--- title: Get experiment results 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 results{% #get-experiment-results %} {% tab title="v2" %} | Datadog site | API endpoint | | ----------------- | ---------------------------------------------------------------------------- | | ap1.datadoghq.com | GET https://api.ap1.datadoghq.com/api/v2/experiments/{experiment_id}/results | | ap2.datadoghq.com | GET https://api.ap2.datadoghq.com/api/v2/experiments/{experiment_id}/results | | app.datadoghq.eu | GET https://api.datadoghq.eu/api/v2/experiments/{experiment_id}/results | | app.ddog-gov.com | GET https://api.ddog-gov.com/api/v2/experiments/{experiment_id}/results | | us2.ddog-gov.com | GET https://api.us2.ddog-gov.com/api/v2/experiments/{experiment_id}/results | | uk1.datadoghq.com | GET https://api.uk1.datadoghq.com/api/v2/experiments/{experiment_id}/results | | app.datadoghq.com | GET https://api.datadoghq.com/api/v2/experiments/{experiment_id}/results | | us3.datadoghq.com | GET https://api.us3.datadoghq.com/api/v2/experiments/{experiment_id}/results | | us5.datadoghq.com | GET https://api.us5.datadoghq.com/api/v2/experiments/{experiment_id}/results | ### Overview Get an experiment's computed results: per-variant statistical analysis for the latest successful run. A historical run cannot be selected. Unavailable analysis statistics, including `p_value` and `confidence_interval`, are omitted. The `numerator`, `denominator`, and `variant_metric_value` fields can be null when their values are unavailable. Do not treat an omitted or null value as zero. 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" %} List of variant result resources. | Parent field | Field | Type | Description | | ------------------- | --------------------------- | --------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | | | data [*required*] | [object] | Resources returned in this response. | | data | attributes | object | Details of the variant result. | | attributes | assignment_count | int64 | Number of subjects assigned to this variant. | | attributes | experiment_id | string | ID of the experiment associated with this result. | | attributes | is_control | boolean | Whether this variant is the experiment's control. | | attributes | metrics | [object] | Metrics reported for this variant. | | metrics | analyses | [object] | Statistical analyses calculated for this metric and variant. | | analyses | confidence_interval | object | Lower and upper bounds of the reported statistical interval. | | confidence_interval | lower | double | Lower bound of the reported interval. | | confidence_interval | upper | double | Upper bound of the reported interval. | | analyses | confidence_level | double | Configured nominal confidence level. Interval bounds can use an adjusted level for multiple testing or hybrid methods. | | analyses | evsi | double | Expected reduction in minimum expected regret from collecting more sample data. | | analyses | expectation_above_zero | double | Expected effect when the effect is positive. | | analyses | expectation_below_zero | double | Expected effect when the effect is negative. | | analyses | global_lift | double | Estimated lift across the population. Calculated as metric coverage multiplied by the experiment lift. | | analyses | global_lift_lower_bound | double | Lower bound of the estimated lift across the population. | | analyses | global_lift_upper_bound | double | Upper bound of the estimated lift across the population. | | analyses | is_cuped_adjusted | boolean | Whether CUPED used pre-experiment data to reduce variance in this result. | | analyses | is_unreliable | boolean | Whether the statistical result is marked as unreliable. | | analyses | lift_type | enum | Whether the reported lift is relative or absolute. Allowed enum values: `RELATIVE,ABSOLUTE,UNKNOWN` | | analyses | method | enum | Statistical method used to calculate this result. Allowed enum values: `FIXED_SAMPLE,BAYESIAN,SEQUENTIAL,SEQUENTIAL_FIXED_HYBRID,UNKNOWN` | | analyses | minimum_expected_regret | double | The smaller expected opportunity cost of choosing treatment or control. | | analyses | p_value | double | Probability, under the no-effect hypothesis, of a result at least as extreme as the observed result. | | analyses | point_estimate | double | Estimated difference between the variant and control for this metric. | | analyses | probability_above_zero | double | Estimated probability that the effect is greater than zero. | | analyses | probability_below_zero | double | Estimated probability that the effect is less than zero. | | analyses | standard_error | double | Estimated uncertainty in the effect estimate. | | analyses | unreliable_reason | enum | Reason that the statistical result is marked as unreliable. Allowed enum values: `CONTROL_DENOMINATOR_NEAR_ZERO,TREATMENT_DENOMINATOR_NEAR_ZERO,CONTROL_AND_TREATMENT_DENOMINATORS_NEAR_ZERO,CONTROL_MEAN_NEAR_ZERO,ZERO_VARIANCE,UNKNOWN` | | analyses | variant_metric_value | double | Metric value calculated for this variant. | | analyses | z_score | double | Standardized statistic used to compare the observed effect with zero. | | metrics | assignment_count | int64 | Number of subjects assigned to this variant. | | metrics | coverage | double | Estimated share of the global metric total from the eligible population if that population received control. The estimate can exceed 1. | | metrics | coverage_summary | object | Population totals and allocation used to calculate metric coverage. | | coverage_summary | control_total | double | Total metric value for the control population in the coverage calculation. | | coverage_summary | coverage | double | Estimated share of the global metric total from the eligible population if that population received control. The estimate can exceed 1. | | coverage_summary | coverage_unavailable_reason | string | Reason that metric coverage could not be calculated. | | coverage_summary | eligible_population_total | double | Estimated metric total for the eligible population if that population received control. | | coverage_summary | experiment_total | double | Total metric value for the experiment population in the coverage calculation. | | coverage_summary | global_metric_total | double | Observed metric total across subjects inside and outside the