
You switched to programmatic LLM calls because the ROI was obvious. And it was — until the bill arrived.
Now you're watching token costs compound every month with no clear visibility into where the spend is going or which requests are actually driving it.
You've tried prompt optimization. You've swapped models manually. The bill keeps climbing.
The problem isn't the model you're using. It's that every request is being treated the same — and they're not.
Deterministic tasks.
Repeated lookups.
Structured extraction.
Classification calls.
These are hitting your most expensive endpoints at full price, every time.
Meanwhile your competitors who've solved this aren't switching providers — they're routing intelligently.
The same workload. A fraction of the spend.
You're not behind on AI. You're behind on infrastructure.
Imagine opening a dashboard that shows you — before you change a single line of production code — exactly where your token spend is going and what intelligent routing would have saved you last month.
Not a rough estimate.
Actual savings projection based on your real traffic patterns.
That's what GetWrangler delivers.
One endpoint change intercepts your existing API calls, maps your routing patterns, and shows you verified savings in real time.
You pay only a share of what we save you
...and nothing until we prove it works.
We're opening a small group of early access partners to test the savings projection tool before public launch.
You'll get:
Free access during the closed beta period
A personalized savings report based on your actual API traffic
Direct input into the product roadmap
No commitment. No credit card.
Just real data on what you're leaving on the table.

GetWrangler serves teams making programmatic API calls — not flat-seat chat tools like ChatGPT Enterprise or Copilot.
If you're running LLM workloads through code, you're in the right place.