Get metric - Experiments

GEThttps://api.datadoghq.com/api/v2/experiments/metrics/{metric_id}https://api.us3.datadoghq.com/api/v2/experiments/metrics/{metric_id}https://api.us5.datadoghq.com/api/v2/experiments/metrics/{metric_id}https://api.datadoghq.eu/api/v2/experiments/metrics/{metric_id}https://api.ap1.datadoghq.com/api/v2/experiments/metrics/{metric_id}https://api.ap2.datadoghq.com/api/v2/experiments/metrics/{metric_id}https://api.uk1.datadoghq.com/api/v2/experiments/metrics/{metric_id}https://api.ddog-gov.com/api/v2/experiments/metrics/{metric_id}https://api.us2.ddog-gov.com/api/v2/experiments/metrics/{metric_id}

Présentation

Get a metric. Returns a single experiment metric by its ID for the organization.

This endpoint requires the product_analytics_metrics_read permission.

OAuth apps require the product_analytics_metrics_read authorization scope to access this endpoint.

Arguments

Paramètres du chemin

Name

Type

Description

metric_id [required]

string

The UUID of the metric.

Chaînes de requête

Name

Type

Description

include

array

Optional fields to include. Repeat this parameter to request several fields. counts adds experiment_count: how many experiments currently reference this metric.

Réponse

Response containing the metric.

Champ

Type

Description

data [required]

object

JSON:API resource containing the metric identity and fields.

attributes

object

Details of the metric.

certified_at

date-time

Time when this resource was certified.

created_at

date-time

Time when this resource was created.

data_source_type

enum

Source of the data used to calculate the metric.

Allowed enum values: DATADOG, DATADOG_REFERENCE_TABLE, CUSTOMER_WAREHOUSE, IMPORTED, UNKNOWN

denominator_aggregation

object

Source measure and aggregation settings for a metric value.

aging_threshold_days

int64

Stored aging threshold in days. The subject aging filter uses the aggregation window end and unit.

datadog_metric_measure

object

Datadog source and query that supply values for the metric.

enable_aging_subject_filter

boolean

Whether to exclude subjects whose observation time is shorter than the aggregation window.

operation

string

Aggregation applied to the selected measure.

pipeline_column_suffix

string

Suffix used to identify this value in pipeline output columns.

property_filters

[array]

Filters applied to the metric aggregation.

threshold_aggregation_type

string

Aggregation used to evaluate the threshold.

threshold_breach_value

double

Value used to determine whether the threshold is breached.

threshold_comparison_operator

string

Comparison applied between the aggregated value and the threshold.

threshold_timeframe_dimension

string

Time unit used for the threshold evaluation window.

threshold_timeframe_value

double

Size of the threshold evaluation window.

timeframe_end_value

double

End of the aggregation window in the specified time unit.

timeframe_start_value

double

Start of the aggregation window in the specified time unit.

timeframe_unit

string

Time unit used for the aggregation window.

warehouse_metric_measure

object

Warehouse measure that supplies values for the metric.

winsor_lower_fixed_value

double

Fixed lower bound used to cap metric values.

winsor_lower_percentile

double

Percentile used to determine the lower bound for capped metric values.

winsor_upper_fixed_value

double

Fixed upper bound used to cap metric values.

winsor_upper_percentile

double

Percentile used to determine the upper bound for capped metric values.

winsorization_strategy

string

Method used to cap extreme metric values.

description

string

Text that explains the metric.

desired_change

enum

Direction of metric change considered desirable.

Allowed enum values: METRIC_INCREASES, METRIC_DECREASES, UNKNOWN

experiment_count

int64

Number of experiments that reference this resource.

format_as_percent

boolean

Whether to display the metric value as a percentage.

guardrail_cutoff_threshold

double

Threshold used when evaluating this metric as a guardrail.

metric_type

enum

Type of metric calculation.

