Platform stats
What tokenstat has measured
Totals across every account that syncs: tokens, list-rate value, cache share, and how many models showed up. Nothing here is about any one person. No handles, no machines, no projects, no per-day detail. Just how much the platform has counted so far.
A young product and a small number. Published as-is, not dressed up.
Where the tokens went
Cache reads dominate the token count and barely register in the money column. That gap is the single most under-appreciated thing about running AI coding harnesses, and it is why a raw token number on its own tells you almost nothing.
What it would have cost
None of these are anyone's bill. They are usage measured at published rates, whether or not a subscription already covered it. The point is the scale of the work, not what anybody was charged.
Volume by month
Every month the platform has recorded anything in, scaled against its busiest. A short bar is a quiet month, not a missing one.