Usage Metering

The usage metering API allows you to get hourly, daily, and monthly usage across multiple facets of Datadog. This API is available to all Pro and Enterprise customers. Usage is only accessible for parent-level organizations.

Note: Usage data is delayed by up to 72 hours from when it was incurred. It is retained for 15 months.

You can retrieve up to 24 hours of hourly usage data for multiple organizations, and up to two months of hourly usage data for a single organization in one request.

Get hourly usage by product family

v2 (latest)

GET https://api.datadoghq.eu/api/v2/usage/hourly_usagehttps://api.ddog-gov.com/api/v2/usage/hourly_usagehttps://api.datadoghq.com/api/v2/usage/hourly_usagehttps://api.us3.datadoghq.com/api/v2/usage/hourly_usagehttps://api.us5.datadoghq.com/api/v2/usage/hourly_usage

Overview

Get hourly usage by product family. This endpoint requires the usage_read authorization scope.

Arguments

Query Strings

Name

Type

Description

filter[timestamp][start] [required]

string

Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage beginning at this hour.

filter[timestamp][end]

string

Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage ending before this hour.

filter[product_families] [required]

string

Comma separated list of product families to retrieve. Available families are all, analyzed_logs, application_security, audit_logs, audit_trail, serverless, ci_app, cloud_cost_management, cspm, custom_events, cws, dbm, fargate, infra_hosts, incident_management, indexed_logs, indexed_spans, ingested_spans, iot, lambda_traced_invocations, logs, network_flows, network_hosts, observability_pipelines, online_archive, profiling, rum, rum_browser_sessions, rum_mobile_sessions, sds, snmp, synthetics_api, synthetics_browser, synthetics_parallel_testing, and timeseries.

filter[include_descendants]

boolean

Include child org usage in the response. Defaults to false.

filter[versions]

string

Comma separated list of product family versions to use in the format product_family:version. For example, infra_hosts:1.0.0. If this parameter is not used, the API will use the latest version of each requested product family. Currently all families have one version 1.0.0.

page[limit]

integer

Maximum number of results to return (between 1 and 500) - defaults to 500 if limit not specified.

page[next_record_id]

string

List following results with a next_record_id provided in the previous query.

Response

Hourly usage response.

Expand All

Field

Type

Description

data

[object]

Response containing hourly usage.

Code Example

# Required query arguments
export filter[timestamp][start]="CHANGE_ME"
export filter[product_families]="CHANGE_ME"
# Curl command
curl -X GET "https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v2/usage/hourly_usage?filter[timestamp][start]=${filter[timestamp][start]}&filter[product_families]=${filter[product_families]}" \
-H "Accept: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}"



           

"""
Get hourly usage by product family returns "OK" response
"""

from datetime import datetime
from dateutil.relativedelta import relativedelta
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.usage_metering_api import UsageMeteringApi

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = UsageMeteringApi(api_client)
    response = api_instance.get_hourly_usage(
        filter_timestamp_start=(datetime.now() + relativedelta(days=-3)),
        filter_product_families="infra_hosts",
    )

    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.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python3 "example.py"

# Get hourly usage by product family returns "OK" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V2::UsageMeteringAPI.new
p api_instance.get_hourly_usage((Time.now + -3 * 86400), "infra_hosts")

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"

// Get hourly usage by product family returns "OK" response

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"os"
	"time"

	"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())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV2.NewUsageMeteringApi(apiClient)
	resp, r, err := api.GetHourlyUsage(ctx, time.Now().AddDate(0, 0, -3), "infra_hosts", *datadogV2.NewGetHourlyUsageOptionalParameters())

	if err != nil {
		fmt.Fprintf(os.Stderr, "Error when calling `UsageMeteringApi.GetHourlyUsage`: %v\n", err)
		fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
	}

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `UsageMeteringApi.GetHourlyUsage`:\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.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" go run "main.go"

// Get hourly usage by product family returns "OK" response
import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.UsageMeteringApi;
import com.datadog.api.client.v2.model.HourlyUsageResponse;
import java.time.OffsetDateTime;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    UsageMeteringApi apiInstance = new UsageMeteringApi(defaultClient);

    try {
      HourlyUsageResponse result =
          apiInstance.getHourlyUsage(OffsetDateTime.now().plusDays(-3), "infra_hosts");
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling UsageMeteringApi#getHourlyUsage");
      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.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" java "Example.java"

/**
 * Get hourly usage by product family returns "OK" response
 */

import { client, v2 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v2.UsageMeteringApi(configuration);

const params: v2.UsageMeteringApiGetHourlyUsageRequest = {
  filterTimestampStart: new Date(new Date().getTime() + -3 * 86400 * 1000),
  filterProductFamilies: "infra_hosts",
};

apiInstance
  .getHourlyUsage(params)
  .then((data: v2.HourlyUsageResponse) => {
    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.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

Get hourly usage attribution

v1 (latest)

GET https://api.datadoghq.eu/api/v1/usage/hourly-attributionhttps://api.ddog-gov.com/api/v1/usage/hourly-attributionhttps://api.datadoghq.com/api/v1/usage/hourly-attributionhttps://api.us3.datadoghq.com/api/v1/usage/hourly-attributionhttps://api.us5.datadoghq.com/api/v1/usage/hourly-attribution

Overview

Get hourly usage attribution.

This API endpoint is paginated. To make sure you receive all records, check if the value of next_record_id is set in the response. If it is, make another request and pass next_record_id as a parameter. Pseudo code example:

response := GetHourlyUsageAttribution(start_month)
cursor := response.metadata.pagination.next_record_id
WHILE cursor != null BEGIN
  sleep(5 seconds)  # Avoid running into rate limit
  response := GetHourlyUsageAttribution(start_month, next_record_id=cursor)
  cursor := response.metadata.pagination.next_record_id
END

This endpoint requires the usage_read authorization scope.

Arguments

Query Strings

Name

Type

Description

start_hr [required]

string

Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage beginning at this hour.

end_hr

string

Datetime in ISO-8601 format, UTC, precise to hour: [YYYY-MM-DDThh] for usage ending before this hour.

usage_type [required]

enum

Usage type to retrieve.
Allowed enum values: api_usage, apm_fargate_usage, apm_host_usage, appsec_fargate_usage, appsec_usage, browser_usage, container_excl_agent_usage, container_usage, cspm_containers_usage, cspm_hosts_usage, custom_ingested_timeseries_usage, custom_timeseries_usage, cws_containers_usage, cws_hosts_usage, dbm_hosts_usage, dbm_queries_usage, estimated_indexed_logs_usage, estimated_ingested_logs_usage, estimated_indexed_spans_usage, estimated_ingested_spans_usage, fargate_usage, functions_usage, infra_host_usage, invocations_usage, npm_host_usage, profiled_container_usage, profiled_fargate_usage, profiled_host_usage, snmp_usage, estimated_rum_sessions_usage

next_record_id

string

List following results with a next_record_id provided in the previous query.

tag_breakdown_keys

string

Comma separated list of tags used to group usage. If no value is provided the usage will not be broken down by tags.

