include multiple ranges. (Similar to time series, but the bucket sizes are variable). Date formats to follow ISO 8601. `terms` - Buckets alerts by the value of a specified field. For example, if field used is scenario, then alerts will be bucketed by the various alert scenario names. `range` - Buckets alerts by specified (numeric) ranges of a specified field. For example, if doing a range aggregation on the max_severity field, the alerts will be counted by the specified ranges of severity. `cardinality` - Returns the count of distinct values in a specified field. `max` - Returns the maximum value of a specified field. `min` - Returns the minimum value of a specified field. `avg` - Returns the average value of the specified field. `sum` - Returns the total sum of all values for the specified field. `percentiles` - Returns the following percentiles for the specified field: `1`, `5`, `25`, `50`, `75`, `95`, `99`.

Usage

Service class example (PEP8 syntax)

from falconpy import CompleteDashboard

# Do not hardcode API credentials!
falcon = CompleteDashboard(client_id=CLIENT_ID,
                           client_secret=CLIENT_SECRET
                           )

date_ranges = [
    {
        "from": "2021-05-15T14:55:21.892315096Z",
        "to": "2021-05-17T13:42:16.493180643Z"
    }
]

ranges = [
    {
        "From": 1,
        "To": 100
    }
]

response = falcon.aggregate_remediations(date_ranges=date_ranges,
                                         exclude="string",
                                         field="string",
                                         filter="string",
                                         from=integer,
                                         include="string",
                                         interval="string",
                                         max_doc_count=integer,
                                         min_doc_count=integer,
                                         missing="string",
                                         name="string",
                                         q="string",
                                         ranges=ranges,
                                         size=integer,
                                         sort="string",
                                         time_zone="string",
                                         type="string"
                                         )
print(response)

Service class example (Operation ID syntax)

from falconpy import CompleteDashboard

# Do not hardcode API credentials!
falcon = CompleteDashboard(client_id=CLIENT_ID,
                           client_secret=CLIENT_SECRET
                           )

date_ranges = [
    {
        "from": "2021-05-15T14:55:21.892315096Z",
        "to": "2021-05-17T13:42:16.493180643Z"
    }
]

ranges = [
    {
        "From": 1,
        "To": 100
    }
]

response = falcon.AggregateRemediations(date_ranges=date_ranges,
                                        exclude="string",
                                        field="string",
                                        filter="string",
                                        from=integer,
                                        include="string",
                                        interval="string",
                                        max_doc_count=integer,
                                        min_doc_count=integer,
                                        missing="string",
                                        name="string",
                                        q="string",
                                        ranges=ranges,
                                        size=integer,
                                        sort="string",
                                        time_zone="string",
                                        type="string"
                                        )
print(response)

Uber class example

from falconpy import APIHarnessV2

# Do not hardcode API credentials!
falcon = APIHarnessV2(client_id=CLIENT_ID,
                      client_secret=CLIENT_SECRET
                      )

date_ranges = [
    {
        "from": "2021-05-15T14:55:21.892315096Z",
        "to": "2021-05-17T13:42:16.493180643Z"
    }
]

ranges = [
    {
        "From": 1,
        "To": 100
    }
]

BODY = [{
    "date_ranges": date_ranges,
    "exclude": "string",
    "field": "string",
    "filter": "string",
    "from": integer,
    "include": "string",
    "interval": "string",
    "max_doc_count": integer,
    "min_doc_count": integer,
    "missing": "string",
    "name": "string",
    "q": "string",
    "ranges": ranges,
    "size": integer,
    "sort": "string",
    "sub_aggregates": [
        null
    ]
    "time_zone": "string",
    "type": "string"
}]

response = falcon.command("AggregateRemediations", body=BODY)
print(response)

AggregatePreventionPolicy

Retrieve aggregate prevention policy values based on the matched filter

PEP8 method name

aggregate_prevention_policy

Endpoint

Method	Route
	`/falcon-complete-dashboards/aggregates/prevention-policies/v1`

Required Scope

falcon-complete-dashboard:read

Content-Type

Consumes: application/json
Produces: application/json

Keyword Arguments

Name	Type	Data type	Description
body	body	list of dictionaries	Full body payload in JSON format.
date_ranges	body	list of dictionaries	Applies to date_range aggregations. Example: [ { "from": "2016-05-28T09:00:31Z", "to": "2016-05-30T09:00:31Z" }, { "from": "2016-06-01T09:00:31Z", "to": "2016-06-10T09:00:31Z" } ]
exclude	body	string	Elements to exclude.
field	body	string	The field on which to compute the aggregation.
filter	body	string	FQL syntax formatted string to use to filter the results.
from	body	integer	Starting position.
include	body	string	Elements to include.
interval	body	string	Time interval for date histogram aggregations. Valid values include: `year` `month` `week` `day` `hour` `minute`
max_doc_count	body	integer	Only return buckets if values are less than or equal to the value here.
min_doc_count	body	integer	Only return buckets if values are greater than or equal to the value here.
missing	body	string	Missing is the value to be used when the aggregation field is missing from the object. In other words, the missing parameter defines how documents that are missing a value should be treated. By default they will be ignored, but it is also possible to treat them as if they had a value.
name	body	string	Name of the aggregate query, as chosen by the user. Used to identify the results returned to you.
q	body	string	Full text search across all metadata fields.
ranges	body	list of dictionaries	Applies to range aggregations. Ranges values will depend on field. For example, if `max_severity` is used, ranges might look like: [ { "From": 0, "To": 70 }, { "From": 70, "To": 100 } ]
size	body	integer	The max number of term buckets to be returned.
sub_aggregates	body	list of dictionaries	A nested aggregation, such as: [ { "name": "max_first_behavior", "type": "max", "field": "first_behavior" } ] There is a maximum of 3 nested aggregations per request.
sort	body	string	FQL syntax string to sort bucket results. `_count` - sort by document count `_term` - sort by the string value alphabetically Supports `asc` and `desc` using `\|` format. Example: `_count\|desc`
time_zone	body	string	Time zone for bucket results.
type	body	string	Type of aggregation. Valid values include: `date_histogram` - Aggregates counts on a specified time interval. Requires use of “interval” field. `date_range` - Aggregates counts on custom defined date range buckets. Can include multiple ranges. (Similar to time series, but the bucket sizes are variable). Date formats to follow ISO 8601. `terms` - Buckets alerts by the value of a specified field. For example, if field used is scenario, then alerts will be bucketed by the various alert scenario names. `range` - Buckets alerts by specified (numeric) ranges of a specified field. For example, if doing a range aggregation on the max_severity field, the alerts will be counted by the specified ranges of severity. `cardinality` - Returns the count of distinct values in a specified field. `max` - Returns the maximum value of a specified field. `min` - Returns the minimum value of a specified field. `avg` - Returns the average value of the specified field. `sum` - Returns the total sum of all values for the specified field. `percentiles` - Returns the following percentiles for the specified field: `1`, `5`, `25`, `50`, `75`, `95`, `99`.

