Get a dataset
警告Note: This endpoint is in preview and is subject to change.
If you have any feedback, contact Datadog support.
GET
https://api.datadoghq.com/api/v2/security_monitoring/datasets/{dataset_id}https://api.us3.datadoghq.com/api/v2/security_monitoring/datasets/{dataset_id}https://api.us5.datadoghq.com/api/v2/security_monitoring/datasets/{dataset_id}https://api.datadoghq.eu/api/v2/security_monitoring/datasets/{dataset_id}https://api.ap1.datadoghq.com/api/v2/security_monitoring/datasets/{dataset_id}https://api.ap2.datadoghq.com/api/v2/security_monitoring/datasets/{dataset_id}https://api.uk1.datadoghq.com/api/v2/security_monitoring/datasets/{dataset_id}https://api.ddog-gov.com/api/v2/security_monitoring/datasets/{dataset_id}https://api.us2.ddog-gov.com/api/v2/security_monitoring/datasets/{dataset_id}概要
Get the current version of a Cloud SIEM dataset by ID.
OAuth apps require the security_monitoring_rules_read authorization scope to access this endpoint.
引数
パスパラメーター
名前
タイプ
説明
dataset_id [required]string
The UUID of the dataset.
応答
OK
Response containing a single Cloud SIEM dataset.
フィールド
タイプ
説明
data [required]object
The data wrapper of a dataset response.
attributes [required]object
The attributes of a Cloud SIEM dataset.
createdAt [required]string
The creation timestamp of the dataset, in ISO 8601 format.
createdByHandle [required]string
The Datadog handle of the user who created the dataset.
createdByName [required]string
The display name of the user who created the dataset.
definition [required]object
The definition of the dataset. The shape depends on the value of data_source.
Use reference_table or managed_resource for a referential dataset, or one of the
event platform sources (for example logs, audit, events, spans, rum) for
an event platform dataset.
columns[object]
For event platform datasets, the list of columns exposed by the dataset.
column [required]string
The name of the column.
type [required]string
The type of the column value.
data_source [required]string
The data source backing this dataset definition.
indexes[string]
For event platform datasets, the list of indexes to query.
name [required]string
The unique name of the dataset. Must start with a lowercase letter and contain only lowercase letters, digits, and underscores (max 255 characters).
query_filterstring
For referential datasets, an optional filter expression applied to the table.
searchobject
The search clause applied to an event platform dataset.
query [required]string
The search query expression.
storagestring
Storage tier the dataset reads from. Applies to event platform datasets.
table_namestring
For referential datasets, the name of the underlying table.
time_windowobject
An optional time window that overrides the default query time range.
fromint64
Inclusive start of the time window, in milliseconds since the Unix epoch.
toint64
Exclusive end of the time window, in milliseconds since the Unix epoch.
description [required]string
The description of the dataset.
id [required]string
The UUID of the dataset.
isDefault [required]boolean
Whether the dataset is an out-of-the-box dataset provided by Datadog.
isDeprecated [required]boolean
Whether the dataset is marked as deprecated.
modifiedAt [required]string
The timestamp of the last modification of the dataset, in ISO 8601 format.
name [required]string
The unique name of the dataset.
updatedByHandle [required]string
The Datadog handle of the user who last updated the dataset.
updatedByName [required]string
The display name of the user who last updated the dataset.
version [required]int64
The current version of the dataset.
id [required]string
The UUID of the dataset.
type [required]enum
The type of resource for a dataset response.
Allowed enum values:
dataset{
"data": {
"attributes": {
"createdAt": "2025-03-20T10:00:00Z",
"createdByHandle": "bruce.lee",
"createdByName": "Bruce Lee",
"definition": {
"columns": [
{
"column": "message",
"type": "string"
}
],
"data_source": "logs",
"indexes": [],
"name": "sample_dataset",
"query_filter": "status = 'active'",
"search": {
"query": "*"
},
"storage": "hot",
"table_name": "my_reference_table",
"time_window": {
"from": 1700000000000,
"to": 1700003600000
}
},
"description": "A sample dataset used for detection rules.",
"id": "123e4567-e89b-12d3-a456-426614174000",
"isDefault": false,
"isDeprecated": false,
"modifiedAt": "2025-03-20T10:00:00Z",
"name": "sample_dataset",
"updatedByHandle": "bruce.lee",
"updatedByName": "Bruce Lee",
"version": 1
},
"id": "123e4567-e89b-12d3-a456-426614174000",
"type": "dataset"
}
}Bad Request
API error response.
フィールド
タイプ
説明
errors [required][object]
A list of errors.
detailstring
A human-readable explanation specific to this occurrence of the error.
metaobject
Non-standard meta-information about the error
sourceobject
References to the source of the error.
headerstring
A string indicating the name of a single request header which caused the error.
parameterstring
A string indicating which URI query parameter caused the error.
pointerstring
A JSON pointer to the value in the request document that caused the error.
statusstring
Status code of the response.
titlestring
Short human-readable summary of the error.