Allowed enum values: SIMPLE, RATIO, PERCENTILE, UNKNOWN

migration_metadata

any

Metadata retained for resources imported from another system.

name

string

Display name of the metric.

numerator_aggregation

object

Source measure and aggregation settings for a metric value.

aging_threshold_days

int64

Stored aging threshold in days. The subject aging filter uses the aggregation window end and unit.

datadog_metric_measure

object

Datadog source and query that supply values for the metric.

enable_aging_subject_filter

boolean

Whether to exclude subjects whose observation time is shorter than the aggregation window.

operation

string

Aggregation applied to the selected measure.

pipeline_column_suffix

string

Suffix used to identify this value in pipeline output columns.

property_filters

[array]

Filters applied to the metric aggregation.

threshold_aggregation_type

string

Aggregation used to evaluate the threshold.

threshold_breach_value

double

Value used to determine whether the threshold is breached.

threshold_comparison_operator

string

Comparison applied between the aggregated value and the threshold.

threshold_timeframe_dimension

string

Time unit used for the threshold evaluation window.

threshold_timeframe_value

double

Size of the threshold evaluation window.

timeframe_end_value

double

End of the aggregation window in the specified time unit.

timeframe_start_value

double

Start of the aggregation window in the specified time unit.

timeframe_unit

string

Time unit used for the aggregation window.

warehouse_metric_measure

object

Warehouse measure that supplies values for the metric.

winsor_lower_fixed_value

double

Fixed lower bound used to cap metric values.

winsor_lower_percentile

double

Percentile used to determine the lower bound for capped metric values.

winsor_upper_fixed_value

double

Fixed upper bound used to cap metric values.

winsor_upper_percentile

double

Percentile used to determine the upper bound for capped metric values.

winsorization_strategy

string

Method used to cap extreme metric values.

percentile_aggregation

object

Source measure and settings for a percentile metric.

reference_url

string

URL with supporting information about the metric.

updated_at

date-time

Time when this resource was last updated.

id [required]

uuid

ID of the metric.

type [required]

enum

The metric resource type.

Default: metrics

Allowed enum values: metrics

{
  "data": {
    "attributes": {
      "created_at": "2024-01-01T12:00:00Z",
      "data_source_type": "CUSTOMER_WAREHOUSE",
      "description": "Share of sessions that reach the order confirmation page",
      "desired_change": "METRIC_INCREASES",
      "format_as_percent": true,
      "metric_type": "SIMPLE",
      "name": "Checkout conversion",
      "numerator_aggregation": {
        "operation": "sum",
        "pipeline_column_suffix": "agg001",
        "timeframe_start_value": 0,
        "warehouse_metric_measure": {
          "id": "550e8400-e29b-41d4-a716-446655440021",
          "pipeline_column_suffix": "rev001"
        }
      },
      "reference_url": "",
      "updated_at": "2024-01-01T12:00:00Z"
    },
    "id": "550e8400-e29b-41d4-a716-446655440002",
    "type": "metrics"
  }
}

Malformed metric ID (not a valid UUID).

API error response.

Champ

Type

Description

errors [required]

[object]

A list of errors.

{
  "errors": [
    {
      "detail": "Missing required attribute in body",
      "meta": {},
      "source": {
        "header": "Authorization",
        "parameter": "limit",
        "pointer": "/data/attributes/title"
      },
      "status": "400",
      "title": "Bad Request"
    }
  ]
}

Missing or invalid authentication.

API error response.

Champ

Type

Description

errors [required]

[object]

A list of errors.

{
  "errors": [
    {
      "detail": "Missing required attribute in body",
      "meta": {},
      "source": {
        "header": "Authorization",
        "parameter": "limit",
        "pointer": "/data/attributes/title"
      },
      "status": "400",
      "title": "Bad Request"
    }
  ]
}

Authenticated caller lacks the product_analytics_metrics_read permission.

API error response.

Champ

Type

Description

errors [required]

[object]

A list of errors.

{
  "errors": [
    {
      "detail": "Missing required attribute in body",
      "meta": {},
      "source": {
        "header": "Authorization",
        "parameter": "limit",
        "pointer": "/data/attributes/title"
      },
      "status": "400",
      "title": "Bad Request"
    }
  ]
}

No metric with this ID exists for the organization.