To see which tags are available, look for the value of tag_config_source in the API response.

include_descendants

boolean

Include child org usage in the response. Defaults to true.

Response

Response containing the hourly usage attribution by tag(s).

Expand All

Field

Type

Description

metadata

object

The object containing document metadata.

usage

[object]

Get the hourly usage attribution by tag(s).

{
  "metadata": {
    "pagination": {
      "next_record_id": "string"
    }
  },
  "usage": [
    {
      "hour": "2019-09-19T10:00:00.000Z",
      "org_name": "string",
      "public_id": "string",
      "tag_config_source": "string",
      "tags": {
        "<any-key>": [
          "datadog-integrations-lab"
        ]
      },
      "total_usage_sum": "number",
      "updated_at": "string",
      "usage_type": "string"
    }
  ]
}

Forbidden - User is not authorized

Error response object.

Expand All

Field

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Too many requests

Error response object.

Expand All

Field

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Code Example

# Required query arguments
export start_hr="CHANGE_ME"
export usage_type="CHANGE_ME"
# Curl command
curl -X GET "https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v1/usage/hourly-attribution?start_hr=${start_hr}&usage_type=${usage_type}" \
-H "Accept: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}"



           

"""
Get hourly usage attribution returns "OK" response
"""

from datetime import datetime
from dateutil.relativedelta import relativedelta
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v1.api.usage_metering_api import UsageMeteringApi
from datadog_api_client.v1.model.hourly_usage_attribution_usage_type import HourlyUsageAttributionUsageType

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = UsageMeteringApi(api_client)
    response = api_instance.get_hourly_usage_attribution(
        start_hr=(datetime.now() + relativedelta(days=-3)),
        usage_type=HourlyUsageAttributionUsageType.INFRA_HOST_USAGE,
    )

    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.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python3 "example.py"

# Get hourly usage attribution returns "OK" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V1::UsageMeteringAPI.new
p api_instance.get_hourly_usage_attribution((Time.now + -3 * 86400), HourlyUsageAttributionUsageType::INFRA_HOST_USAGE)

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"

// Get hourly usage attribution returns "OK" response

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"os"
	"time"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV1"
)

func main() {
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV1.NewUsageMeteringApi(apiClient)
	resp, r, err := api.GetHourlyUsageAttribution(ctx, time.Now().AddDate(0, 0, -3), datadogV1.HOURLYUSAGEATTRIBUTIONUSAGETYPE_INFRA_HOST_USAGE, *datadogV1.NewGetHourlyUsageAttributionOptionalParameters())

	if err != nil {
		fmt.Fprintf(os.Stderr, "Error when calling `UsageMeteringApi.GetHourlyUsageAttribution`: %v\n", err)
		fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
	}

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `UsageMeteringApi.GetHourlyUsageAttribution`:\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.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" go run "main.go"

// Get hourly usage attribution returns "OK" response
import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v1.api.UsageMeteringApi;
import com.datadog.api.client.v1.model.HourlyUsageAttributionResponse;
import com.datadog.api.client.v1.model.HourlyUsageAttributionUsageType;
import java.time.OffsetDateTime;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    UsageMeteringApi apiInstance = new UsageMeteringApi(defaultClient);

    try {
      HourlyUsageAttributionResponse result =
          apiInstance.getHourlyUsageAttribution(
              OffsetDateTime.now().plusDays(-3), HourlyUsageAttributionUsageType.INFRA_HOST_USAGE);
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling UsageMeteringApi#getHourlyUsageAttribution");
      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.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" java "Example.java"

/**
 * Get hourly usage attribution returns "OK" response
 */

import { client, v1 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v1.UsageMeteringApi(configuration);

const params: v1.UsageMeteringApiGetHourlyUsageAttributionRequest = {
  startHr: new Date(new Date().getTime() + -3 * 86400 * 1000),
  usageType: "infra_host_usage",
};

apiInstance
  .getHourlyUsageAttribution(params)
  .then((data: v1.HourlyUsageAttributionResponse) => {
    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.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

Get monthly usage attribution

v1 (latest)

GET https://api.datadoghq.eu/api/v1/usage/monthly-attributionhttps://api.ddog-gov.com/api/v1/usage/monthly-attributionhttps://api.datadoghq.com/api/v1/usage/monthly-attributionhttps://api.us3.datadoghq.com/api/v1/usage/monthly-attributionhttps://api.us5.datadoghq.com/api/v1/usage/monthly-attribution

Overview

Get monthly usage attribution.

response := GetMonthlyUsageAttribution(start_month)
cursor := response.metadata.pagination.next_record_id
WHILE cursor != null BEGIN
  sleep(5 seconds)  # Avoid running into rate limit
  response := GetMonthlyUsageAttribution(start_month, next_record_id=cursor)
  cursor := response.metadata.pagination.next_record_id
END

This endpoint requires the usage_read authorization scope.

Arguments

Query Strings

Name

Type

Description

start_month [required]

string

Datetime in ISO-8601 format, UTC, precise to month: [YYYY-MM] for usage beginning in this month. Maximum of 15 months ago.

end_month

string

Datetime in ISO-8601 format, UTC, precise to month: [YYYY-MM] for usage ending this month.

fields [required]

enum

Comma-separated list of usage types to return, or * for all usage types.
Allowed enum values: api_usage, api_percentage, apm_fargate_usage, apm_fargate_percentage, appsec_fargate_usage, appsec_fargate_percentage, apm_host_usage, apm_host_percentage, appsec_usage, appsec_percentage, browser_usage, browser_percentage, container_excl_agent_usage, container_excl_agent_percentage, container_usage, container_percentage, cspm_containers_percentage, cspm_containers_usage, cspm_hosts_percentage, cspm_hosts_usage, custom_timeseries_usage, custom_timeseries_percentage, custom_ingested_timeseries_usage, custom_ingested_timeseries_percentage, cws_containers_percentage, cws_containers_usage, cws_hosts_percentage, cws_hosts_usage, dbm_hosts_percentage, dbm_hosts_usage, dbm_queries_percentage, dbm_queries_usage, estimated_indexed_logs_usage, estimated_indexed_logs_percentage, estimated_ingested_logs_usage, estimated_ingested_logs_percentage, estimated_indexed_spans_usage, estimated_indexed_spans_percentage, estimated_ingested_spans_usage, estimated_ingested_spans_percentage, fargate_usage, fargate_percentage, functions_usage, functions_percentage, infra_host_usage, infra_host_percentage, invocations_usage, invocations_percentage, npm_host_usage, npm_host_percentage, profiled_container_usage, profiled_container_percentage, profiled_fargate_usage, profiled_fargate_percentage, profiled_host_usage, profiled_host_percentage, snmp_usage, snmp_percentage, estimated_rum_sessions_usage, estimated_rum_sessions_percentage, *

