Get experiment analysis plan
GET
https://api.datadoghq.com/api/v2/experiments/{experiment_id}/analysis-planhttps://api.us3.datadoghq.com/api/v2/experiments/{experiment_id}/analysis-planhttps://api.us5.datadoghq.com/api/v2/experiments/{experiment_id}/analysis-planhttps://api.datadoghq.eu/api/v2/experiments/{experiment_id}/analysis-planhttps://api.ap1.datadoghq.com/api/v2/experiments/{experiment_id}/analysis-planhttps://api.ap2.datadoghq.com/api/v2/experiments/{experiment_id}/analysis-planhttps://api.uk1.datadoghq.com/api/v2/experiments/{experiment_id}/analysis-planhttps://api.ddog-gov.com/api/v2/experiments/{experiment_id}/analysis-planhttps://api.us2.ddog-gov.com/api/v2/experiments/{experiment_id}/analysis-planOverview
Get the effective public statistical analysis settings for an experiment. has_custom_analysis_settings compares only settings the caller can edit; protocol-required differences from company defaults do not make the plan custom.
OAuth apps require the product_analytics_experiments_read authorization scope to access this endpoint.
Arguments
Path Parameters
Name
Type
Description
experiment_id [required]string
The UUID of the experiment.
Response
OK
Response containing the analysis settings for an experiment.
Field
Type
Description
data [required]object
Analysis plan resource with its identifier and settings.
attributesobject
Statistical settings and duration targets in the saved analysis plan.
bayesian_priorobject
Parameters of the prior distribution used for Bayesian analysis.
degrees_of_freedomdouble
Degrees of freedom of the prior distribution.
standard_deviationdouble
Standard deviation of the prior distribution.
confidence_interval_methodenum
Statistical method used to calculate the experiment results.
Allowed enum values:
Sequential, FixedSample, Bayesian, SequentialFixedHybridconfidence_leveldouble
Confidence level used for statistical analysis, expressed as a fraction.
cuped_lookback_period_daysint64
Number of days of pre-experiment data used for CUPED variance reduction.
experiment_auto_end_daysint64
Number of days configured for the experiment to end automatically.
experiment_min_durationint64
Minimum experiment duration in days configured in the analysis plan.
experiment_min_sample_sizeint64
Minimum sample size configured in the analysis plan.
has_custom_analysis_settingsboolean
Whether the experiment has custom analysis settings.
is_cuped_enabledboolean
Whether CUPED uses pre-experiment data to reduce variance in the analysis.
is_multiple_testing_correction_enabledboolean
Whether the analysis adjusts for testing multiple hypotheses.
preferential_bonferroni_primary_metric_weightdouble
Weight assigned to the primary metric in the preferential Bonferroni correction.
target_duration_daysint64
Planned experiment duration in days.
id [required]uuid
Identifier of the experiment whose analysis plan is returned.
type [required]enum
Analysis plans resource type.
analysis-plansAllowed enum values:
analysis-plans{
"data": {
"attributes": {
"bayesian_prior": {
"degrees_of_freedom": null,
"standard_deviation": 0.05
},
"confidence_interval_method": "Bayesian",
"confidence_level": 0.95,
"cuped_lookback_period_days": 30,
"experiment_auto_end_days": 0,
"experiment_min_duration": 0,
"experiment_min_sample_size": 0,
"has_custom_analysis_settings": false,
"is_cuped_enabled": true,
"is_multiple_testing_correction_enabled": false,
"preferential_bonferroni_primary_metric_weight": 0.5,
"target_duration_days": 14
},
"id": "550e8400-e29b-41d4-a716-446655440000",
"type": "analysis-plans"
}
}Malformed experiment ID.
API error response.
Field
Type
Description
errors [required][object]
A list of errors.
detailstring
A human-readable explanation specific to this occurrence of the error.
metaobject
Non-standard meta-information about the error
sourceobject
References to the source of the error.
headerstring
A string indicating the name of a single request header which caused the error.
parameterstring
A string indicating which URI query parameter caused the error.
pointerstring
A JSON pointer to the value in the request document that caused the error.
statusstring
Status code of the response.
titlestring
Short human-readable summary of the error.
{
"errors": [
{
"detail": "Missing required attribute in body",
"meta": {},
"source": {
"header": "Authorization",
"parameter": "limit",
"pointer": "/data/attributes/title"
},
"status": "400",
"title": "Bad Request"
}
]
}Unauthorized
API error response.
Field
Type
Description
errors [required][object]
A list of errors.
detailstring
A human-readable explanation specific to this occurrence of the error.
metaobject
Non-standard meta-information about the error
sourceobject
References to the source of the error.
headerstring
A string indicating the name of a single request header which caused the error.
parameterstring
A string indicating which URI query parameter caused the error.
pointerstring
A JSON pointer to the value in the request document that caused the error.
statusstring
Status code of the response.
titlestring
Short human-readable summary of the error.
{
"errors": [
{
"detail": "Missing required attribute in body",
"meta": {},
"source": {
"header": "Authorization",
"parameter": "limit",
"pointer": "/data/attributes/title"
},
"status": "400",
"title": "Bad Request"
}
]
}Forbidden
API error response.
Field
Type
Description
errors [required][object]
A list of errors.
detailstring
A human-readable explanation specific to this occurrence of the error.
metaobject
Non-standard meta-information about the error
sourceobject
References to the source of the error.
headerstring
A string indicating the name of a single request header which caused the error.
parameterstring
A string indicating which URI query parameter caused the error.
pointerstring
A JSON pointer to the value in the request document that caused the error.
statusstring
Status code of the response.
titlestring
Short human-readable summary of the error.
