---
title: Add resource to Confluent account
description: Datadog, the leading service for cloud-scale monitoring.
breadcrumbs: Docs > API Reference > Confluent Cloud
---

# Add resource to Confluent account{% #add-resource-to-confluent-account %}
Copy pageCopied
{% tab title="v2" %}

| Datadog site      | API endpoint                                                                                           |
| ----------------- | ------------------------------------------------------------------------------------------------------ |
| ap1.datadoghq.com | POST https://api.ap1.datadoghq.com/api/v2/integrations/confluent-cloud/accounts/{account_id}/resources |
| ap2.datadoghq.com | POST https://api.ap2.datadoghq.com/api/v2/integrations/confluent-cloud/accounts/{account_id}/resources |
| app.datadoghq.eu  | POST https://api.datadoghq.eu/api/v2/integrations/confluent-cloud/accounts/{account_id}/resources      |
| app.ddog-gov.com  | POST https://api.ddog-gov.com/api/v2/integrations/confluent-cloud/accounts/{account_id}/resources      |
| us2.ddog-gov.com  | POST https://api.us2.ddog-gov.com/api/v2/integrations/confluent-cloud/accounts/{account_id}/resources  |
| app.datadoghq.com | POST https://api.datadoghq.com/api/v2/integrations/confluent-cloud/accounts/{account_id}/resources     |
| us3.datadoghq.com | POST https://api.us3.datadoghq.com/api/v2/integrations/confluent-cloud/accounts/{account_id}/resources |
| us5.datadoghq.com | POST https://api.us5.datadoghq.com/api/v2/integrations/confluent-cloud/accounts/{account_id}/resources |

### Overview

Create a Confluent resource for the account associated with the provided ID. This endpoint requires the `manage_integrations` permission.

### Arguments

#### Path Parameters

| Name                         | Type   | Description           |
| ---------------------------- | ------ | --------------------- |
| account_id [*required*] | string | Confluent Account ID. |

### Request

#### Body Data (required)

Confluent payload

{% tab title="Model" %}

| Parent field | Field                           | Type     | Description                                                                                        |
| ------------ | ------------------------------- | -------- | -------------------------------------------------------------------------------------------------- |
|              | data [*required*]          | object   | JSON:API request for updating a Confluent resource.                                                |
| data         | attributes [*required*]    | object   | Attributes object for updating a Confluent resource.                                               |
| attributes   | enable_custom_metrics           | boolean  | Enable the `custom.consumer_lag_offset` metric, which contains extra metric tags.                  |
| attributes   | resource_type [*required*] | string   | The resource type of the Resource. Can be `kafka`, `connector`, `ksql`, or `schema_registry`.      |
| attributes   | tags                            | [string] | A list of strings representing tags. Can be a single key, or key-value pairs separated by a colon. |
| data         | id [*required*]            | string   | The ID associated with a Confluent resource.                                                       |
| data         | type [*required*]          | enum     | The JSON:API type for this request. Allowed enum values: `confluent-cloud-resources`               |

{% /tab %}

{% tab title="Example" %}

```json
{
  "data": {
    "attributes": {
      "resource_type": "kafka",
      "tags": [
        "myTag",
        "myTag2:myValue"
      ],
      "enable_custom_metrics": false
    },
    "id": "exampleconfluentcloud",
    "type": "confluent-cloud-resources"
  }
}
```

{% /tab %}

### Response

{% tab title="201" %}
OK
{% tab title="Model" %}
Response schema when interacting with a Confluent resource.

| Parent field | Field                           | Type     | Description                                                                                        |
| ------------ | ------------------------------- | -------- | -------------------------------------------------------------------------------------------------- |
|              | data                            | object   | Confluent Cloud resource data.                                                                     |
| data         | attributes [*required*]    | object   | Model representation of a Confluent Cloud resource.                                                |
| attributes   | enable_custom_metrics           | boolean  | Enable the `custom.consumer_lag_offset` metric, which contains extra metric tags.                  |
| attributes   | id                              | string   | The ID associated with the Confluent resource.                                                     |
| attributes   | resource_type [*required*] | string   | The resource type of the Resource. Can be `kafka`, `connector`, `ksql`, or `schema_registry`.      |
| attributes   | tags                            | [string] | A list of strings representing tags. Can be a single key, or key-value pairs separated by a colon. |
| data         | id [*required*]            | string   | The ID associated with the Confluent resource.                                                     |
| data         | type [*required*]          | enum     | The JSON:API type for this request. Allowed enum values: `confluent-cloud-resources`               |