{
"errors": [
{
"detail": "Missing required attribute in body",
"meta": {},
"source": {
"header": "Authorization",
"parameter": "limit",
"pointer": "/data/attributes/title"
},
"status": "400",
"title": "Bad Request"
}
]
}Forbidden
API error response.
フィールド
タイプ
説明
errors [required][object]
A list of errors.
detailstring
A human-readable explanation specific to this occurrence of the error.
metaobject
Non-standard meta-information about the error
sourceobject
References to the source of the error.
headerstring
A string indicating the name of a single request header which caused the error.
parameterstring
A string indicating which URI query parameter caused the error.
pointerstring
A JSON pointer to the value in the request document that caused the error.
statusstring
Status code of the response.
titlestring
Short human-readable summary of the error.
{
"errors": [
{
"detail": "Missing required attribute in body",
"meta": {},
"source": {
"header": "Authorization",
"parameter": "limit",
"pointer": "/data/attributes/title"
},
"status": "400",
"title": "Bad Request"
}
]
}Not Found
API error response.
フィールド
タイプ
説明
errors [required][object]
A list of errors.
detailstring
A human-readable explanation specific to this occurrence of the error.
metaobject
Non-standard meta-information about the error
sourceobject
References to the source of the error.
headerstring
A string indicating the name of a single request header which caused the error.
parameterstring
A string indicating which URI query parameter caused the error.
pointerstring
A JSON pointer to the value in the request document that caused the error.
statusstring
Status code of the response.
titlestring
Short human-readable summary of the error.
{
"errors": [
{
"detail": "Missing required attribute in body",
"meta": {},
"source": {
"header": "Authorization",
"parameter": "limit",
"pointer": "/data/attributes/title"
},
"status": "400",
"title": "Bad Request"
}
]
}Too many requests
API error response.
フィールド
タイプ
説明
errors [required][string]
A list of errors.
{
"errors": [
"Bad Request"
]
}コード例
# Path parameters
export dataset_id="123e4567-e89b-12d3-a456-426614174000"
# Set your Datadog site and credentials
export DD_SITE="datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v2/security_monitoring/datasets/${dataset_id}" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Path parameters
export dataset_id="123e4567-e89b-12d3-a456-426614174000"
# Set your Datadog site and credentials
export DD_SITE="us3.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v2/security_monitoring/datasets/${dataset_id}" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Path parameters
export dataset_id="123e4567-e89b-12d3-a456-426614174000"
# Set your Datadog site and credentials
export DD_SITE="us5.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v2/security_monitoring/datasets/${dataset_id}" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Path parameters
export dataset_id="123e4567-e89b-12d3-a456-426614174000"
# Set your Datadog site and credentials
export DD_SITE="datadoghq.eu"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v2/security_monitoring/datasets/${dataset_id}" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Path parameters
export dataset_id="123e4567-e89b-12d3-a456-426614174000"
# Set your Datadog site and credentials
export DD_SITE="ap1.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v2/security_monitoring/datasets/${dataset_id}" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Path parameters
export dataset_id="123e4567-e89b-12d3-a456-426614174000"
# Set your Datadog site and credentials
export DD_SITE="ap2.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v2/security_monitoring/datasets/${dataset_id}" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Path parameters
export dataset_id="123e4567-e89b-12d3-a456-426614174000"
# Set your Datadog site and credentials
export DD_SITE="uk1.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v2/security_monitoring/datasets/${dataset_id}" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Path parameters
export dataset_id="123e4567-e89b-12d3-a456-426614174000"
# Set your Datadog site and credentials
export DD_SITE="ddog-gov.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v2/security_monitoring/datasets/${dataset_id}" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Path parameters
export dataset_id="123e4567-e89b-12d3-a456-426614174000"
# Set your Datadog site and credentials
export DD_SITE="us2.ddog-gov.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v2/security_monitoring/datasets/${dataset_id}" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"// Get a dataset returns "OK" response
package main
import (
"context"
"encoding/json"
"fmt"
"os"
"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
"github.com/DataDog/datadog-api-client-go/v2/api/datadogV2"
)
func main() {
ctx := datadog.NewDefaultContext(context.Background())
ctx = context.WithValue(ctx, datadog.ContextAccessToken, os.Getenv("DD_BEARER_TOKEN"))
configuration := datadog.NewConfiguration()
configuration.SetUnstableOperationEnabled("v2.GetSecurityMonitoringDataset", true)
apiClient := datadog.NewAPIClient(configuration)
api := datadogV2.NewSecurityMonitoringApi(apiClient)
resp, r, err := api.GetSecurityMonitoringDataset(ctx, "123e4567-e89b-12d3-a456-426614174000")
if err != nil {
fmt.Fprintf(os.Stderr, "Error when calling `SecurityMonitoringApi.GetSecurityMonitoringDataset`: %v\n", err)
fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
}
responseContent, _ := json.MarshalIndent(resp, "", " ")
fmt.Fprintf(os.Stdout, "Response from `SecurityMonitoringApi.GetSecurityMonitoringDataset`:\n%s\n", responseContent)
}
Instructions
First install the library and its dependencies and then save the example to main.go and run following commands:
DD_SITE="datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="us3.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="us5.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="datadoghq.eu" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="ap1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="ap2.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="uk1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="us2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"// Get a dataset returns "OK" response