Usage

Service class example (PEP8 syntax)

from falconpy import CompleteDashboard

# Do not hardcode API credentials!
falcon = CompleteDashboard(client_id=CLIENT_ID,
                           client_secret=CLIENT_SECRET
                           )

date_ranges = [
    {
        "from": "2021-05-15T14:55:21.892315096Z",
        "to": "2021-05-17T13:42:16.493180643Z"
    }
]

ranges = [
    {
        "From": 1,
        "To": 100
    }
]

response = falcon.aggregate_prevention_policy(date_ranges=date_ranges,
                                              exclude="string",
                                              field="string",
                                              filter="string",
                                              from=integer,
                                              include="string",
                                              interval="string",
                                              max_doc_count=integer,
                                              min_doc_count=integer,
                                              missing="string",
                                              name="string",
                                              q="string",
                                              ranges=ranges,
                                              size=integer,
                                              sort="string",
                                              time_zone="string",
                                              type="string"
                                              )
print(response)

Service class example (Operation ID syntax)

from falconpy import CompleteDashboard

# Do not hardcode API credentials!
falcon = CompleteDashboard(client_id=CLIENT_ID,
                           client_secret=CLIENT_SECRET
                           )

date_ranges = [
    {
        "from": "2021-05-15T14:55:21.892315096Z",
        "to": "2021-05-17T13:42:16.493180643Z"
    }
]

ranges = [
    {
        "From": 1,
        "To": 100
    }
]

response = falcon.AggregatePreventionPolicy(date_ranges=date_ranges,
                                            exclude="string",
                                            field="string",
                                            filter="string",
                                            from=integer,
                                            include="string",
                                            interval="string",
                                            max_doc_count=integer,
                                            min_doc_count=integer,
                                            missing="string",
                                            name="string",
                                            q="string",
                                            ranges=ranges,
                                            size=integer,
                                            sort="string",
                                            time_zone="string",
                                            type="string"
                                            )
print(response)

Uber class example

from falconpy import APIHarnessV2

# Do not hardcode API credentials!
falcon = APIHarnessV2(client_id=CLIENT_ID,
                      client_secret=CLIENT_SECRET
                      )

date_ranges = [
    {
        "from": "2021-05-15T14:55:21.892315096Z",
        "to": "2021-05-17T13:42:16.493180643Z"
    }
]

ranges = [
    {
        "From": 1,
        "To": 100
    }
]

BODY = [{
    "date_ranges": date_ranges,
    "exclude": "string",
    "field": "string",
    "filter": "string",
    "from": integer,
    "include": "string",
    "interval": "string",
    "max_doc_count": integer,
    "min_doc_count": integer,
    "missing": "string",
    "name": "string",
    "q": "string",
    "ranges": ranges,
    "size": integer,
    "sort": "string",
    "sub_aggregates": [
        null
    ]
    "time_zone": "string",
    "type": "string"
}]

response = falcon.command("AggregatePreventionPolicy", body=BODY)
print(response)

