> ## Documentation Index
> Fetch the complete documentation index at: https://docs.athina.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Analytics and Insights

<video autoplay controls muted loop playsinline className="w-full aspect-video" src="https://info.athina.ai/videos/performance-metrics.mp4" />

In addition to running evals, Athina provides advanced analytics and monitoring.

It allows you to track usage patterns, monitor conversations, and gain insights from the data generated by your models.

By leveraging these features, you can make data-driven decisions, optimize your models, and improve the overall user experience.

### Logging Metrics[](#overview)

Inference analytics jobs will run once per day.

We store data at the `daily` level, so we have granular "per-day" analytics, but not per-hour.

You can filter inference analytics by the following fields to explore usage for specific segments:

* `date`
* `environment`
* `prompt_slug`
* `customer_id`
* `topic`
* `language_model_id`

You can explore your analytics in the [Analytics Dashboard ](https://app.athina.ai/analytics) page or on the [Observe ](https://app.athina.ai/observe) page

### View evaluation metrics

Evaluation analytics jobs run every hour.

You can filter evaluation analytics by the following fields to explore performance for specific segments:

* `environment`
* `prompt_slug`
* `customer_id`
* `topic`
* `language_model_id`

Currently, you can view the following evaluation metrics for each configured evaluation:

* avg. evaluation score per day
* percentile distributions of eval metrics

Head to your [Analytics dashboard](https://app.athina.ai/analytics) to view your model's evaluation metrics.