Token Enhancer reduces webpage token usage for AI agents
A developer analyzed their AI agent logs and discovered that web fetches include full raw HTML in context, consuming significant tokens. Most of this content consists of navigation bars, scripts, ads, and other non-essential elements.
Token reduction benchmarks
After implementing HTML stripping before content reaches context:
- Yahoo Finance: 704K tokens down to 2.6K tokens
- Wikipedia: 154K tokens down to 19K tokens
- Hacker News: 8.6K tokens down to 859 tokens
Tool implementation
The developer uses Token Enhancer, which works as an MCP server that OpenClaw automatically picks up. The tool is available at: https://github.com/Boof-Pack/token-enhancer
For developers whose AI agents regularly fetch external data, checking logs for raw HTML token consumption could reveal significant cost savings that might otherwise go unnoticed.
📖 Read the full source: r/openclaw
👀 See Also
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ClawMetry: Open-Source Observability Dashboard for OpenClaw Agents
ClawMetry is an open-source observability dashboard for OpenClaw agents that provides live session activity, token cost tracking, memory file change detection, and stuck session alerts. It runs locally with pip install clawmetry and was built using OpenClaw itself.
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Nelson: A Claude Code Plugin for Coordinating AI Agents Like a Naval Fleet
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