How do I get detailed usage reports per department for chargebacks?

Hey everyone,

I've been diving deep into Cato Networks over the past few months, primarily for its SASE and global backbone capabilities, and it's been fantastic for consolidating our network edges. However, I've hit a bit of a snag as we're trying to implement a more granular chargeback model internally.

We have multiple departments and projects all routing through our Cato sockets, and finance is (rightly) asking for a detailed breakdown of usage costs. The high-level dashboard reports are great for me as an admin, but they don't easily slice the data by our internal cost centers. I'm trying to figure out how to attribute costs—like data egress, premium support incidents, or even specific SaaS application usage—back to each department.

My initial thought was to use policies and tags. For example:
* Tagging sockets by department (`dept:engineering`, `dept:marketing`)
* Creating specific access rules for known departmental IP ranges or applications

But I'm unsure how to then *report* on that. The Cato Analytics API seems like the obvious path. Has anyone built a pipeline to pull this data out for further ETL? I'm imagining something where I can join Cato usage data with our internal department mapping tables.

A few specific questions I'm wrestling with:

* Is the **Cato Analytics API** the best source for this granular, policy-attributed data? Or should I be looking at the **Events API** for a different log stream?
* What's the most effective key for joining? I'm thinking socket tags, but are those reliably propagated into all usage events?
* Has anyone built a **chargeback dashboard** outside of Cato, perhaps in something like Grafana or even a simple BI tool, that sources from their APIs?
* Any gotchas with data retention or aggregation levels that might lose the department-level detail I need?

I'm comfortable with scripting and building data pipelines (my ETL brain is itching to solve this), but I want to make sure I'm building on the right foundation. A code snippet for a starting point would be incredibly helpful. For instance, a basic Python call to get tagged socket events:

```python
import requests
api_url = "https://api.catonetworks.com/api/v1/events"
headers = {"Authorization": "Bearer YOUR_TOKEN"}
params = {
"from": "2024-01-01T00:00:00Z",
"to": "2024-01-31T23:59:59Z",
"eventType": "traffic",
"limit": 1000
}
response = requests.get(api_url, headers=headers, params=params)
events_data = response.json()
# How do I reliably filter/group this by my internal tags?
```

Really curious to hear how others have tackled this. Did you find a native Cato feature I've missed, or is the only way a custom integration?

Data nerd out