Product·Analytics

Know exactly what
your agents burn.

Spend and tokens by repo, by provider, by model, and by day. It's the receipt no metered dashboard gives you.

spend over time
Claude Codex Antigravity Cursor Grok Z.ai
7d30d
$20 $40
01 · By repo

Which repo is burning your tokens.

Every event carries a working directory, so Continuum canonicalizes it back to a repo - through worktrees, through Conductor branches - and rolls spend up per project. One glance tells you where the tokens actually went.

Open any repo to see its own per-provider split: which agent did the work, and what it cost.

worktree-aware per-provider split $ and tokens
spend by repo · 30d $134.65 total
02 · By model

Tokens by model.

Every model you ran, ranked by tokens - fable-5, gpt-5.5, glm-5.2, gemini-3.5-flash and the long tail below them. Priced with a LiteLLM snapshot; unpriced models still count their tokens so nothing goes missing.

The heavy hitters sit up top. Expand to see the smaller models you forgot you were still calling.

03 · Live gauges

Live gauges, always in reach.

Two mini gauges and a clock sit in your menu bar - session window and weekly cap for the providers you care about, updated live. Hover to drop a panel with the full picture: every provider, its rails, and a reset countdown ticking down.

No app to open, no tab to check. The number that matters is a glance away.

04 · Local-first

Your logs never leave your machine.

Everything is calculated on your Mac, from files that are already on it. Nothing is uploaded, nothing is tracked, and you don't need an account to see your own numbers.

The math is exact - every token counted once, priced at each model's real rate. Your numbers are your numbers.

localparsed on your Mac
0 bytesuploaded to us
8providers covered
exacttoken-level math
05 · Questions

Where the numbers come from.

Short answers here, long answers in the docs.

The JSONL session logs your CLIs already write to disk - ~/.claude/projects for Claude, ~/.codex/sessions for Codex, and the equivalent per-provider logs for the rest. Continuum reads them, dedups events, and prices tokens against a LiteLLM snapshot. Nothing is fabricated; every dollar traces to a real event you can open.

No. Analytics parsing is entirely local - no telemetry, no upload, no account required. When you pair a phone, the Mac mirrors usage metadata to your own iCloud key-value store so your devices agree; the raw logs, prompts, and transcripts stay on the machine that produced them.

All eight: Claude, Codex, Cursor, Grok, OpenCode, Antigravity, OpenRouter, and Z.ai. Each rolls into the aggregate spend, the by-repo split, and the by-model leaderboard.

Yes - cost per repo is a first-class view. Continuum canonicalizes each event's working directory back to its git repo (resolving worktrees and Conductor branch checkouts), then rolls spend and tokens up per project, with a per-provider breakdown inside each repo.

06 · Begin

Know your
token burn rate.

Point Continuum at the logs you already have and see exactly what your agents cost.

local-first · token-exact · 8 providers