sort_direction

enum

The direction to sort by: [desc, asc].
Allowed enum values: desc, asc

sort_name

enum

The field to sort by.
Allowed enum values: api_usage, api_percentage, apm_fargate_usage, apm_fargate_percentage, appsec_fargate_usage, appsec_fargate_percentage, apm_host_usage, apm_host_percentage, appsec_usage, appsec_percentage, browser_usage, browser_percentage, container_excl_agent_usage, container_excl_agent_percentage, container_usage, container_percentage, cspm_containers_percentage, cspm_containers_usage, cspm_hosts_percentage, cspm_hosts_usage, custom_timeseries_usage, custom_timeseries_percentage, custom_ingested_timeseries_usage, custom_ingested_timeseries_percentage, cws_containers_percentage, cws_containers_usage, cws_hosts_percentage, cws_hosts_usage, dbm_hosts_percentage, dbm_hosts_usage, dbm_queries_percentage, dbm_queries_usage, estimated_indexed_logs_usage, estimated_indexed_logs_percentage, estimated_ingested_logs_usage, estimated_ingested_logs_percentage, estimated_indexed_spans_usage, estimated_indexed_spans_percentage, estimated_ingested_spans_usage, estimated_ingested_spans_percentage, fargate_usage, fargate_percentage, functions_usage, functions_percentage, infra_host_usage, infra_host_percentage, invocations_usage, invocations_percentage, npm_host_usage, npm_host_percentage, profiled_container_usage, profiled_container_percentage, profiled_fargate_usage, profiled_fargate_percentage, profiled_host_usage, profiled_host_percentage, snmp_usage, snmp_percentage, estimated_rum_sessions_usage, estimated_rum_sessions_percentage, *

tag_breakdown_keys

string

Comma separated list of tag keys used to group usage. If no value is provided the usage will not be broken down by tags.

To see which tags are available, look for the value of tag_config_source in the API response.

next_record_id

string

List following results with a next_record_id provided in the previous query.

include_descendants

boolean

Include child org usage in the response. Defaults to true.

Response

Response containing the monthly Usage Summary by tag(s).

Expand All

Field

Type

Description

metadata

object

The object containing document metadata.

usage

[object]

Get usage summary by tag(s).

values

object

Fields in Usage Summary by tag(s).

{
  "metadata": {
    "aggregates": [
      {
        "agg_type": "sum",
        "field": "custom_timeseries_usage",
        "value": "number"
      }
    ],
    "pagination": {
      "next_record_id": "string"
    }
  },
  "usage": [
    {
      "month": "2019-09-19T10:00:00.000Z",
      "org_name": "string",
      "public_id": "string",
      "tag_config_source": "string",
      "tags": {
        "<any-key>": [
          "datadog-integrations-lab"
        ]
      },
      "updated_at": "2019-09-19T10:00:00.000Z",
      "values": {
        "api_percentage": "number",
        "api_usage": "number",
        "apm_fargate_percentage": "number",
        "apm_fargate_usage": "number",
        "apm_host_percentage": "number",
        "apm_host_usage": "number",
        "appsec_fargate_percentage": "number",
        "appsec_fargate_usage": "number",
        "appsec_percentage": "number",
        "appsec_usage": "number",
        "browser_percentage": "number",
        "browser_usage": "number",
        "container_excl_agent_percentage": "number",
        "container_excl_agent_usage": "number",
        "container_percentage": "number",
        "container_usage": "number",
        "cspm_containers_percentage": "number",
        "cspm_containers_usage": "number",
        "cspm_hosts_percentage": "number",
        "cspm_hosts_usage": "number",
        "custom_ingested_timeseries_percentage": "number",
        "custom_ingested_timeseries_usage": "number",
        "custom_timeseries_percentage": "number",
        "custom_timeseries_usage": "number",
        "cws_containers_percentage": "number",
        "cws_containers_usage": "number",
        "cws_hosts_percentage": "number",
        "cws_hosts_usage": "number",
        "dbm_hosts_percentage": "number",
        "dbm_hosts_usage": "number",
        "dbm_queries_percentage": "number",
        "dbm_queries_usage": "number",
        "estimated_indexed_logs_percentage": "number",
        "estimated_indexed_logs_usage": "number",
        "estimated_indexed_spans_percentage": "number",
        "estimated_indexed_spans_usage": "number",
        "estimated_ingested_logs_percentage": "number",
        "estimated_ingested_logs_usage": "number",
        "estimated_ingested_spans_percentage": "number",
        "estimated_ingested_spans_usage": "number",
        "estimated_rum_sessions_percentage": "number",
        "estimated_rum_sessions_usage": "number",
        "fargate_percentage": "number",
        "fargate_usage": "number",
        "functions_percentage": "number",
        "functions_usage": "number",
        "infra_host_percentage": "number",
        "infra_host_usage": "number",
        "invocations_percentage": "number",
        "invocations_usage": "number",
        "npm_host_percentage": "number",
        "npm_host_usage": "number",
        "profiled_container_percentage": "number",
        "profiled_container_usage": "number",
        "profiled_fargate_percentage": "number",
        "profiled_fargate_usage": "number",
        "profiled_host_percentage": "number",
        "profiled_host_usage": "number",
        "snmp_percentage": "number",
        "snmp_usage": "number"
      }
    }
  ]
}

Forbidden - User is not authorized

Error response object.

Expand All

Field

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Too many requests

Error response object.

