Counts per AI agent
Overview
The counts_per_brain function provides aggregate counts grouped by AI agent. Use this endpoint to:
- Compare session volumes across AI agents
- Track message and user counts per AI agent
- Monitor AI agent activity and last usage
Quick start
query CountsPerBrain(
$accountId: uuid
$deskIds: _uuid
$brainIds: _uuid
$integrationIds: _uuid
$brainVersions: _int4
$channels: _text
$tags: _text
$startDate: timestamp
$endDate: timestamp
$isTest: Boolean
$minNumUserMessages: Int
) {
rows: counts_per_brain(
args: {
account_id: $accountId
start_time: $startDate
end_time: $endDate
brain_parent_ids: $brainIds
desk_ids: $deskIds
integration_ids: $integrationIds
brain_versions: $brainVersions
channels: $channels
tags: $tags
is_test: $isTest
min_num_user_messages: $minNumUserMessages
}
) {
brain_parent_id: id
num_requests
num_sessions
num_users
last_used
}
}
Variables:
{
"accountId": "991c12a1-cc58-4377-8e37-f72259e9dac1",
"startDate": "2024-01-08",
"endDate": "2024-01-17"
}
Try it
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Parameters
| Parameter | Type | Description |
|---|---|---|
accountId | uuid | Account identifier |
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 |
channels | _text | Filter by channels |
tags | _text | Filter by session tags |
startDate | timestamp | Start date (format: yyyy-mm-dd) |
endDate | timestamp | End date (format: yyyy-mm-dd) |
isTest | Boolean | Exclude test sessions |
minNumUserMessages | Int | Minimum user messages in session |
Response fields
| Field | Type | Description |
|---|---|---|
brain_parent_id | uuid | AI agent identifier |
num_requests | Int | Total number of user messages |
num_sessions | Int | Total number of sessions |
num_users | Int | Total number of unique users |
last_used | timestamp | Timestamp of last activity |
Common use cases
- Account totals
- Multiple AI agents
- Filter by tags
- AI agents and tags
Get counts for all AI agents in an account:
{
"accountId": "991c12a1-cc58-4377-8e37-f72259e9dac1",
"startDate": "2024-01-08",
"endDate": "2024-01-17"
}
Get counts for specific AI agents:
{
"accountId": "991c12a1-cc58-4377-8e37-f72259e9dac1",
"brainIds": "{a2wv9283-9b53-4d7b-b77d-2650f3a1a99c, 99xx33p9-dfab-44e5-9303-9b2bf13f1c94}",
"startDate": "2024-01-08",
"endDate": "2024-01-17"
}
Filter by session tags:
{
"accountId": "991c12a1-cc58-4377-8e37-f72259e9dac1",
"tags": "{vip-user, return-order}",
"startDate": "2024-01-08",
"endDate": "2024-01-17"
}
Combine AI agent and tag filters:
{
"accountId": "991c12a1-cc58-4377-8e37-f72259e9dac1",
"brainIds": "{a2wv9283-9b53-4d7b-b77d-2650f3a1a99c}",
"tags": "{vip-user, return-order}",
"startDate": "2024-01-08",
"endDate": "2024-01-17"
}
Example response
{
"data": {
"rows": [
{
"brain_parent_id": "a2wv9283-9b53-4d7b-b77d-2650f3a1a99c",
"num_requests": 309,
"num_sessions": 309,
"num_users": 309,
"last_used": "2024-01-12T15:09:18.58"
},
{
"brain_parent_id": "99xx33p9-dfab-44e5-9303-9b2bf13f1c94",
"num_requests": 1564,
"num_sessions": 448,
"num_users": 448,
"last_used": "2024-01-12T16:00:33.701"
}
]
}
}