# sendings_events_history (timeseries)
| Required permit | Rate limit tokens cost | Available intervals |
| --- | --- | --- |
| Reporting:Api:Report:SendingsEventsHistory | 3 | 5m, 1h, 1d, 1w, 1mo |
This report allows you to get events which are produced during sending.
This report includes events which are common for each available channel.
## Fields
### loyalty_club_id
| Type | Filterable |
| --- | --- |
| Integer | (via `X-Customer` header) |
ID of loyalty club.
### sending_id
| Type | Filterable |
| --- | --- |
| Integer | |
Internal ID of sending.
### event_type
| Type | Filterable |
| --- | --- |
| Enum | |
Type of sendings event.
This field is an enum, possible values are:
* new
* transmitted
* transiently_failed
* delivered
* opened
* opened_event
* failed
* delivery_errored
### service_type
| Type | Filterable |
| --- | --- |
| Enum | Depends on aggregation |
Sending's service_type.
### campaign_id
| Type | Filterable |
| --- | --- |
| Integer | Depends on aggregation |
ID of campaign to which sending was scheduled.
### channel
| Type | Filterable |
| --- | --- |
| Enum | Depends on aggregation |
Sending's channel.
This field is an enum, possible values are:
* sms
* email
* push
### reporting_id
| Type | Filterable |
| --- | --- |
| Integer | Depends on aggregation |
Sending's reporting_id. This field can be used to attribute reported sending to its source.
## Query without aggregations
Query returns series with sending events labeled by `event_type`.
### Labels
| Key | Type | Description |
| --- | --- | --- |
| event_type | Enum | See in `Fields` |
```json
{
"interval": "5m",
"range_timezone": "Europe/Oslo",
"time_buckets": [
"2025-08-27T09:25:00.000+02:00",
"2025-08-27T09:30:00.000+02:00",
"2025-08-27T09:35:00.000+02:00",
"2025-08-27T09:40:00.000+02:00",
"2025-08-27T09:45:00.000+02:00",
"2025-08-27T09:50:00.000+02:00",
"2025-08-27T09:55:00.000+02:00",
"2025-08-27T10:00:00.000+02:00",
"2025-08-27T10:05:00.000+02:00",
"2025-08-27T10:10:00.000+02:00",
"2025-08-27T10:15:00.000+02:00",
"2025-08-27T10:20:00.000+02:00",
"2025-08-27T10:25:00.000+02:00",
"2025-08-27T10:30:00.000+02:00",
"2025-08-27T10:35:00.000+02:00",
"2025-08-27T10:40:00.000+02:00",
"2025-08-27T10:45:00.000+02:00",
"2025-08-27T10:50:00.000+02:00",
"2025-08-27T10:55:00.000+02:00",
"2025-08-27T11:00:00.000+02:00",
"2025-08-27T11:05:00.000+02:00",
"2025-08-27T11:10:00.000+02:00",
"2025-08-27T11:15:00.000+02:00",
"2025-08-27T11:20:00.000+02:00",
"2025-08-27T11:25:00.000+02:00",
"2025-08-27T11:30:00.000+02:00",
"2025-08-27T11:35:00.000+02:00",
"2025-08-27T11:40:00.000+02:00",
"2025-08-27T11:45:00.000+02:00",
"2025-08-27T11:50:00.000+02:00",
"2025-08-27T11:55:00.000+02:00",
"2025-08-27T12:00:00.000+02:00",
"2025-08-27T12:05:00.000+02:00",
"2025-08-27T12:10:00.000+02:00",
"2025-08-27T12:15:00.000+02:00",
"2025-08-27T12:20:00.000+02:00",
"2025-08-27T12:25:00.000+02:00",
"2025-08-27T12:30:00.000+02:00",
"2025-08-27T12:35:00.000+02:00",
"2025-08-27T12:40:00.000+02:00",
"2025-08-27T12:45:00.000+02:00",
"2025-08-27T12:50:00.000+02:00",
"2025-08-27T12:55:00.000+02:00",
"2025-08-27T13:00:00.000+02:00",
"2025-08-27T13:05:00.000+02:00",
"2025-08-27T13:10:00.000+02:00",
"2025-08-27T13:15:00.000+02:00",
"2025-08-27T13:20:00.000+02:00",
"2025-08-27T13:25:00.000+02:00",
"2025-08-27T13:30:00.000+02:00",
"2025-08-27T13:35:00.000+02:00",
"2025-08-27T13:40:00.000+02:00",
"2025-08-27T13:45:00.000+02:00",
"2025-08-27T13:50:00.000+02:00",
"2025-08-27T13:55:00.000+02:00",
"2025-08-27T14:00:00.000+02:00",
"2025-08-27T14:05:00.000+02:00",
"2025-08-27T14:10:00.000+02:00",
"2025-08-27T14:15:00.000+02:00",
"2025-08-27T14:20:00.000+02:00",
"2025-08-27T14:25:00.000+02:00",
"2025-08-27T14:30:00.000+02:00",
"2025-08-27T14:35:00.000+02:00",
"2025-08-27T14:40:00.000+02:00",
"2025-08-27T14:45:00.000+02:00",
"2025-08-27T14:50:00.000+02:00",
"2025-08-27T14:55:00.000+02:00",
"2025-08-27T15:00:00.000+02:00",
"2025-08-27T15:05:00.000+02:00",
"2025-08-27T15:10:00.000+02:00",
"2025-08-27T15:15:00.000+02:00",
"2025-08-27T15:20:00.000+02:00"
],
"series": [
{
"label": {
"event_type": "new"
},
"values": [
3,
2,
10,
5,
4,
2,
5,
null,
20,
5,
5,
7,
11,
8,
3,
4,
7,
8,
4,
8,
2,
7,
9,
19,
9,
3,
16,
null,
2,
2,
8,
null,
26,
9,
1,
2,
2,
5,
3,
8,
6,
16,
10,
2,
null,
5,
8,
null,
2,
1,
1,
8,
9,
12,
6,
1,
1,
6,
12,
3,
9,
3,
5,
3,
14,
7,
2,
7,
6,
7,
2,
null
]
},
],
"data_points": 259,
"result_type": "timeseries"
}
```
## Aggregations
### service_type
#### Labels
| Key | Type | Description |
| --- | --- | --- |
| service_type | Enum | See in `Fields` |
| event_type | Enum | See in `Fields` |
:::note
There is also `total_service_type` aggregation which works the same way but removes loyalty_club_id from series when working on cross-customer data.
:::
### campaign_id
#### Labels
| Key | Type | Description |
| --- | --- | --- |
| campaign_id | Integer | See in `Fields` |
| event_type | Enum | See in `Fields` |
:::note
There is also `total_campaign_id` aggregation which works the same way but removes loyalty_club_id from series when working on cross-customer data.
:::
### channel
#### Labels
| Key | Type | Description |
| --- | --- | --- |
| channel | Enum | See in `Fields` |
| event_type | Enum | See in `Fields` |
:::note
There is also `total_channel` aggregation which works the same way but removes loyalty_club_id from series when working on cross-customer data.
:::
### reporting_id
#### Labels
| Key | Type | Description |
| --- | --- | --- |
| reporting_id | Integer | See in `Fields` |
| event_type | Enum | See in `Fields` |
:::note
There is also `total_reporting_id` aggregation which works the same way but removes loyalty_club_id from series when working on cross-customer data.
:::