> ## Documentation Index
> Fetch the complete documentation index at: https://docs.orq.ai/llms.txt
> Use this file to discover all available pages before exploring further.
# Custom analytics reports
> Create custom analytics dashboards with real-time model usage, cost breakdowns, latency distribution, and error rates. Filter by project and time.
The Reports section provides a complete, real time overview of model usage, performance, and cost across your workspace. With **Custom Reports**, you can combine off the shelf analytics views, apply filters, and build your own reporting dashboards that match your team’s goals.
## Overview
Reports are divided into several **clusters**, each focused on a specific aspect of your system’s performance. You can use the dropdown at the top of the page to select a report cluster and filter your view by **project** and **time range**.
Each report updates in real time, giving you immediate insight into how models and deployments are performing in production.
## Customizing Reports
You can build your own custom report by selecting and combining charts from different clusters. Use the **time range** and **project filters** to focus on the data that matters most to you.
For example:
* Compare total cost and latency trends over the past 30 days
* Analyze error rate distribution for specific deployments
* Examine which providers contribute most to overall usage and cost
Each visualization supports hover states, tooltips, and detailed metric breakdowns for deeper analysis.
## Key Metrics and Charts
Custom Reports provide visibility into key performance and cost metrics, including:
* **Cost breakdowns** across providers, models, and deployments
* **Latency distribution** to identify slow responses
* **Response time by model** for performance benchmarking
* **Error rates** and retry frequency
* **Request and token volume** across time and projects
These insights help teams identify bottlenecks, optimize spending, and track how improvements affect performance over time.