AggregateSensorUpdatePolicy

Retrieve aggregate sensor update policy values based on the matched filter

PEP8 method name

aggregate_sensor_update_policy

Endpoint

Method	Route
	`/falcon-complete-dashboards/aggregates/sensor-update-policies/v1`

Required Scope

falcon-complete-dashboard:read

Content-Type

Consumes: application/json
Produces: application/json

Keyword Arguments

Name	Type	Data type	Description
body	body	list of dictionaries	Full body payload in JSON format.
date_ranges	body	list of dictionaries	Applies to date_range aggregations. Example: [ { "from": "2016-05-28T09:00:31Z", "to": "2016-05-30T09:00:31Z" }, { "from": "2016-06-01T09:00:31Z", "to": "2016-06-10T09:00:31Z" } ]
exclude	body	string	Elements to exclude.
field	body	string	The field on which to compute the aggregation.
filter	body	string	FQL syntax formatted string to use to filter the results.
from	body	integer	Starting position.
include	body	string	Elements to include.
interval	body	string	Time interval for date histogram aggregations. Valid values include: `year` `month` `week` `day` `hour` `minute`
max_doc_count	body	integer	Only return buckets if values are less than or equal to the value here.
min_doc_count	body	integer	Only return buckets if values are greater than or equal to the value here.
missing	body	string	Missing is the value to be used when the aggregation field is missing from the object. In other words, the missing parameter defines how documents that are missing a value should be treated. By default they will be ignored, but it is also possible to treat them as if they had a value.
name	body	string	Name of the aggregate query, as chosen by the user. Used to identify the results returned to you.
q	body	string	Full text search across all metadata fields.
ranges	body	list of dictionaries	Applies to range aggregations. Ranges values will depend on field. For example, if `max_severity` is used, ranges might look like: [ { "From": 0, "To": 70 }, { "From": 70, "To": 100 } ]
size	body	integer	The max number of term buckets to be returned.
sub_aggregates	body	list of dictionaries	A nested aggregation, such as: [ { "name": "max_first_behavior", "type": "max", "field": "first_behavior" } ] There is a maximum of 3 nested aggregations per request.
sort	body	string	FQL syntax string to sort bucket results. `_count` - sort by document count `_term` - sort by the string value alphabetically Supports `asc` and `desc` using `\|` format. Example: `_count\|desc`
time_zone	body	string	Time zone for bucket results.
type	body	string	Type of aggregation. Valid values include: `date_histogram` - Aggregates counts on a specified time interval. Requires use of “interval” field. `date_range` - Aggregates counts on custom defined date range buckets. Can include multiple ranges. (Similar to time series, but the bucket sizes are variable). Date formats to follow ISO 8601. `terms` - Buckets alerts by the value of a specified field. For example, if field used is scenario, then alerts will be bucketed by the various alert scenario names. `range` - Buckets alerts by specified (numeric) ranges of a specified field. For example, if doing a range aggregation on the max_severity field, the alerts will be counted by the specified ranges of severity. `cardinality` - Returns the count of distinct values in a specified field. `max` - Returns the maximum value of a specified field. `min` - Returns the minimum value of a specified field. `avg` - Returns the average value of the specified field. `sum` - Returns the total sum of all values for the specified field. `percentiles` - Returns the following percentiles for the specified field: `1`, `5`, `25`, `50`, `75`, `95`, `99`.

Usage

Service class example (PEP8 syntax)

from falconpy import CompleteDashboard

# Do not hardcode API credentials!
falcon = CompleteDashboard(client_id=CLIENT_ID,
                           client_secret=CLIENT_SECRET
                           )

date_ranges = [
    {
        "from": "2021-05-15T14:55:21.892315096Z",
        "to": "2021-05-17T13:42:16.493180643Z"
    }
]

ranges = [
    {
        "From": 1,
        "To": 100
    }
]

response = falcon.aggregate_sensor_update_policy(date_ranges=date_ranges,
                                                 exclude="string",
                                                 field="string",
                                                 filter="string",
                                                 from=integer,
                                                 include="string",
                                                 interval="string",
                                                 max_doc_count=integer,
                                                 min_doc_count=integer,
                                                 missing="string",
                                                 name="string",
                                                 q="string",
                                                 ranges=ranges,
                                                 size=integer,
                                                 sort="string",
                                                 time_zone="string",
                                                 type="string"
                                                 )
print(response)

Service class example (Operation ID syntax)

from falconpy import CompleteDashboard

# Do not hardcode API credentials!
falcon = CompleteDashboard(client_id=CLIENT_ID,
                           client_secret=CLIENT_SECRET
                           )

date_ranges = [
    {
        "from": "2021-05-15T14:55:21.892315096Z",
        "to": "2021-05-17T13:42:16.493180643Z"
    }
]

ranges = [
    {
        "From": 1,
        "To": 100
    }
]

response = falcon.AggregateSensorUpdatePolicy(date_ranges=date_ranges,
                                              exclude="string",
                                              field="string",
                                              filter="string",
                                              from=integer,
                                              include="string",
                                              interval="string",
                                              max_doc_count=integer,
                                              min_doc_count=integer,
                                              missing="string",
                                              name="string",
                                              q="string",
                                              ranges=ranges,
                                              size=integer,
                                              sort="string",
                                              time_zone="string",
                                              type="string"
                                              )
print(response)

Uber class example

from falconpy import APIHarnessV2

# Do not hardcode API credentials!
falcon = APIHarnessV2(client_id=CLIENT_ID,
                      client_secret=CLIENT_SECRET
                      )

date_ranges = [
    {
        "from": "2021-05-15T14:55:21.892315096Z",
        "to": "2021-05-17T13:42:16.493180643Z"
    }
]

ranges = [
    {
        "From": 1,
        "To": 100
    }
]

BODY = [{
    "date_ranges": date_ranges,
    "exclude": "string",
    "field": "string",
    "filter": "string",
    "from": integer,
    "include": "string",
    "interval": "string",
    "max_doc_count": integer,
    "min_doc_count": integer,
    "missing": "string",
    "name": "string",
    "q": "string",
    "ranges": ranges,
    "size": integer,
    "sort": "string",
    "sub_aggregates": [
        null
    ]
    "time_zone": "string",
    "type": "string"
}]

response = falcon.command("AggregateSensorUpdatePolicy", body=BODY)
print(response)

