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Token Savings Analytics

rtk gain shows how much bash output RTK has removed across all your commands, with daily, weekly, and monthly breakdowns.

What rtk gain measures is the reduction in bash output bytes, converted to estimated tokens. Bash output is one contributor to input tokens, alongside your prompt, the system prompt and conversation history, and input tokens are in turn only part of the bill, which also counts output tokens. See How RTK Savings Work for the full picture.

Terminal window
# Default summary
rtk gain
# Temporal breakdowns
rtk gain --daily # all days since tracking started
rtk gain --weekly # aggregated by week
rtk gain --monthly # aggregated by month
rtk gain --all # all breakdowns at once
# Classic flags
rtk gain --graph # ASCII graph, last 30 days
rtk gain --history # last 10 commands
rtk gain --quota # monthly quota savings estimate (default tier: 20x)
rtk gain --quota -t pro # use pro tier token budget for estimate
# Export
rtk gain --all --format json > savings.json
rtk gain --all --format csv > savings.csv
Terminal window
rtk gain --daily

Example output (illustrative numbers from one machine, not typical results — yours depend entirely on which commands you run):

📅 Daily Breakdown (3 days)
════════════════════════════════════════════════════════════════
Date Cmds Input Output Saved Save%
────────────────────────────────────────────────────────────────
2026-01-28 89 380.9K 26.7K 355.8K 93.4%
2026-01-29 102 894.5K 32.4K 863.7K 96.6%
2026-01-30 5 749 55 694 92.7%
────────────────────────────────────────────────────────────────
TOTAL 196 1.3M 59.2K 1.2M 95.6%
  • Cmds: RTK commands executed
  • Input: Estimated tokens from raw command output (bytes / 4)
  • Output: Estimated tokens after filtering (bytes / 4)
  • Saved: Input - Output, in estimated tokens
  • Save%: Saved / Input × 100 — a bash output byte ratio, not a share of your bill
Terminal window
rtk gain --weekly
rtk gain --monthly

Same columns as daily, aggregated by Sunday-Saturday week or calendar month.

FormatFlagUse case
textdefaultTerminal display
json--format jsonProgrammatic analysis, dashboards
csv--format csvExcel, Python/R, Google Sheets

JSON structure:

{
"summary": {
"total_commands": 196,
"total_input": 1276098,
"total_output": 59244,
"total_saved": 1220217,
"avg_savings_pct": 95.62
},
"daily": [...],
"weekly": [...],
"monthly": [...]
}
CommandBash output reductionMechanism
git status77-93%Compact stat format
eslint84%Group by rule
jest94-99%Show failures only
vitest94-99%Show failures only
find75%Tree format
pnpm list70-90%Compact dependencies
grep70%Truncate + group

These percentages measure bash output bytes removed, not cost reduction.

rtk gain estimates tokens as bytes / 4 (src/core/tracking.rs:1284). RTK ships no real tokenizer by design: embedding one would cost startup time and would require a tokenizer per model, or a per-session model lookup, which RTK does not implement. The same estimator is applied to raw and filtered output, so the percentage is reliable; the absolute token counts are approximate and will not match your provider’s billing.

Input Tokens = estimate_tokens(raw_command_output)
Output Tokens = estimate_tokens(rtk_filtered_output)
Saved Tokens = Input - Output
Savings % = (Saved / Input) × 100

Savings data is stored locally in SQLite:

  • Location: ~/.local/share/rtk/history.db (Linux / macOS)
  • Retention: 90 days (automatic cleanup)
  • Scope: Global across all projects and Claude sessions
Terminal window
# Inspect raw data
sqlite3 ~/.local/share/rtk/history.db \
"SELECT timestamp, rtk_cmd, saved_tokens FROM commands
ORDER BY timestamp DESC LIMIT 10"
# Backup
cp ~/.local/share/rtk/history.db ~/backups/rtk-history-$(date +%Y%m%d).db
# Reset
rm ~/.local/share/rtk/history.db # recreated on next command
Terminal window
# Weekly progress: generate a CSV report every Monday
rtk gain --weekly --format csv > reports/week-$(date +%Y-%W).csv
# Monthly budget review
rtk gain --monthly --format json | jq '.monthly[] |
{month, saved_tokens, quota_pct: (.saved_tokens / 6000000 * 100)}'
# Cron: daily JSON snapshot for a dashboard
0 0 * * * rtk gain --all --format json > /var/www/dashboard/rtk-stats.json

Python/pandas:

import pandas as pd
import subprocess
result = subprocess.run(['rtk', 'gain', '--all', '--format', 'csv'],
capture_output=True, text=True)
lines = result.stdout.split('\n')
daily_start = lines.index('# Daily Data') + 2
daily_end = lines.index('', daily_start)
daily_df = pd.read_csv(pd.StringIO('\n'.join(lines[daily_start:daily_end])))
daily_df['date'] = pd.to_datetime(daily_df['date'])
daily_df.plot(x='date', y='savings_pct', kind='line')

GitHub Actions (weekly stats):

on:
schedule:
- cron: '0 0 * * 1'
jobs:
stats:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
- run: cargo install --git https://github.com/rtk-ai/rtk --branch master rtk
- run: rtk gain --weekly --format json > stats/week-$(date +%Y-%W).json
- run: git add stats/ && git commit -m "Weekly rtk stats" && git push

--quota expresses the estimated tokens saved as a fraction of a monthly subscription budget. Like every other figure in rtk gain, it is derived from the bytes / 4 estimate of bash output, so treat it as an order of magnitude rather than a billing forecast.

Terminal window
rtk gain --quota # uses 20x tier by default
rtk gain --quota -t pro # Claude Pro plan budget
rtk gain --quota -t 5x # 5× usage plan budget
rtk gain --quota -t 20x # 20× usage plan budget

The tiers (pro, 5x, 20x) correspond to Anthropic Claude API subscription levels, each with a different monthly token allocation. RTK uses those allocations as a denominator to express your savings as a percentage of your budget.

No data showing:

Terminal window
ls -lh ~/.local/share/rtk/history.db
sqlite3 ~/.local/share/rtk/history.db "SELECT COUNT(*) FROM commands"
git status # run any tracked command to generate data

Incorrect statistics: Token estimation is a heuristic. For precise counts, use tiktoken:

Terminal window
pip install tiktoken
git status > output.txt
python -c "
import tiktoken
enc = tiktoken.get_encoding('cl100k_base')
print(len(enc.encode(open('output.txt').read())), 'actual tokens')
"