--- title: Get experiment analysis plan description: Datadog, the leading service for cloud-scale monitoring. breadcrumbs: Docs > API Reference > Experiments --- > For the complete documentation index, see [llms.txt](https://docs.datadoghq.com/llms.txt). {% callout %} # Important note for users on the following Datadog sites: app.ddog-gov.com, us2.ddog-gov.com {% alert level="danger" %} This product is not supported for your selected [Datadog site](https://docs.datadoghq.com/getting_started/site.md). ({% placeholder "user-datadog-site-name" /%}). {% /alert %} {% /callout %} # Get experiment analysis plan{% #get-experiment-analysis-plan %} {% tab title="v2" %} | Datadog site | API endpoint | | ----------------- | ---------------------------------------------------------------------------------- | | ap1.datadoghq.com | GET https://api.ap1.datadoghq.com/api/v2/experiments/{experiment_id}/analysis-plan | | ap2.datadoghq.com | GET https://api.ap2.datadoghq.com/api/v2/experiments/{experiment_id}/analysis-plan | | app.datadoghq.eu | GET https://api.datadoghq.eu/api/v2/experiments/{experiment_id}/analysis-plan | | app.ddog-gov.com | GET https://api.ddog-gov.com/api/v2/experiments/{experiment_id}/analysis-plan | | us2.ddog-gov.com | GET https://api.us2.ddog-gov.com/api/v2/experiments/{experiment_id}/analysis-plan | | uk1.datadoghq.com | GET https://api.uk1.datadoghq.com/api/v2/experiments/{experiment_id}/analysis-plan | | app.datadoghq.com | GET https://api.datadoghq.com/api/v2/experiments/{experiment_id}/analysis-plan | | us3.datadoghq.com | GET https://api.us3.datadoghq.com/api/v2/experiments/{experiment_id}/analysis-plan | | us5.datadoghq.com | GET https://api.us5.datadoghq.com/api/v2/experiments/{experiment_id}/analysis-plan | ### Overview 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. This endpoint requires the `product_analytics_experiments_read` permission. OAuth apps require the `product_analytics_experiments_read` authorization [scope](https://docs.datadoghq.com/api/latest/scopes.md#experiments) to access this endpoint. ### Arguments #### Path Parameters | Name | Type | Description | | ------------------------------- | ------ | --------------------------- | | experiment_id [*required*] | string | The UUID of the experiment. | ### Response {% tab title="200" %} OK {% tab title="Model" %} Response containing the analysis settings for an experiment. | Parent field | Field | Type | Description | | -------------- | --------------------------------------------- | ------- | ----------------------------------------------------------------------------------------------------------------------------------------- | | | data [*required*] | object | Analysis plan resource with its identifier and settings. | | data | attributes | object | Statistical settings and duration targets in the saved analysis plan. | | attributes | bayesian_prior | object | Parameters of the prior distribution used for Bayesian analysis. | | bayesian_prior | degrees_of_freedom | double | Degrees of freedom of the prior distribution. | | bayesian_prior | standard_deviation | double | Standard deviation of the prior distribution. | | attributes | confidence_interval_method | enum | Statistical method used to calculate the experiment results. Allowed enum values: `Sequential,FixedSample,Bayesian,SequentialFixedHybrid` | | attributes | confidence_level | double | Confidence level used for statistical analysis, expressed as a fraction. | | attributes | cuped_lookback_period_days | int64 | Number of days of pre-experiment data used for CUPED variance reduction. | | attributes | experiment_auto_end_days | int64 | Number of days configured for the experiment to end automatically. | | attributes | experiment_min_duration | int64 | Minimum experiment duration in days configured in the analysis plan. | | attributes | experiment_min_sample_size | int64 | Minimum sample size configured in the analysis plan. | | attributes | has_custom_analysis_settings | boolean | Whether the experiment has custom analysis settings. | | attributes | is_cuped_enabled | boolean | Whether CUPED uses pre-experiment data to reduce variance in the analysis. | | attributes | is_multiple_testing_correction_enabled | boolean | Whether the analysis adjusts for testing multiple hypotheses. | | attributes | preferential_bonferroni_primary_metric_weight | double | Weight assigned to the primary metric in the preferential Bonferroni correction. | | attributes | target_duration_days | int64 | Planned experiment duration in days. | | data | id [*required*] | uuid | Identifier of the experiment whose analysis plan is returned. | | data | type [*required*] | enum | Analysis plans resource type. Allowed enum values: `analysis-plans` | {% /tab %} {% tab title="Example" %} ```json { "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" } } ``` {% /tab %} {% /tab %} {% tab title="400" %} Malformed experiment ID. {% tab title="Model" %} API error response. | Parent field | Field | Type | Description | | ------------ | ------------------------ | -------- | ------------------------------------------------------------------------------- | | | errors [*required*] | [object] | A list of errors. | | errors | detail | string | A human-readable explanation specific to this occurrence of the error. | | errors | meta | object | Non-standard meta-information about the error | | errors | source | object | References to the source of the error. | | source | header | string | A string indicating the name of a single request header which caused the error. | | source | parameter | string | A string indicating which URI query parameter caused the error. | | source | pointer | string | A JSON pointer to the value in the request document that caused the error. | | errors | status | string | Status code of the response. | | errors | title | string | Short human-readable summary of the error. | {% /tab %} {% tab title="Example" %} ```json { "errors": [ { "detail": "Missing required attribute in