import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.SecurityMonitoringApi;
import com.datadog.api.client.v2.model.SecurityMonitoringDatasetResponse;
public class Example {
public static void main(String[] args) {
ApiClient defaultClient = ApiClient.getDefaultApiClient();
defaultClient.setAccessToken(System.getenv("DD_BEARER_TOKEN"));
defaultClient.setUnstableOperationEnabled("v2.getSecurityMonitoringDataset", true);
SecurityMonitoringApi apiInstance = new SecurityMonitoringApi(defaultClient);
try {
SecurityMonitoringDatasetResponse result =
apiInstance.getSecurityMonitoringDataset("123e4567-e89b-12d3-a456-426614174000");
System.out.println(result);
} catch (ApiException e) {
System.err.println(
"Exception when calling SecurityMonitoringApi#getSecurityMonitoringDataset");
System.err.println("Status code: " + e.getCode());
System.err.println("Reason: " + e.getResponseBody());
System.err.println("Response headers: " + e.getResponseHeaders());
e.printStackTrace();
}
}
}
Instructions
First install the library and its dependencies and then save the example to Example.java and run following commands:
DD_SITE="datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="us3.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="us5.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="datadoghq.eu" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="ap1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="ap2.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="uk1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="us2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java""""
Get a dataset returns "OK" response
"""
from os import environ
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.security_monitoring_api import SecurityMonitoringApi
configuration = Configuration()
configuration.access_token = environ["DD_BEARER_TOKEN"]
configuration.unstable_operations["get_security_monitoring_dataset"] = True
with ApiClient(configuration) as api_client:
api_instance = SecurityMonitoringApi(api_client)
response = api_instance.get_security_monitoring_dataset(
dataset_id="123e4567-e89b-12d3-a456-426614174000",
)
print(response)
Instructions
First install the library and its dependencies and then save the example to example.py and run following commands:
DD_SITE="datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="us3.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="us5.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="datadoghq.eu" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="ap1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="ap2.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="uk1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="us2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"# Get a dataset returns "OK" response
require "datadog_api_client"
DatadogAPIClient.configure do |config|
config.access_token = ENV["DD_BEARER_TOKEN"]
config.unstable_operations["v2.get_security_monitoring_dataset".to_sym] = true
end
api_instance = DatadogAPIClient::V2::SecurityMonitoringAPI.new
p api_instance.get_security_monitoring_dataset("123e4567-e89b-12d3-a456-426614174000")
Instructions
First install the library and its dependencies and then save the example to example.rb and run following commands:
DD_SITE="datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="us3.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="us5.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="datadoghq.eu" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="ap1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="ap2.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="uk1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="us2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"// Get a dataset returns "OK" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_security_monitoring::SecurityMonitoringAPI;
#[tokio::main]
async fn main() {
let mut configuration = datadog::Configuration::new();
configuration.set_unstable_operation_enabled("v2.get_security_monitoring_dataset", true);
let api = SecurityMonitoringAPI::with_config(configuration);
let resp = api
.get_security_monitoring_dataset("123e4567-e89b-12d3-a456-426614174000".to_string())
.await;
if let Ok(value) = resp {
println!("{:#?}", value);
} else {
println!("{:#?}", resp.unwrap_err());
}
}
Instructions
First install the library and its dependencies and then save the example to src/main.rs and run following commands:
DD_SITE="datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="us3.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="us5.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="datadoghq.eu" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="ap1.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="ap2.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="uk1.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="ddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="us2.ddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run/**
* Get a dataset returns "OK" response
*/
import { client, v2 } from "@datadog/datadog-api-client";
const configuration = client.createConfiguration({
authMethods: {
AuthZ: {
accessToken: process.env.DD_BEARER_TOKEN as string,
},
},
});
configuration.unstableOperations["v2.getSecurityMonitoringDataset"] = true;
const apiInstance = new v2.SecurityMonitoringApi(configuration);
const params: v2.SecurityMonitoringApiGetSecurityMonitoringDatasetRequest = {
datasetId: "123e4567-e89b-12d3-a456-426614174000",
};
apiInstance
.getSecurityMonitoringDataset(params)
.then((data: v2.SecurityMonitoringDatasetResponse) => {
console.log(
"API called successfully. Returned data: " + JSON.stringify(data)
);
})
.catch((error: any) => console.error(error));
Instructions
First install the library and its dependencies and then save the example to example.ts and run following commands:
DD_SITE="datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="us3.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="us5.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="datadoghq.eu" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="ap1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="ap2.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="uk1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="us2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"