Insights
The Insights service exposes all the sessions information for an account and can be queried and aggregated in a dynamic way
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Endpoints

Search Session - Requires API Key

Any request to this endpoint must contain X-Vgai-Key header with a valid API key
Endpoint- https://studio-api-<REGION>ai.vonage.com/insights/sessions
For <REGION> please fill in the region of your agent, which will be either EU or US.
Method: GET
This is a flexible, low-level endpoint that allows you to provide ElasticSearch syntax requests to get fine-grained results.
Parameters:
  • from_date - isoformatted datetime, presents the start of the search range
  • to_date - isoformatted datetime, presents the end of the search range
    • Note, the system only supports date ranges up to 60 days apart
  • page_number - int - pagination page number (starts from 0)
  • page_size - int - pagination page size
  • sort_by - array of strings - a comma-separated list of <document attribute>:<asc/desc>. Any attributes in the document are valid here.
    • Example uses: "session_start_time:desc,agent_information.id:asc"
      • sort by session start time descending order, agent id ascending order after that
  • project_fields - string - a string list of the fields to retrieve from the document.
    • Example uses: ["session_start_time","source","destination","agent_id","channel_data.duration","id"]
      • Only get the following fields from the document:
        • session_start_time
        • source
        • destination
        • agent_id
        • channel_data.duration
        • id
  • filter_by - dictionary - a dictionary containing elasticsearch boolean query components.
    • This dictionary can contain the following three keys, whose value will be explained below:
      • must
        • All the search patterns in the "must" array must be present in the returned document.
      • must_not
        • All the search patterns in the "must_not" array must not be present in the returned document.
      • should
        • A document must contain at least one value in the "should" array, if it has no value in the "should" array, it will not match.
    • Each of these keys is a list of dictionaries. Each dictionary contains a query component that looks like this:
      • {"term": {"request_ids": "12345"}}
        • This tells elasticsearch to do an exact match on request_ids and only return documents that have a value in request_ids that's equal to "12345"
      • {"match": {"transcription.client": "i love this agent!"}}
        • This tells elasticsearch to do a match search on all documents in order to find all the documents in which the client has at one point said something in the spirit of "I love this agent".
      • It's important to remember the distinction between term and match.
        • Term searches perform an exact comparison, and so they're useful for searching ids, dates, and numbers.
        • Match searches perform a search engine style search that look for a match in the value like a search engine would do, rather than an exact 1-1 match. This is useful for scanning conversations.
      • Any ID field can only be searched using term searches, match searches will not work. The following fields are considered ID fields:
api_key
The agent's nexmo api key (not yet implemented)
id
Session ID
source
Caller phone number
destination
Agent phone number
account_id
channel
Telephony/ Whatsapp/ http
agent_information.id
Agent ID
agent_information.version_id
Published Version
agent_information.name
Agent Name
agent_information.voice
Voice name
agent_information.language
Agent Language
flow_data.collected_tags.tag
Collected tags during the call, can have duplication in case the same tag was collected multiple times
flow_data.collected_tags.category
flow_data.collected_parameters.name
Collected parameters, can have duplication in case the same parameter was collected multiple times
flow_data.collected_parameters.type
Entity type
flow_data.collected_parameters.audio_url
Recording URL
flow_path.node_id
flow_path.request_id
Request ID made by the node
flow_path.type
Node type
flow_path.tags.tag
Tags collected by the node
flow_path.tags.category
Tag category collected by the node
flow_path.context.execution_parameters.name
Parameter information
flow_path.context.execution_parameters.type
Parameter information
flow_path.context.execution_parameters.audio_url
Parameter information
flow_path.context.url
If the node send a webhook request to another URL, this is that URL
flow_path.request.payload
The payload sent to the webhook
flow_path.request.url
Same URL as above
flow_path.request.headers
Headers sent to the URL
flow_path.request.verb
POST/GET/UPDATE etc
flow_path.response.payload
Response provided by the API
tags_list.tag
Tags collected by session, no duplication here, one entry per tag
tags_list.category
Tag Category
tags_list.count
Amount of times the tag was collected
params_list.name
Paramters collected by the session, no duplication here, only the last value is set per parameter
params_list.type
params_list.value
params_list.audio_url
Recording url of the parameter
flow_path.context.altered_parameters.alteration_source
What caused this parameter's value to change? It can be injected/completed/classified
flow_path.context.altered_parameters.audio_duration
flow_path.context.altered_parameters.audio_url
flow_path.context.altered_parameters.entity
flow_path.context.altered_parameters.name
flow_path.context.altered_parameters.value
flow_path.context.altered_parameters.value_text
channel_data.audio_url
Recording URL for the call
channel_data.call_status
The call's status (in_progress/ended)
channel_data.duration
Call's duration (in milliseconds)
channel_data.status_code
The call's status in terms of if it had errors or not. 0 = successful, 100 = warning, 200 = erroneous
parameters.<parameter_name>
A way to get the parameter's last set value in a nicer way
tags.<tag_name>
A way to get the tag's amount of times collected