{% /tab %}

{% tab title="Example" %}

```json
{
  "data": {
    "attributes": {
      "enable_custom_metrics": false,
      "id": "resource_id_abc123",
      "resource_type": "kafka",
      "tags": [
        "myTag",
        "myTag2:myValue"
      ]
    },
    "id": "resource_id_abc123",
    "type": "confluent-cloud-resources"
  }
}
```

{% /tab %}

{% /tab %}

{% tab title="400" %}
Bad Request
{% 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 %}

{% tab title="403" %}
Forbidden
{% 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 %}

{% tab title="404" %}
Not Found
{% 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 %}

{% 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
# 
 \# Path parameters export account_id="CHANGE_ME" \# Curl command curl -X POST "https://api.datadoghq.com/api/v2/integrations/confluent-cloud/accounts/${account_id}/resources" \
-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": {
      "enable_custom_metrics": false,
      "resource_type": "kafka",
      "tags": [
        "myTag",
        "myTag2:myValue"
      ]
    },
    "id": "resource-id-123",
    "type": "confluent-cloud-resources"
  }
}
EOF 
                        
##### 

```go
// Add resource to Confluent account 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"
)

func main() {
	// there is a valid "confluent_account" in the system
	ConfluentAccountDataID := os.Getenv("CONFLUENT_ACCOUNT_DATA_ID")

	body := datadogV2.ConfluentResourceRequest{
		Data: datadogV2.ConfluentResourceRequestData{
			Attributes: datadogV2.ConfluentResourceRequestAttributes{
				ResourceType: "kafka",
				Tags: []string{
					"myTag",
					"myTag2:myValue",
				},
				EnableCustomMetrics: datadog.PtrBool(false),
			},
			Id:   "exampleconfluentcloud",
			Type: datadogV2.CONFLUENTRESOURCETYPE_CONFLUENT_CLOUD_RESOURCES,
		},
	}
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV2.NewConfluentCloudApi(apiClient)
	resp, r, err := api.CreateConfluentResource(ctx, ConfluentAccountDataID, body)

	if err != nil {
		fmt.Fprintf(os.Stderr, "Error when calling `ConfluentCloudApi.CreateConfluentResource`: %v\n", err)
		fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
	}

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `ConfluentCloudApi.CreateConfluentResource`:\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="<API-KEY>" DD_APP_KEY="<APP-KEY>" go run "main.go"
##### 

```java
// Add resource to Confluent account returns "OK" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.ConfluentCloudApi;
import com.datadog.api.client.v2.model.ConfluentResourceRequest;
import com.datadog.api.client.v2.model.ConfluentResourceRequestAttributes;
import com.datadog.api.client.v2.model.ConfluentResourceRequestData;
import com.datadog.api.client.v2.model.ConfluentResourceResponse;
import com.datadog.api.client.v2.model.ConfluentResourceType;
import java.util.Arrays;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    ConfluentCloudApi apiInstance = new ConfluentCloudApi(defaultClient);

    // there is a valid "confluent_account" in the system
    String CONFLUENT_ACCOUNT_DATA_ID = System.getenv("CONFLUENT_ACCOUNT_DATA_ID");

    ConfluentResourceRequest body =
        new ConfluentResourceRequest()
            .data(
                new ConfluentResourceRequestData()
                    .attributes(
                        new ConfluentResourceRequestAttributes()
                            .resourceType("kafka")
                            .tags(Arrays.asList("myTag", "myTag2:myValue"))
                            .enableCustomMetrics(false))
                    .id("exampleconfluentcloud")
                    .type(ConfluentResourceType.CONFLUENT_CLOUD_RESOURCES));

