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Cloud Security Registration Combined

Operations for the Cloud Security Registration Combined service collection.

LanguageLast Update
Pythonv1.6.5
PowerShell
Gov0.22.0
TypeScriptv0.6.0
Rust
Rubyv1.4.0

OperationDescription
cloud-registration-cross-provider-get-account-aggregates
cloud_registration_cross_provider_get_account_aggregates
Returns cross-provider account aggregates by status

cloud-registration-cross-provider-get-account-aggregates

Section titled “cloud-registration-cross-provider-get-account-aggregates”

Returns cross-provider account aggregates by status

Method POST
Route /cloud-security-registration/aggregates/accounts/v1
Scope Cloud Registration: WRITE
PEP 8 cloud_registration_cross_provider_get_account_aggregates
body body · dictionary
Full body payload as JSON formatted dictionary.
date_ranges body · array
List of date range objects.
exclude body · string
extended_bounds body · object
field body · string
The field to aggregate on.
filter body · string
FQL filter expression.
filters_spec body · object
from body · integer
include body · string
interval body · string
Time interval for aggregation.
max_doc_count body · integer
min_doc_count body · integer
Minimum document count threshold.
missing body · string
Missing value handling.
name body · string
Name of the aggregation.
percents body · array
q body · string
Full text search across all metadata fields.
ranges body · array
List of range objects.
size body · integer
Maximum number of results.
sort body · string
Sort expression.
sub_aggregates body · array
List of sub-aggregate expressions.
time_zone body · string
Time zone for date operations.
type body · string
Type of aggregation (terms, date_histogram, etc.)
from falconpy import CloudSecurityRegistrationCombined
falcon = CloudSecurityRegistrationCombined(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
date_ranges = [
{
"from": "string",
"to": "string"
}
]
ranges = [
{
"From": 0,
"To": 0
}
]
response = falcon.cloud_registration_cross_provider_get_account_aggregates(date_ranges=date_ranges,
field="string",
filter="string",
interval="string",
min_doc_count=integer,
missing="string",
name="string",
q="string",
ranges=ranges,
size=integer,
sort="string",
sub_aggregates=["string"],
time_zone="string",
type="string")
print(response)
[
{
"buckets": [],
"name": "string"
}
]