--- title: Query accounts description: Datadog, the leading service for cloud-scale monitoring. breadcrumbs: Docs > API Reference > Rum Audience Management --- # Query accounts{% #query-accounts %} Copy pageCopied {% tab title="v2" %} **Note**: This endpoint may be subject to changes. | Datadog site | API endpoint | | ----------------- | -------------------------------------------------------------------------- | | ap1.datadoghq.com | POST https://api.ap1.datadoghq.com/api/v2/product-analytics/accounts/query | | ap2.datadoghq.com | POST https://api.ap2.datadoghq.com/api/v2/product-analytics/accounts/query | | app.datadoghq.eu | POST https://api.datadoghq.eu/api/v2/product-analytics/accounts/query | | app.ddog-gov.com | POST https://api.ddog-gov.com/api/v2/product-analytics/accounts/query | | us2.ddog-gov.com | POST https://api.us2.ddog-gov.com/api/v2/product-analytics/accounts/query | | app.datadoghq.com | POST https://api.datadoghq.com/api/v2/product-analytics/accounts/query | | us3.datadoghq.com | POST https://api.us3.datadoghq.com/api/v2/product-analytics/accounts/query | | us5.datadoghq.com | POST https://api.us5.datadoghq.com/api/v2/product-analytics/accounts/query | ### Overview Query accounts with flexible filtering by account properties ### Request #### Body Data (required) {% tab title="Model" %} | Parent field | Field | Type | Description | | ------------ | ---------------------- | -------- | ------------------------------------------------------------------------------------ | | | data | object | The data object containing the resource type and attributes for querying accounts. | | data | attributes | object | Attributes for filtering and shaping the account query results. | | attributes | limit | int64 | Maximum number of account records to return in the response. | | attributes | query | string | Filter expression using account attribute conditions to narrow results. | | attributes | select_columns | [string] | List of account attribute column names to include in the response. | | attributes | sort | object | Sorting configuration specifying the field and direction for ordering query results. | | sort | field | string | The attribute field name to sort results by. | | sort | order | string | The sort direction, either ascending or descending. | | attributes | wildcard_search_term | string | Free-text term used for wildcard search across account attribute values. | | data | id | string | Unique identifier for the query account request resource. | | data | type [*required*] | enum | Query account request resource type. Allowed enum values: `query_account_request` | {% /tab %} {% tab title="Example" %} ```json { "data": { "attributes": { "limit": "integer", "query": "string", "select_columns": [], "sort": { "field": "string", "order": "string" }, "wildcard_search_term": "string" }, "id": "string", "type": "query_account_request" } } ``` {% /tab %} ### Response {% tab title="200" %} Successful response with account data {% tab title="Model" %} Response containing the query results with matched records and total count. | Parent field | Field | Type | Description | | ------------ | ---------------------- | ------ | ----------------------------------------------------------------------------------------------- | | | data | object | The data object containing the resource type and attributes of the query response. | | data | attributes | object | Attributes of the query response, containing the matched records and total count. | | attributes | hits | [] | The list of matching records returned by the query, each as a map of attribute names to values. | | attributes | total | int64 | Total number of records matching the query, regardless of the limit applied. | | data | id | string | Unique identifier for the query response resource. | | data | type [*required*] | enum | Query response resource type. Allowed enum values: `query_response` | {% /tab %} {% tab title="Example" %} ```json { "data": { "attributes": { "hits": [ { "first_browser_name": "Chrome", "first_city": "San Francisco", "first_country_code": "US", "first_device_type": "Desktop", "last_seen": "2025-08-14T06:45:12.142Z", "session_count": 47, "user_created": "2024-12-15T08:42:33.287Z", "user_email": "john.smith@techcorp.com", "user_id": "150847", "user_name": "John Smith", "user_org_id": "5001" }, { "first_browser_name": "Chrome", "first_city": "Austin", "first_country_code": "US", "first_device_type": "Desktop", "last_seen": "2025-08-14T05:22:08.951Z", "session_count": 89, "user_created": "2024-11-28T14:17:45.634Z", "user_email": "john.williams@techcorp.com", "user_id": "150848", "user_name": "John Williams", "user_org_id": "5001" }, { "first_browser_name": "Chrome", "first_city": "Seattle", "first_country_code": "US", "first_device_type": "Desktop", "last_seen": "2025-08-14T04:18:34.726Z", "session_count": 