{
"errors": [
{
"detail": "Missing required attribute in body",
"meta": {},
"source": {
"header": "Authorization",
"parameter": "limit",
"pointer": "/data/attributes/title"
},
"status": "400",
"title": "Bad Request"
}
]
}Not Found
API error response.
Field
Type
Description
errors [required][object]
A list of errors.
detailstring
A human-readable explanation specific to this occurrence of the error.
metaobject
Non-standard meta-information about the error
sourceobject
References to the source of the error.
headerstring
A string indicating the name of a single request header which caused the error.
parameterstring
A string indicating which URI query parameter caused the error.
pointerstring
A JSON pointer to the value in the request document that caused the error.
statusstring
Status code of the response.
titlestring
Short human-readable summary of the error.
{
"errors": [
{
"detail": "Missing required attribute in body",
"meta": {},
"source": {
"header": "Authorization",
"parameter": "limit",
"pointer": "/data/attributes/title"
},
"status": "400",
"title": "Bad Request"
}
]
}Too many requests
API error response.
Field
Type
Description
errors [required][string]
A list of errors.
{
"errors": [
"Bad Request"
]
}Code Example
Get experiment analysis plan
# Path parameters
export experiment_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.${DD_SITE}/api/v2/experiments/${experiment_id}/analysis-plan" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Path parameters
export experiment_id="550e8400-e29b-41d4-a716-446655440000"
# Set your Datadog site and credentials
export DD_SITE="us3.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v2/experiments/${experiment_id}/analysis-plan" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Path parameters
export experiment_id="550e8400-e29b-41d4-a716-446655440000"
# Set your Datadog site and credentials
export DD_SITE="us5.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v2/experiments/${experiment_id}/analysis-plan" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Path parameters
export experiment_id="550e8400-e29b-41d4-a716-446655440000"
# Set your Datadog site and credentials
export DD_SITE="datadoghq.eu"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v2/experiments/${experiment_id}/analysis-plan" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Path parameters
export experiment_id="550e8400-e29b-41d4-a716-446655440000"
# Set your Datadog site and credentials
export DD_SITE="ap1.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v2/experiments/${experiment_id}/analysis-plan" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Path parameters
export experiment_id="550e8400-e29b-41d4-a716-446655440000"
# Set your Datadog site and credentials
export DD_SITE="ap2.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v2/experiments/${experiment_id}/analysis-plan" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Path parameters
export experiment_id="550e8400-e29b-41d4-a716-446655440000"
# Set your Datadog site and credentials
export DD_SITE="uk1.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v2/experiments/${experiment_id}/analysis-plan" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Path parameters
export experiment_id="550e8400-e29b-41d4-a716-446655440000"
# Set your Datadog site and credentials
export DD_SITE="ddog-gov.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v2/experiments/${experiment_id}/analysis-plan" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Path parameters
export experiment_id="550e8400-e29b-41d4-a716-446655440000"
# Set your Datadog site and credentials
export DD_SITE="us2.ddog-gov.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v2/experiments/${experiment_id}/analysis-plan" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"Get experiment analysis plan
// Get experiment analysis plan 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" in the system
ExperimentDataID := uuid.MustParse(os.Getenv("EXPERIMENT_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.GetExperimentAnalysisPlan(ctx, ExperimentDataID)
if err != nil {
fmt.Fprintf(os.Stderr, "Error when calling `ExperimentsApi.GetExperimentAnalysisPlan`: %v\n", err)
fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
}
responseContent, _ := json.MarshalIndent(resp, "", " ")
fmt.Fprintf(os.Stdout, "Response from `ExperimentsApi.GetExperimentAnalysisPlan`:\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 experiment analysis plan
// Get experiment analysis plan 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.ExperimentsAnalysisPlanV2DTO;
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" in the system
UUID EXPERIMENT_DATA_ID = null;
try {
EXPERIMENT_DATA_ID = UUID.fromString(System.getenv("EXPERIMENT_DATA_ID"));
} catch (IllegalArgumentException e) {
System.err.println("Error parsing UUID: " + e.getMessage());
}
try {
ExperimentsAnalysisPlanV2DTO result =
apiInstance.getExperimentAnalysisPlan(EXPERIMENT_DATA_ID);
System.out.println(result);
} catch (ApiException e) {
System.err.println("Exception when calling ExperimentsApi#getExperimentAnalysisPlan");
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 experiment analysis plan
"""
Get experiment analysis plan 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" in the system
EXPERIMENT_DATA_ID = environ["EXPERIMENT_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_experiment_analysis_plan(
experiment_id=EXPERIMENT_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 experiment analysis plan
# Get experiment analysis plan 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" in the system
EXPERIMENT_DATA_ID = ENV["EXPERIMENT_DATA_ID"]
p api_instance.get_experiment_analysis_plan(EXPERIMENT_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 experiment analysis plan
// Get experiment analysis plan returns "OK" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_experiments::ExperimentsAPI;
#[tokio::main]
async fn main() {
// there is a valid "experiment" in the system
let experiment_data_id =
uuid::Uuid::parse_str(&std::env::var("EXPERIMENT_DATA_ID").unwrap()).expect("Invalid UUID");
let configuration = datadog::Configuration::new();
let api = ExperimentsAPI::with_config(configuration);
let resp = api
.get_experiment_analysis_plan(experiment_data_id.clone())
.await;
if let Ok(value) = resp {
println!("{:#?}", value);
} else {
println!("{:#?}", resp.unwrap_err());
}
}
Instructions
First install the library and its dependencies and then save the example to src/main.rs and run following commands:
DD_SITE="datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="us3.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="us5.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="datadoghq.eu" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="ap1.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="ap2.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="uk1.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="ddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="us2.ddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run