Expand All

Field

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Code Example

# Required query arguments
export start_month="CHANGE_ME"
export fields="CHANGE_ME"
# Curl command
curl -X GET "https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v1/usage/monthly-attribution?start_month=${start_month}&fields=${fields}" \
-H "Accept: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}"



           

"""
Get monthly usage attribution returns "OK" response
"""

from datetime import datetime
from dateutil.relativedelta import relativedelta
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v1.api.usage_metering_api import UsageMeteringApi
from datadog_api_client.v1.model.monthly_usage_attribution_supported_metrics import (
    MonthlyUsageAttributionSupportedMetrics,
)

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = UsageMeteringApi(api_client)
    response = api_instance.get_monthly_usage_attribution(
        start_month=(datetime.now() + relativedelta(days=-3)),
        fields=MonthlyUsageAttributionSupportedMetrics.INFRA_HOST_USAGE,
    )

    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.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python3 "example.py"

# Get monthly usage attribution returns "OK" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V1::UsageMeteringAPI.new
p api_instance.get_monthly_usage_attribution((Time.now + -3 * 86400), MonthlyUsageAttributionSupportedMetrics::INFRA_HOST_USAGE)

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"

// Get monthly usage attribution returns "OK" response

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"os"
	"time"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV1"
)

func main() {
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV1.NewUsageMeteringApi(apiClient)
	resp, r, err := api.GetMonthlyUsageAttribution(ctx, time.Now().AddDate(0, 0, -3), datadogV1.MONTHLYUSAGEATTRIBUTIONSUPPORTEDMETRICS_INFRA_HOST_USAGE, *datadogV1.NewGetMonthlyUsageAttributionOptionalParameters())

	if err != nil {
		fmt.Fprintf(os.Stderr, "Error when calling `UsageMeteringApi.GetMonthlyUsageAttribution`: %v\n", err)
		fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
	}

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `UsageMeteringApi.GetMonthlyUsageAttribution`:\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.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" go run "main.go"

// Get monthly usage attribution returns "OK" response
import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v1.api.UsageMeteringApi;
import com.datadog.api.client.v1.model.MonthlyUsageAttributionResponse;
import com.datadog.api.client.v1.model.MonthlyUsageAttributionSupportedMetrics;
import java.time.OffsetDateTime;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    UsageMeteringApi apiInstance = new UsageMeteringApi(defaultClient);

    try {
      MonthlyUsageAttributionResponse result =
          apiInstance.getMonthlyUsageAttribution(
              OffsetDateTime.now().plusDays(-3),
              MonthlyUsageAttributionSupportedMetrics.INFRA_HOST_USAGE);
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling UsageMeteringApi#getMonthlyUsageAttribution");
      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.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" java "Example.java"

/**
 * Get monthly usage attribution returns "OK" response
 */

import { client, v1 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v1.UsageMeteringApi(configuration);

const params: v1.UsageMeteringApiGetMonthlyUsageAttributionRequest = {
  startMonth: new Date(new Date().getTime() + -3 * 86400 * 1000),
  fields: "infra_host_usage",
};

apiInstance
  .getMonthlyUsageAttribution(params)
  .then((data: v1.MonthlyUsageAttributionResponse) => {
    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.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

Get billable usage across your account

v1 (latest)

GET https://api.datadoghq.eu/api/v1/usage/billable-summaryhttps://api.ddog-gov.com/api/v1/usage/billable-summaryhttps://api.datadoghq.com/api/v1/usage/billable-summaryhttps://api.us3.datadoghq.com/api/v1/usage/billable-summaryhttps://api.us5.datadoghq.com/api/v1/usage/billable-summary

Overview

Get billable usage across your account. This endpoint requires the usage_read authorization scope.

Arguments

Query Strings

Name

Type

Description

month

string

Datetime in ISO-8601 format, UTC, precise to month: [YYYY-MM] for usage starting this month.

Response

Response with monthly summary of data billed by Datadog.

Expand All

Field

Type

Description

usage

[object]

An array of objects regarding usage of billable summary.

usage

object

Response with aggregated usage types.

{
  "usage": [
    {
      "billing_plan": "string",
      "end_date": "2019-09-19T10:00:00.000Z",
      "num_orgs": "integer",
      "org_name": "string",
      "public_id": "string",
      "ratio_in_month": "number",
      "region": "string",
      "start_date": "2019-09-19T10:00:00.000Z",
      "usage": {
        "apm_fargate_average": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "apm_fargate_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "apm_host_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "apm_host_top99p": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "apm_profiler_host_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "apm_profiler_host_top99p": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "apm_trace_search_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "application_security_fargate_average": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "application_security_host_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "application_security_host_top99p": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "ci_pipeline_indexed_spans_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "ci_pipeline_maximum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "ci_pipeline_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "ci_test_indexed_spans_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "ci_testing_maximum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "ci_testing_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "cloud_cost_management_average": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "cloud_cost_management_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "cspm_container_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "cspm_host_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "cspm_host_top99p": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "custom_event_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "cws_container_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "cws_host_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "cws_host_top99p": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "dbm_host_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "dbm_host_top99p": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "dbm_normalized_queries_average": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "dbm_normalized_queries_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "fargate_container_apm_and_profiler_average": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "fargate_container_apm_and_profiler_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "fargate_container_average": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "fargate_container_profiler_average": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "fargate_container_profiler_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "fargate_container_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "incident_management_maximum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "incident_management_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "infra_and_apm_host_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "infra_and_apm_host_top99p": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "infra_container_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "infra_host_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "infra_host_top99p": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "ingested_spans_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "ingested_timeseries_average": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "ingested_timeseries_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "iot_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "iot_top99p": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "lambda_function_average": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "lambda_function_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "logs_forwarding_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "logs_indexed_15day_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "logs_indexed_180day_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "logs_indexed_30day_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "logs_indexed_360day_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "logs_indexed_3day_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "logs_indexed_45day_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "logs_indexed_60day_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "logs_indexed_7day_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "logs_indexed_90day_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "logs_indexed_custom_retention_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "logs_indexed_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "logs_ingested_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "network_device_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "network_device_top99p": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "npm_flow_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "npm_host_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "npm_host_top99p": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "observability_pipeline_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "online_archive_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "prof_container_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "prof_host_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "prof_host_top99p": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "rum_lite_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "rum_replay_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "rum_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "rum_units_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "sensitive_data_scanner_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "serverless_apm_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "serverless_infra_average": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "serverless_infra_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "serverless_invocation_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "siem_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "standard_timeseries_average": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "synthetics_api_tests_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "synthetics_app_testing_maximum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "synthetics_browser_checks_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "timeseries_average": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        },
        "timeseries_sum": {
          "account_billable_usage": "integer",
          "elapsed_usage_hours": "integer",
          "first_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "last_billable_usage_hour": "2019-09-19T10:00:00.000Z",
          "org_billable_usage": "integer",
          "percentage_in_account": "number",
          "usage_unit": "string"
        }
      }
    }
  ]
}

Bad Request

Error response object.

Expand All

Field

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Forbidden - User is not authorized

Error response object.

Expand All

Field

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Too many requests

Error response object.

