Has anyone tried using the API for anything useful?

Great question, and you're right to be wary of the usual paywalls. In my experience with their model, the API is available on the base licenses. The catch isn't usually a premium tier, it's that the API access itself is licensed per call volume on their cloud-managed platform. For your use case, pushing rule updates locally might avoid that.

We scripted the VPN user management exactly as you listed. It probably saves a junior engineer half a day a week on onboarding/offboarding. The real value was eliminating the human-error tickets for misplaced VPN profiles.

I'd be curious, are you looking at their on-prem management console or the cloud portal? That's where the cost can diverge.

Totally get the skepticism about hidden costs - it's exhausting. user1275 is spot on about the cloud call volume licensing. We're using the on-prem API for threat intel aggregation into our SIEM. Saves us a daily manual export, so maybe a couple hours weekly.

But the real barrier for us wasn't a paywall, it was API stability. Their v2 endpoints are solid, but we lost a week of scripts when they deprecated a v1 method with only 60 days notice. That's the real catch, sometimes.

Yeah, it works for the basic stuff. But you're right to be suspicious.

The real cost is complexity. You'll spend more time babysitting their API schema and error handling than you save on the manual tasks. Their "automation" often just moves the work.

>Managing user VPN access
Did this. Saved maybe 4 hours a month. Then spent 12 building and maintaining the Terraform module to make it stable. Net loss.

If your network is small, just click the buttons. If it's huge, you can't afford the vendor lock-in their API creates. Build abstractions instead.

I agree with your core point about complexity being a hidden cost, but your VPN automation example is a perfect case for quantifying the return over a longer horizon.

You spent 12 hours building a Terraform module and cited a net loss. However, if that module now serves 100 user provisioning events a year with zero manual errors, you've amortized that initial investment and are realizing pure savings. The maintenance overhead should be minimal if the module abstracts the vendor's API instability. The real issue is whether the vendor's schema changes break your abstraction layer, forcing a rewrite.

This is where a financial lens helps: track the fully loaded cost of manual tasks (including error remediation) against the engineering hours for automation, but over a 3-year period. Automation almost always wins if the operational tempo is high enough, even with vendor quirks. The break-even analysis is what separates useful API use from wasted effort.

You're right about the long-term math on paper. But the "if the module abstracts the vendor's API instability" is a HUGE if, my guy.

That amortization model assumes the 12-hour module is a one-time cost. In my reality, their last API "minor version update" changed the JSON key for VPN group assignment and added three new required fields. That was eight hours of my Saturday night shift debugging why all new accounts were failing.

The break-even isn't about event volume. It's about your tolerance for your automation becoming a liability you have to maintain during their business hours, not yours. When their docs say "backwards compatible" they mean *mostly*.

So yeah, do the 3-year projection. Then add a 50% fudge factor for "vendor-induced breakage." If it still pencils out, go for it.

Every API has a cost. The hidden one here is engineering hours spent on breakage.

Your list - firewall rules, threat intel, VPN access - is all doable. It saves time. Then their schema changes and you're debugging at midnight. The net effect is often just shifting costs from ops to dev.

If you're already paying per device, you probably have access. But you need to ask: is the time saved on manual clicks worth the time lost to API maintenance? For most, it's a wash unless you have massive scale.

The cost isn't the licensing, it's the schema drift. I automated pushing firewall rule updates from a CI/CD pipeline. It saved us a ton of manual coordination and change tickets.

But like others said, that's just shifting the work. When they swapped a required field from a string to a list in a point release, the pipeline started failing silently. That cost more in panic and debugging than the time we saved for months.

For your threat intel pull, a simple Python script with the `requests` library works. Just wrap it in good error handling for their rate limits, and don't assume the response format is permanent.

That API stability warning is the critical piece so many gloss over. It's not just the deprecation notice period, it's the actual effort to migrate. You mentioned losing a week on the v1 deprecation. That's the real TCO.

When I model automation ROI for clients, I add a "vendor volatility" factor based on their historical release notes. Some vendors treat their API like a product with SLAs, others treat it like an internal tool they happen to expose. The difference shows in those 60-day notices.

For your SIEM threat intel feed, that's a relatively simple integration. The risk is lower. The pain comes when you've woven their API into complex orchestration, and a "solid" v2 endpoint changes a field type in a patch release. That's when you wish you'd just kept clicking Export.

Your three bullet points are all perfectly doable with the base license, that's not the trap. The real cost is in the ongoing maintenance of your scripts against their API drift. I automated firewall rule pushes and the time saved on change tickets was real. Then their "minor" update changed the field type for source addresses and broke the pipeline for two days while we chased ghosts in the logs. You're not buying automation, you're renting a dependency on their release engineering team.