Using the Falcon Complete Dashboard service collection
Table of Contents
| Operation ID | Description | ||||
|---|---|---|---|---|---|
| Retrieve aggregate alerts values based on the matched filter | ||||
| Retrieve aggregate allowlist ticket values based on the matched filter | ||||
| Retrieve aggregate blocklist ticket values based on the matched filter | ||||
| Retrieve aggregate detection values based on the matched filter | ||||
| Retrieve aggregate host/devices count based on the matched filter | ||||
| Retrieve aggregate escalation ticket values based on the matched filter | ||||
| Retrieve aggregate incident values based on the matched filter | ||||
| Retrieve aggregate remediation ticket values based on the matched filter | ||||
| Retrieve aggregate prevention policy values based on the matched filter | ||||
| Retrieve aggregate sensor update policy values based on the matched filter | ||||
| Retrieve aggregate support issue values based on the matched filter | ||||
| Retrieve aggregate total host/devices based on the matched filter | ||||
| Retrieve Alert IDs that amtch the provided FQL filter criteria with scrolling enabled | ||||
| Retrieve allowlist tickets that match the provided filter criteria with scrolling enabled | ||||
| Retrieve block listtickets that match the provided filter criteria with scrolling enabled | ||||
| Retrieve DetectionsIds that match the provided FQL filter, criteria with scrolling enabled | ||||
| Retrieve device count collection Ids that match the provided FQL filter, criteria with scrolling enabled | ||||
| Retrieve escalation tickets that match the provided filter criteria with scrolling enabled | ||||
| Retrieve incidents that match the provided filter criteria with scrolling enabled | ||||
| Retrieve remediation tickets that match the provided filter criteria with scrolling enabled | ||||
Passing credentials
WARNING
client_idandclient_secretare 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 |
Content-Type
- Consumes: application/json
- Produces: application/json
Keyword Arguments
| Name | Service | Uber | 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:
|
| 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.
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:
|
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 |
Content-Type
- Consumes: application/json
- Produces: application/json
Keyword Arguments
| Name | Service | Uber | 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:
|
| 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.
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:
|
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 |
Content-Type
- Consumes: application/json
- Produces: application/json
Keyword Arguments
| Name | Service | Uber | 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:
|
| 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.
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:
|
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 |
Content-Type
- Consumes: application/json
- Produces: application/json
Keyword Arguments
| Name | Service | Uber | 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:
|
| 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.
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:
|
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 |
Content-Type
- Consumes: application/json
- Produces: application/json
Keyword Arguments
| Name | Service | Uber | 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:
|
| 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.
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:
|
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 |
Content-Type
- Consumes: application/json
- Produces: application/json
Keyword Arguments
| Name | Service | Uber | 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:
|
| 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.
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:
|
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 |
Content-Type
- Consumes: application/json
- Produces: application/json
Keyword Arguments
| Name | Service | Uber | 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:
|
| 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.
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:
|
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 |
Content-Type
- Consumes: application/json
- Produces: application/json
Keyword Arguments
| Name | Service | Uber | 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:
|
| 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.
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:
|
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 |
Content-Type
- Consumes: application/json
- Produces: application/json
Keyword Arguments
| Name | Service | Uber | 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:
|
| 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.
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:
|
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 |
Content-Type
- Consumes: application/json
- Produces: application/json
Keyword Arguments
| Name | Service | Uber | 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:
|
| 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.
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:
|
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 |
Content-Type
- Consumes: application/json
- Produces: application/json
Keyword Arguments
| Name | Service | Uber | 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:
|
| 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.
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:
|
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 |
Content-Type
- Consumes: application/json
- Produces: application/json
Keyword Arguments
| Name | Service | Uber | 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:
|
| 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.
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:
|
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 |
Content-Type
- Consumes: application/json
- Produces: application/json
Keyword Arguments
| Name | Service | Uber | 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 |
Content-Type
- Consumes: application/json
- Produces: application/json
Keyword Arguments
| Name | Service | Uber | 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 |
Content-Type
- Consumes: application/json
- Produces: application/json
Keyword Arguments
| Name | Service | Uber | 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 |
Content-Type
- Consumes: application/json
- Produces: application/json
Keyword Arguments
| Name | Service | Uber | 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 |
Content-Type
- Consumes: application/json
- Produces: application/json
Keyword Arguments
| Name | Service | Uber | 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 |
Content-Type
- Consumes: application/json
- Produces: application/json
Keyword Arguments
| Name | Service | Uber | 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 |
Content-Type
- Consumes: application/json
- Produces: application/json
Keyword Arguments
| Name | Service | Uber | 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 |
Content-Type
- Consumes: application/json
- Produces: application/json
Keyword Arguments
| Name | Service | Uber | 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)