Agentic Metric – top for your AI coding agents (token, cost tracking)
Like top for AI agents: tracks token costs across 6 coding agents, 100% offline.

Human Follow-up rate metric proves if AI code actually ships or creates rework.
Engineering managers, CTOs, and team leads monitoring AI ROI
Codeium · Sourcegraph Cody · Datadog
Like top for AI agents: tracks token costs across 6 coding agents, 100% offline.
Parses local session files for multi-provider AI cost tracking; Anthropic/OpenAI billing pages don't break it down.
Turns ccusage JSON into a shareable cost infographic in one click.
It does one thing and does it cleanly: inject a compact statusline that shows tokens → dollar estimate, context usage coloring, 5h/7d limit progress, and a rolling period total (with optional ccclub rank). The zero-config behavior — silently omitting integrations you don't have, auto-reading OAuth from the macOS keychain, and writing safe hooks into ~/.claude/settings.json — is smart and pragmatic. This is narrowly useful (only Claude Code users), but the UX decisions (color thresholds, single-line density, cache strategy) show real attention to terminal workflows.
Fast cost tracker for Claude Code, but the market is crowded and niche.
Local-first cost tracking when LangSmith and Helicone already dominate.