    try {
      ConfluentResourceResponse result =
          apiInstance.createConfluentResource(CONFLUENT_ACCOUNT_DATA_ID, body);
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling ConfluentCloudApi#createConfluentResource");
      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="<API-KEY>" DD_APP_KEY="<APP-KEY>" java "Example.java"
##### 

```python
"""
Add resource to Confluent account returns "OK" response
"""

from os import environ
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.confluent_cloud_api import ConfluentCloudApi
from datadog_api_client.v2.model.confluent_resource_request import ConfluentResourceRequest
from datadog_api_client.v2.model.confluent_resource_request_attributes import ConfluentResourceRequestAttributes
from datadog_api_client.v2.model.confluent_resource_request_data import ConfluentResourceRequestData
from datadog_api_client.v2.model.confluent_resource_type import ConfluentResourceType

# there is a valid "confluent_account" in the system
CONFLUENT_ACCOUNT_DATA_ID = environ["CONFLUENT_ACCOUNT_DATA_ID"]

body = ConfluentResourceRequest(
    data=ConfluentResourceRequestData(
        attributes=ConfluentResourceRequestAttributes(
            resource_type="kafka",
            tags=[
                "myTag",
                "myTag2:myValue",
            ],
            enable_custom_metrics=False,
        ),
        id="exampleconfluentcloud",
        type=ConfluentResourceType.CONFLUENT_CLOUD_RESOURCES,
    ),
)

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = ConfluentCloudApi(api_client)
    response = api_instance.create_confluent_resource(account_id=CONFLUENT_ACCOUNT_DATA_ID, 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="<API-KEY>" DD_APP_KEY="<APP-KEY>" python3 "example.py"
##### 

```ruby
# Add resource to Confluent account returns "OK" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V2::ConfluentCloudAPI.new

# there is a valid "confluent_account" in the system
CONFLUENT_ACCOUNT_DATA_ID = ENV["CONFLUENT_ACCOUNT_DATA_ID"]

body = DatadogAPIClient::V2::ConfluentResourceRequest.new({
  data: DatadogAPIClient::V2::ConfluentResourceRequestData.new({
    attributes: DatadogAPIClient::V2::ConfluentResourceRequestAttributes.new({
      resource_type: "kafka",
      tags: [
        "myTag",
        "myTag2:myValue",
      ],
      enable_custom_metrics: false,
    }),
    id: "exampleconfluentcloud",
    type: DatadogAPIClient::V2::ConfluentResourceType::CONFLUENT_CLOUD_RESOURCES,
  }),
})
p api_instance.create_confluent_resource(CONFLUENT_ACCOUNT_DATA_ID, 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="<API-KEY>" DD_APP_KEY="<APP-KEY>" rb "example.rb"
##### 

```rust
// Add resource to Confluent account returns "OK" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_confluent_cloud::ConfluentCloudAPI;
use datadog_api_client::datadogV2::model::ConfluentResourceRequest;
use datadog_api_client::datadogV2::model::ConfluentResourceRequestAttributes;
use datadog_api_client::datadogV2::model::ConfluentResourceRequestData;
use datadog_api_client::datadogV2::model::ConfluentResourceType;

#[tokio::main]
async fn main() {
    // there is a valid "confluent_account" in the system
    let confluent_account_data_id = std::env::var("CONFLUENT_ACCOUNT_DATA_ID").unwrap();
    let body = ConfluentResourceRequest::new(ConfluentResourceRequestData::new(
        ConfluentResourceRequestAttributes::new("kafka".to_string())
            .enable_custom_metrics(false)
            .tags(vec!["myTag".to_string(), "myTag2:myValue".to_string()]),
        "exampleconfluentcloud".to_string(),
        ConfluentResourceType::CONFLUENT_CLOUD_RESOURCES,
    ));
    let configuration = datadog::Configuration::new();
    let api = ConfluentCloudAPI::with_config(configuration);
    let resp = api
        .create_confluent_resource(confluent_account_data_id.clone(), 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="<API-KEY>" DD_APP_KEY="<APP-KEY>" cargo run
##### 

```typescript
/**
 * Add resource to Confluent account returns "OK" response
 */

import { client, v2 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v2.ConfluentCloudApi(configuration);

// there is a valid "confluent_account" in the system
const CONFLUENT_ACCOUNT_DATA_ID = process.env
  .CONFLUENT_ACCOUNT_DATA_ID as string;

const params: v2.ConfluentCloudApiCreateConfluentResourceRequest = {
  body: {
    data: {
      attributes: {
        resourceType: "kafka",
        tags: ["myTag", "myTag2:myValue"],
        enableCustomMetrics: false,
      },
      id: "exampleconfluentcloud",
      type: "confluent-cloud-resources",
    },
  },
  accountId: CONFLUENT_ACCOUNT_DATA_ID,
};

apiInstance
  .createConfluentResource(params)
  .then((data: v2.ConfluentResourceResponse) => {
    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="<API-KEY>" DD_APP_KEY="<APP-KEY>" tsc "example.ts"
{% /tab %}