23, "user_created": "2025-01-03T16:33:21.445Z", "user_email": "john.jones@techcorp.com", "user_id": "150849", "user_name": "John Jones", "user_org_id": "5001" } ], "total": 147 }, "id": "query_response", "type": "query_response" } } ``` {% /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 ##### \## default # \# Curl command curl -X POST "https://api.datadoghq.com/api/v2/product-analytics/accounts/query" \ -H "Accept: application/json" \ -H "Content-Type: application/json" \ -H "DD-API-KEY: ${DD_API_KEY}" \ -H "DD-APPLICATION-KEY: ${DD_APP_KEY}" \ -d @- << EOF { "data": { "attributes": { "limit": 20, "query": "plan_type:enterprise AND user_count:\u003e100 AND subscription_status:active", "select_columns": [ "account_id", "account_name", "user_count", "plan_type", "subscription_status", "created_at", "mrr", "industry" ], "sort": { "field": "user_count", "order": "DESC" }, "wildcard_search_term": "tech" }, "id": "query_account_request", "type": "query_account_request" } } EOF ##### ```python """ Query accounts returns "Successful response with account data" response """ from datadog_api_client import ApiClient, Configuration from datadog_api_client.v2.api.rum_audience_management_api import RumAudienceManagementApi from datadog_api_client.v2.model.query_account_request import QueryAccountRequest from datadog_api_client.v2.model.query_account_request_data import QueryAccountRequestData from datadog_api_client.v2.model.query_account_request_data_attributes import QueryAccountRequestDataAttributes from datadog_api_client.v2.model.query_account_request_data_attributes_sort import QueryAccountRequestDataAttributesSort from datadog_api_client.v2.model.query_account_request_data_type import QueryAccountRequestDataType body = QueryAccountRequest( data=QueryAccountRequestData( attributes=QueryAccountRequestDataAttributes( limit=20, query="plan_type:enterprise AND user_count:>100 AND subscription_status:active", select_columns=[ "account_id", "account_name", "user_count", "plan_type", "subscription_status", "created_at", "mrr", "industry", ], sort=QueryAccountRequestDataAttributesSort( field="user_count", order="DESC", ), wildcard_search_term="tech", ), id="query_account_request", type=QueryAccountRequestDataType.QUERY_ACCOUNT_REQUEST, ), ) configuration = Configuration() configuration.unstable_operations["query_accounts"] = True with ApiClient(configuration) as api_client: api_instance = RumAudienceManagementApi(api_client) response = api_instance.query_accounts(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="" DD_APP_KEY="" python3 "example.py" ##### ```ruby # Query accounts returns "Successful response with account data" response require "datadog_api_client" DatadogAPIClient.configure do |config| config.unstable_operations["v2.query_accounts".to_sym] = true end api_instance = DatadogAPIClient::V2::RumAudienceManagementAPI.new body = DatadogAPIClient::V2::QueryAccountRequest.new({ data: DatadogAPIClient::V2::QueryAccountRequestData.new({ attributes: DatadogAPIClient::V2::QueryAccountRequestDataAttributes.new({ limit: 20, query: "plan_type:enterprise AND user_count:>100 AND subscription_status:active", select_columns: [ "account_id", "account_name", "user_count", "plan_type", "subscription_status", "created_at", "mrr", "industry", ], sort: DatadogAPIClient::V2::QueryAccountRequestDataAttributesSort.new({ field: "user_count", order: "DESC", }), wildcard_search_term: "tech", }), id: "query_account_request", type: DatadogAPIClient::V2::QueryAccountRequestDataType::QUERY_ACCOUNT_REQUEST, }), }) p api_instance.query_accounts(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="" DD_APP_KEY="" rb "example.rb" ##### ```go // Query accounts returns "Successful response with account data" 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" ) func main() { body := datadogV2.QueryAccountRequest{ Data: &datadogV2.QueryAccountRequestData{ Attributes: &datadogV2.QueryAccountRequestDataAttributes{ Limit: datadog.PtrInt64(20), Query: datadog.PtrString("plan_type:enterprise AND user_count:>100 AND subscription_status:active"), SelectColumns: []string{ "account_id", "account_name", "user_count", "plan_type", "subscription_status", "created_at", "mrr", "industry", }, Sort: &datadogV2.QueryAccountRequestDataAttributesSort{ Field: datadog.PtrString("user_count"), Order: datadog.PtrString("DESC"), }, WildcardSearchTerm: datadog.PtrString("tech"), }, Id: datadog.PtrString("query_account_request"), Type: datadogV2.QUERYACCOUNTREQUESTDATATYPE_QUERY_ACCOUNT_REQUEST, }, } ctx := datadog.NewDefaultContext(context.Background()) configuration := datadog.NewConfiguration() configuration.SetUnstableOperationEnabled("v2.QueryAccounts", true) apiClient := datadog.NewAPIClient(configuration) api := datadogV2.NewRumAudienceManagementApi(apiClient) resp, r, err := api.QueryAccounts(ctx, body) if err != nil { fmt.Fprintf(os.Stderr, "Error when calling `RumAudienceManagementApi.QueryAccounts`: %v\n", err) fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r) } responseContent, _ := json.MarshalIndent(resp, "", " ") fmt.Fprintf(os.Stdout, "Response from `RumAudienceManagementApi.QueryAccounts`:\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 accounts returns "Successful response with account data" response import com.datadog.api.client.ApiClient; import com.datadog.api.client.ApiException; import com.datadog.api.client.v2.api.RumAudienceManagementApi; import com.datadog.api.client.v2.model.QueryAccountRequest; import com.datadog.api.client.v2.model.QueryAccountRequestData; import com.datadog.api.client.v2.model.QueryAccountRequestDataAttributes; import com.datadog.api.client.v2.model.QueryAccountRequestDataAttributesSort; import com.datadog.api.client.v2.model.QueryAccountRequestDataType; import com.datadog.api.client.v2.model.QueryResponse; import java.util.Arrays; public class Example { public static void main(String[] args) { ApiClient defaultClient = ApiClient.getDefaultApiClient(); defaultClient.setUnstableOperationEnabled("v2.queryAccounts", true); RumAudienceManagementApi apiInstance = new RumAudienceManagementApi(defaultClient); QueryAccountRequest body = new QueryAccountRequest() .data( new QueryAccountRequestData() .attributes( new QueryAccountRequestDataAttributes() .limit(20L) .query( "plan_type:enterprise AND user_count:>100 AND" + " subscription_status:active") .selectColumns( Arrays.asList( "account_id", "account_name", "user_count", "plan_type", "subscription_status", "created_at", "mrr", "industry")) .sort( new QueryAccountRequestDataAttributesSort() .field("user_count") .order("DESC")) .wildcardSearchTerm("tech")) .id("query_account_request") .type(QueryAccountRequestDataType.QUERY_ACCOUNT_REQUEST)); try { QueryResponse result = apiInstance.queryAccounts(body); System.out.println(result); } catch (ApiException e) { System.err.println("Exception when calling RumAudienceManagementApi#queryAccounts"); 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" ##### ```rust // Query accounts returns "Successful response with account data" response use datadog_api_client::datadog; use datadog_api_client::datadogV2::api_rum_audience_management::RumAudienceManagementAPI; use datadog_api_client::datadogV2::model::QueryAccountRequest; use datadog_api_client::datadogV2::model::QueryAccountRequestData; use datadog_api_client::datadogV2::model::QueryAccountRequestDataAttributes; use datadog_api_client::datadogV2::model::QueryAccountRequestDataAttributesSort; use datadog_api_client::datadogV2::model::QueryAccountRequestDataType; #[tokio::main] async fn main() { let body = QueryAccountRequest::new().data( QueryAccountRequestData::new(QueryAccountRequestDataType::QUERY_ACCOUNT_REQUEST) .attributes( QueryAccountRequestDataAttributes::new() .limit(20) .query( "plan_type:enterprise AND user_count:>100 AND subscription_status:active" .to_string(), ) .select_columns(vec![ "account_id".to_string(), "account_name".to_string(), "user_count".to_string(), "plan_type".to_string(), "subscription_status".to_string(), "created_at".to_string(), "mrr".to_string(), "industry".to_string(), ]) .sort( QueryAccountRequestDataAttributesSort::new() .field("user_count".to_string()) .order("DESC".to_string()), ) .wildcard_search_term("tech".to_string()), ) .id("query_account_request".to_string()), ); let mut configuration = datadog::Configuration::new(); configuration.set_unstable_operation_enabled("v2.QueryAccounts", true); let api = RumAudienceManagementAPI::with_config(configuration); let resp = api.query_accounts(body).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 accounts returns "Successful response with account data" response */ import { client, v2 } from "@datadog/datadog-api-client"; const configuration = client.createConfiguration(); configuration.unstableOperations["v2.queryAccounts"] = true; const apiInstance = new v2.RumAudienceManagementApi(configuration); const params: v2.RumAudienceManagementApiQueryAccountsRequest = { body: { data: { attributes: { limit: 20, query: "plan_type:enterprise AND user_count:>100 AND subscription_status:active", selectColumns: [ "account_id", "account_name", "user_count", "plan_type", "subscription_status", "created_at", "mrr", "industry", ], sort: { field: "user_count", order: "DESC", }, wildcardSearchTerm: "tech", }, id: "query_account_request", type: "query_account_request", }, }, }; apiInstance .queryAccounts(params) .then((data: v2.QueryResponse) => { 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 %}