--- title: Query timeseries points description: Datadog, the leading service for cloud-scale monitoring. breadcrumbs: Docs > API Reference > Metrics --- # Query timeseries points{% #query-timeseries-points %} {% tab title="v1" %} | Datadog site | API endpoint | | ----------------- | ---------------------------------------------- | | ap1.datadoghq.com | GET https://api.ap1.datadoghq.com/api/v1/query | | ap2.datadoghq.com | GET https://api.ap2.datadoghq.com/api/v1/query | | app.datadoghq.eu | GET https://api.datadoghq.eu/api/v1/query | | app.ddog-gov.com | GET https://api.ddog-gov.com/api/v1/query | | us2.ddog-gov.com | GET https://api.us2.ddog-gov.com/api/v1/query | | app.datadoghq.com | GET https://api.datadoghq.com/api/v1/query | | us3.datadoghq.com | GET https://api.us3.datadoghq.com/api/v1/query | | us5.datadoghq.com | GET https://api.us5.datadoghq.com/api/v1/query | ### Overview Query timeseries points. This endpoint requires the `timeseries_query` permission. OAuth apps require the `timeseries_query` authorization [scope](https://docs.datadoghq.com/api/latest/scopes.md#metrics) to access this endpoint. ### Arguments #### Query Strings | Name | Type | Description | | ----------------------- | ------- | --------------------------------------------------------------- | | from [*required*] | integer | Start of the queried time period, seconds since the Unix epoch. | | to [*required*] | integer | End of the queried time period, seconds since the Unix epoch. | | query [*required*] | string | Query string. | ### Response {% tab title="200" %} OK {% tab title="Model" %} Response Object that includes your query and the list of metrics retrieved. | Parent field | Field | Type | Description | | ------------ | ------------ | -------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | | error | string | Message indicating the errors if status is not `ok`. | | | from_date | int64 | Start of requested time window, milliseconds since Unix epoch. | | | group_by | [string] | List of tag keys on which to group. | | | message | string | Message indicating `success` if status is `ok`. | | | query | string | Query string | | | res_type | string | Type of response. | | | series | [object] | List of timeseries queried. | | series | aggr | string | Aggregation type. | | series | display_name | string | Display name of the metric. | | series | end | int64 | End of the time window, milliseconds since Unix epoch. | | series | expression | string | Metric expression. | | series | interval | int64 | Number of milliseconds between data samples. | | series | length | int64 | Number of data samples. | | series | metric | string | Metric name. | | series | pointlist | [array] | List of points of the timeseries in milliseconds. | | series | query_index | int64 | The index of the series' query within the request. | | series | scope | string | Metric scope, comma separated list of tags. | | series | start | int64 | Start of the time window, milliseconds since Unix epoch. | | series | tag_set | [string] | Unique tags identifying this series. | | series | unit | [object] | Detailed information about the metric unit. The first element describes the "primary unit" (for example, `bytes` in `bytes per second`). The second element describes the "per unit" (for example, `second` in `bytes per second`). If the second element is not present, the API returns null. | | unit | family | string | Unit family, allows for conversion between units of the same family, for scaling. | | unit | name | string | Unit name | | unit | plural | string | Plural form of the unit name. | | unit | scale_factor | double | Factor for scaling between units of the same family. | | unit | short_name | string | Abbreviation of the unit. | | | status | string | Status of the query. | | | to_date | int64 | End of requested time window, milliseconds since Unix epoch. | {% /tab %} {% tab title="Example" %} ```json { "error": "string", "from_date": "integer", "group_by": [], "message": "string", "query": "string", "res_type": "time_series", "series": [ { "aggr": "avg", "display_name": "system.cpu.idle", "end": "integer", "expression": "system.cpu.idle{host:foo,env:test}", "interval": "integer", "length": "integer", "metric": "system.cpu.idle", "pointlist": [ [ 1681683300000, 77.62145685254418 ] ], "query_index": "integer", "scope": "host:foo,env:test", "start": "integer", "tag_set": [], "unit": [ { "family": "time", "name": "minute", "plural": "minutes", "scale_factor": 60, "short_name": "min" } ] } ], "status": "ok", "to_date": "integer" } ``` {% /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" %} Forbidden {% 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 ##### \# Required query arguments export from="CHANGE_ME" export to="CHANGE_ME" export query="CHANGE_ME" \# Curl command curl -X GET "https://api.datadoghq.com/api/v1/query?from=${from}&to=${to}&query=${query}" \ -H "Accept: application/json" \ -H "DD-API-KEY: ${DD_API_KEY}" \ -H "DD-APPLICATION-KEY: ${DD_APP_KEY}" ##### ```python """ Query timeseries points returns "OK" response """ from datetime import datetime from dateutil.relativedelta import relativedelta from datadog_api_client import ApiClient, Configuration from datadog_api_client.v1.api.metrics_api import MetricsApi configuration = Configuration() with ApiClient(configuration) as api_client: api_instance = MetricsApi(api_client) response = api_instance.query_metrics( _from=int((datetime.now() + relativedelta(days=-1)).timestamp()), to=int(datetime.now().timestamp()), query="system.cpu.idle{*}", ) 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="" DD_APP_KEY="" python3 "example.py" ##### ```ruby # Query timeseries points returns "OK" response require "datadog_api_client" api_instance = DatadogAPIClient::V1::MetricsAPI.new p api_instance.query_metrics((Time.now + -1 * 86400).to_i, Time.now.to_i, "system.cpu.idle{*}") ``` #### 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="" DD_APP_KEY="" rb "example.rb" ##### ```ruby require 'rubygems' require 'dogapi' api_key = '' app_key = '' dog = Dogapi::Client.new(api_key, app_key) # Get points from the last hour from = Time.now - 3600 to = Time.now query = 'system.cpu.idle{*}by{host}' dog.get_points(query, from, to) ``` #### Instructions First [install the library and its dependencies](https://docs.datadoghq.com/api/latest.md?code-lang=ruby-legacy) and then save the example to `example.rb` and run following commands: DD_SITE="datadoghq.com" DD_API_KEY="" DD_APP_KEY="" rb "example.rb" ##### ```go // Query timeseries points returns "OK" 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() { ctx := datadog.NewDefaultContext(context.Background()) configuration := datadog.NewConfiguration() apiClient := datadog.NewAPIClient(configuration) api := datadogV1.NewMetricsApi(apiClient) resp, r, err := api.QueryMetrics(ctx, time.Now().AddDate(0, 0, -1).Unix(), time.Now().Unix(), "system.cpu.idle{*}") if err != nil { fmt.Fprintf(os.Stderr, "Error when calling `MetricsApi.QueryMetrics`: %v\n", err) fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r) } responseContent, _ := json.MarshalIndent(resp, "", " ") fmt.Fprintf(os.Stdout, "Response from `MetricsApi.QueryMetrics`:\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="" DD_APP_KEY="" go run "main.go" ##### ```java // Query timeseries points returns "OK" 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.MetricsQueryResponse; import java.time.OffsetDateTime; public class Example { public static void main(String[] args) { ApiClient defaultClient = ApiClient.getDefaultApiClient(); MetricsApi apiInstance = new MetricsApi(defaultClient); try { MetricsQueryResponse result = apiInstance.queryMetrics( OffsetDateTime.now().plusDays(-1).toInstant().getEpochSecond(), OffsetDateTime.now().toInstant().getEpochSecond(), "system.cpu.idle{*}"); System.out.println(result); } catch (ApiException e) { System.err.println("Exception when calling MetricsApi#queryMetrics"); 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="" DD_APP_KEY="" java "Example.java" ##### ```python from datadog import initialize, api import time options = { 'api_key': '', 'app_key': '' } initialize(**options) now = int(time.time()) query = 'system.cpu.idle{*}by{host}' print(api.Metric.query(start=now - 3600, end=now, query=query)) ``` #### Instructions First [install the library and its dependencies](https://docs.datadoghq.com/api/latest.md?code-lang=python-legacy) and then save the example to `example.py` and run following commands: DD_SITE="datadoghq.com" DD_API_KEY="" DD_APP_KEY="" python "example.py" ##### ```rust // Query timeseries points returns "OK" response use datadog_api_client::datadog; use datadog_api_client::datadogV1::api_metrics::MetricsAPI; #[tokio::main] async fn main() { let configuration = datadog::Configuration::new(); let api = MetricsAPI::with_config(configuration); let resp = api .query_metrics(1636542671, 1636629071, "system.cpu.idle{*}".to_string()) .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 ##### ```typescript /** * Query timeseries points returns "OK" response */ import { client, v1 } from "@datadog/datadog-api-client"; const configuration = client.createConfiguration(); const apiInstance = new v1.MetricsApi(configuration); const params: v1.MetricsApiQueryMetricsRequest = { from: Math.round( new Date(new Date().getTime() + -1 * 86400 * 1000).getTime() / 1000 ), to: Math.round(new Date().getTime() / 1000), query: "system.cpu.idle{*}", }; apiInstance .queryMetrics(params) .then((data: v1.MetricsQueryResponse) => { 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="" DD_APP_KEY="" tsc "example.ts" {% /tab %}