Parameter usage examples

Find all calls from agent id 1234567, in which the client has said at one point "shut up"
{
"must": [
{"term": {"agent_information.id": "1234567"}},
{"match": {"transcription.client": "shut up"}}
]
}
Find all calls that were tagged as tag "cat", "dog" and "rat"
{
"must": [
{"term": {"flow_data.collected_tags.tag": "cat"}},
{"term": {"flow_data.collected_tags.tag": "dog"}},
{"term": {"flow_data.collected_tags.tag": "rat"}}
]
}
Find all the calls from phone number "9726666666" that had either request id "22" or request id "44"
{
"must": [
{"term": {"source": "9726666666"}}
],
"should": [
{"term": {"request_ids": "22"}},
{"term": {"request_ids": "44"}}
]
}
Find all the calls except for calls that were tagged as "invalid"
{
"must_not": [
{"term": {"flow_data.collected_tags.tag": "invalid"}}
]
}
Sort By
Sort by the call time, descending order
session_start_time:desc
Sort by agent name ascending order, status descending order
agent_information:asc,status:desc
Project Field
Retrieve only the agent information fields and the flow_data fields (This will return all the contents of these fields, so all the agent information and all the flow data)
["agent_information","flow_data"]
Retrieve the agent name, all the collected tags, and status
["agent_information.name","flow_data.collected_tags","status"]

Example queries

Get the first 100 agent queries, whose status has ended, sorted by session_start_time descending, that were made between the 15th and 17th of September
https://studio-api-<REGION>.ai.vonage.com/insights/sessions?from_date=2020-09-15&to_date=2020-09-17&page_number=0&page_size=100&sort_by=session_start_time:desc&filter_by={"must": [{"term": {"status":"ended"}}]}&project_fields=["agent_information"]
Get results 30-40 of all calls that happened on the 20th August 2020
https://stairway.ai.vonage.com/insights/sessions?from_date=2020-08-20&to_date=2020-08-20&page_number=3&page_size=10
General call logs:
from_date = <isoformatted from date>
to_date = <isoformatted to date>
page_size = <page size>
page_number = <page number> // starts from 0
project_fields = ["session_start_time", "agent_id", "source", "channel_data.duration"]
Call logs for one or more agent:
from_date = <isoformatted from date>
to_date = <isoformatted to date>
page_size = <page size>
page_number = <page number>
project_fields = ["session_start_time", "agent_id", "source", "channel_data.duration"]
filter_by = {"should" [
{"term": {"agent_id": "<agent_id_1>"}},
{"term": {"agent_id": "<agent_id_2>"}}
]}
Call logs for one or more agent, sorted by the longest call duration:
from_date = <isoformatted from date>
to_date = <isoformatted to date>
page_size = <page size>
page_number = <page number>
project_fields = ["session_start_time", "agent_id", "source", "channel_data.duration"]
sort_by = "channel_data.duration:desc"
filter_by = {"should" [
{"term": {"agent_id": "<agent_id_1>"}},
{"term": {"agent_id": "<agent_id_2>"}}
]}

Get Session - Requires API Key

Any request to this endpoint must contain X-Vgai-Key header with a valid API key
Endpoint - https://studio-api-<REGION>.ai.vonage.com/insights/sessions/{session-id}/parameters
For <REGION> please fill in the region of your agent, which will be either EU or US.
Method: GET
Tries to retrieve a conversation from the database. If the session id does not exist in the provided date this query will fail.
Parameters:
  • session_start_time: isoformatted datetime string denoting when the session started.
    • Example: 2021-01-15T08:09:43.377776
    • Note: This does not have to be precise, if you know the day in which the session occurred, you can use that day, i.e. 2021-01-15

Search Session - Requires API Key

Any request to this endpoint must contain X-Vgai-Key header with a valid API key
Endpoint - https://studio-api-<REGION>.ai.vonage.com/insights/sessions/search/{session_id}
For <REGION> please fill in the region of your agent, which will be either EU or US.
Method: GET
Searches for the provided session id in a wide range of dates. Please note that the nature of this query is much slower than the standard get session provided above, so only use it if you are unsure when the session took place.

