Usage Analytics
FreshSource: docs.hindsight.vectorize.io/usage-analytics
Dashboard
Navigate to Organization > Usage to access real-time monitoring.
Time Periods
| Period | Resolution | Use Case |
|---|---|---|
| 24 Hours | Hourly | Recent activity, debugging |
| 7 Days | Daily | Weekly patterns |
| 30 Days | Daily | Monthly trends |
Dashboard auto-refreshes every 30 seconds.
Summary Cards
| Metric | Color | Description |
|---|---|---|
| Total Tokens | — | Combined usage |
| Retain Tokens | Blue | Memory storage |
| Recall Tokens | Green | Memory retrieval |
| Reflect Tokens | Purple | AI insights |
| Retrieve Model | Teal | Mental model GET |
| Refresh Model | Orange | Mental model create/refresh |
| File Conversion (Iris) | Red | Enhanced extraction |
Optimization Strategies
Retain: Batch multiple memories, avoid redundancy, use efficient text formats
Recall: Use targeted queries, apply type filters, cache frequent results
Reflect: Clear questions, limit context, reuse insights
Mental Models: Prefer retrieval (cheap) over refresh (runs Reflect internally)
File Conversion: Use Standard (free) for text documents; reserve Enhanced (Iris) for images and scanned PDFs
Reference
- 1 million tokens is approximately 750,000 words
- Average word consumes 1-2 tokens
- Real-time accuracy within minutes