ARGENTINA
Buenos Aires +54 (11) 5217 5933
BRAZIL
Sao Paulo +55 (11) 521 75 933
CHILE
Santiago de Chile +56 (2) 240 533 89
URL:
Description:
API that allows generating speech analytics information and all voice to text conversion analysis in calls.
Benefit:
It allows to optimize the analysis of voice to text conversions without having to listen to the recordings of the calls.
How it works:
NAME | DESCRIPTION | TYPE |
---|---|---|
api | Type of report required | String |
date_ini | Initial Date (YYYYmmddHHiiss) | String |
date_end | Final Date (YYYYmmddHHiiss) | String |
filter | Field name, column, or to filter the search | String |
value | Value to which the filter is to be applied | String |
NAME | DESCRIPTION | TYPE |
---|---|---|
conn_id | It corresponds to the call ID | String |
agent_id | It is the numerical user that is assigned to each of the wolkvox agents | String |
customer_phone | It corresponds to the customer‘s phone | String |
time | Indicates time in units of seconds | String |
date | Indicates the date with year–month–day–hour format | String |
cod_act | Refers to the call classification | String |
greeting | Greeting | String |
slow_to_greet | Indicates if there was slowness in the greeting | String |
greeting_agent_name | Indicates if the agent greets with his name | String |
category01 | Category 1 customizable and configurable in the speech | String |
category02 | Category 2 customizable and configurable in the speech | String |
category03 | Category 3 customizable and configurable in the speech | String |
category04 | Category 4 customizable and configurable in the speech | String |
category05 | Category 5 customizable and configurable in the speech | String |
silence | Percentage of silence in the call | String |
audio_text | Voice to text conversion of the call | String |
customer_id | Corresponds to the customer‘s identification number | String |
summary | Summary of the call conversation | String |
feeling | Average feeling of the customer about the conversation | String |
$curl = curl_init();
curl_setopt_array($curl, array(
CURLOPT_URL => 'https://wv{{wolkvox_server}}.wolkvox.com/api/v2/speech_analytics.php?date_ini={{YYYYmmddHHiiss}}&date_end={{YYYYmmddHHiiss}}&api=speech_calls&filter={{filter}}&value={{value}}',
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => '',
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 0,
CURLOPT_FOLLOWLOCATION => true,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => 'GET',
CURLOPT_HTTPHEADER => array(
'wolkvox-token: {{token}}'
),
));
$response = curl_exec($curl);
curl_close($curl);
echo $response;
curl --location --request GET 'https://wv{{wolkvox_server}}.wolkvox.com/api/v2/speech_analytics.php?date_ini={{YYYYmmddHHiiss}}&date_end={{YYYYmmddHHiiss}}&api=speech_calls&filter={{filter}}&value={{value}}'
--header 'wolkvox-token: {{token}}'
OkHttpClient client = new OkHttpClient().newBuilder()
.build();
Request request = new Request.Builder()
.url("https://wv{{wolkvox_server}}.wolkvox.com/api/v2/speech_analytics.php?date_ini={{YYYYmmddHHiiss}}&date_end={{YYYYmmddHHiiss}}&api=speech_calls&filter={{filter}}&value={{value}}")
.method("GET", null)
.addHeader("wolkvox-token", "{{token}}")
.build();
Response response = client.newCall(request).execute();
import requests
url = "https://wv{{wolkvox_server}}.wolkvox.com/api/v2/speech_analytics.php?date_ini={{YYYYmmddHHiiss}}&date_end={{YYYYmmddHHiiss}}&api=speech_calls&filter={{filter}}&value={{value}}"
payload={}
headers = {
'wolkvox-token': '{{token}}'
}
response = requests.request("GET", url, headers=headers, data=payload)
print(response.text)
{
"code": "200",
"error": null,
"msg": "1 records were found",
"data": [
{
"conn_id": "",
"agent_id": "",
"customer_phone": "",
"time": "",
"date": "",
"cod_act": "",
"greeting": "",
"slow_to_greet": "",
"greeting_agent_name": "",
"category01": "",
"category02": "",
"category03": "",
"category04": "",
"category05": "",
"silence": "",
"audio_text": "",
"customer_id":"",
"summary": "",
"feeling":""
}
]
}
Nueva York +1 (914) 373 7136
Sao Paulo +55 (11) 521 75 933
Santiago de Chile +56 (2) 240 533 89
Medellín +57 (604) 322 98 80
Ciudad de Guatemala +502 (2) 3141344
Ciudad de México +52 (55) 8526 36 34
Copyright © 2022 MICROSYSLABS S.A.S. Cra 30 # 4A-45 Of. 205 Ed. FOREVER W&L, Medellín, Colombia
COLOMBIA
Medellín +57 (4) 322 98 80
Bogotá +57 (1) 381 90 40
Cali +57 (2) 891 28 46
Barranquilla +57 (5) 316 10 34
ARGENTINA
Buenos Aires +54 (11) 5217 5933
SPAIN
Madrid +34 (910) 601 691
MEXICO
Ciudad de México +52 (55) 8526 36 34
BRASIL
Brasilia +55 (61) 9836 4127
São Paulo +55 (12) 9811 155 83
UNITED STATES
New York +1 (914) 373 71 36
DOMINICAN REPUBLIC
Santo Domingo +1 (829) 249 69 68
CHILE
Santiago de Chile +56 (2) 240 533 89
GUATEMALA
Ciudad de Guatemala +502 (2) 314 1344
PERU
Lima +51 (1) 644 91 39
Copyright © 2022 MICROSYSLABS S.A.S.
Cra 30 # 4A – 45 Of. 205 Ed. FOREVER W&L, Medellín, Colombia