Delete Session - Requires API Key

Any request to this endpoint must contain X-Vgai-Key header with a valid API key
Endpoint - https://studio-api-<REGION>.ai.vonage.com/insights/sessions/{session_id}
For <REGION> please fill in the region of your agent, which will be either EU or US.
Method: DELETE
Tries to delete a conversation from the database. If the session id does not exist in the provided date this query will fail.
Parameters:
  • session_start_time: isoformatted datetime string denoting when the session started.
    • Example: 2021-01-15T08:09:43.377776
    • Note: This does not have to be precise, if you know the day in which the session occurred, you can use that day, i.e. 2021-01-15

Expected Errors:

401 Errors in case invalid parameters are provided (such as invalid date ranges, invalid filters, etc)
404 Errors in case searching for a specific session yields no result

Models

Below is an example model of our insights conversation model. Each conversation will have one such model. Every conversation has a flow path, which is composed of one or more flow steps, each step being a node execution in the agent.
All the fields that are marked with a <> are queryable. If they are wrapped with a “ ” then that means that the field is a string field, otherwise, it’s a number or a boolean.
{
"flow_path" : [
{
"synchronized" : <true/false>,
"request" : {
"headers" : """<request_headers>""",
"payload" : """<request_payload>""",
"verb" : "<request_verb>",
"url" : "<webhook_url>"
},
"response" : {
"code" : <status_code>,
"payload" : """<response_message>"""
},
"context" : {
"output" : null,
"user_input" : "",
"execution_parameters" : [
{
"value_text" : "",
"name" : "<execution_param_1_name>",
"completed" : <true/false>,
"value" : "<execution_param_1_name>",
"entity" : "<execution_param_1_entity>"
},
{
"value_text" : "",
"name" : "<execution_param_2_name>",
"completed" : true/false,
"value" : "<execution_param_2_name>",
"entity" : "<execution_param_2_entity>"
},
{
"value_text" : "",
"name" : "<execution_param_3_name>",
"completed" : true/false,
"value" : "<execution_param_3_name>",
"entity" : "<execution_param_3_entity>"
},
{
"value_text" : "<textual_value>",
"name" : "<param_1_name>",
"completed" : true/false,
"value" : "<param_1_value>",
"entity" : "<param_1_entity>"
}
],
"url" : "webhook_url",
"status" : {
"code" : <response_code>,
"message" : """<response_message>"""
}
},
"type" : "webhook",
"request_id" : "<request_id>",
"node_id" : "<internal_node_id>",
"tags" : [ ],
"execution_time" : <execution_time>
},
{
"synchronized" : <true/false>,
"request" : {
"headers" : "<headers>",
"payload" : "<payload>",
"verb" : "<verb>",
"url" : "<url>"
},
"response" : {
"code" : <response_code>,
"payload" : "<response_payload>"
},
"context" : {
