# Team Analytics

Acquire live chat dashboard gives your team leader an overview of agent activity at any given time. Your agents all chat data reports get and view in this API and you see data on multiple parameter like this: Today, Yesterday, daily, weekly and monthly.

Team Analytics API body parameter in Select your timezone, date start, date end, filter\_type and agent\_id. Filter Type in today, yesterday, daily, weekly and monthly parameter available.

**Team Analytic**

![](/files/-LNE3l3jyM0urFdi4Lkz)

| Parameter         | Value                                                 |
| ----------------- | ----------------------------------------------------- |
| **Path**          | <https://app.acquire.io/api/analytics/agent/overview> |
| **Method**        | POST                                                  |
| **Authorization** | Bearer \[YOUR\_API\_AUTH\_TOKEN]                      |
| **Content-type**  | application/x-www-form-urlencoded                     |

**Body**

| Parameter        | Value               |
| ---------------- | ------------------- |
| **timezone**     | Europe/London       |
| **date\_start**  | 2018-05-23 00:00:00 |
| **date\_end**    | 2018-07-18 23:59:59 |
| **filter\_type** | daily               |
| **agent\_id**    |                     |

**Response JSON**

```javascript

{
    "success": true,
    "error": null,
    "data": {
        "chat_report": {
            "analytics": {
                "15416": {
                    "assigned_chat": 62,
                    "total_chat": 61,
                    "unanswered_chat": 0,
                    "total_missed_chat": 0,
                    "average_chat_time": "08 minutes 52 seconds ",
                    "average_response_time": "02 seconds ",
                    "total_time_on_chat": "09 hours 35 seconds ",
                    "average_drop_off_time": "",
                    "rating_positive": 3,
                    "rating_negative": 0
                }
            },
            "login_scale": {}
        }
    }
}

```

**Sample Code**

{% tabs %}
{% tab title="PHP" %}

```javascript
$curl = curl_init();

	curl_setopt_array($curl, array(
		CURLOPT_URL => "https://app.acquire.io/analytics/agent/overview",
		CURLOPT_RETURNTRANSFER => true,
		CURLOPT_ENCODING => "",
		CURLOPT_MAXREDIRS => 10,
		CURLOPT_TIMEOUT => 30,
		CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
		CURLOPT_CUSTOMREQUEST => "POST",
		CURLOPT_POSTFIELDS => "timezone=Europe%2FLondon&date_start=2018-05-23%2000%3A00%3A00&date_end=2018-07-18%2023%3A59%3A59&filter_type=&agent_id=",
		CURLOPT_HTTPHEADER => array(
		"Authorization: Bearer [YOUR_API_AUTH_TOKEN]",
		"Content-Type: application/x-www-form-urlencoded"
		),
	));

	$response = curl_exec($curl);
	$err = curl_error($curl);

	curl_close($curl);

	if ($err) {
		echo "cURL Error #:" . $err;
	} else {
		echo $response;
	}
```

{% endtab %}

{% tab title="Ruby" %}

```javascript
require 'uri'
	require 'net/http'

	url = URI("https://app.acquire.io/analytics/agent/overview")

	http = Net::HTTP.new(url.host, url.port)

	request = Net::HTTP::Post.new(url)
	request["Authorization"] = 'Bearer [YOUR_API_AUTH_TOKEN]'
	request["Content-Type"] = 'application/x-www-form-urlencoded'
	request.body = "timezone=Europe%2FLondon&date_start=2018-05-23%2000%3A00%3A00&date_end=2018-07-18%2023%3A59%3A59&filter_type=&agent_id="

	response = http.request(request)
	puts response.read_body
```

{% endtab %}

{% tab title="cURL" %}

```javascript
curl --request POST \
		--url 'https://app.acquire.io/analytics/agent/overview' \
		--header 'Authorization: Bearer [YOUR_API_AUTH_TOKEN]' \
		--header 'Content-Type: application/x-www-form-urlencoded' \
		--data 'timezone=Europe%2FLondon&date_start=2018-05-23%2000%3A00%3A00&date_end=2018-07-18%2023%3A59%3A59&filter_type=&agent_id='
```

{% endtab %}

{% tab title="jQuery" %}

```javascript
var settings = {
		"async": true,
		"crossDomain": true,
		"url": "https://app.acquire.io/analytics/agent/overview",
		"method": "POST",
		"headers": {
		"Authorization": "Bearer [YOUR_API_AUTH_TOKEN]"
		"Content-Type": "application/x-www-form-urlencoded"
	},
		"data": {
			"timezone": "Europe/London",
			"date_start": "2018-05-23 00:00:00",
			"date_end": "2018-07-18 23:59:59",
			"agent_id": ""
		}
	}

	$.ajax(settings).done(function (response) {
		console.log(response);
	});
```

{% endtab %}

{% tab title="Python" %}

```javascript
import requests

		url = "https://app.acquire.io/analytics/agent/overview"

		payload = "timezone=Europe%2FLondon&date_start=2018-05-23%2000%3A00%3A00&date_end=2018-07-18%2023%3A59%3A59&filter_type=&agent_id="
		headers = {'Authorization': 'Bearer [YOUR_API_AUTH_TOKEN]','Content-Type': 'application/x-www-form-urlencoded'}

		response = requests.request("POST", url, data=payload, headers=headers)

	print(response.text)

```

{% endtab %}

{% tab title="Node" %}

```javascript
var qs = require("querystring");
	var http = require("http");

	var options = {
		"method": "POST",
		"hostname": [
		"https://app.acquire.io/"
		],
		"path": [
		"analytics",
		"agent",
		"overview"
		],
		"headers": {
		"Authorization": "Bearer [YOUR_API_AUTH_TOKEN]",
		"Content-Type": "application/x-www-form-urlencoded"
		}
	};

	var req = http.request(options, function (res) {
	var chunks = [];

	res.on("data", function (chunk) {
		chunks.push(chunk);
	});

	res.on("end", function () {
		var body = Buffer.concat(chunks);
		console.log(body.toString());
	});
	});

	req.write(qs.stringify({ timezone: 'Europe/London',
		date_start: '2018-05-23 00:00:00',
		date_end: '2018-07-18 23:59:59',
		filter_type: undefined,
		agent_id: '' }));
	req.end();
```

{% endtab %}
{% endtabs %}


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://developer.acquire.io/master/rest-apis/analytics/team-analytics.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.