Expand All

Field

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Code Example

# Curl command
curl -X GET "https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v1/usage/billable-summary" \
-H "Accept: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}"

"""
Get billable usage across your account returns "OK" response
"""

from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v1.api.usage_metering_api import UsageMeteringApi

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = UsageMeteringApi(api_client)
    response = api_instance.get_usage_billable_summary()

    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.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python3 "example.py"

# Get billable usage across your account returns "OK" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V1::UsageMeteringAPI.new
p api_instance.get_usage_billable_summary()

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"

// Get billable usage across your account 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/datadogV1"
)

func main() {
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV1.NewUsageMeteringApi(apiClient)
	resp, r, err := api.GetUsageBillableSummary(ctx, *datadogV1.NewGetUsageBillableSummaryOptionalParameters())

	if err != nil {
		fmt.Fprintf(os.Stderr, "Error when calling `UsageMeteringApi.GetUsageBillableSummary`: %v\n", err)
		fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
	}

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `UsageMeteringApi.GetUsageBillableSummary`:\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.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" go run "main.go"

// Get billable usage across your account returns "OK" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v1.api.UsageMeteringApi;
import com.datadog.api.client.v1.model.UsageBillableSummaryResponse;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    UsageMeteringApi apiInstance = new UsageMeteringApi(defaultClient);

    try {
      UsageBillableSummaryResponse result = apiInstance.getUsageBillableSummary();
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling UsageMeteringApi#getUsageBillableSummary");
      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.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" java "Example.java"

/**
 * Get billable usage across your account returns "OK" response
 */

import { client, v1 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v1.UsageMeteringApi(configuration);

apiInstance
  .getUsageBillableSummary()
  .then((data: v1.UsageBillableSummaryResponse) => {
    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.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

Get historical cost across your account

v2 (latest)

GET https://api.datadoghq.eu/api/v2/usage/historical_costhttps://api.ddog-gov.com/api/v2/usage/historical_costhttps://api.datadoghq.com/api/v2/usage/historical_costhttps://api.us3.datadoghq.com/api/v2/usage/historical_costhttps://api.us5.datadoghq.com/api/v2/usage/historical_cost

Overview

Get historical cost across multi-org and single root-org accounts. Cost data for a given month becomes available no later than the 16th of the following month. This endpoint requires the usage_read authorization scope.

Arguments

Query Strings

Name

Type

Description

view

string

String to specify whether cost is broken down at a parent-org level or at the sub-org level. Available views are summary and sub-org. Defaults to summary.

start_month [required]

string

Datetime in ISO-8601 format, UTC, precise to month: [YYYY-MM] for cost beginning this month.

end_month

string

Datetime in ISO-8601 format, UTC, precise to month: [YYYY-MM] for cost ending this month.

Response

Chargeback Summary response.

Expand All

Field

Type

Description

data

[object]

Response containing Chargeback Summary.

{
  "data": [
    {
      "attributes": {
        "charges": [
          {
            "charge_type": "on_demand",
            "cost": "number",
            "product_name": "infra_host"
          }
        ],
        "date": "2019-09-19T10:00:00.000Z",
        "org_name": "string",
        "public_id": "string",
        "region": "string",
        "total_cost": "number"
      },
      "id": "string",
      "type": "cost_by_org"
    }
  ]
}

Bad Request

API error response.

Expand All

Field

Type

Description

errors [required]

[string]

A list of errors.

{
  "errors": [
    "Bad Request"
  ]
}

Forbidden - User is not authorized

API error response.

Expand All

Field

Type

Description

errors [required]

[string]

A list of errors.

{
  "errors": [
    "Bad Request"
  ]
}

Too many requests

API error response.

Expand All

Field

Type

Description

errors [required]

[string]

A list of errors.

{
  "errors": [
    "Bad Request"
  ]
}

Code Example

# Required query arguments
export start_month="CHANGE_ME"
# Curl command
curl -X GET "https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v2/usage/historical_cost?start_month=${start_month}" \
-H "Accept: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}"



           

"""
Get historical cost across your account returns "OK" response
"""

from datetime import datetime
from dateutil.relativedelta import relativedelta
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.usage_metering_api import UsageMeteringApi

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = UsageMeteringApi(api_client)
    response = api_instance.get_historical_cost_by_org(
        view="sub-org",
        start_month=(datetime.now() + relativedelta(months=-2)),
    )

    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.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python3 "example.py"

# Get historical cost across your account returns "OK" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V2::UsageMeteringAPI.new
opts = {
  view: "sub-org",
}
p api_instance.get_historical_cost_by_org((Time.now + -2 * 86400 * 30), opts)

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"

// Get historical cost across your account returns "OK" response

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"os"
	"time"

	"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())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV2.NewUsageMeteringApi(apiClient)
	resp, r, err := api.GetHistoricalCostByOrg(ctx, time.Now().AddDate(0, -2, 0), *datadogV2.NewGetHistoricalCostByOrgOptionalParameters().WithView("sub-org"))

	if err != nil {
		fmt.Fprintf(os.Stderr, "Error when calling `UsageMeteringApi.GetHistoricalCostByOrg`: %v\n", err)
		fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
	}

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `UsageMeteringApi.GetHistoricalCostByOrg`:\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.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" go run "main.go"

// Get historical cost across your account returns "OK" response
import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.UsageMeteringApi;
import com.datadog.api.client.v2.api.UsageMeteringApi.GetHistoricalCostByOrgOptionalParameters;
import com.datadog.api.client.v2.model.CostByOrgResponse;
import java.time.OffsetDateTime;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    UsageMeteringApi apiInstance = new UsageMeteringApi(defaultClient);

    try {
      CostByOrgResponse result =
          apiInstance.getHistoricalCostByOrg(
              OffsetDateTime.now().plusMonths(-2),
              new GetHistoricalCostByOrgOptionalParameters().view("sub-org"));
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling UsageMeteringApi#getHistoricalCostByOrg");
      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.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" java "Example.java"

/**
 * Get historical cost across your account returns "OK" response
 */

import { client, v2 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v2.UsageMeteringApi(configuration);

const params: v2.UsageMeteringApiGetHistoricalCostByOrgRequest = {
  view: "sub-org",
  startMonth: new Date(new Date().getTime() + -2 * 86400 * 30 * 1000),
};

apiInstance
  .getHistoricalCostByOrg(params)
  .then((data: v2.CostByOrgResponse) => {
    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.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

Get estimated cost across your account

v2 (latest)

GET https://api.datadoghq.eu/api/v2/usage/estimated_costhttps://api.ddog-gov.com/api/v2/usage/estimated_costhttps://api.datadoghq.com/api/v2/usage/estimated_costhttps://api.us3.datadoghq.com/api/v2/usage/estimated_costhttps://api.us5.datadoghq.com/api/v2/usage/estimated_cost

Overview

Get estimated cost across multi-org and single root-org accounts. Estimated cost data is only available for the current month and previous month and is delayed by up to 72 hours from when it was incurred. To access historical costs prior to this, use the /historical_cost endpoint. This endpoint requires the usage_read authorization scope.

