checking…

Know what an AI agent is about to spend — before it spends it.

Every cost tool tells you what you already spent. This one prices the call first, states a ceiling it can be held to, and decides whether to allow it. Predict below, then fire the real call and see how close it was.

1 · Pick something to run

2 · What it should cost

Input tokens
—
Expected
—
most likely
Ceiling
—
Hard cap
—
if it maxes out

    3 · What it actually cost

    Predicted
    —
    Ceiling
    —
    Actual
    —
    Output tokens
    —

    Does the ceiling actually hold?

    Every real call run here is recorded and checked against its own ceiling. This is the running score — not a claim, a tally.

    Ceiling held
    —
    no real calls yet
    Real calls
    0
    by visitors like you
    Typical error
    —
    predicted vs actual

    The bound is calibrated by conformal prediction, so it needs history before it will promise anything — below nine real calls it says so rather than inventing a number. It tightens as data arrives without giving up coverage.

    Running agents in production?

    I'm researching how teams handle agent spend — particularly context that gets re-billed every turn. If that's a problem you recognise, I'd value 20 minutes. No pitch.

    Prefer to talk in the open? Join the Discord to share feedback.