This week only$1,000/year$499/year

Your OpenClaw setup, tuned to the latest docs.

Scans your real configuration against current OpenClaw best practices. Shows you exactly where to cut token waste, fix model usage, and close efficiency gaps.

  • Recommendations grounded in the latest OpenClaw documentation
  • Flags token waste, model-mix issues, and drift in your actual setup
  • You choose what to apply — nothing changes without your say

This preorder gets you your first year of Clawptimizer once we launch. Discounted from $1,000/year for customers who purchase this week.

Model usage breakdown
Total (7d)
1,090,350 tokens
openai/codex/gpt-5.2
85.3%
openai/codex/gpt-5.4
10.3%
anthropic/claude-sonnet-4-6
0.5%
Spot expensive defaults and overused models at a glance.
Best-practice checks
Clawptimizer rules checklist showing efficiency and prompt-related checks.
01
Index

Maps your real OpenClaw files and configuration.

02
Analyze

Compares your setup against current docs and best-practice rules.

03
Report

Shows what to fix, with evidence and priority.

04
Apply

You pick the changes. Nothing happens without your approval.

Launch week pricing

$499/year

$1,000/yearSave 50% if you buy this week
  • • 12 months of Clawptimizer access once the product launches
  • • Always current with the latest OpenClaw docs
  • • Token usage, model mix, and efficiency insights

One-time preorder payment for your first 12 months of Clawptimizer once it launches.

FAQ

What does Clawptimizer do?
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It scans your OpenClaw setup, compares it to the latest docs and best practices, and tells you what to fix — with evidence.
What kinds of issues does it catch?
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Bloated prompts, inefficient model usage, stale conventions, risky defaults, and missed optimization opportunities.
Why trust the recommendations?
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Every recommendation cites the relevant OpenClaw documentation and shows what it found in your setup.
Do I need to rebuild my stack?
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No. Clawptimizer tunes what you already have. No migration required.
Does it make changes automatically?
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No. You see what it recommends and decide what to apply.