Cost

Cost per request, per customer, per token — billed, never guessed.

Real billed dollars from your providers on the same graph as the services and models that spent them — so a spend spike points at the thing that caused it.

What you get

Most cost tools estimate from a price list and stop at a dashboard. ByteShift ingests billed spend and puts it on the graph, so cost is a first-class signal in the incident — not a separate report you reconcile at month-end.

Billed

Real dollars, labeled by how we know them

A FOCUS-shaped ledger of billed spend from DigitalOcean, Vercel, AWS, and Anthropic. Billed, self-reported, or rate-derived — always labeled, never dressed up as certainty we don’t have.

Attribution

Spend on the entity that spent it

Cost lands on the same graph as your services, models, and customers — so cost per request, per model, per customer is a question you can answer, anchored to real usage.

Incidents

A cost spike joins the incident it belongs to

A retry storm that triples your token bill doesn’t just move a chart — it joins the incident along the same path, so the +$412/day and its root cause read as one story.

One graph underneath

Spend is a symptom. ByteShift shows the cause.

When cost lives on the same graph as everything else, a bill spike stops being a mystery you untangle at month-end. The retry storm, the stale table that triggered it, and the dollars it burned are one incident.

And because the ledger restates as invoices finalize, the number you saw last night reconciles to the number you’re billed — no phantom precision.

Connect a provider, see billed spend.

Paste a token or connect over OAuth and your billed spend flows onto the graph — attributed, not estimated.