body", "meta": {}, "source": { "header": "Authorization", "parameter": "limit", "pointer": "/data/attributes/title" }, "status": "400", "title": "Bad Request" } ] } ``` {% /tab %} {% /tab %} {% tab title="401" %} Unauthorized {% tab title="Model" %} API error response. | Parent field | Field | Type | Description | | ------------ | ------------------------ | -------- | ------------------------------------------------------------------------------- | | | errors [*required*] | [object] | A list of errors. | | errors | detail | string | A human-readable explanation specific to this occurrence of the error. | | errors | meta | object | Non-standard meta-information about the error | | errors | source | object | References to the source of the error. | | source | header | string | A string indicating the name of a single request header which caused the error. | | source | parameter | string | A string indicating which URI query parameter caused the error. | | source | pointer | string | A JSON pointer to the value in the request document that caused the error. | | errors | status | string | Status code of the response. | | errors | title | string | Short human-readable summary of the error. | {% /tab %} {% tab title="Example" %} ```json { "errors": [ { "detail": "Missing required attribute in body", "meta": {}, "source": { "header": "Authorization", "parameter": "limit", "pointer": "/data/attributes/title" }, "status": "400", "title": "Bad Request" } ] } ``` {% /tab %} {% /tab %} {% tab title="403" %} Forbidden {% tab title="Model" %} API error response. | Parent field | Field | Type | Description | | ------------ | ------------------------ | -------- | ------------------------------------------------------------------------------- | | | errors [*required*] | [object] | A list of errors. | | errors | detail | string | A human-readable explanation specific to this occurrence of the error. | | errors | meta | object | Non-standard meta-information about the error | | errors | source | object | References to the source of the error. | | source | header | string | A string indicating the name of a single request header which caused the error. | | source | parameter | string | A string indicating which URI query parameter caused the error. | | source | pointer | string | A JSON pointer to the value in the request document that caused the error. | | errors | status | string | Status code of the response. | | errors | title | string | Short human-readable summary of the error. | {% /tab %} {% tab title="Example" %} ```json { "errors": [ { "detail": "Missing required attribute in body", "meta": {}, "source": { "header": "Authorization", "parameter": "limit", "pointer": "/data/attributes/title" }, "status": "400", "title": "Bad Request" } ] } ``` {% /tab %} {% /tab %} {% tab title="404" %} Not Found {% tab title="Model" %} API error response. | Parent field | Field | Type | Description | | ------------ | ------------------------ | -------- | ------------------------------------------------------------------------------- | | | errors [*required*] | [object] | A list of errors. | | errors | detail | string | A human-readable explanation specific to this occurrence of the error. | | errors | meta | object | Non-standard meta-information about the error | | errors | source | object | References to the source of the error. | | source | header | string | A string indicating the name of a single request header which caused the error. | | source | parameter | string | A string indicating which URI query parameter caused the error. | | source | pointer | string | A JSON pointer to the value in the request document that caused the error. | | errors | status | string | Status code of the response. | | errors | title | string | Short human-readable summary of the error. | {% /tab %} {% tab title="Example" %} ```json { "errors": [ { "detail": "Missing required attribute in body", "meta": {}, "source": { "header": "Authorization", "parameter": "limit", "pointer": "/data/attributes/title" }, "status": "400", "title": "Bad Request" } ] } ``` {% /tab %} {% /tab %} {% tab title="429" %} Too many requests {% tab title="Model" %} API error response. | Field | Type | Description | | ------------------------ | -------- | ----------------- | | errors [*required*] | [string] | A list of errors. | {% /tab %} {% tab title="Example" %} ```json { "errors": [ "Bad Request" ] } ``` {% /tab %} {% /tab %} ### Code Example ##### \# Path parameters export experiment_id="550e8400-e29b-41d4-a716-446655440000" \# Use a Personal Access Token or Service Access Token export DD_BEARER_TOKEN="" \# Curl command curl -X GET "https://api.datadoghq.com/api/v2/experiments/${experiment_id}/analysis-plan" \ -H "Accept: application/json" \ -H "Authorization: Bearer ${DD_BEARER_TOKEN}" ##### ```python """ 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](https://docs.datadoghq.com/api/latest.md?code-lang=python) and then save the example to `example.py` and run following commands: DD_SITE="datadoghq.com" DD_BEARER_TOKEN="" python3 "example.py" ##### ```ruby # 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](https://docs.datadoghq.com/api/latest.md?code-lang=ruby) and then save the example to `example.rb` and run following commands: DD_SITE="datadoghq.com" DD_BEARER_TOKEN="" rb "example.rb" ##### ```go // 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](https://docs.datadoghq.com/api/latest.md?code-lang=go) and then save the example to `main.go` and run following commands: DD_SITE="datadoghq.com" DD_BEARER_TOKEN="" go run "main.go" ##### ```java // 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](https://docs.datadoghq.com/api/latest.md?code-lang=java) and then save the example to `Example.java` and run following commands: DD_SITE="datadoghq.com" DD_BEARER_TOKEN="" java "Example.java" ##### ```rust // 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](https://docs.datadoghq.com/api/latest.md?code-lang=rust) and then save the example to `src/main.rs` and run following commands: DD_SITE="datadoghq.com" DD_API_KEY="" DD_APP_KEY="" cargo run {% /tab %}