"output" : <output>,
"user_input" : "<user_input>",
"execution_parameters" : [
{
"value_text" : "<execution_param_1_value_text>",
"name" : "<execution_param_1_name>",
"completed" : <true/false>,
"value" : "<execution_param_1_name>",
"entity" : "<execution_param_1_entity>"
},
{
"value_text" : "<execution_param_2_value_text>",
"name" : "<execution_param_2_name>",
"completed" : <true/false>,
"value" : "<execution_param_2_name>",
"entity" : "<execution_param_2_entity>"
},
{
"value_text" : "<execution_param_3_value_text>",
"name" : "<execution_param_3_name>",
"completed" : <true/false>,
"value" : "<execution_param_3_name>",
"entity" : "<execution_param_3_entity>"
},
{
"value_text" : "<textual_value>",
"name" : "<param_1_name>",
"completed" : <true/false>,
"value" : "<param_1_value>",
"entity" : "<param_1_entity>"
}
],
"url" : "",
"status" : {
"code" : <status_code>,
"message" : "<message>"
}
},
"type" : "<node_type>",
"request_id" : "<request_id>",
"node_id" : "<internal_node_id>",
"tags" : [ ],
"execution_time" : 0
}
],
"transcription" : [
{
"user" : "<user_statement>"
},
{
"<agent_id>": "<agent_statement>"
}
],
"tags_list" : [
{
"count" : 1,
"tag" : "<tag_1>",
"category" : "<tag_category_1>"
},
{
"count" : 1,
"tag" : "<tag_2>",
"category" : "<tag_category_2>"
},
{
"count" : 1,
"tag" : "<tag_3>",
"category" : "<tag_category_2>"
}
],
"channel_data" : {
"call_status" : "in_progress/ended"
},
"params_list" : [
{
"value_text" : "<textual_value>",
"name" : "<param_1_name>",
"completed" : <true/false>,
"value" : "<param_1_value>",
"entity" : "<param_1_entity>"
}
],
"destination" : <agent_phone_number>,
"channel" : "<telephony/whatsapp>",
"session_start_time" : "<session time in isoformat>,
"language" : "en-US",
"flow_data" : {
"injected_parameters" : [ ],
"collected_tags" : [
{
"tag" : "<tag_1>",
"category" : "<tag_category_1>"
},
{
"tag" : "<tag_2>",
"category" : "<tag_category_2>"
},
{
"tag" : "<tag_3>",
"category" : "<tag_category_2>"
}
],
"collected_parameters" : [
{
"value_text" : "<textual_value>",
"name" : "<param_1_name>",
"completed" : <true/false>,
"value" : "<param_1_value>",
"entity" : "<param_1_entity>"
}
]
},
"source" : "<caller_phone_number>",
"params" : {
"<param_1_name>" : {
"completed" : <true/false>,
"value" : "<param_1_value>"
}
},
"tags" : {
"<tag_category_1>" : {
"<tag_1>" : tag_1_count
},
"<tag_category_2>" : {
"<tag_2>" : tag_2_count
},
"<tag_category_2>" : {
"<tag_2>" : tag_2_count,
"<tag_3>" : tag_3_count
}
},
"account_id" : "<account_id>",
"api_key" : "N/A",
"request_ids" : [
"<request_id_1>",
"<request_id_2>"
],
"id" : "<session_id>",
"agent_information" : {
"voice" : "<voice>",
"name" : "<name>",
"language" : "<language>",
"version_id" : "<version_id>",
"id" : "<agent_id>",
},
"status" : "<in_progress/ended>"
}

