Provincial Token Party Must Read: Two Major Misconceptions of OpenClaw Calling Data For friends who play OpenClaw, if you find that your account balance drops rapidly, it is likely that you have fallen into these two "call data" pitfalls. one ️⃣ Don't let the agent crawl web pages like a 'primitive' Many people are accustomed to directly having the Agent call the browser to capture data, which is actually the most token burning way: -Extremely low efficiency: flipping pages, rendering, waiting, not only slow, but also prone to triggering risk control and IP blocking -Too much noise: webpages are filled with HTML tags, navigation bars, ads, pop ups... If you let LLM read these, it's like spending money to buy a bunch of "e-waste" to feed it Correct posture: Follow the API as much as possible Structured, clean, and non redundant data, with explosive efficiency and zero token consumption (calling the API itself does not consume your LLM token) two ️⃣ Free API does not equal zero cost This is the most common cognitive misconception: thinking that APIs are free means that you can easily grab data and feed LLM. But the endpoint of the data is LLM, the more it is transmitted, the more the token burns. Calculate a simple account: Task: Summarize the latest tweets from 200 KOLs per hour Assumption: Each tweet+context ≈ 500 Tokens Daily consumption: 24 hours x 200 x 500=2400000 Tokens Even with the cheap Gemini 2.5 Flash, it still costs approximately $0.36 per day The one month cost of this simple report is approximately $11 (about 77 RMB) Not to mention the exponential additional consumption caused by the increasing number of context stacks Advanced Pit Avoidance Guide: 1. First, "defatting" before administering medication -Prioritize selecting data sources with summaries/simplified versions -Only transmit the most relevant ones/parts of the content, don't cram everything into them all at once 2. Regularly slim down the Agent -Every 10 or so conversations, actively run the/compact command -Forcefully clear historical baggage, instantly refresh the context window, and instantly reduce token consumption What other money saving/pit avoiding tips do you have for data calls when using OpenClaw? Let's discuss in the comment section