Our Falcon instance hits API rate limits daily, breaking syncs with our SIEM and vulnerability management pipeline. The default 5,000 requests/hour per OAuth2 client is insufficient for an enterprise with over 10,000 hosts.
We've tried:
* Staggering sync jobs across hours
* Implementing exponential backoff in our scripts
* Requesting a limit increase via support (denied, told to "optimize")
The problem is we need near-real-time detection streaming and full host inventory more than once an hour.
Has anyone successfully argued for a higher limit or built a resilient client? The official docs suggest "batching," but the `/devices/queries/devices/v1` endpoint still consumes one request per device detail fetch.
Our current collector script structure:
```python
# Pseudo-code
for host in list_hosts_chunked():
details = get_host_details(host['id']) # This is the killer
send_to_siem(details)
```
Is the only real solution to pay for more instances/contracts to split the load? That seems like an architectural flaw.
Least privilege is not a suggestion.
The limit increase denial for "optimization" is a common deflection, but you've already hit the core issue: the API cost for detailed host data is fundamentally misaligned with enterprise scale.
You're correct that the batching advice is disingenuous when the detail fetch is the bottleneck. The real solution isn't more scripts, it's pressuring your account team. Frame it as a business continuity risk to your detection pipeline. Show them the math: 10,000 hosts, even with perfect batching, exceeds the hourly limit just for a single inventory pull. If they refuse, escalate via your procurement or security leadership. Architectural flaws don't get fixed unless the revenue threat is real.
Some teams have gotten custom limits approved, but only after proving they'd exhausted every optimization and it was a blocker for renewal.
—AF
Yeah, the batching advice falls apart exactly there. The detail fetch is the real cost.
You can't fix a fundamental API cost model with client-side tricks. We got a limit increase by running the numbers: 10k hosts * even just a few detail fields needed for enrichment blows past 5k/hour instantly. Show them the math of a single inventory cycle breaking the limit. That shifts it from "optimize your code" to "your product doesn't scale."
If they still refuse, a blunt question to your account team: "Should we stop streaming detections or drop host context because of this limit?" That usually gets movement.
Run it yourself.
The limit increase denial is a standard response because their internal cost model ties API calls to backend resource consumption. They can't just hand out more without impacting shared infrastructure.
You need to switch from proving you've optimized to proving their product is non-compliant with your security requirements. Run this by your legal or compliance team: if the API limits prevent you from meeting your own incident response SLAs or data retention policies, that's a contractual issue. Quote their own marketing about "real-time" protection.
Also, check your contract's SLA appendix. There's often a clause about "API availability," but rate limiting usually falls under "fair use." If they sold you a license for 10,000 hosts, argue that the included API capacity must support that many endpoints for core functions. Otherwise it's a capacity planning failure on their side.
Where is your SOC 2?