AggregateSupportIssues

Retrieve aggregate support issue values based on the matched filter

PEP8 method name

aggregate_support_issues

Endpoint

Method	Route
	`/falcon-complete-dashboards/aggregates/support-issues/v1`

Required Scope

falcon-complete-dashboard:read

Content-Type

Consumes: application/json
Produces: application/json

Keyword Arguments

Name	Type	Data type	Description
body	body	list of dictionaries	Full body payload in JSON format.
date_ranges	body	list of dictionaries	Applies to date_range aggregations. Example: [ { "from": "2016-05-28T09:00:31Z", "to": "2016-05-30T09:00:31Z" }, { "from": "2016-06-01T09:00:31Z", "to": "2016-06-10T09:00:31Z" } ]
exclude	body	string	Elements to exclude.
field	body	string	The field on which to compute the aggregation.
filter	body	string	FQL syntax formatted string to use to filter the results.
from	body	integer	Starting position.
include	body	string	Elements to include.
interval	body	string	Time interval for date histogram aggregations. Valid values include: `year` `month` `week` `day` `hour` `minute`
max_doc_count	body	integer	Only return buckets if values are less than or equal to the value here.
min_doc_count	body	integer	Only return buckets if values are greater than or equal to the value here.
missing	body	string	Missing is the value to be used when the aggregation field is missing from the object. In other words, the missing parameter defines how documents that are missing a value should be treated. By default they will be ignored, but it is also possible to treat them as if they had a value.
name	body	string	Name of the aggregate query, as chosen by the user. Used to identify the results returned to you.
q	body	string	Full text search across all metadata fields.
ranges	body	list of dictionaries	Applies to range aggregations. Ranges values will depend on field. For example, if `max_severity` is used, ranges might look like: [ { "From": 0, "To": 70 }, { "From": 70, "To": 100 } ]
size	body	integer	The max number of term buckets to be returned.
sub_aggregates	body	list of dictionaries	A nested aggregation, such as: [ { "name": "max_first_behavior", "type": "max", "field": "first_behavior" } ] There is a maximum of 3 nested aggregations per request.
sort	body	string	FQL syntax string to sort bucket results. `_count` - sort by document count `_term` - sort by the string value alphabetically Supports `asc` and `desc` using `\|` format. Example: `_count\|desc`
time_zone	body	string	Time zone for bucket results.
type	body	string	Type of aggregation. Valid values include: `date_histogram` - Aggregates counts on a specified time interval. Requires use of “interval” field. `date_range` - Aggregates counts on custom defined date range buckets. Can include multiple ranges. (Similar to time series, but the bucket sizes are variable). Date formats to follow ISO 8601. `terms` - Buckets alerts by the value of a specified field. For example, if field used is scenario, then alerts will be bucketed by the various alert scenario names. `range` - Buckets alerts by specified (numeric) ranges of a specified field. For example, if doing a range aggregation on the max_severity field, the alerts will be counted by the specified ranges of severity. `cardinality` - Returns the count of distinct values in a specified field. `max` - Returns the maximum value of a specified field. `min` - Returns the minimum value of a specified field. `avg` - Returns the average value of the specified field. `sum` - Returns the total sum of all values for the specified field. `percentiles` - Returns the following percentiles for the specified field: `1`, `5`, `25`, `50`, `75`, `95`, `99`.

Usage

Service class example (PEP8 syntax)

from falconpy import CompleteDashboard

# Do not hardcode API credentials!
falcon = CompleteDashboard(client_id=CLIENT_ID,
                           client_secret=CLIENT_SECRET
                           )

date_ranges = [
    {
        "from": "2021-05-15T14:55:21.892315096Z",
        "to": "2021-05-17T13:42:16.493180643Z"
    }
]

ranges = [
    {
        "From": 1,
        "To": 100
    }
]

response = falcon.aggregate_support_issues(date_ranges=date_ranges,
                                           exclude="string",
                                           field="string",
                                           filter="string",
                                           from=integer,
                                           include="string",
                                           interval="string",
                                           max_doc_count=integer,
                                           min_doc_count=integer,
                                           missing="string",
                                           name="string",
                                           q="string",
                                           ranges=ranges,
                                           size=integer,
                                           sort="string",
                                           time_zone="string",
                                           type="string"
                                           )
print(response)

Service class example (Operation ID syntax)

from falconpy import CompleteDashboard

# Do not hardcode API credentials!
falcon = CompleteDashboard(client_id=CLIENT_ID,
                           client_secret=CLIENT_SECRET
                           )

date_ranges = [
    {
        "from": "2021-05-15T14:55:21.892315096Z",
        "to": "2021-05-17T13:42:16.493180643Z"
    }
]

ranges = [
    {
        "From": 1,
        "To": 100
    }
]

response = falcon.AggregateSupportIssues(date_ranges=date_ranges,
                                         exclude="string",
                                         field="string",
                                         filter="string",
                                         from=integer,
                                         include="string",
                                         interval="string",
                                         max_doc_count=integer,
                                         min_doc_count=integer,
                                         missing="string",
                                         name="string",
                                         q="string",
                                         ranges=ranges,
                                         size=integer,
                                         sort="string",
                                         time_zone="string",
                                         type="string"
                                         )
print(response)

Uber class example

from falconpy import APIHarnessV2

# Do not hardcode API credentials!
falcon = APIHarnessV2(client_id=CLIENT_ID,
                      client_secret=CLIENT_SECRET
                      )

date_ranges = [
    {
        "from": "2021-05-15T14:55:21.892315096Z",
        "to": "2021-05-17T13:42:16.493180643Z"
    }
]

ranges = [
    {
        "From": 1,
        "To": 100
    }
]

BODY = [{
    "date_ranges": date_ranges,
    "exclude": "string",
    "field": "string",
    "filter": "string",
    "from": integer,
    "include": "string",
    "interval": "string",
    "max_doc_count": integer,
    "min_doc_count": integer,
    "missing": "string",
    "name": "string",
    "q": "string",
    "ranges": ranges,
    "size": integer,
    "sort": "string",
    "sub_aggregates": [
        null
    ]
    "time_zone": "string",
    "type": "string"
}]

response = falcon.command("AggregateSupportIssues", body=BODY)
print(response)

