--- title: Submit distribution points description: Datadog, the leading service for cloud-scale monitoring. breadcrumbs: Docs > API Reference > Metrics --- # Submit distribution points{% #submit-distribution-points %} {% tab title="v1" %} | Datadog site | API endpoint | | ----------------- | ------------------------------------------------------------- | | ap1.datadoghq.com | POST https://api.ap1.datadoghq.com/api/v1/distribution_points | | ap2.datadoghq.com | POST https://api.ap2.datadoghq.com/api/v1/distribution_points | | app.datadoghq.eu | POST https://api.datadoghq.eu/api/v1/distribution_points | | app.ddog-gov.com | POST https://api.ddog-gov.com/api/v1/distribution_points | | us2.ddog-gov.com | POST https://api.us2.ddog-gov.com/api/v1/distribution_points | | app.datadoghq.com | POST https://api.datadoghq.com/api/v1/distribution_points | | us3.datadoghq.com | POST https://api.us3.datadoghq.com/api/v1/distribution_points | | us5.datadoghq.com | POST https://api.us5.datadoghq.com/api/v1/distribution_points | ### Overview The distribution points end-point allows you to post distribution data that can be graphed on Datadog's dashboards. ### Arguments #### Header Parameters | Name | Type | Description | | ---------------- | ------ | -------------------------------------------- | | Content-Encoding | string | HTTP header used to compress the media-type. | ### Request #### Body Data (required) {% tab title="Model" %} | Parent field | Field | Type | Description | | ------------ | ------------------------ | -------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | | | series [*required*] | [object] | A list of distribution points series to submit to Datadog. | | series | host | string | The name of the host that produced the distribution point metric. | | series | metric [*required*] | string | The name of the distribution points metric. | | series | points [*required*] | [array] | Points relating to the distribution point metric. All points must be tuples with timestamp and a list of values (cannot be a string). Timestamps should be in POSIX time in seconds. | | series | tags | [string] | A list of tags associated with the distribution point metric. | | series | type | enum | The type of the distribution point. Allowed enum values: `distribution` | {% /tab %} {% tab title="Example" %} ##### ```json { "series": [ { "metric": "system.load.1.dist", "points": [ [ 1636629071, [ 1.0, 2.0 ] ] ] } ] } ``` ##### ```json { "series": [ { "metric": "system.load.1.dist", "points": [ [ 1636629071, [ 1.0, 2.0 ] ] ] } ] } ``` {% /tab %} ### Response {% tab title="202" %} Payload accepted {% tab title="Model" %} The payload accepted for intake. | Field | Type | Description | | ------ | ------ | --------------------------------- | | status | string | The status of the intake payload. | {% /tab %} {% tab title="Example" %} ```json { "status": "ok" } ``` {% /tab %} {% /tab %} {% tab title="400" %} Bad Request {% tab title="Model" %} Error response object. | Field | Type | Description | | ------------------------ | -------- | ------------------------------------ | | errors [*required*] | [string] | Array of errors returned by the API. | {% /tab %} {% tab title="Example" %} ```json { "errors": [ "Bad Request" ] } ``` {% /tab %} {% /tab %} {% tab title="403" %} Authentication error {% tab title="Model" %} Error response object. | Field | Type | Description | | ------------------------ | -------- | ------------------------------------ | | errors [*required*] | [string] | Array of errors returned by the API. | {% /tab %} {% tab title="Example" %} ```json { "errors": [ "Bad Request" ] } ``` {% /tab %} {% /tab %} {% tab title="408" %} Request timeout {% tab title="Model" %} Error response object. | Field | Type | Description | | ------------------------ | -------- | ------------------------------------ | | errors [*required*] | [string] | Array of errors returned by the API. | {% /tab %} {% tab title="Example" %} ```json { "errors": [ "Bad Request" ] } ``` {% /tab %} {% /tab %} {% tab title="413" %} Payload too large {% tab title="Model" %} Error response object. | Field | Type | Description | | ------------------------ | -------- | ------------------------------------ | | errors [*required*] | [string] | Array of errors returned by the API. | {% /tab %} {% tab title="Example" %} ```json { "errors": [ "Bad Request" ] } ``` {% /tab %} {% /tab %} {% tab title="429" %} Too many requests {% tab title="Model" %} Error response object. | Field | Type | Description | | ------------------------ | -------- | ------------------------------------ | | errors [*required*] | [string] | Array of errors returned by the API. | {% /tab %} {% tab title="Example" %} ```json { "errors": [ "Bad Request" ] } ``` {% /tab %} {% /tab %} ### Code Example ##### \## default # See one of the other client libraries for an example of sending deflate-compressed data. \## Dynamic Points # Post time-series data that can be graphed on Datadog's dashboards. See one of the other client libraries for an example of sending deflate-compressed data. ##### \## default # \# Curl command curl -X POST "https://api.datadoghq.com/api/v1/distribution_points" \ -H "Accept: application/json" \ -H "Content-Type: text/json" \ -H "DD-API-KEY: ${DD_API_KEY}" \ -d @- << EOF { "series": [ { "host": "test.example.com", "metric": "system.load.1", "points": [ [ 1636629071, [ 1, 2 ] ] ], "tags": [ "environment:test" ], "type": "distribution" } ] } EOF \## Dynamic Points # Post time-series data that can be graphed on Datadog's dashboards. \# Template variables export NOW="$(date +%s)" \# Curl command curl -X POST "https://api.datadoghq.com/api/v1/distribution_points" \ -H "Accept: application/json" \ -H "Content-Type: text/json" \ -H "DD-API-KEY: ${DD_API_KEY}" \ -d @- << EOF { "series": [ { "metric": "system.load.1.dist", "points": [[${NOW}, [1234.5]]] } ] } EOF ##### ```go // Submit deflate distribution points returns "Payload accepted" 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() { body := datadogV1.DistributionPointsPayload{ Series: []datadogV1.DistributionPointsSeries{ { Metric: "system.load.1.dist", Points: [][]datadogV1.DistributionPointItem{ { {DistributionPointTimestamp: datadog.PtrFloat64(float64(time.Now().Unix()))}, {DistributionPointData: &[]float64{ 1.0, 2.0, }}, }, }, }, }, } ctx := datadog.NewDefaultContext(context.Background()) configuration := datadog.NewConfiguration() apiClient := datadog.NewAPIClient(configuration) api := datadogV1.NewMetricsApi(apiClient) resp, r, err := api.SubmitDistributionPoints(ctx, body, *datadogV1.NewSubmitDistributionPointsOptionalParameters().WithContentEncoding(datadogV1.DISTRIBUTIONPOINTSCONTENTENCODING_DEFLATE)) if err != nil { fmt.Fprintf(os.Stderr, "Error when calling `MetricsApi.SubmitDistributionPoints`: %v\n", err) fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r) } responseContent, _ := json.MarshalIndent(resp, "", " ") fmt.Fprintf(os.Stdout, "Response from `MetricsApi.SubmitDistributionPoints`:\n%s\n", responseContent) } ``` ##### ```go // Submit distribution points returns "Payload accepted" 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() { body := datadogV1.DistributionPointsPayload{ Series: []datadogV1.DistributionPointsSeries{ { Metric: "system.load.1.dist", Points: [][]datadogV1.DistributionPointItem{ { {DistributionPointTimestamp: datadog.PtrFloat64(float64(time.Now().Unix()))}, {DistributionPointData: &[]float64{ 1.0, 2.0, }}, }, }, }, }, } ctx := datadog.NewDefaultContext(context.Background()) configuration := datadog.NewConfiguration() apiClient := datadog.NewAPIClient(configuration) api := datadogV1.NewMetricsApi(apiClient) resp, r, err := api.SubmitDistributionPoints(ctx, body, *datadogV1.NewSubmitDistributionPointsOptionalParameters()) if err != nil { fmt.Fprintf(os.Stderr, "Error when calling `MetricsApi.SubmitDistributionPoints`: %v\n", err) fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r) } responseContent, _ := json.MarshalIndent(resp, "", " ") fmt.Fprintf(os.Stdout, "Response from `MetricsApi.SubmitDistributionPoints`:\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_API_KEY="" go run "main.go" ##### ```java // Submit deflate distribution points returns "Payload accepted" response import com.datadog.api.client.ApiClient; import com.datadog.api.client.ApiException; import com.datadog.api.client.v1.api.MetricsApi; import com.datadog.api.client.v1.api.MetricsApi.SubmitDistributionPointsOptionalParameters; import com.datadog.api.client.v1.model.DistributionPointItem; import com.datadog.api.client.v1.model.DistributionPointsContentEncoding; import com.datadog.api.client.v1.model.DistributionPointsPayload; import com.datadog.api.client.v1.model.DistributionPointsSeries; import com.datadog.api.client.v1.model.IntakePayloadAccepted; import java.time.OffsetDateTime; import java.util.Arrays; import java.util.Collections; public class Example { public static void main(String[] args) { ApiClient defaultClient = ApiClient.getDefaultApiClient(); MetricsApi apiInstance = new MetricsApi(defaultClient); DistributionPointsPayload body = new DistributionPointsPayload() .series( Collections.singletonList( new