AI Productivity

Analytics

See what your AI agents actually did — sessions, prompts, agent time, tokens and estimated spend across every coding CLI you run, built from the session logs, prompt history and git already on your machine. Nothing is uploaded, estimates are labelled as estimates, and coverage gaps are shown instead of zeros.

Analytics

More Screenshots

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Analytics Overview scrolled to the When you work punchcard, Top projects, Shipped commits from git and the Longest sessions table
The Analytics Agents tab listing coding CLIs by sessions, with Claude Code selected showing prompts, median session, tokens, cache hit rate and tokens per day
The Analytics Sessions tab with a week of sessions as timeline bars, a Parallel agents chart and a session length histogram
The Analytics Projects tab listing projects with prompts, sessions, commits and lines added and removed over 90 days

Why You Need This

How this feature boosts your daily productivity

Running several coding agents leaves a trail in half a dozen formats — JSONL token logs, per-CLI session stores, prompt history, git — and none of them answer the questions you actually have: how much did the agents do this week, which one burned the tokens, were they really running in parallel, and what would it have cost at list prices. Analytics reads that trail locally and lays it out across four tabs. **Overview** gives you agent sessions against the previous period, prompts sent, agent time estimated from active 5-minute windows, tokens with the cache share, estimated spend, a weekday-by-hour punchcard, top projects, what you shipped in git and your longest sessions. **Agents** breaks tokens down per CLI into cache read, cache write, output and input, and lists the models you run with a warning on any model that has no known price. **Sessions** draws the week as a timeline with a parallel-agents chart and your orchestration runs passed and failed, and **Projects** puts prompts, sessions, commits and lines side by side. Scope any of it to 24h, 7d, 30d, 90d or All, and to one project or one agent. Open it with ⌘⇧A, from Navigate → Analytics…, or from the Command Palette.

How It Works

Get started in 4 simple steps

1
1

Open Analytics

Press ⌘⇧A (Ctrl+Shift+A on Windows and Linux), pick Analytics… from the Navigate menu, or run Open Analytics from the Command Palette.

2
2

Pick a range and a scope

Choose 24h, 7d, 30d, 90d or All, then narrow it with All projects and All agents. Long ranges roll up from days to weeks to months.

3
3

Read the four tabs

Overview sums up sessions, prompts, agent time, tokens and spend; Agents, Sessions and Projects break the same period down by CLI, by timeline and by repo.

4
4

Check the coverage line

When a source is missing it says so — Tokens tracked for 3 of 8 agents, models unpriced, Git unavailable — instead of drawing a zero.

Without 1DevTool

The manual way vs. the 1DevTool way

The Hard Way

# how much did my agents do this week?
# grep ~/.claude/projects/**/*.jsonl for usage
# ...then a different format for Codex
# git log --shortstat per repo
# spreadsheet it, guess the prices

The 1DevTool Way

⌘⇧A -> Analytics
Overview: sessions, prompts, agent time, tokens, spend
Agents: tokens per CLI, cache split, models
Sessions: timeline + parallel agents
Projects: prompts, sessions, commits, lines

Key Capabilities

Everything included with Analytics

See agent sessions, prompts, agent time, tokens and estimated spend for any range
Compare every coding CLI you run by sessions, tokens and models
Break tokens into cache read, cache write, output and input
Spot unpriced models instead of counting them as free
See how many agents actually ran in parallel on a timeline
Count commits and lines you shipped per project from git
Scope any view to one project or one agent
Keep every number on your machine — nothing is uploaded

Why It Matters

The productivity impact of having ai productivity built into your workspace

Numbers Instead Of A Hunch

“I ran a lot of agents this week” becomes sessions, agent time, tokens and spend you can actually compare against last week.

See Where The Tokens Go

The per-agent cache, output and model breakdown shows which CLI and which model carry the volume before a bill does.

Honest About Its Gaps

Coverage is spelled out and missing data is omitted, so a small number never hides a source that simply was not tracked.

Stays On Your Machine

Everything is computed from local logs, prompt history and git; the dialog computes nothing while it is closed.

Ready to boost your workflow?

Download 1DevTool for free and experience Analytics along with 305 other features — all in one app.