AggregateTotalDeviceCounts

Retrieve aggregate remediation ticket values based on the matched filter

PEP8 method name

aggregate_total_device_counts

Endpoint

Method	Route
	`/falcon-complete-dashboards/aggregates/total-device-counts/v1`

Required Scope

falcon-complete-dashboard:read

Content-Type

Consumes: application/json
Produces: application/json

Keyword Arguments

Name	Type	Data type	Description
body	body	list of dictionaries	Full body payload in JSON format.
date_ranges	body	list of dictionaries	Applies to date_range aggregations. Example: [ { "from": "2016-05-28T09:00:31Z", "to": "2016-05-30T09:00:31Z" }, { "from": "2016-06-01T09:00:31Z", "to": "2016-06-10T09:00:31Z" } ]
exclude	body	string	Elements to exclude.
field	body	string	The field on which to compute the aggregation.
filter	body	string	FQL syntax formatted string to use to filter the results.
from	body	integer	Starting position.
include	body	string	Elements to include.
interval	body	string	Time interval for date histogram aggregations. Valid values include: `year` `month` `week` `day` `hour` `minute`
max_doc_count	body	integer	Only return buckets if values are less than or equal to the value here.
min_doc_count	body	integer	Only return buckets if values are greater than or equal to the value here.
missing	body	string	Missing is the value to be used when the aggregation field is missing from the object. In other words, the missing parameter defines how documents that are missing a value should be treated. By default they will be ignored, but it is also possible to treat them as if they had a value.
name	body	string	Name of the aggregate query, as chosen by the user. Used to identify the results returned to you.
q	body	string	Full text search across all metadata fields.
ranges	body	list of dictionaries	Applies to range aggregations. Ranges values will depend on field. For example, if `max_severity` is used, ranges might look like: [ { "From": 0, "To": 70 }, { "From": 70, "To": 100 } ]
size	body	integer	The max number of term buckets to be returned.
sub_aggregates	body	list of dictionaries	A nested aggregation, such as: [ { "name": "max_first_behavior", "type": "max", "field": "first_behavior" } ] There is a maximum of 3 nested aggregations per request.
sort	body	string	FQL syntax string to sort bucket results. `_count` - sort by document count `_term` - sort by the string value alphabetically Supports `asc` and `desc` using `\|` format. Example: `_count\|desc`
time_zone	body	string	Time zone for bucket results.
type	body	string	Type of aggregation. Valid values include: `date_histogram` - Aggregates counts on a specified time interval. Requires use of “interval” field. `date_range` - Aggregates counts on custom defined date range buckets. Can include multiple ranges. (Similar to time series, but the bucket sizes are variable). Date formats to follow ISO 8601. `terms` - Buckets alerts by the value of a specified field. For example, if field used is scenario, then alerts will be bucketed by the various alert scenario names. `range` - Buckets alerts by specified (numeric) ranges of a specified field. For example, if doing a range aggregation on the max_severity field, the alerts will be counted by the specified ranges of severity. `cardinality` - Returns the count of distinct values in a specified field. `max` - Returns the maximum value of a specified field. `min` - Returns the minimum value of a specified field. `avg` - Returns the average value of the specified field. `sum` - Returns the total sum of all values for the specified field. `percentiles` - Returns the following percentiles for the specified field: `1`, `5`, `25`, `50`, `75`, `95`, `99`.

Usage

Service class example (PEP8 syntax)

from falconpy import CompleteDashboard

# Do not hardcode API credentials!
falcon = CompleteDashboard(client_id=CLIENT_ID,
                           client_secret=CLIENT_SECRET
                           )

date_ranges = [
    {
        "from": "2021-05-15T14:55:21.892315096Z",
        "to": "2021-05-17T13:42:16.493180643Z"
    }
]

ranges = [
    {
        "From": 1,
        "To": 100
    }
]

response = falcon.aggregate_total_device_counts(date_ranges=date_ranges,
                                                exclude="string",
                                                field="string",
                                                filter="string",
                                                from=integer,
                                                include="string",
                                                interval="string",
                                                max_doc_count=integer,
                                                min_doc_count=integer,
                                                missing="string",
                                                name="string",
                                                q="string",
                                                ranges=ranges,
                                                size=integer,
                                                sort="string",
                                                time_zone="string",
                                                type="string"
                                                )
print(response)

Service class example (Operation ID syntax)

from falconpy import CompleteDashboard

# Do not hardcode API credentials!
falcon = CompleteDashboard(client_id=CLIENT_ID,
                           client_secret=CLIENT_SECRET
                           )

date_ranges = [
    {
        "from": "2021-05-15T14:55:21.892315096Z",
        "to": "2021-05-17T13:42:16.493180643Z"
    }
]

ranges = [
    {
        "From": 1,
        "To": 100
    }
]

response = falcon.AggregateTotalDeviceCounts(date_ranges=date_ranges,
                                             exclude="string",
                                             field="string",
                                             filter="string",
                                             from=integer,
                                             include="string",
                                             interval="string",
                                             max_doc_count=integer,
                                             min_doc_count=integer,
                                             missing="string",
                                             name="string",
                                             q="string",
                                             ranges=ranges,
                                             size=integer,
                                             sort="string",
                                             time_zone="string",
                                             type="string"
                                             )
print(response)

Uber class example

from falconpy import APIHarnessV2

# Do not hardcode API credentials!
falcon = APIHarnessV2(client_id=CLIENT_ID,
                      client_secret=CLIENT_SECRET
                      )

date_ranges = [
    {
        "from": "2021-05-15T14:55:21.892315096Z",
        "to": "2021-05-17T13:42:16.493180643Z"
    }
]

ranges = [
    {
        "From": 1,
        "To": 100
    }
]

BODY = [{
    "date_ranges": date_ranges,
    "exclude": "string",
    "field": "string",
    "filter": "string",
    "from": integer,
    "include": "string",
    "interval": "string",
    "max_doc_count": integer,
    "min_doc_count": integer,
    "missing": "string",
    "name": "string",
    "q": "string",
    "ranges": ranges,
    "size": integer,
    "sort": "string",
    "sub_aggregates": [
        null
    ]
    "time_zone": "string",
    "type": "string"
}]

response = falcon.command("AggregateTotalDeviceCounts", body=BODY)
print(response)

QueryRemediationsFilter

Retrieve Alert IDs that match the provided FQL filter criteria with scrolling enabled.

