| dbt-models | 5.5 kg | 59% |
| data-pipeline | 3.9 kg | 41% |
| ml-experiments | 42 g | 0% |
saves ~€269 vs the same usage at API rates
1.8% of the org's emissions · 9.4 kg
No Opus overuse to correct.
Usage volume and pace: tokens per session and generation ratio. The model mix is in the donut above.
When this member runs Claude Code. Activity outside 8:00–20:00 on weekdays, or at weekends, gets an orange border. Out-of-hours sessions over 30 d: 0, including 3 at weekends.
| Started | Project | Model | Tokens (in + out) | CO₂ | Source |
|---|---|---|---|---|---|
| 14 Sept 2026, 08:36 | data-pipeline | opus | 635 | 1 g | CLI |
| 09 Sept 2026, 15:31 | data-pipeline | opus | 7,599 | 8 g | CLI |
This demo runs on sample data. We set this dashboard up on your real data during the engagement, with a monthly review of the figures.
Book 30 minutes →| 09 Sept 2026, 15:01 |
| data-pipeline |
| opus |
| 10,975 |
| 12 g |
| CLI |
| 08 Sept 2026, 15:43 | data-pipeline | opus | 8,946 | 8 g | CLI |