Arguments

Query Strings

Name

Type

Description

view

string

String to specify whether cost is broken down at a parent-org level or at the sub-org level. Available views are summary and sub-org. Defaults to summary.

start_month

string

Datetime in ISO-8601 format, UTC, precise to month: [YYYY-MM] for cost beginning this month. Either start_month or start_date should be specified, but not both. (start_month cannot go beyond two months in the past)

end_month

string

Datetime in ISO-8601 format, UTC, precise to month: [YYYY-MM] for cost ending this month.

start_date

string

Datetime in ISO-8601 format, UTC, precise to day: [YYYY-MM-DD] for cost beginning this day. Either start_month or start_date should be specified, but not both. (start_date cannot go beyond two months in the past)

end_date

string

Datetime in ISO-8601 format, UTC, precise to day: [YYYY-MM-DD] for cost ending this day.

Response

Chargeback Summary response.

Expand All

Field

Type

Description

data

[object]

Response containing Chargeback Summary.

{
  "data": [
    {
      "attributes": {
        "charges": [
          {
            "charge_type": "on_demand",
            "cost": "number",
            "product_name": "infra_host"
          }
        ],
        "date": "2019-09-19T10:00:00.000Z",
        "org_name": "string",
        "public_id": "string",
        "region": "string",
        "total_cost": "number"
      },
      "id": "string",
      "type": "cost_by_org"
    }
  ]
}

Bad Request

API error response.

Expand All

Field

Type

Description

errors [required]

[string]

A list of errors.

{
  "errors": [
    "Bad Request"
  ]
}

Forbidden - User is not authorized

API error response.

Expand All

Field

Type

Description

errors [required]

[string]

A list of errors.

{
  "errors": [
    "Bad Request"
  ]
}

Too many requests

API error response.

Expand All

Field

Type

Description

errors [required]

[string]

A list of errors.

{
  "errors": [
    "Bad Request"
  ]
}

Code Example

# Curl command
curl -X GET "https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v2/usage/estimated_cost" \
-H "Accept: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}"

"""
Get estimated cost across your account returns "OK" response
"""

from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.usage_metering_api import UsageMeteringApi

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = UsageMeteringApi(api_client)
    response = api_instance.get_estimated_cost_by_org()

    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.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python3 "example.py"

# Get estimated cost across your account returns "OK" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V2::UsageMeteringAPI.new
p api_instance.get_estimated_cost_by_org()

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"

// Get estimated cost across your account 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())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV2.NewUsageMeteringApi(apiClient)
	resp, r, err := api.GetEstimatedCostByOrg(ctx, *datadogV2.NewGetEstimatedCostByOrgOptionalParameters())

	if err != nil {
		fmt.Fprintf(os.Stderr, "Error when calling `UsageMeteringApi.GetEstimatedCostByOrg`: %v\n", err)
		fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
	}

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `UsageMeteringApi.GetEstimatedCostByOrg`:\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.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" go run "main.go"

// Get estimated cost across your account returns "OK" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.UsageMeteringApi;
import com.datadog.api.client.v2.model.CostByOrgResponse;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    UsageMeteringApi apiInstance = new UsageMeteringApi(defaultClient);

    try {
      CostByOrgResponse result = apiInstance.getEstimatedCostByOrg();
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling UsageMeteringApi#getEstimatedCostByOrg");
      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.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" java "Example.java"

/**
 * Get estimated cost across your account returns "OK" response
 */

import { client, v2 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v2.UsageMeteringApi(configuration);

apiInstance
  .getEstimatedCostByOrg()
  .then((data: v2.CostByOrgResponse) => {
    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.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

Get all custom metrics by hourly average

v1 (latest)

GET https://api.datadoghq.eu/api/v1/usage/top_avg_metricshttps://api.ddog-gov.com/api/v1/usage/top_avg_metricshttps://api.datadoghq.com/api/v1/usage/top_avg_metricshttps://api.us3.datadoghq.com/api/v1/usage/top_avg_metricshttps://api.us5.datadoghq.com/api/v1/usage/top_avg_metrics

Overview

Get all custom metrics by hourly average. Use the month parameter to get a month-to-date data resolution or use the day parameter to get a daily resolution. One of the two is required, and only one of the two is allowed. This endpoint requires the usage_read authorization scope.

Arguments

Query Strings

Name

Type

Description

month

string

Datetime in ISO-8601 format, UTC, precise to month: [YYYY-MM] for usage beginning at this hour. (Either month or day should be specified, but not both)

day

string

Datetime in ISO-8601 format, UTC, precise to day: [YYYY-MM-DD] for usage beginning at this hour. (Either month or day should be specified, but not both)

names

array

Comma-separated list of metric names.

limit

integer

Maximum number of results to return (between 1 and 5000) - defaults to 500 results if limit not specified.

next_record_id

string

List following results with a next_record_id provided in the previous query.

Response

Response containing the number of hourly recorded custom metrics for a given organization.

Expand All

Field

Type

Description

metadata

object

The object containing document metadata.

usage

[object]

Number of hourly recorded custom metrics for a given organization.

{
  "metadata": {
    "day": "2019-09-19T10:00:00.000Z",
    "month": "2019-09-19T10:00:00.000Z",
    "pagination": {
      "limit": "integer",
      "next_record_id": "string",
      "total_number_of_records": "integer"
    }
  },
  "usage": [
    {
      "avg_metric_hour": "integer",
      "max_metric_hour": "integer",
      "metric_category": "string",
      "metric_name": "string"
    }
  ]
}

Bad Request

Error response object.

Expand All

Field

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Forbidden - User is not authorized

Error response object.

Expand All

Field

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Too many requests

Error response object.

Expand All

Field

Type

Description

errors [required]

[string]

Array of errors returned by the API.

{
  "errors": [
    "Bad Request"
  ]
}

Code Example

# Curl command
curl -X GET "https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v1/usage/top_avg_metrics" \
-H "Accept: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}"

"""
Get all custom metrics by hourly average returns "OK" response
"""

from datetime import datetime
from dateutil.relativedelta import relativedelta
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v1.api.usage_metering_api import UsageMeteringApi

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = UsageMeteringApi(api_client)
    response = api_instance.get_usage_top_avg_metrics(
        day=(datetime.now() + relativedelta(days=-3)),
    )

    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.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python3 "example.py"

# Get all custom metrics by hourly average returns "OK" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V1::UsageMeteringAPI.new
opts = {
  day: (Time.now + -3 * 86400),
}
p api_instance.get_usage_top_avg_metrics(opts)

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"

// Get all custom metrics by hourly average returns "OK" response

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"os"
	"time"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV1"
)

func main() {
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV1.NewUsageMeteringApi(apiClient)
	resp, r, err := api.GetUsageTopAvgMetrics(ctx, *datadogV1.NewGetUsageTopAvgMetricsOptionalParameters().WithDay(time.Now().AddDate(0, 0, -3)))

	if err != nil {
		fmt.Fprintf(os.Stderr, "Error when calling `UsageMeteringApi.GetUsageTopAvgMetrics`: %v\n", err)
		fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
	}

