AI spend governance · by WitAura

Just got an AI bill you can’t explain?

Connect your OpenAI or Anthropic account and the platform does everything else — pulls your usage daily, audits it weekly, watches between audits and mails the statement. The audit is step one of taking control. No SDK, no proxy, nothing in your request path.

Start free — 1 audit, no card See how it connects

Token counts only — no prompt or completion text ever reaches us. See a sample report →

The TokenOps dashboard: a verified-savings headline over the audit pipeline — sample data from a seeded demonstration account

Verified savings $940.10/mo sample data

Waste share 19.8% sample data

Seeded demonstration account — labeled sample data

Deterministic math — no AI reads your logs
Counts-only ingestion
Verified-only headline

The problem

Waste hides in shapes invoices can’t show.

Your AI bill tells you what you spent. It cannot tell you which prompts were paid for twice, which routes ran a frontier model on trivial work, or which agent re-sent the same context a thousand times. The invoice is one number — the waste hides in the millions of calls underneath it. That is the layer this product reads.

79%

of enterprises overran their AI budgets last year

DoiT/Sapio Research, 2026

31%

average overspend — even on mature FinOps teams

Same survey

98%

of FinOps teams now manage AI spend

State of FinOps, 2026

How it works

Follow a dollar through the loop

Input
Connect your provider account — one read-only key, and we show you exactly where to click.
Analyze
Six deterministic detectors price every call — rules, not AI guesses.
Report
Findings ranked by dollars: why, the evidence, the fix, and how you’ll know it worked.
Act
Mark a fix applied; the next audit re-measures the route and only the verified difference joins your headline.
Prevent
Alerts watch between audits. They notify you — they never pause, cap or touch your traffic.

Connect once — the heavy lifting happens on our side

Claude Code, Codex, Cursor, LangChain agents — any tool running on your API keys shows up automatically in your provider's usage, so one connection covers all of them. No per-tool setup, ever.

OpenAI

One read-only usage key, made in the guided 3-step wizard. We pull usage daily and audit weekly — you never upload anything.

first audit free · weekly audits on Pro · revoking deletes the key

Anthropic

Same one-key setup. Your first pull and audit run the moment the key validates — numbers this session, not next week.

first audit free · weekly audits on Pro · revoking deletes the key

Not ready to connect?

Start with a free one-off audit instead: drop in a usage file — we show you exactly where to get it, click by click — and the full report lands the same way.

free · no card · analyzed then deleted

Six kinds of waste it prices, every audit

Missing prompt cachingThe same prefix paid for again and again.
Retry stormsNear-identical calls in bursts — one answer, billed repeatedly.
Oversized modelsFrontier models doing work a cheaper one handles.
Prompt bloatRoutes sending far more context than their answers use.
Unbounded output capsmax_tokens set to the moon; latency and reservations pay for it.
Chatty agent loopsMany tiny calls re-sending shared context where one would do.

The product

What you actually see

Real screens from a seeded demonstration account — labeled sample data, because unlabeled numbers would be a lie.

$1,365.20/mo identified across 4 findings — ranked by dollars, not severity labels.

The findings table: plain-language findings with severity, confidence and monthly impact — sample data

Exhibit B — the findings ledger · seeded demonstration account

The architecture

We run the architecture we audit you toward

TokenOps runs OUTSIDE your infrastructure: managed cloud reading official usage APIs — read-only in, findings out. Nothing installs in your VPC and nothing ever sits in your request path. That is a law of the product's scope, not a roadmap item.

Zero prompt text

The engine stores token counts, timestamps and hashes — never your prompts. There is no prompt text in the usage APIs we read, so there is none in our database either.

Read the privacy terms →

Zero trust required

Connections use read-only usage keys, encrypted on arrival. Revoking deletes the stored key — it is not just disabled.

How connections work →

Deterministic math

No AI reads your logs. The analysis is a rules engine with golden-file tests, so the same logs always produce the same dollars.

See it on the sample report →

Honest zeros

The headline only counts savings a later audit verified. Missing data degrades to zero — we never invent a number to look better.

The verification method →

Where this fits

	How it works	What it costs you
Cost dashboards	Integrate an SDK, tag your calls	Engineering time before the first number
Model routers	Pick a cheaper model per request	Solves one of the six kinds of waste
Gateways & proxies	Sit inside your request path	A new dependency in production
TokenOps	Audits the logs you already have	Nothing in your path — read-only, deletable

Our own audit

We pointed it at the AI agents that built it

67,095 calls · $8,757.75/mo API-equivalent · 32.5% estimated waste

Figures are API-equivalent token value; actual billing depends on your plan.

The full self-audit is the sample report →

Plans

Spending more than $500 a month on AI? Pro pays for itself. Less? Start free — we'll be here when your bill grows.

India pricing · Global pricing

Free

No card, ever

Connect a provider free — your first audit on us. Or drop in a usage file; we show you exactly where to get it. No card. Statements archived in-app; emailed when there's something to show.

Start free