> For the complete documentation index, see [llms.txt](https://docs.umbraco.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.umbraco.com/ai-in-umbraco/17.latest/management-api/analytics/timeseries.md).

# Time Series

Returns usage metrics grouped by time intervals for trend analysis.

## Request

```http
GET /umbraco/ai/management/api/v1/analytics/usage-time-series
```

### Query Parameters

| Parameter     | Type     | Required | Description                                                             |
| ------------- | -------- | -------- | ----------------------------------------------------------------------- |
| `from`        | datetime | Yes      | Start of period (inclusive)                                             |
| `to`          | datetime | Yes      | End of period (exclusive)                                               |
| `granularity` | string   | No       | Aggregation granularity: `Hourly` or `Daily` (auto-selected if omitted) |

## Response

### Success

{% code title="200 OK" %}

```json
[
    {
        "timestamp": "2024-01-01T00:00:00Z",
        "requestCount": 520,
        "totalTokens": 117000,
        "inputTokens": 85000,
        "outputTokens": 32000,
        "successCount": 515,
        "failureCount": 5
    },
    {
        "timestamp": "2024-01-02T00:00:00Z",
        "requestCount": 612,
        "totalTokens": 139000,
        "inputTokens": 98000,
        "outputTokens": 41000,
        "successCount": 608,
        "failureCount": 4
    }
]
```

{% endcode %}

## Examples

### Daily Usage for Last Week

{% code title="cURL" %}

```bash
curl -X GET "https://your-site.com/umbraco/ai/management/api/v1/analytics/usage-time-series?from=2024-01-18T00:00:00Z&to=2024-01-25T23:59:59Z&granularity=Daily" \
  -H "Authorization: Bearer YOUR_ACCESS_TOKEN"
```

{% endcode %}

### Hourly Usage for Today

{% code title="cURL" %}

```bash
curl -X GET "https://your-site.com/umbraco/ai/management/api/v1/analytics/usage-time-series?from=2024-01-25T00:00:00Z&to=2024-01-25T23:59:59Z&granularity=Hourly" \
  -H "Authorization: Bearer YOUR_ACCESS_TOKEN"
```

{% endcode %}

{% code title="C#" %}

```csharp
var from = DateTime.UtcNow.Date.AddDays(-7);
var to = DateTime.UtcNow;

var response = await httpClient.GetAsync(
    $"/umbraco/ai/management/api/v1/analytics/usage-time-series?from={from:O}&to={to:O}&granularity=Daily");

var timeSeries = await response.Content.ReadFromJsonAsync<UsageTimeSeriesPointModel[]>();

foreach (var point in timeSeries)
{
    Console.WriteLine($"{point.Timestamp:d}: {point.RequestCount} requests, {point.TotalTokens:N0} tokens");
}
```

{% endcode %}

## Response Properties

### Time Series Point

| Property       | Type     | Description                         |
| -------------- | -------- | ----------------------------------- |
| `timestamp`    | datetime | Start of the time interval          |
| `requestCount` | int      | Number of requests in this interval |
| `totalTokens`  | long     | Total tokens in this interval       |
| `inputTokens`  | long     | Input tokens in this interval       |
| `outputTokens` | long     | Output tokens in this interval      |
| `successCount` | int      | Successful requests                 |
| `failureCount` | int      | Failed requests                     |

## Granularity Options

| Value    | Description      | Best For         |
| -------- | ---------------- | ---------------- |
| `Hourly` | Hourly intervals | Last 24-48 hours |
| `Daily`  | Daily intervals  | Last 7-30 days   |

{% hint style="info" %}
If `granularity` is omitted, it is auto-selected based on the date range. Large date ranges with `Hourly` granularity produce many data points.
{% endhint %}


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://docs.umbraco.com/ai-in-umbraco/17.latest/management-api/analytics/timeseries.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.