PEP8 method name

query_alert_ids_by_filter

Endpoint

Method	Route
	`/falcon-complete-dashboards/queries/alerts/v1`

Required Scope

falcon-complete-dashboard:read

Content-Type

Consumes: application/json
Produces: application/json

Keyword Arguments

Name	Type	Data type	Description
filter	query	string	Optional filter and sort criteria in the form of an FQL query.
limit	query	integer	The maximum records to return. (Max: 500).
offset	query	integer	Starting index of overall result set from which to return ids.
parameters	query	dictionary	Full query string parameters payload in JSON format.
sort	query	string	The property to sort on, followed by a dot (.), followed by the sort direction, either `asc` or `desc`.

Usage

Service class example (PEP8 syntax)

from falconpy import CompleteDashboard

# Do not hardcode API credentials!
falcon = CompleteDashboard(client_id=CLIENT_ID,
                           client_secret=CLIENT_SECRET
                           )

response = falcon.query_alert_ids_by_filter(limit=integer,
                                            sort="string",
                                            filter="string",
                                            offset="string"
                                            )
print(response)

Service class example (Operation ID syntax)

from falconpy import CompleteDashboard

# Do not hardcode API credentials!
falcon = CompleteDashboard(client_id=CLIENT_ID,
                           client_secret=CLIENT_SECRET
                           )

response = falcon.QueryAlertIdsByFilter(limit=integer,
                                        sort="string",
                                        filter="string",
                                        offset="string"
                                        )
print(response)

Uber class example

from falconpy import APIHarnessV2

# Do not hardcode API credentials!
falcon = APIHarnessV2(client_id=CLIENT_ID,
                      client_secret=CLIENT_SECRET
                      )

response = falcon.command("QueryAlertIdsByFilter",
                          limit=integer,
                          sort="string",
                          filter="string",
                          offset="string"
                          )
print(response)

QueryAllowListFilter

Retrieve allowlist tickets that match the provided filter criteria with scrolling enabled

PEP8 method name

query_allow_list_filter

Endpoint

Method	Route
	`/falcon-complete-dashboards/queries/allowlist/v1`

Required Scope

falcon-complete-dashboard:read

Content-Type

Consumes: application/json
Produces: application/json

Keyword Arguments

Name	Type	Data type	Description
filter	query	string	Optional filter and sort criteria in the form of an FQL query.
limit	query	integer	The maximum records to return. (Max: 500).
offset	query	integer	Starting index of overall result set from which to return ids.
parameters	query	dictionary	Full query string parameters payload in JSON format.
sort	query	string	The property to sort on, followed by a dot (.), followed by the sort direction, either `asc` or `desc`.

Usage

Service class example (PEP8 syntax)

from falconpy import CompleteDashboard

# Do not hardcode API credentials!
falcon = CompleteDashboard(client_id=CLIENT_ID,
                           client_secret=CLIENT_SECRET
                           )

response = falcon.query_allow_list_filter(limit=integer,
                                          sort="string",
                                          filter="string",
                                          offset="string"
                                          )
print(response)

Service class example (Operation ID syntax)

from falconpy import CompleteDashboard

# Do not hardcode API credentials!
falcon = CompleteDashboard(client_id=CLIENT_ID,
                           client_secret=CLIENT_SECRET
                           )

response = falcon.QueryAllowListFilter(limit=integer,
                                       sort="string",
                                       filter="string",
                                       offset="string"
                                       )
print(response)

Uber class example

from falconpy import APIHarnessV2

# Do not hardcode API credentials!
falcon = APIHarnessV2(client_id=CLIENT_ID,
                      client_secret=CLIENT_SECRET
                      )

response = falcon.command("QueryAllowListFilter",
                          limit=integer,
                          sort="string",
                          filter="string",
                          offset="string"
                          )
print(response)

QueryBlockListFilter

Retrieve block listtickets that match the provided filter criteria with scrolling enabled

PEP8 method name

query_block_list_filter

Endpoint

Method	Route
	`/falcon-complete-dashboards/queries/blocklist/v1`

Required Scope

falcon-complete-dashboard:read

Content-Type

Consumes: application/json
Produces: application/json

Keyword Arguments

Name	Type	Data type	Description
filter	query	string	Optional filter and sort criteria in the form of an FQL query.
limit	query	integer	The maximum records to return. (Max: 500).
offset	query	integer	Starting index of overall result set from which to return ids.
parameters	query	dictionary	Full query string parameters payload in JSON format.
sort	query	string	The property to sort on, followed by a dot (.), followed by the sort direction, either `asc` or `desc`.

Usage

Service class example (PEP8 syntax)

from falconpy import CompleteDashboard

# Do not hardcode API credentials!
falcon = CompleteDashboard(client_id=CLIENT_ID,
                           client_secret=CLIENT_SECRET
                           )

response = falcon.query_block_list_filter(limit=integer,
                                          sort="string",
                                          filter="string",
                                          offset="string"
                                          )
print(response)

Service class example (Operation ID syntax)

from falconpy import CompleteDashboard

# Do not hardcode API credentials!
falcon = CompleteDashboard(client_id=CLIENT_ID,
                           client_secret=CLIENT_SECRET
                           )

response = falcon.QueryBlockListFilter(limit=integer,
                                       sort="string",
                                       filter="string",
                                       offset="string"
                                       )
print(response)

Uber class example

from falconpy import APIHarnessV2

# Do not hardcode API credentials!
falcon = APIHarnessV2(client_id=CLIENT_ID,
                      client_secret=CLIENT_SECRET
                      )

response = falcon.command("QueryBlockListFilter",
                          limit=integer,
                          sort="string",
                          filter="string",
                          offset="string"
                          )
print(response)

QueryDetectionIdsByFilter

Retrieve DetectionsIds that match the provided FQL filter, criteria with scrolling enabled

PEP8 method name

query_detection_ids_by_filter

Endpoint

Method	Route
	`/falcon-complete-dashboards/queries/detects/v1`

Required Scope

falcon-complete-dashboard:read

Content-Type

Consumes: application/json
Produces: application/json

Keyword Arguments

Name	Type	Data type	Description
filter	query	string	Optional filter and sort criteria in the form of an FQL query.
limit	query	integer	The maximum records to return. (Max: 500).
offset	query	integer	Starting index of overall result set from which to return ids.
parameters	query	dictionary	Full query string parameters payload in JSON format.
sort	query	string	The property to sort on, followed by a dot (.), followed by the sort direction, either `asc` or `desc`.