experiment. | | coverage_summary | traffic_allocation | double | Fraction of eligible traffic allocated to the experiment, weighted by time. | | metrics | coverage_unavailable_reason | string | Reason that metric coverage could not be calculated. | | metrics | denominator | double | Aggregated denominator value for this metric and variant. | | metrics | desired_change | enum | Direction of metric change considered desirable. Allowed enum values: `METRIC_INCREASES,METRIC_DECREASES,UNKNOWN` | | metrics | metric_id | string | ID of the metric represented by this entry. | | metrics | metric_name | string | Display name of the metric represented by this entry. | | metrics | numerator | double | Aggregated numerator value for this metric and variant. | | metrics | sub_metric_property_name | string | Name of the property used to split this metric result. | | metrics | sub_metric_property_value | string | Property value represented by this split metric result. | | attributes | variant_key | string | Key that identifies the experiment variant. | | attributes | variant_name | string | Display name of the experiment variant. | | data | id [*required*] | string | ID of the variant result. | | data | type [*required*] | enum | Experiment variant results resource type. Allowed enum values: `experiment-variant-results` | | | meta | object | Information about when experiment results were updated and whether they are stale. | | meta | is_stale | boolean | Whether the saved results require a refresh or their freshness cannot be confirmed. See stale_reasons for details. | | meta | results_last_updated | date-time | Time when the experiment results were last updated. | | meta | stale_reasons | [string] | Reasons the saved experiment results are stale. | {% /tab %} {% tab title="Example" %} ```json { "data": [ { "attributes": { "assignment_count": "integer", "experiment_id": "string", "is_control": false, "metrics": [ { "analyses": [ { "confidence_interval": { "lower": "number", "upper": "number" }, "confidence_level": "number", "evsi": "number", "expectation_above_zero": "number", "expectation_below_zero": "number", "global_lift": "number", "global_lift_lower_bound": "number", "global_lift_upper_bound": "number", "is_cuped_adjusted": false, "is_unreliable": false, "lift_type": "string", "method": "string", "minimum_expected_regret": "number", "p_value": "number", "point_estimate": "number", "probability_above_zero": "number", "probability_below_zero": "number", "standard_error": "number", "unreliable_reason": "string", "variant_metric_value": "number", "z_score": "number" } ], "assignment_count": "integer", "coverage": "number", "coverage_summary": { "control_total": "number", "coverage": "number", "coverage_unavailable_reason": "string", "eligible_population_total": "number", "experiment_total": "number", "global_metric_total": "number", "traffic_allocation": "number" }, "coverage_unavailable_reason": "string", "denominator": "number", "desired_change": "METRIC_INCREASES", "metric_id": "string", "metric_name": "string", "numerator": "number", "sub_metric_property_name": "string", "sub_metric_property_value": "string" } ], "variant_key": "string", "variant_name": "string" }, "id": "550e8400-e29b-41d4-a716-446655440000:treatment", "type": "experiment-variant-results" } ], "meta": { "is_stale": true, "results_last_updated": "2026-08-05T09:25:00Z", "stale_reasons": [ "ANALYSIS_PLAN_CHANGED" ] } } ``` {% /tab %} {% /tab %} {% tab title="400" %} Malformed experiment ID (not a valid UUID), or the experiment is not configured for analysis. {% 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" %} Missing or invalid authentication. {% 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" %} Authenticated caller lacks the product_analytics_experiments_read permission. {% 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" %} No experiment with this ID exists, or results are not available for it yet. {% 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="409" %} The experiment's metrics are incompatible with analysis. {% 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}/results" \ -H "Accept: application/json" \ -H "Authorization: Bearer ${DD_BEARER_TOKEN}" ##### ```python """ Get experiment results returns "OK" response """ from os import environ from datadog_api_client import ApiClient, Configuration from datadog_api_client.v2.api.experiments_api import ExperimentsApi from uuid import UUID 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_results( experiment_id=UUID("550e8400-e29b-41d4-a716-446655440000"), ) 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 results 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 p api_instance.get_experiment_results("550e8400-e29b-41d4-a716-446655440000") ``` #### 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 results 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() { 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.GetExperimentResults(ctx, uuid.MustParse("550e8400-e29b-41d4-a716-446655440000")) if err != nil { fmt.Fprintf(os.Stderr, "Error when calling `ExperimentsApi.GetExperimentResults`: %v\n", err) fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r) } responseContent, _ := json.MarshalIndent(resp, "", " ") fmt.Fprintf(os.Stdout, "Response from `ExperimentsApi.GetExperimentResults`:\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 results 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.ExperimentsVariantResultsV2DTOArray; 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); try { ExperimentsVariantResultsV2DTOArray result = apiInstance.getExperimentResults(UUID.fromString("550e8400-e29b-41d4-a716-446655440000")); System.out.println(result); } catch (ApiException e) { System.err.println("Exception when calling ExperimentsApi#getExperimentResults"); 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 results returns "OK" response use datadog_api_client::datadog; use datadog_api_client::datadogV2::api_experiments::ExperimentsAPI; use uuid::Uuid; #[tokio::main] async fn main() { let configuration = datadog::Configuration::new(); let api = ExperimentsAPI::with_config(configuration); let resp = api .get_experiment_results( Uuid::parse_str("550e8400-e29b-41d4-a716-446655440000").expect("invalid UUID"), ) .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 %}