Example Output Document

Get All Result

{
"total": 1, // The total number of results available
"hits": [ // An array of results
{
"transcription": [
{
"5f7f2f337340dc7249f81406": "sup?"
},
{
"5f7f2f337340dc7249f81406": "name?"
},
{
"user": "Benjamin"
},
{
"5f7f2f337340dc7249f81406": "shut up Benjamin"
}
],
"account_id": "5f7f277cf090a7001116fabe",
"api_key": "N/A",
"status": "ended",
"id": "8ae433e8-7bc1-41a0-b0a6-0cccc30cbc36",
"language": "en-US",
"tags": {
"ddbc05ccbc48431d898104ac5e5b561a": {
"two": 1,
"one": 1,
"three": 2
}
},
"params": {
"name": {
"completed": true,
"value": "Benjamin"
}
},
"tags_list": [
{
"count": 1,
"tag": "two",
"category": "ddbc05ccbc48431d898104ac5e5b561a"
},
{
"count": 1,
"tag": "one",
"category": "ddbc05ccbc48431d898104ac5e5b561a"
},
{
"count": 2,
"tag": "three",
"category": "ddbc05ccbc48431d898104ac5e5b561a"
}
],
"params_list": [
{
"value_text": "Benjamin",
"name": "name",
"completed": true,
"type": "sys.names",
"value": "Benjamin"
}
],
"agent_information": {
"version_id": "5f7f2f337340dc7249f81406",
"id": "5f7f2e60a6034c9b5c79d16c",
"name": "oriprod2",
"voice": "Salli",
"language": "en-US"
},
"source": "9720014044002502",
"destination": "972523656841",
"channel": "voice",
"session_start_time": "2020-10-08T17:09:27.758983",
"request_ids": [
"759a8938-c296-4ff5-9ec9-d3f0267893f9",
"db2a0259-92fa-4067-a50c-728689276c58"
],
"channel_data": {
"duration": 27000,
"audio_url": "5f7f277cf090a7001116fabe/5f7f2f337340dc7249f81406/8ae433e8-7bc1-41a0-b0a6-0cccc30cbc36.mp3",
"call_status": "ended",
"status_code": 200
},
"flow_data": {
"collected_tags": [
{
"tag": "two",
"category": "ddbc05ccbc48431d898104ac5e5b561a"
},
{
"tag": "one",
"category": "ddbc05ccbc48431d898104ac5e5b561a"
},
{
"tag": "three",
"category": "ddbc05ccbc48431d898104ac5e5b561a"
},
{
"tag": "three",
"category": "ddbc05ccbc48431d898104ac5e5b561a"
}
],
"collected_parameters": [
{
"value_text": "Benjamin",
"name": "name",
"completed": true,
"type": "sys.names",
"value": "Benjamin"
}
],
"injected_parameters": []
},
"flow_path": [
{
"node_id": "5f7f2e60a6034c9b5c79d16b",
"type": "start",
"context": {
"execution_parameters": [
{
"name": "name",
"type": "sys.names",
"value": "",
"value_text": "",
"completed": false
}
],
"status": {
"code": 200,
"message": ""
},
"output": null,
"user_input": "",
"url": ""
},
"tags": [],
"execution_time": 0,
"synchronized": true,
"request_id": "759a8938-c296-4ff5-9ec9-d3f0267893f9",
"request": {
"payload": "",
"headers": "",
"verb": "POST",
"url": ""
},
"response": {
"payload": "",
"code": 200
}
},
{
"synchronized": true,
"request": {
"headers": "{\"Content-Type\": \"application/json\"}",
"payload": "{\"session_id\": \"8ae433e8-7bc1-41a0-b0a6-0cccc30cbc36\", \"action_id\": \"5f7f2e689ce1d4ecd57793c5\", \"is_collect_input\": false, \"type\": \"speak\", \"text\": \"sup?\", \"audio\": null, \"voice_id\": \"Salli\", \"language_code\": \"en-US\"}",
"verb": "POST",
"url": "http://telephony-connector.ai.vonage.com/api/actions/speak"
},
"response": {
"code": 201,
"payload": "{\"message\": \"Succesfully registered SPEAK action for session_id: 8ae433e8-7bc1-41a0-b0a6-0cccc30cbc36\"}"
},
"context": {
"output": null,
"user_input": "",
"execution_parameters": [
{
"value_text": "",
"name": "name",
"completed": false,
"type": "sys.names",
"value": ""
}
],
"url": "http://telephony-connector.ai.vonage.com/api/actions/speak",
"status": {
"code": 201,
"message": "{\"message\": \"Succesfully registered SPEAK action for session_id: 8ae433e8-7bc1-41a0-b0a6-0cccc30cbc36\"}"
}
},
"type": "speak",
"request_id": "759a8938-c296-4ff5-9ec9-d3f0267893f9",
"node_id": "5f7f2e689ce1d4ecd57793c5",
"tags": [
{
"tag": "two",
"category": "ddbc05ccbc48431d898104ac5e5b561a"
}
],
"execution_time": 168
},
{
"synchronized": true,
"request": {
"headers": "{\"Content-Type\": \"application/json\"}",
"payload": "{\"session_id\": \"8ae433e8-7bc1-41a0-b0a6-0cccc30cbc36\", \"action_id\": \"7f99f590-437d-4e50-b985-196d419da71e\", \"is_collect_input\": true, \"type\": \"speak\", \"text\": \"name?\", \"audio\": null, \"voice_id\": \"Salli\", \"language_code\": \"en-US\"}",
