Ratings and feedback
Overview
The rating_feedback function provides access to ratings and feedback left by end users. Use this endpoint to:
- Retrieve customer satisfaction ratings
- Access feedback comments from users
- Analyze ratings by agent or AI agent
Quick start
query RatingsFeedbacks(
$deskIds: _uuid
$brainIds: _uuid
$integrationIds: _uuid
$brainVersions: _int4
$startDate: timestamp
$endDate: timestamp
$agentIds: _text
$ratings: _int4
$isTest: Boolean
) {
rows: rating_feedback(
args: {
start_time: $startDate
end_time: $endDate
brain_parent_ids: $brainIds
desk_ids: $deskIds
integration_ids: $integrationIds
brain_versions: $brainVersions
is_test: $isTest
agent_ids: $agentIds
ratings: $ratings
}
) {
agent_id
agent_name
brain_id
brain_parent_id
version
rating
feedback
is_test
}
}
Variables:
{
"deskIds": "{d2be0283-9b53-4d7b-b77d-2650f3a1a99c}",
"startDate": "2024-01-08",
"endDate": "2024-01-17"
}
Try it
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Parameters
| Parameter | Type | Description |
|---|---|---|
deskIds | _uuid | Filter by desk IDs |
brainIds | _uuid | Filter by AI agent IDs |
integrationIds | _uuid | Filter by integration IDs |
brainVersions | _int4 | Filter by AI agent versions |
startDate | timestamp | Start date (format: yyyy-mm-dd) |
endDate | timestamp | End date (format: yyyy-mm-dd) |
agentIds | _text | Filter by human agent IDs |
ratings | _int4 | Filter by specific rating values |
isTest | Boolean | Exclude test sessions |
Response fields
| Field | Type | Description |
|---|---|---|
agent_id | uuid | Human agent identifier |
agent_name | String | Agent display name |
brain_id | uuid | AI agent version identifier |
brain_parent_id | uuid | AI agent parent identifier |
version | Int | AI agent version number |
rating | Int | Rating value (1-5) |
feedback | String | User feedback text |
is_test | Boolean | Whether session was a test |
Common use cases
- Single desk
- Multiple desks
- Specific agents
- Low ratings only
- Production only
Get ratings for a single desk:
{
"deskIds": "{d2be0283-9b53-4d7b-b77d-2650f3a1a99c}",
"startDate": "2024-01-08",
"endDate": "2024-01-17"
}
Get ratings across multiple desks:
{
"deskIds": "{d2be0283-9b53-4d7b-b77d-2650f3a1a99c, 51ff88a7-dfab-44e5-9303-9b2bf13f1c94}",
"startDate": "2024-01-08",
"endDate": "2024-01-17"
}
Get ratings for specific agents:
{
"deskIds": "{d2be0283-9b53-4d7b-b77d-2650f3a1a99c}",
"agentIds": "{1b28b8ba-c9de-42ac-94ad-564e0c6858c9, 1e47963e-ae46-4821-ae61-10773d1141a2}",
"startDate": "2024-01-08",
"endDate": "2024-01-17"
}
Filter for low ratings (1-3):
{
"deskIds": "{d2be0283-9b53-4d7b-b77d-2650f3a1a99c}",
"ratings": "{1,2,3}",
"startDate": "2024-01-08",
"endDate": "2024-01-17"
}
Exclude test sessions:
{
"deskIds": "{d2be0283-9b53-4d7b-b77d-2650f3a1a99c}",
"isTest": false,
"startDate": "2024-01-08",
"endDate": "2024-01-17"
}
Example response
{
"data": {
"rows": [
{
"agent_id": "1b28b8ba-c9de-42ac-94ad-564e0c6858c9",
"agent_name": "John Doe",
"brain_id": "a2wv9283-9b53-4d7b-b77d-2650f3a1a99c",
"brain_parent_id": "99xx33p9-dfab-44e5-9303-9b2bf13f1c94",
"version": 42,
"rating": 5,
"feedback": "Very helpful support!",
"is_test": false
},
{
"agent_id": null,
"agent_name": null,
"brain_id": "a2wv9283-9b53-4d7b-b77d-2650f3a1a99c",
"brain_parent_id": "99xx33p9-dfab-44e5-9303-9b2bf13f1c94",
"version": 42,
"rating": 3,
"feedback": "Could be faster",
"is_test": false
}
]
}
}