API error response.

Champ

Type

Description

errors [required]

[object]

A list of errors.

{
  "errors": [
    {
      "detail": "Missing required attribute in body",
      "meta": {},
      "source": {
        "header": "Authorization",
        "parameter": "limit",
        "pointer": "/data/attributes/title"
      },
      "status": "400",
      "title": "Bad Request"
    }
  ]
}

Too many requests

API error response.

Champ

Type

Description

errors [required]

[string]

A list of errors.

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

Exemple de code

Get metric

# Path parameters
export metric_id="550e8400-e29b-41d4-a716-446655440000"

# Set your Datadog site and credentials
export DD_SITE="datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"

curl -X GET "https://api.${DD_SITE}/api/v2/experiments/metrics/${metric_id}" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"

# Path parameters
export metric_id="550e8400-e29b-41d4-a716-446655440000"

# Set your Datadog site and credentials
export DD_SITE="us3.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"

curl -X GET "https://api.${DD_SITE}/api/v2/experiments/metrics/${metric_id}" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"

# Path parameters
export metric_id="550e8400-e29b-41d4-a716-446655440000"

# Set your Datadog site and credentials
export DD_SITE="us5.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"

curl -X GET "https://api.${DD_SITE}/api/v2/experiments/metrics/${metric_id}" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"

# Path parameters
export metric_id="550e8400-e29b-41d4-a716-446655440000"

# Set your Datadog site and credentials
export DD_SITE="datadoghq.eu"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"

curl -X GET "https://api.${DD_SITE}/api/v2/experiments/metrics/${metric_id}" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"

# Path parameters
export metric_id="550e8400-e29b-41d4-a716-446655440000"

# Set your Datadog site and credentials
export DD_SITE="ap1.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"

curl -X GET "https://api.${DD_SITE}/api/v2/experiments/metrics/${metric_id}" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"

# Path parameters
export metric_id="550e8400-e29b-41d4-a716-446655440000"

# Set your Datadog site and credentials
export DD_SITE="ap2.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"

curl -X GET "https://api.${DD_SITE}/api/v2/experiments/metrics/${metric_id}" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"

# Path parameters
export metric_id="550e8400-e29b-41d4-a716-446655440000"

# Set your Datadog site and credentials
export DD_SITE="uk1.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"

curl -X GET "https://api.${DD_SITE}/api/v2/experiments/metrics/${metric_id}" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"

# Path parameters
export metric_id="550e8400-e29b-41d4-a716-446655440000"

# Set your Datadog site and credentials
export DD_SITE="ddog-gov.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"

curl -X GET "https://api.${DD_SITE}/api/v2/experiments/metrics/${metric_id}" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"

# Path parameters
export metric_id="550e8400-e29b-41d4-a716-446655440000"

# Set your Datadog site and credentials
export DD_SITE="us2.ddog-gov.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"

curl -X GET "https://api.${DD_SITE}/api/v2/experiments/metrics/${metric_id}" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"

Get metric

// Get metric 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"
	"github.com/google/uuid"
)

func main() {
	// there is a valid "experiment_metric" in the system
	ExperimentMetricDataID := uuid.MustParse(os.Getenv("EXPERIMENT_METRIC_DATA_ID"))

	ctx := datadog.NewDefaultContext(context.Background())
	ctx = context.WithValue(ctx, datadog.ContextAccessToken, os.Getenv("DD_BEARER_TOKEN"))
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV2.NewExperimentsApi(apiClient)
	resp, r, err := api.GetMetric(ctx, ExperimentMetricDataID, *datadogV2.NewGetMetricOptionalParameters())

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

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `ExperimentsApi.GetMetric`:\n%s\n", responseContent)
}

Instructions

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

DD_SITE="datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"

DD_SITE="us3.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"

DD_SITE="us5.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"

DD_SITE="datadoghq.eu" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"

DD_SITE="ap1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"

DD_SITE="ap2.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"

DD_SITE="uk1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"

DD_SITE="ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"

DD_SITE="us2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"

