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How to review token use and cost by agent and model with Agentacct

Filter usage by date, agent, model, or provider to see where tokens and estimated spend went.

Who it is forA developer or team lead who pays for coding-agent usage and wants to compare agents and models over a set period.

The problemUsage is split across each client's own records, so comparing agents, models, and periods takes manual work.

The outcomeA usage page that totals tokens and estimated cost by agent and model for a chosen range, with cache tokens shown separately and estimates labeled.

What you need first

  • Python 3.11 or newer on macOS or Linux, or Windows through WSL, with pipx available (or the signed macOS app from the latest release on macOS 14+)
  • At least one supported coding agent with local session logs on this machine, such as Claude Code or Codex
  • Permission to open a new agent session after setup, because hooks and MCP servers bind at session start

Steps

  1. Run agentacct tui and open the usage view
  2. Set the date range, then filter by agent, model, or provider
  3. Read the totals by agent and by model for the selected range
  4. Check the freshness stamp in the top bar before trusting the numbers

Prompt for your agent

Use the agentacct repo at https://github.com/mikehasa/agentacct to report token totals and estimated cost by agent and by model for the last 7 days on this machine. Verify that cost figures are labeled as estimates and that the local data freshness stamp is shown.

Caveat. Dates show session totals by activity date, so sessions that span several days are not split into exact daily spend.

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