"verb": "POST",
"url": "http://telephony-connector.ai.vonage.com/api/actions/speak"
},
"response": {
"code": 201,
"payload": "{\"message\": \"Succesfully registered SPEAK action for session_id: 8ae433e8-7bc1-41a0-b0a6-0cccc30cbc36\"}"
},
"context": {
"output": null,
"user_input": "",
"execution_parameters": [
{
"value_text": "",
"name": "name",
"completed": false,
"type": "sys.names",
"value": ""
}
],
"url": "http://telephony-connector.ai.vonage.com/api/actions/speak",
"status": {
"code": 201,
"message": "{\"message\": \"Succesfully registered SPEAK action for session_id: 8ae433e8-7bc1-41a0-b0a6-0cccc30cbc36\"}"
}
},
"type": "speak",
"request_id": "759a8938-c296-4ff5-9ec9-d3f0267893f9",
"node_id": "7f99f590-437d-4e50-b985-196d419da71e",
"tags": [],
"execution_time": 4777
},
{
"synchronized": true,
"request": {
"headers": "",
"payload": "",
"verb": "POST",
"url": ""
},
"response": {
"code": 200,
"payload": ""
},
"context": {
"output": null,
"user_input": "Benjamin",
"execution_parameters": [
{
"value_text": "Benjamin",
"name": "name",
"completed": true,
"type": "sys.names",
"value": "Benjamin"
}
],
"url": "",
"status": {
"code": 200,
"message": ""
}
},
"type": "param_completion",
"request_id": "db2a0259-92fa-4067-a50c-728689276c58",
"node_id": "5f7f2e6f7340dc7249f813fa",
"tags": [
{
"tag": "one",
"category": "ddbc05ccbc48431d898104ac5e5b561a"
}
],
"execution_time": 53
},
{
"synchronized": true,
"request": {
"headers": "{\"Content-Type\": \"application/json\"}",
"payload": "{\"session_id\": \"8ae433e8-7bc1-41a0-b0a6-0cccc30cbc36\", \"action_id\": \"5f7f2eca35e7e1a6c42754e9\", \"is_collect_input\": false, \"type\": \"speak\", \"text\": \"shut up Benjamin\", \"audio\": null, \"voice_id\": \"Salli\", \"language_code\": \"en-US\"}",
"verb": "POST",
"url": "http://telephony-connector.ai.vonage.com/api/actions/speak"
},
"response": {
"code": 201,
"payload": "{\"message\": \"Successfully registered SPEAK action for session_id: 8ae433e8-7bc1-41a0-b0a6-0cccc30cbc36\"}"
},
"context": {
"output": null,
"user_input": "",
"execution_parameters": [
{
"value_text": "Benjamin",
"name": "name",
"completed": true,
"type": "sys.names",
"value": "Benjamin"
}
],
"url": "http://telephony-connector.ai.vonage.com/api/actions/speak",
"status": {
"code": 201,
"message": "{\"message\": \"Successfully registered SPEAK action for session_id: 8ae433e8-7bc1-41a0-b0a6-0cccc30cbc36\"}"
}
},
"type": "speak",
"request_id": "db2a0259-92fa-4067-a50c-728689276c58",
"node_id": "5f7f2eca35e7e1a6c42754e9",
"tags": [
{
"tag": "three",
"category": "ddbc05ccbc48431d898104ac5e5b561a"
}
],
"execution_time": 4727
},
{
"synchronized": true,
"request": {
"headers": "",
"payload": "",
"verb": "POST",
"url": ""
},
"response": {
"code": 200,
"payload": ""
},
"context": {
"output": null,
"user_input": "",
"execution_parameters": [
{
"value_text": "Benjamin",
"name": "name",
"completed": true,
"type": "sys.names",
"value": "Benjamin"
}
],
"url": "",
"status": {
"code": 200,
"message": ""
}
},
"type": "end_call",
"request_id": "db2a0259-92fa-4067-a50c-728689276c58",
"node_id": "5f7f2eca35e7e1a6c42754e9",
"tags": [
{
"tag": "three",
"category": "ddbc05ccbc48431d898104ac5e5b561a"
}
],
"execution_time": 0
}
]
}
],
"page_size": "10", // The page size the user provided
"page_number": "0" // The page number the user provided
}

Make your Call Recordings public

When you enable "Public Recordings", the Call Recording URL received through the Insights API, will be available publicly. Once queried, simply take the audio URL and paste it into your browsers address bar.
You will find the audio URL in the request here:
"channel_data": {
"duration": 27000,
"audio_url": "5f7f277cf090a7001116fabe/5f7f2f337340dc7249f81406/8ae433e8-7bc1-41a0-b0a6-0cccc30cbc36.mp3",
"call_status": "ended",
"status_code": 200
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On this page
Endpoints
Search Session - Requires API Key
Get Session - Requires API Key
Search Session - Requires API Key
Delete Session - Requires API Key
Expected Errors:
Models
Example Output Document
Make your Call Recordings public