DistributionPointsSeries() .metric("system.load.1.dist") .points( Collections.singletonList( Arrays.asList( new DistributionPointItem( Long.valueOf( OffsetDateTime.now().toInstant().getEpochSecond()) .doubleValue()), new DistributionPointItem(Arrays.asList(1.0, 2.0))))))); try { IntakePayloadAccepted result = apiInstance.submitDistributionPoints( body, new SubmitDistributionPointsOptionalParameters() .contentEncoding(DistributionPointsContentEncoding.DEFLATE)); System.out.println(result); } catch (ApiException e) { System.err.println("Exception when calling MetricsApi#submitDistributionPoints"); System.err.println("Status code: " + e.getCode()); System.err.println("Reason: " + e.getResponseBody()); System.err.println("Response headers: " + e.getResponseHeaders()); e.printStackTrace(); } } } ``` ##### ```java // Submit distribution points returns "Payload accepted" response import com.datadog.api.client.ApiClient; import com.datadog.api.client.ApiException; import com.datadog.api.client.v1.api.MetricsApi; import com.datadog.api.client.v1.model.DistributionPointItem; import com.datadog.api.client.v1.model.DistributionPointsPayload; import com.datadog.api.client.v1.model.DistributionPointsSeries; import com.datadog.api.client.v1.model.IntakePayloadAccepted; import java.time.OffsetDateTime; import java.util.Arrays; import java.util.Collections; public class Example { public static void main(String[] args) { ApiClient defaultClient = ApiClient.getDefaultApiClient(); MetricsApi apiInstance = new MetricsApi(defaultClient); DistributionPointsPayload body = new DistributionPointsPayload() .series( Collections.singletonList( new DistributionPointsSeries() .metric("system.load.1.dist") .points( Collections.singletonList( Arrays.asList( new DistributionPointItem( Long.valueOf( OffsetDateTime.now().toInstant().getEpochSecond()) .doubleValue()), new DistributionPointItem(Arrays.asList(1.0, 2.0))))))); try { IntakePayloadAccepted result = apiInstance.submitDistributionPoints(body); System.out.println(result); } catch (ApiException e) { System.err.println("Exception when calling MetricsApi#submitDistributionPoints"); 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_API_KEY="" java "Example.java" ##### ```python """ Submit deflate distribution points returns "Payload accepted" response """ from datetime import datetime from datadog_api_client import ApiClient, Configuration from datadog_api_client.v1.api.metrics_api import MetricsApi from datadog_api_client.v1.model.distribution_point import DistributionPoint from datadog_api_client.v1.model.distribution_points_content_encoding import DistributionPointsContentEncoding from datadog_api_client.v1.model.distribution_points_payload import DistributionPointsPayload from datadog_api_client.v1.model.distribution_points_series import DistributionPointsSeries body = DistributionPointsPayload( series=[ DistributionPointsSeries( metric="system.load.1.dist", points=[ DistributionPoint( [ datetime.now().timestamp(), [1.0, 2.0], ] ), ], ), ], ) configuration = Configuration() with ApiClient(configuration) as api_client: api_instance = MetricsApi(api_client) response = api_instance.submit_distribution_points( content_encoding=DistributionPointsContentEncoding.DEFLATE, body=body ) print(response) ``` ##### ```python """ Submit distribution points returns "Payload accepted" response """ from datetime import datetime from datadog_api_client import ApiClient, Configuration from datadog_api_client.v1.api.metrics_api import MetricsApi from datadog_api_client.v1.model.distribution_point import DistributionPoint from datadog_api_client.v1.model.distribution_points_payload import DistributionPointsPayload from datadog_api_client.v1.model.distribution_points_series import DistributionPointsSeries body = DistributionPointsPayload( series=[ DistributionPointsSeries( metric="system.load.1.dist", points=[ DistributionPoint( [ datetime.now().timestamp(), [1.0, 2.0], ] ), ], ), ], ) configuration = Configuration() with ApiClient(configuration) as api_client: api_instance = MetricsApi(api_client) response = api_instance.submit_distribution_points(body=body) 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_API_KEY="" python3 "example.py" ##### ```ruby # Submit deflate distribution points returns "Payload accepted" response require "datadog_api_client" api_instance = DatadogAPIClient::V1::MetricsAPI.new body = DatadogAPIClient::V1::DistributionPointsPayload.new({ series: [ DatadogAPIClient::V1::DistributionPointsSeries.new({ metric: "system.load.1.dist", points: [ [ Time.now, [ 1.0, 2.0, ], ], ], }), ], }) opts = { content_encoding: DistributionPointsContentEncoding::DEFLATE, } p api_instance.submit_distribution_points(body, opts) ``` ##### ```ruby # Submit distribution points returns "Payload accepted" response require "datadog_api_client" api_instance = DatadogAPIClient::V1::MetricsAPI.new body = DatadogAPIClient::V1::DistributionPointsPayload.new({ series: [ DatadogAPIClient::V1::DistributionPointsSeries.new({ metric: "system.load.1.dist", points: [ [ Time.now, [ 1.0, 2.0, ], ], ], }), ], }) p api_instance.submit_distribution_points(body) ``` #### 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_API_KEY="" rb "example.rb" ##### ```rust // Submit deflate distribution points returns "Payload accepted" response use datadog_api_client::datadog; use datadog_api_client::datadogV1::api_metrics::MetricsAPI; use datadog_api_client::datadogV1::api_metrics::SubmitDistributionPointsOptionalParams; use datadog_api_client::datadogV1::model::DistributionPointItem; use datadog_api_client::datadogV1::model::DistributionPointsContentEncoding; use datadog_api_client::datadogV1::model::DistributionPointsPayload; use datadog_api_client::datadogV1::model::DistributionPointsSeries; #[tokio::main] async fn main() { let body = DistributionPointsPayload::new(vec![DistributionPointsSeries::new( "system.load.1.dist".to_string(), vec![vec![ DistributionPointItem::DistributionPointTimestamp(1636629071.0 as f64), DistributionPointItem::DistributionPointData(vec![1.0, 2.0]), ]], )]); let configuration = datadog::Configuration::new(); let api = MetricsAPI::with_config(configuration); let resp = api .submit_distribution_points( body, SubmitDistributionPointsOptionalParams::default() .content_encoding(DistributionPointsContentEncoding::DEFLATE), ) .await; if let Ok(value) = resp { println!("{:#?}", value); } else { println!("{:#?}", resp.unwrap_err()); } } ``` ##### ```rust // Submit distribution points returns "Payload accepted" response use datadog_api_client::datadog; use datadog_api_client::datadogV1::api_metrics::MetricsAPI; use datadog_api_client::datadogV1::api_metrics::SubmitDistributionPointsOptionalParams; use datadog_api_client::datadogV1::model::DistributionPointItem; use datadog_api_client::datadogV1::model::DistributionPointsPayload; use datadog_api_client::datadogV1::model::DistributionPointsSeries; #[tokio::main] async fn main() { let body = DistributionPointsPayload::new(vec![DistributionPointsSeries::new( "system.load.1.dist".to_string(), vec![vec![ DistributionPointItem::DistributionPointTimestamp(1636629071.0 as f64), DistributionPointItem::DistributionPointData(vec![1.0, 2.0]), ]], )]); let configuration = datadog::Configuration::new(); let api = MetricsAPI::with_config(configuration); let resp = api .submit_distribution_points(body, SubmitDistributionPointsOptionalParams::default()) .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="" cargo run ##### ```typescript /** * Submit deflate distribution points returns "Payload accepted" response */ import { client, v1 } from "@datadog/datadog-api-client"; const configuration = client.createConfiguration(); const apiInstance = new v1.MetricsApi(configuration); const params: v1.MetricsApiSubmitDistributionPointsRequest = { body: { series: [ { metric: "system.load.1.dist", points: [[Math.round(new Date().getTime() / 1000), [1.0, 2.0]]], }, ], }, contentEncoding: "deflate", }; apiInstance .submitDistributionPoints(params) .then((data: v1.IntakePayloadAccepted) => { console.log( "API called successfully. Returned data: " + JSON.stringify(data) ); }) .catch((error: any) => console.error(error)); ``` ##### ```typescript /** * Submit distribution points returns "Payload accepted" response */ import { client, v1 } from "@datadog/datadog-api-client"; const configuration = client.createConfiguration(); const apiInstance = new v1.MetricsApi(configuration); const params: v1.MetricsApiSubmitDistributionPointsRequest = { body: { series: [ { metric: "system.load.1.dist", points: [[Math.round(new Date().getTime() / 1000), [1.0, 2.0]]], }, ], }, }; apiInstance .submitDistributionPoints(params) .then((data: v1.IntakePayloadAccepted) => { console.log( "API called successfully. Returned data: " + JSON.stringify(data) ); }) .catch((error: any) => console.error(error)); ``` #### Instructions First [install the library and its dependencies](https://docs.datadoghq.com/api/latest.md?code-lang=typescript) and then save the example to `example.ts` and run following commands: DD_SITE="datadoghq.com" DD_API_KEY="" tsc "example.ts" {% /tab %}