Usage

Service class example (PEP8 syntax)

from falconpy import CompleteDashboard

# Do not hardcode API credentials!
falcon = CompleteDashboard(client_id=CLIENT_ID,
                           client_secret=CLIENT_SECRET
                           )

response = falcon.query_detection_ids_by_filter(limit=integer,
                                                sort="string",
                                                filter="string",
                                                offset="string"
                                                )
print(response)

Service class example (Operation ID syntax)

from falconpy import CompleteDashboard

# Do not hardcode API credentials!
falcon = CompleteDashboard(client_id=CLIENT_ID,
                           client_secret=CLIENT_SECRET
                           )

response = falcon.QueryDetectionIdsByFilter(limit=integer,
                                            sort="string",
                                            filter="string",
                                            offset="string"
                                            )
print(response)

Uber class example

from falconpy import APIHarnessV2

# Do not hardcode API credentials!
falcon = APIHarnessV2(client_id=CLIENT_ID,
                      client_secret=CLIENT_SECRET
                      )

response = falcon.command("QueryDetectionIdsByFilter",
                          limit=integer,
                          sort="string",
                          filter="string",
                          offset="string"
                          )
print(response)

GetDeviceCountCollectionQueriesByFilter

Retrieve device count collection Ids that match the provided FQL filter, criteria with scrolling enabled

PEP8 method name

get_device_count_collection_queries_by_filter

Endpoint

Method	Route
	`/falcon-complete-dashboards/queries/devicecount-collections/v1`

Required Scope

falcon-complete-dashboard:read

Content-Type

Consumes: application/json
Produces: application/json

Keyword Arguments

Name	Type	Data type	Description
filter	query	string	Optional filter and sort criteria in the form of an FQL query.
limit	query	integer	The maximum records to return. (Max: 500).
offset	query	integer	Starting index of overall result set from which to return ids.
parameters	query	dictionary	Full query string parameters payload in JSON format.
sort	query	string	The property to sort on, followed by a dot (.), followed by the sort direction, either `asc` or `desc`.

Usage

Service class example (PEP8 syntax)

from falconpy import CompleteDashboard

# Do not hardcode API credentials!
falcon = CompleteDashboard(client_id=CLIENT_ID,
                           client_secret=CLIENT_SECRET
                           )

response = falcon.get_device_count_collection_queries_by_filter(limit=integer,
                                                                sort="string",
                                                                filter="string",
                                                                offset="string"
                                                                )
print(response)

Service class example (Operation ID syntax)

from falconpy import CompleteDashboard

# Do not hardcode API credentials!
falcon = CompleteDashboard(client_id=CLIENT_ID,
                           client_secret=CLIENT_SECRET
                           )

response = falcon.GetDeviceCountCollectionQueriesByFilter(limit=integer,
                                                          sort="string",
                                                          filter="string",
                                                          offset="string"
                                                          )
print(response)

Uber class example

from falconpy import APIHarnessV2

# Do not hardcode API credentials!
falcon = APIHarnessV2(client_id=CLIENT_ID,
                      client_secret=CLIENT_SECRET
                      )

response = falcon.command("GetDeviceCountCollectionQueriesByFilter",
                          limit=integer,
                          sort="string",
                          filter="string",
                          offset="string"
                          )
print(response)

QueryEscalationsFilter

Retrieve escalation tickets that match the provided filter criteria with scrolling enabled

PEP8 method name

query_escalations_filter

Endpoint

Method	Route
	`/falcon-complete-dashboards/queries/escalations/v1`

Required Scope

falcon-complete-dashboard:read

Content-Type

Consumes: application/json
Produces: application/json

Keyword Arguments

Name	Type	Data type	Description
filter	query	string	Optional filter and sort criteria in the form of an FQL query.
limit	query	integer	The maximum records to return. (Max: 500).
offset	query	integer	Starting index of overall result set from which to return ids.
parameters	query	dictionary	Full query string parameters payload in JSON format.
sort	query	string	The property to sort on, followed by a dot (.), followed by the sort direction, either `asc` or `desc`.

Usage

Service class example (PEP8 syntax)

from falconpy import CompleteDashboard

# Do not hardcode API credentials!
falcon = CompleteDashboard(client_id=CLIENT_ID,
                           client_secret=CLIENT_SECRET
                           )

response = falcon.query_escalations_filter(limit=integer,
                                           sort="string",
                                           filter="string",
                                           offset="string"
                                           )
print(response)

Service class example (Operation ID syntax)

from falconpy import CompleteDashboard

# Do not hardcode API credentials!
falcon = CompleteDashboard(client_id=CLIENT_ID,
                           client_secret=CLIENT_SECRET
                           )

response = falcon.QueryEscalationsFilter(limit=integer,
                                         sort="string",
                                         filter="string",
                                         offset="string"
                                         )
print(response)

Uber class example

from falconpy import APIHarnessV2

# Do not hardcode API credentials!
falcon = APIHarnessV2(client_id=CLIENT_ID,
                      client_secret=CLIENT_SECRET
                      )

response = falcon.command("QueryEscalationsFilter",
                          limit=integer,
                          sort="string",
                          filter="string",
                          offset="string"
                          )
print(response)