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `UsageMeteringApi.GetUsageTopAvgMetrics`:\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.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" go run "main.go"

// Get all custom metrics by hourly average returns "OK" response
import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v1.api.UsageMeteringApi;
import com.datadog.api.client.v1.api.UsageMeteringApi.GetUsageTopAvgMetricsOptionalParameters;
import com.datadog.api.client.v1.model.UsageTopAvgMetricsResponse;
import java.time.OffsetDateTime;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    UsageMeteringApi apiInstance = new UsageMeteringApi(defaultClient);

    try {
      UsageTopAvgMetricsResponse result =
          apiInstance.getUsageTopAvgMetrics(
              new GetUsageTopAvgMetricsOptionalParameters().day(OffsetDateTime.now().plusDays(-3)));
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling UsageMeteringApi#getUsageTopAvgMetrics");
      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.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" java "Example.java"

/**
 * Get all custom metrics by hourly average returns "OK" response
 */

import { client, v1 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v1.UsageMeteringApi(configuration);

const params: v1.UsageMeteringApiGetUsageTopAvgMetricsRequest = {
  day: new Date(new Date().getTime() + -3 * 86400 * 1000),
};

apiInstance
  .getUsageTopAvgMetrics(params)
  .then((data: v1.UsageTopAvgMetricsResponse) => {
    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.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

Get usage across your account

v1 (latest)

GET https://api.datadoghq.eu/api/v1/usage/summaryhttps://api.ddog-gov.com/api/v1/usage/summaryhttps://api.datadoghq.com/api/v1/usage/summaryhttps://api.us3.datadoghq.com/api/v1/usage/summaryhttps://api.us5.datadoghq.com/api/v1/usage/summary

Overview

Get all usage across your account. This endpoint requires the usage_read authorization scope.

Arguments

Query Strings

Name

Type

Description

start_month [required]

string

Datetime in ISO-8601 format, UTC, precise to month: [YYYY-MM] for usage beginning in this month. Maximum of 15 months ago.

end_month

string

Datetime in ISO-8601 format, UTC, precise to month: [YYYY-MM] for usage ending this month.

include_org_details

boolean

Include usage summaries for each sub-org.

Response

Response summarizing all usage aggregated across the months in the request for all organizations, and broken down by month and by organization.

Expand All

Field

Type

Description

agent_host_top99p_sum

int64

Shows the 99th percentile of all agent hosts over all hours in the current months for all organizations.

apm_azure_app_service_host_top99p_sum

int64

Shows the 99th percentile of all Azure app services using APM over all hours in the current months all organizations.

apm_fargate_count_avg_sum

int64

Shows the average of all APM ECS Fargate tasks over all hours in the current months for all organizations.

apm_host_top99p_sum

int64

Shows the 99th percentile of all distinct APM hosts over all hours in the current months for all organizations.

appsec_fargate_count_avg_sum

int64

Shows the average of all Application Security Monitoring ECS Fargate tasks over all hours in the current months for all organizations.

audit_logs_lines_indexed_agg_sum

int64

Shows the sum of all audit logs lines indexed over all hours in the current months for all organizations.

audit_trail_enabled_hwm_sum

int64

Shows the total number of organizations that had Audit Trail enabled over a specific number of months.

avg_profiled_fargate_tasks_sum

int64

Shows the average of all profiled Fargate tasks over all hours in the current months for all organizations.

aws_host_top99p_sum

int64

Shows the 99th percentile of all AWS hosts over all hours in the current months for all organizations.

aws_lambda_func_count

int64

Shows the average of the number of functions that executed 1 or more times each hour in the current months for all organizations.

aws_lambda_invocations_sum

int64

Shows the sum of all AWS Lambda invocations over all hours in the current months for all organizations.

azure_app_service_top99p_sum

int64

Shows the 99th percentile of all Azure app services over all hours in the current months for all organizations.

azure_host_top99p_sum

int64

Shows the 99th percentile of all Azure hosts over all hours in the current months for all organizations.

billable_ingested_bytes_agg_sum

int64

Shows the sum of all log bytes ingested over all hours in the current months for all organizations.

browser_rum_lite_session_count_agg_sum

int64

Shows the sum of all browser lite sessions over all hours in the current months for all organizations.

browser_rum_replay_session_count_agg_sum

int64

Shows the sum of all browser replay sessions over all hours in the current months for all organizations.

browser_rum_units_agg_sum

int64

Shows the sum of all browser RUM units over all hours in the current months for all organizations.

ci_pipeline_indexed_spans_agg_sum

int64

Shows the sum of all CI pipeline indexed spans over all hours in the current months for all organizations.

ci_test_indexed_spans_agg_sum

int64

Shows the sum of all CI test indexed spans over all hours in the current months for all organizations.

ci_visibility_pipeline_committers_hwm_sum

int64

Shows the high-water mark of all CI visibility pipeline committers over all hours in the current months for all organizations.

ci_visibility_test_committers_hwm_sum

int64

Shows the high-water mark of all CI visibility test committers over all hours in the current months for all organizations.

cloud_cost_management_host_count_avg_sum

int64

Sum of the host count average for Cloud Cost Management.

container_avg_sum

int64

Shows the average of all distinct containers over all hours in the current months for all organizations.

container_excl_agent_avg_sum

int64

Shows the average of the containers without the Datadog Agent over all hours in the current month for all organizations.

container_hwm_sum

int64

Shows the sum of the high-water marks of all distinct containers over all hours in the current months for all organizations.

cspm_aas_host_top99p_sum

int64

Shows the 99th percentile of all Cloud Security Posture Management Azure app services hosts over all hours in the current months for all organizations.

cspm_aws_host_top99p_sum

int64

Shows the 99th percentile of all Cloud Security Posture Management AWS hosts over all hours in the current months for all organizations.

cspm_azure_host_top99p_sum

int64

Shows the 99th percentile of all Cloud Security Posture Management Azure hosts over all hours in the current months for all organizations.

cspm_container_avg_sum

int64

Shows the average number of Cloud Security Posture Management containers over all hours in the current months for all organizations.

cspm_container_hwm_sum

int64

Shows the sum of the the high-water marks of Cloud Security Posture Management containers over all hours in the current months for all organizations.

cspm_gcp_host_top99p_sum

int64

Shows the 99th percentile of all Cloud Security Posture Management GCP hosts over all hours in the current months for all organizations.

cspm_host_top99p_sum

int64

Shows the 99th percentile of all Cloud Security Posture Management hosts over all hours in the current months for all organizations.

