The Problem
Cron is a time-based job scheduler in Unix-like systems. You say 'run this script every 5 minutes,' and it does. It's simple and reliable for automation.
When that script calls the OpenClaw API, each run consumes tokens. This is where the silent burn begins. Two common mistakes are running jobs too frequently and using overly verbose prompts.
A job running every minute consumes 1,440 calls a day. Small inefficiencies in your prompt add up fast, leading to a surprisingly high bill at the end of the month.
What You'll Achieve
- Understand how cron jobs use API tokens.
- Identify common mistakes that inflate costs.
- Implement monitoring and optimization strategies.
- Choose the right scheduling method for your needs.
If you self-host OpenClaw, lean on your LLM provider’s usage dashboards, budgets/alerts, and logging around each scheduled job. Managed platforms (like Weavin) can reduce setup for assistants on chat channels—cron-style automation still needs clear schedules and caps on your side. If you're looking for a no-code approach, it's worth exploring how managed platforms handle scheduling for you.

How to Get Started
1. Audit Your Crontab 15 min
Review all your scheduled jobs. Use crontab -l to list them. Ask yourself: is every job necessary? How often does it really need to run? Document everything.
2. Optimize Job Frequency 10 min
Your biggest savings lever. Does a report need to be updated every minute, or is hourly sufficient? Change */1 * * * * to 0 * * * * to reduce calls by 98%.
3. Refine Your Prompts 30 min
Shorter prompts cost less. Remove unnecessary words, examples, or context. Focus on concise, clear instructions to get the desired output with minimum token usage.
4. Implement Caching 45 min
Don't re-process the same data. Before calling the API, check if you've already processed the input. Store results in a simple database or file to avoid redundant API calls.

Use Cases

FAQ




