I got tired of “our OpenAI/Claude bill spiked” and having no idea why.
So I built Tokenbar: it shows tokens + $ cost broken down by the things you actually care about:
endpoint / route
customer (user/org)
model
day-over-day changes (what got more expensive)
If you’ve ever shipped with LLM APIs and your spend felt random, this is the missing visibility.
Link: https://tokenbar.site
If anyone here is actively using LLMs in prod: what do you use today to track cost per endpoint/customer (or do you just wait for the invoice)?
The 'invisible until it's a crisis' pattern hits a very specific kind of pain — and you're right that most people just wait for the invoice.
The flip side of this problem exists on the revenue side too: subscription founders don't discover their payment failure rate until they go looking for it. Stripe sends a webhook, retries the card a few times, and if nothing works, the subscription just... stops. No alert, no aggregated view, no 'you lost 40 this month from declined cards.'
They're symmetric problems: untracked costs that spike without warning, and untracked revenue leaks that drain silently. Both require the same fix — a dedicated visibility layer on top of the platform.
Building RecoverKit for the revenue leak side. Good luck with Tokenbar.