Open source · local first ↗

Know what your AI agents cost. Know what to do next.

aibill connects coding-agent work to cost evidence, attribution, and one next action. Today's beta runs privately on your machine; the shared company accountability layer comes next.

Reads the tools you already use

Claude CodeCodexOpenAI billingAnthropic billing

Local by default

Raw transcripts stay on-device.

Source linked

Every number names its origin.

Honest gaps

Missing data stays missing.

One contract

CLI, Glance, and MCP agree.

One bill. Three ways to use it.

Each surface keeps the same evidence rules: source, freshness, billing class, and missing data stay explicit.

Stay in flow

See risk before it interrupts you.

Hover at the menu bar for spend, runway, focus, freshness, and one next action.

Current session · estimated API-equivalent value

$4.18

Codex · GPT-5.6

agent-finops

ChatGPT Pro · detected locally · API value ≠ added spend

active · 42m
5-hour limit29% left

Local estimate · Exhausts ~1hCodex reported · Resets in 2h

Weekly limit57% left

Local estimate · Below capCodex reported · Resets Monday

Main focus · 7d · local activity

Refining Glance hover UITask · agent-finops · GlanceView.swift
68%activity
Start fresh · agent-finopsCarry “Refining Glance hover UI” into a clean session
Copy

Local: Claude Code + Codex · 60 files · nothing uploaded

Updated 12s ago
Product concept · sample dataLive Glance never guesses a missing limit.

Glance and Ask aibill share one illustrative receipt. Terminal replays the real CLI with deterministic sample data. Estimated value, provider-reported cost, detected plans, and missing limits remain visibly separate.

The accountability gap

Financial accountability starts with four questions.

Today's beta answers only what local and provider evidence can support. Company-wide reconciliation, accepted outcomes, approvals, and ROI stay explicitly next.

Available now

What work is driving our AI bill?

01

Attribute observed activity and cost evidence by project, model, agent, workspace, user, or client—only where the source exposes it.

Partial

Who owns it—and did it produce an accepted outcome?

02

Observed ownership is available where supported. Accepted-task and pull-request receipts are the next open contract.

Partial

Which subscriptions and provider charges never reach finance?

03

Local plan context and optional provider reports are available now. A centralized seat and invoice ledger is Workspace next.

Partial · controls next

What changed, what needs approval, and did the action work?

04

The beta surfaces anomalies and one bounded recommendation. Shared approvals and verified results come with Workspace.

Design partners

Build the financial accountability system with us.

The planned Workspace will connect agent work to costs, owners, accepted outcomes, budgets, approvals, and verified results—so engineering and finance can act from the same evidence.

Includes onboarding, two weeks of real use, and one short follow-up.

Workspace is not launched. Local mode stays free and private.

The short answers

Is API-equivalent value my bill?

No. It is comparison math based on published API rates. aibill keeps that separate from detected subscription context and optional provider-reported cost; final invoices may still include credits, discounts, tax, or adjustments.

What leaves my computer?

The default CLI and Glance run locally with no account or telemetry. Provider credentials are used only when you explicitly connect an official billing API, and MCP results go only to the AI client you invoke under that client’s data policy.

What can I use today?

The local CLI and explicit MCP integration are in public beta. Glance can be built from source for testing; a signed Mac download and the shared Workspace are not launched yet.

Can finance use aibill to prove ROI?

Not from spend evidence alone. The beta establishes cost, activity, attribution, and coverage. Defensible ROI requires reconciled cost, an accepted outcome, and independently evidenced business value; those outcome and company-accountability layers are next.