custom_ts_sum

int64

Shows the average number of distinct custom metrics over all hours in the current months for all organizations.

cws_containers_avg_sum

int64

Shows the average of all distinct Cloud Workload Security containers over all hours in the current months for all organizations.

cws_host_top99p_sum

int64

Shows the 99th percentile of all Cloud Workload Security hosts over all hours in the current months for all organizations.

dbm_host_top99p_sum

int64

Shows the 99th percentile of all Database Monitoring hosts over all hours in the current month for all organizations.

dbm_queries_avg_sum

int64

Shows the average of all distinct Database Monitoring Normalized Queries over all hours in the current month for all organizations.

end_date

date-time

Shows the last date of usage in the current months for all organizations.

fargate_tasks_count_avg_sum

int64

Shows the average of all Fargate tasks over all hours in the current months for all organizations.

fargate_tasks_count_hwm_sum

int64

Shows the sum of the high-water marks of all Fargate tasks over all hours in the current months for all organizations.

gcp_host_top99p_sum

int64

Shows the 99th percentile of all GCP hosts over all hours in the current months for all organizations.

heroku_host_top99p_sum

int64

Shows the 99th percentile of all Heroku dynos over all hours in the current months for all organizations.

incident_management_monthly_active_users_hwm_sum

int64

Shows sum of the the high-water marks of incident management monthly active users in the current months for all organizations.

indexed_events_count_agg_sum

int64

Shows the sum of all log events indexed over all hours in the current months for all organizations.

infra_host_top99p_sum

int64

Shows the 99th percentile of all distinct infrastructure hosts over all hours in the current months for all organizations.

ingested_events_bytes_agg_sum

int64

Shows the sum of all log bytes ingested over all hours in the current months for all organizations.

iot_device_agg_sum

int64

Shows the sum of all IoT devices over all hours in the current months for all organizations.

iot_device_top99p_sum

int64

Shows the 99th percentile of all IoT devices over all hours in the current months of all organizations.

last_updated

date-time

Shows the the most recent hour in the current months for all organizations for which all usages were calculated.

live_indexed_events_agg_sum

int64

Shows the sum of all live logs indexed over all hours in the current months for all organizations (data available as of December 1, 2020).

live_ingested_bytes_agg_sum

int64

Shows the sum of all live logs bytes ingested over all hours in the current months for all organizations (data available as of December 1, 2020).

logs_by_retention

object

Object containing logs usage data broken down by retention period.

mobile_rum_lite_session_count_agg_sum

int64

Shows the sum of all mobile lite sessions over all hours in the current months for all organizations.

mobile_rum_session_count_agg_sum

int64

Shows the sum of all mobile RUM Sessions over all hours in the current months for all organizations.

mobile_rum_session_count_android_agg_sum

int64

Shows the sum of all mobile RUM Sessions on Android over all hours in the current months for all organizations.

mobile_rum_session_count_flutter_agg_sum

int64

Shows the sum of all mobile RUM Sessions on Flutter over all hours in the current months for all organizations.

mobile_rum_session_count_ios_agg_sum

int64

Shows the sum of all mobile RUM Sessions on iOS over all hours in the current months for all organizations.

mobile_rum_session_count_reactnative_agg_sum

int64

Shows the sum of all mobile RUM Sessions on React Native over all hours in the current months for all organizations.

mobile_rum_units_agg_sum

int64

Shows the sum of all mobile RUM units over all hours in the current months for all organizations.

netflow_indexed_events_count_agg_sum

int64

Shows the sum of all Network flows indexed over all hours in the current months for all organizations.

npm_host_top99p_sum

int64

Shows the 99th percentile of all distinct Networks hosts over all hours in the current months for all organizations.

observability_pipelines_bytes_processed_agg_sum

int64

Sum of all observability pipelines bytes processed over all hours in the current months for all organizations.

online_archive_events_count_agg_sum

int64

Sum of all online archived events over all hours in the current months for all organizations.

opentelemetry_apm_host_top99p_sum

int64

Shows the 99th percentile of APM hosts reported by the Datadog exporter for the OpenTelemetry Collector over all hours in the current months for all organizations.

opentelemetry_host_top99p_sum

int64

Shows the 99th percentile of all hosts reported by the Datadog exporter for the OpenTelemetry Collector over all hours in the current months for all organizations.

profiling_container_agent_count_avg

int64

Shows the average number of profiled containers over all hours in the current months for all organizations.

profiling_host_count_top99p_sum

int64

Shows the 99th percentile of all profiled hosts over all hours in the current months for all organizations.

rehydrated_indexed_events_agg_sum

int64

Shows the sum of all rehydrated logs indexed over all hours in the current months for all organizations (data available as of December 1, 2020).

rehydrated_ingested_bytes_agg_sum

int64

Shows the sum of all rehydrated logs bytes ingested over all hours in the current months for all organizations (data available as of December 1, 2020).

rum_browser_and_mobile_session_count

int64

Shows the sum of all mobile sessions and all browser lite and legacy sessions over all hours in the current month for all organizations.

rum_session_count_agg_sum

int64

Shows the sum of all browser RUM Lite Sessions over all hours in the current months for all organizations.

rum_total_session_count_agg_sum

int64

Shows the sum of RUM Sessions (browser and mobile) over all hours in the current months for all organizations.

rum_units_agg_sum

int64

Shows the sum of all browser and mobile RUM units over all hours in the current months for all organizations.

sds_apm_scanned_bytes_sum

int64

Sum of all APM bytes scanned with sensitive data scanner in the current months for all organizations.

sds_events_scanned_bytes_sum

int64

Sum of all event stream events bytes scanned with sensitive data scanner in the current months for all organizations.

sds_logs_scanned_bytes_sum

int64

Shows the sum of all bytes scanned of logs usage by the Sensitive Data Scanner over all hours in the current month for all organizations.

sds_rum_scanned_bytes_sum

int64

Sum of all RUM bytes scanned with sensitive data scanner in the current months for all organizations.

sds_total_scanned_bytes_sum

int64

Shows the sum of all bytes scanned across all usage types by the Sensitive Data Scanner over all hours in the current month for all organizations.

start_date

date-time

Shows the first date of usage in the current months for all organizations.

synthetics_browser_check_calls_count_agg_sum

int64

Shows the sum of all Synthetic browser tests over all hours in the current months for all organizations.

synthetics_check_calls_count_agg_sum

int64

Shows the sum of all Synthetic API tests over all hours in the current months for all organizations.

synthetics_parallel_testing_max_slots_hwm_sum

int64

Shows the sum of the high-water marks of used synthetics parallel testing slots over all hours in the current month for all organizations.

trace_search_indexed_events_count_agg_sum