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

# Usage & Credits

> Track credit consumption across your team and projects.

The **Usage** tab in team settings shows how your team consumes credits, with breakdowns by project and a full transaction history. For an overview of how the credit system works, see [How Credits Work](/docs/how-credits-work).

## Credit Overview

The top of the page shows your current usage against your allowance:

* **Credits Used** / **Allowance** (e.g., `1,250 / 10,000` or `1,250 / Unlimited`)
* A visual **progress bar** showing scheduled (reserved) usage
* **Warning indicators** when projected usage approaches your limit

The sidebar also includes a compact credit indicator so you can check your usage at a glance from any page.

## Usage History

The first tab shows a detailed log of every credit transaction.

| Column      | Shows                          |
| ----------- | ------------------------------ |
| Date        | When the transaction occurred  |
| Project     | Which project (clickable link) |
| Credits     | Amount consumed                |
| Description | Transaction details            |

**Filter by type** using the dropdown:

* **All Types** — everything
* **Credits Used** — credits consumed by data collection runs
* **Insufficient Funds** — events where a run couldn't start due to insufficient credits

## Project Usage

The second tab breaks down credit consumption by project.

### Scheduled

Projects with automated scheduling (Daily or Weekly).

| Column      | Shows                                    |
| ----------- | ---------------------------------------- |
| Project     | Name (clickable) with schedule frequency |
| Prompts     | Number of active prompts                 |
| Services    | Number of active AI services             |
| Credits/Run | Cost per single data collection run      |
| Reserved    | Credits reserved for the month           |

<Note>
  Pitch projects never appear here — they use no credits.
</Note>

## Understanding Costs

Each data collection run consumes credits based on:

1. **Number of active prompts** in the project
2. **Number of active AI services** enabled
3. These multiply together: more prompts and services = more credits per run

To estimate monthly costs for a scheduled project:

* Find **Credits/Run** in the Project Usage tab
* Multiply by the frequency multiplier (Daily = 30, Weekly = 5)

For a detailed explanation, see [How Credits Work](/docs/how-credits-work).

## Tips

* Check usage weekly to avoid surprises
* Use the Project Usage tab to identify which projects are most expensive
* Reduce costs by disabling unused services or removing low-value prompts
* Set the team's **Maximum Schedule Frequency** in [Team Settings](/docs/team-settings) to control consumption
* If you see an **Insufficient Funds** event, request a new run after credits are replenished