QueryIncidentIdsByFilter

Retrieve incidents that match the provided filter criteria with scrolling enabled

PEP8 method name

query_incident_ids_by_filter

Endpoint

Method	Route
	`/falcon-complete-dashboards/queries/incidents/v1`

Required Scope

falcon-complete-dashboard:read

Content-Type

Consumes: application/json
Produces: application/json

Keyword Arguments

Name	Type	Data type	Description
filter	query	string	Optional filter and sort criteria in the form of an FQL query.
limit	query	integer	The maximum records to return. (Max: 500).
offset	query	integer	Starting index of overall result set from which to return ids.
parameters	query	dictionary	Full query string parameters payload in JSON format.
sort	query	string	The property to sort on, followed by a dot (.), followed by the sort direction, either `asc` or `desc`.

Usage

Service class example (PEP8 syntax)

from falconpy import CompleteDashboard

# Do not hardcode API credentials!
falcon = CompleteDashboard(client_id=CLIENT_ID,
                           client_secret=CLIENT_SECRET
                           )

response = falcon.query_incident_ids_by_filter(limit=integer,
                                               sort="string",
                                               filter="string",
                                               offset="string"
                                               )
print(response)

Service class example (Operation ID syntax)

from falconpy import CompleteDashboard

# Do not hardcode API credentials!
falcon = CompleteDashboard(client_id=CLIENT_ID,
                           client_secret=CLIENT_SECRET
                           )

response = falcon.QueryIncidentIdsByFilter(limit=integer,
                                           sort="string",
                                           filter="string",
                                           offset="string"
                                           )
print(response)

Uber class example

from falconpy import APIHarnessV2

# Do not hardcode API credentials!
falcon = APIHarnessV2(client_id=CLIENT_ID,
                      client_secret=CLIENT_SECRET
                      )

response = falcon.command("QueryIncidentIdsByFilter",
                          limit=integer,
                          sort="string",
                          filter="string",
                          offset="string"
                          )
print(response)

QueryRemediationsFilter

Retrieve remediation tickets that match the provided filter criteria with scrolling enabled

PEP8 method name

query_remediations_filter

Endpoint

Method	Route
	`/falcon-complete-dashboards/queries/remediations/v1`

Required Scope

falcon-complete-dashboard:read

Content-Type

Consumes: application/json
Produces: application/json

Keyword Arguments

Name	Type	Data type	Description
filter	query	string	Optional filter and sort criteria in the form of an FQL query.
limit	query	integer	The maximum records to return. (Max: 500).
offset	query	integer	Starting index of overall result set from which to return ids.
parameters	query	dictionary	Full query string parameters payload in JSON format.
sort	query	string	The property to sort on, followed by a dot (.), followed by the sort direction, either `asc` or `desc`.

Usage

Service class example (PEP8 syntax)

from falconpy import CompleteDashboard

# Do not hardcode API credentials!
falcon = CompleteDashboard(client_id=CLIENT_ID,
                           client_secret=CLIENT_SECRET
                           )

response = falcon.query_remediations_filter(limit=integer,
                                            sort="string",
                                            filter="string",
                                            offset="string"
                                            )
print(response)

Service class example (Operation ID syntax)

from falconpy import CompleteDashboard

# Do not hardcode API credentials!
falcon = CompleteDashboard(client_id=CLIENT_ID,
                           client_secret=CLIENT_SECRET
                           )

response = falcon.QueryRemediationsFilter(limit=integer,
                                          sort="string",
                                          filter="string",
                                          offset="string"
                                          )
print(response)

Uber class example

from falconpy import APIHarnessV2

# Do not hardcode API credentials!
falcon = APIHarnessV2(client_id=CLIENT_ID,
                      client_secret=CLIENT_SECRET
                      )

response = falcon.command("QueryRemediationsFilter",
                          limit=integer,
                          sort="string",
                          filter="string",
                          offset="string"
                          )
print(response)

Falcon Complete Dashboard - CrowdStrike/falconpy GitHub Wiki

Using the Falcon Complete Dashboard service collection

Table of Contents

Passing credentials

AggregateAlerts

PEP8 method name

Endpoint

Required Scope

Content-Type

Keyword Arguments

Usage

Service class example (PEP8 syntax)

Service class example (Operation ID syntax)

Uber class example

AggregateAllowList

PEP8 method name

Endpoint

Required Scope

Content-Type

Keyword Arguments

Usage

Service class example (PEP8 syntax)

Service class example (Operation ID syntax)

Uber class example

AggregateBlockList

PEP8 method name

Endpoint

Required Scope

Content-Type

Keyword Arguments

Usage

Service class example (PEP8 syntax)

Service class example (Operation ID syntax)

Uber class example

AggregateDetections

PEP8 method name

Endpoint

Required Scope

Content-Type

Keyword Arguments

Usage

Service class example (PEP8 syntax)

Service class example (Operation ID syntax)

Uber class example

AggregateDeviceCountCollection

PEP8 method name

Endpoint

Required Scope

Content-Type

Keyword Arguments

Usage

Service class example (PEP8 syntax)

Service class example (Operation ID syntax)

Uber class example

AggregateEscalations

PEP8 method name

Endpoint

Required Scope

Content-Type

Keyword Arguments

Usage

Service class example (PEP8 syntax)

Service class example (Operation ID syntax)

Uber class example

AggregateFCIncidents

PEP8 method name

Endpoint

Required Scope

Content-Type

Keyword Arguments

Usage

Service class example (PEP8 syntax)

Service class example (Operation ID syntax)

Uber class example

AggregateRemediations

PEP8 method name

Endpoint

Required Scope

Content-Type

Keyword Arguments