Your AI agent is spending $3,000/month reading HTML it can't use

Token Enhancer is a hosted proxy that strips ads, navigation, and scripts from web pages before they reach your agent's context window. One API call. No infrastructure to run.

Estimated monthly cost of web fetches — 50 pages/day, Claude Sonnet at $3/M input tokens
Yahoo Finance pages 704K tokens each → 2.6K after proxy
$3,169/mo without proxy
$12/mo
Wikipedia articles 154K tokens each → 19K after proxy
$693/mo without proxy
$86/mo
Hacker News front page 8.6K tokens each → 859 after proxy
$39/mo
$4/mo
The math: An agent fetching 50 financial pages/day sends ~35M tokens to the API monthly. At $3/M tokens, that's $3,169/month wasted on HTML noise alone — per agent. Token Enhancer reduces that to $12. These estimates use Claude Sonnet 4.6 input pricing as of March 2026. Your actual savings depend on your model and volume.

Raw benchmarks

Measured token reduction on production pages

Token counts use cl100k_base encoding. Pages fetched and processed by the proxy without modification.

Source Before After Reduction
Yahoo Finance (AAPL) 704,760 2,625 99.6%
Wikipedia article 154,440 19,479 87.4%
Hacker News 8,662 859 90.1%

Architecture

One endpoint. No infrastructure.

HTML stripping

Removes script tags, style blocks, navigation, ads, tracking pixels, and boilerplate. Returns only the content your model needs to reason about.

Hosted & managed

No server to run, no Docker container to maintain. Send a URL, get back clean text. Your API key is provisioned instantly after checkout.

Usage tracking

Every request is logged with tokens saved. See exactly how much noise you're cutting and how much money you're saving, per request.

Self-hosted option

Compliance requirements? The open-source version runs entirely on your infrastructure. Nothing touches a third-party server. MIT licensed.

# drop-in replacement for a raw fetch curl -X POST https://tokenenhancer.com/fetch \ -H "Authorization: Bearer YOUR_API_KEY" \ -H "Content-Type: application/json" \ -d '{"url": "https://finance.yahoo.com/quote/AAPL"}' # response { "url": "https://finance.yahoo.com/quote/AAPL", "content": "Apple Inc. (AAPL)\nNASDAQ ...", "tokens_before": 704760, "tokens_after": 2625, "tokens_saved": 702135, "cost_reduction_pct": 99.6 }

Comparison

How Token Enhancer compares to alternatives

Different tools serve different needs. Firecrawl and Jina offer JS rendering and anti-bot capabilities. Token Enhancer is built for one job: strip HTML noise as cheaply as possible before it hits your token bill.

Token Enhancer Firecrawl Jina Reader
Pricing $49–$149/mo flat Credits, then paid Free tier, then paid
Setup API key, no infra API key, no infra API key, no infra
HTML reduction 87–99% Comparable Comparable
MCP support Yes Yes Yes
Self-hosted option Yes, MIT licensed No No
JS rendering Roadmap Yes Yes
Cost per request Flat monthly Per-credit Per-request above free

Background

Why this exists

I loaded $20 of API credit and started building an agent with OpenClaw. The balance was gone in two hours. When I checked the logs, every web fetch was dumping hundreds of thousands of tokens of raw HTML into context — navigation, ad scripts, tracking pixels, none of it useful for reasoning.

I wrote a proxy to strip it out. The problem turned out to be common enough that it made sense to offer it as a hosted service. If you'd rather run it yourself, the open-source version is on GitHub under MIT.


Pricing

Simple monthly pricing. No credits.

Pay once a month. No per-request charges, no credit packs to buy. Your API key is emailed to you instantly after checkout.

Starter
$49/mo

For teams running one or two agents with moderate web fetch volume.

  • 10,000 requests / month
  • Full HTML stripping
  • Usage logs per request
  • API key via email instantly
  • Cancel any time

Stripe Checkout → API key emailed instantly

Need higher volume or a private deployment? Get in touch.


Self-hosted

Run it yourself

MIT licensed. Python 3.10+. No external accounts or API keys required. Docker image published on ghcr.io.

# from source git clone https://github.com/Boof-Pack/token-enhancer.git cd token-enhancer chmod +x install.sh && ./install.sh # or docker docker pull ghcr.io/boof-pack/token-enhancer:latest docker run -p 8080:8080 ghcr.io/boof-pack/token-enhancer