Get metric

// Get metric returns "OK" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.ExperimentsApi;
import com.datadog.api.client.v2.model.ExperimentsMetricV2DTO;
import java.util.UUID;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    defaultClient.setAccessToken(System.getenv("DD_BEARER_TOKEN"));
    ExperimentsApi apiInstance = new ExperimentsApi(defaultClient);

    // there is a valid "experiment_metric" in the system
    UUID EXPERIMENT_METRIC_DATA_ID = null;
    try {
      EXPERIMENT_METRIC_DATA_ID = UUID.fromString(System.getenv("EXPERIMENT_METRIC_DATA_ID"));
    } catch (IllegalArgumentException e) {
      System.err.println("Error parsing UUID: " + e.getMessage());
    }

    try {
      ExperimentsMetricV2DTO result = apiInstance.getMetric(EXPERIMENT_METRIC_DATA_ID);
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling ExperimentsApi#getMetric");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}

Instructions

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

DD_SITE="datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"

DD_SITE="us3.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"

DD_SITE="us5.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"

DD_SITE="datadoghq.eu" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"

DD_SITE="ap1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"

DD_SITE="ap2.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"

DD_SITE="uk1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"

DD_SITE="ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"

DD_SITE="us2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"

Get metric

"""
Get metric returns "OK" response
"""

from os import environ
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.experiments_api import ExperimentsApi

# there is a valid "experiment_metric" in the system
EXPERIMENT_METRIC_DATA_ID = environ["EXPERIMENT_METRIC_DATA_ID"]

configuration = Configuration()
configuration.access_token = environ["DD_BEARER_TOKEN"]
with ApiClient(configuration) as api_client:
    api_instance = ExperimentsApi(api_client)
    response = api_instance.get_metric(
        metric_id=EXPERIMENT_METRIC_DATA_ID,
    )

    print(response)

Instructions

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

DD_SITE="datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"

DD_SITE="us3.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"

DD_SITE="us5.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"

DD_SITE="datadoghq.eu" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"

DD_SITE="ap1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"

DD_SITE="ap2.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"

DD_SITE="uk1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"

DD_SITE="ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"

DD_SITE="us2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"

Get metric

# Get metric returns "OK" response

require "datadog_api_client"
DatadogAPIClient.configure do |config|
  config.access_token = ENV["DD_BEARER_TOKEN"]
end
api_instance = DatadogAPIClient::V2::ExperimentsAPI.new

# there is a valid "experiment_metric" in the system
EXPERIMENT_METRIC_DATA_ID = ENV["EXPERIMENT_METRIC_DATA_ID"]
p api_instance.get_metric(EXPERIMENT_METRIC_DATA_ID)

Instructions

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

DD_SITE="datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"

DD_SITE="us3.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"

DD_SITE="us5.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"

DD_SITE="datadoghq.eu" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"

DD_SITE="ap1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"

DD_SITE="ap2.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"

DD_SITE="uk1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"

DD_SITE="ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"

DD_SITE="us2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"

Get metric

// Get metric returns "OK" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_experiments::ExperimentsAPI;
use datadog_api_client::datadogV2::api_experiments::GetMetricOptionalParams;

#[tokio::main]
async fn main() {
    // there is a valid "experiment_metric" in the system
    let experiment_metric_data_id =
        uuid::Uuid::parse_str(&std::env::var("EXPERIMENT_METRIC_DATA_ID").unwrap())
            .expect("Invalid UUID");
    let configuration = datadog::Configuration::new();
    let api = ExperimentsAPI::with_config(configuration);
    let resp = api
        .get_metric(
            experiment_metric_data_id.clone(),
            GetMetricOptionalParams::default(),
        )
        .await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

Instructions

First install the library and its dependencies and then save the example to src/main.rs and run following commands:

DD_SITE="datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run

DD_SITE="us3.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run

DD_SITE="us5.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run

DD_SITE="datadoghq.eu" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run

DD_SITE="ap1.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run

DD_SITE="ap2.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run

DD_SITE="uk1.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run

DD_SITE="ddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run

DD_SITE="us2.ddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run