tokstat 1.4.1

Aggregate and analyze AI coding assistant token consumption (Claude, Codex, Cursor, Kiro, Gemini)

tokstat

CLI toolkit to aggregate and analyze AI coding assistant token consumption. Each tool scans local data, estimates costs using live LiteLLM pricing, and prints color-coded terminal tables.

On our test account, Tokstat’s estimation matched Anthropic billing with approximately 95% accuracy over 30 days of usage. That said, Tokstat provides estimates only, and we disclaim any responsibility or liability for differences between estimated and actual billing.

Installation

pip install tokstat

Requires Python 3.7+. No dependencies. MIT License.

Tools

Command	Agent	Data source	Tokens	Cost	Status
claude-token-usage	Claude Code	~/.claude/projects/	✓ exact	✓	stable
codex-token-usage	Codex (OpenAI)	~/.codex/sessions/	✓ exact	✓	experimental
cursor-token-usage	Cursor	~/.cursor/projects/	~ estimated	~	experimental
kiro-token-usage	Kiro	~/Library/.../Kiro/	~ estimated	~	experimental
gemini-token-usage	Gemini CLI	~/.gemini/tmp/	✓ exact	✓	experimental

Experimental tools parse undocumented local formats that may change without notice. Data may be incomplete or inaccurate.

Cursor note: token counts are tracked server-side and not stored locally. Estimates can be 5–15× lower than reality. For exact counts use cursor.com/settings/usage.

Modes

All tools support the same modes:

<tool>                          # Aggregated overview (period, project, model, speed)
<tool> --prompts   [-p]         # Per-exchange detail (text, turns, tokens, tools, cost)
<tool> --anomalies              # Technical anomaly detection
<tool> --plan                   # Cost breakdown + plan recommendation
<tool> --export    [file.json]  # Export all exchanges to JSON

Default — aggregated overview

claude-token-usage
claude-token-usage --period all
codex-token-usage --period "7 days"
cursor-token-usage --period "30 days"

--prompts — per-exchange detail

Per-exchange breakdown: user text, model, turns, tokens (input/output/cache), tool calls, cost.

claude-token-usage --prompts
claude-token-usage -p --period "7 days"

--anomalies — technical anomaly detection

Detects unusual patterns in per-exchange token data. Results grouped by project.

claude-token-usage --anomalies
claude-token-usage --anomalies --period "30 days"

Anomaly	Trigger	Severity
Runaway cost	Prompt costs 10x+ the P90	HIGH
High cost	Prompt costs 5x+ the P90	MEDIUM
Tool storm	30+ tool calls in a single prompt	HIGH >60, MEDIUM >30
Turn spiral	API turns 5x+ the P90	HIGH >10x, MEDIUM >5x
Cache thrashing	High cache writes with <50% read-back	MEDIUM
Context bloat	Input/output ratio >50:1 with >10K input	LOW
Empty exchange	5+ turns but <100 output tokens	MEDIUM

Thresholds are computed dynamically from your own data (median, P90).

--plan — plan & optimization recommendations

Cost breakdown by model, plan recommendation, and data-driven optimization advice.

claude-token-usage --plan
claude-token-usage --plan --period all

  All time — 17 active days / 30

  Model              Calls     Cost   Avg/day  Projected/mo  Cache  Share
  ─────────────────  ─────  ───────  ────────  ────────────  ─────  ─────
  claude-opus-4-6      321  $475.19  $15.84/d    $475.19/mo    96%   100%
  claude-sonnet-4-6      8   $0.811  $0.027/d     $0.811/mo    96%     0%
  TOTAL                329  $476.00  $15.87/d    $476.00/mo    96%

  Plan (based on All time)
    Max 20x ($200/mo) strongly recommended.
    Projected API cost: $476.00/mo — you'd save ~$276.00/mo

--export — conversation export

Exports all exchanges to a JSON file.

claude-token-usage --export
claude-token-usage --export out.json --period "7 days"

{
  "tool": "Claude Code",
  "model": "claude-opus-4-6",
  "timestamp": "2026-04-08T...",
  "user": "the user prompt text",
  "assistant": ["response 1", "response 2"],
  "turns": 25,
  "tools_used": {"Bash": 3, "Read": 7, "Edit": 2},
  "tool_errors": ["error message"]
}

Filters

All modes support --period:

--period <period>    all, hour, "5 hours", today, yesterday, "7 days", "30 days", year
                     default: today — partial match works ("7" = "Last 7 days")

Pricing

Model pricing is fetched from LiteLLM's model pricing database and cached at ~/.cache/token-usage/litellm_prices.json for 24 hours. Falls back to stale cache if fetch fails.