Your AI agents are
burning money on
the wrong browser.
Every time an AI agent reads a web page, it processes thousands of tokens of irrelevant code. Plasmate eliminates 94% of that waste. Here's what that means for your business.
Executive Guide — March 2026
The Problem

AI agents use Chrome. Chrome wasn't built for them.

When your AI agents browse the web, they're using the same browser you use to watch YouTube. It's like hiring a translator who reads every word in the dictionary before answering a question.

Chrome returns raw HTML: a massive blob of layout code, tracking scripts, ad containers, CSS classes, and SVG paths. Your agent has to process all of it, even though 80-95% of that data is completely irrelevant to what the agent actually needs to know.

This creates three problems:

$$$
Cost
LLM tokens are priced per million. More tokens = higher bills. Most of those tokens are noise.
252ms
Latency
Chrome takes a quarter second per page. At scale, your agents are waiting, not working.
20GB
Memory
100 Chrome tabs use 20GB of RAM. That's expensive cloud infrastructure doing nothing useful.

The cost compounds. If you're running agents that read hundreds or thousands of pages per day, you're paying for a firehose of irrelevant data and the compute to process it.

The Solution

Plasmate gives your agents only what they need.

Plasmate is a browser engine built specifically for AI agents. Instead of returning raw HTML, it compiles pages into structured, semantic output. Only the meaningful content. Only what's actionable.

Today (Chrome)
  • Returns 50,000+ tokens of raw HTML per page
  • Includes CSS, scripts, tracking, and layout code
  • Agent can't tell a button from a paragraph
  • 252ms per page, 20GB for 100 concurrent pages
  • No built-in understanding of page structure
With Plasmate
  • Returns 3,000 tokens of structured data per page
  • Only semantic content: text, links, buttons, forms
  • Every element labeled with its role and actions
  • 4ms per page, 30MB for 100 concurrent pages
  • Agent knows exactly what it can click, type, and read

The output format is called SOM (Semantic Object Model). Think of it as a table of contents for a web page, not the full book with all its margin notes and illustrations.

The Numbers

94% reduction in token costs.

We tested Plasmate against 98 of the most popular websites on the internet. The results are consistent and dramatic.

94%
Token Savings
Average across 49 benchmarked sites
50x
Faster
Than Chrome (4ms vs 252ms per page)
660x
Less Memory
30MB vs 20GB for 100 pages

What this means in dollars

Cost to process all 49 benchmark URLs, 1,000 times each:

LLM Model With Chrome With Plasmate You Save
GPT-4 $50,397 $3,042 $47,355
GPT-4o $12,599 $761 $11,839
Claude Sonnet $15,119 $913 $14,207

At enterprise scale (1 million pages per month), Plasmate saves $966/month on GPT-4 input costs alone. Multiply across models, agents, and workflows, and the savings are substantial.

Use Cases

Where this matters most.

Any workflow where AI agents interact with web content benefits from Plasmate. Here are the highest-impact scenarios:

🔍

Competitive Intelligence

Monitor competitor pricing, product changes, and content updates across hundreds of URLs. Get structured data instead of HTML soup. Run 50 concurrent sessions per instance.

🤖

Customer-Facing AI Agents

Agents that browse on behalf of users respond faster and more accurately when they get clean, structured page data instead of raw HTML. Lower latency, better answers.

📊

Data Extraction at Scale

Pull structured data from thousands of pages per hour. Plasmate's semantic output means your extraction pipeline doesn't need to parse raw HTML or guess at page structure.

🛡️

Compliance Monitoring

Scan regulatory filings, terms of service changes, and legal documents across many sites. Structured output makes diff-detection reliable and auditable.

📈

SEO and Content Analysis

Analyze page structure, content hierarchy, and link architecture across your properties and competitors. SOM exposes semantic structure that raw HTML obscures.

🔄

Workflow Automation

Agents that fill forms, click buttons, and navigate multi-step workflows perform more reliably when every interactive element is explicitly labeled with its available actions.

How It Works

Drop-in replacement. No rewrite required.

Plasmate is designed to work with your existing agent infrastructure. Your team doesn't need to learn a new framework or rewrite their automation.

Three integration paths

🔌

Puppeteer / Playwright compatible

If your agents already use Puppeteer or Playwright, they can connect to Plasmate with minimal configuration changes. Same API, dramatically better performance.

🧠

MCP Server for AI assistants

Claude, GPT, and other MCP-compatible AI assistants can use Plasmate as a tool directly. One line of configuration gives your assistant fast, structured web access.

📦

SDKs for Node.js, Python, Go, Rust

Native SDKs with full type safety. Your engineering team can integrate Plasmate into any stack in under an hour.

Already integrated with

Browser Use and LangChain have published integration guides. If your team uses either framework, Plasmate is a drop-in addition.

The output format (SOM) is an open specification with JSON Schema validation. You're not locked in. If you ever want to switch engines, your downstream code keeps working.

SOM Spec v1.0 - Apache 2.0 Licensed
Competitive Position

Why not just use Chrome?

Chrome is a general-purpose browser designed for humans. Plasmate is purpose-built infrastructure for AI agents. The difference shows up in every metric that matters.

Plasmate Chrome / Playwright Lightpanda
Speed 4ms/page 252ms/page 23ms/page
Memory (100 pages) 30MB 20GB 2.4GB
Output Structured JSON Raw HTML Raw HTML
Token reduction 94% 0% 0%
License Apache-2.0 Chromium AGPL
Self-hostable Yes Yes Yes (AGPL)

On licensing: The closest alternative (Lightpanda) uses AGPL, which requires you to open source any product that integrates it. Plasmate is Apache-2.0 with no such requirement. Use it however you want.

Getting Started

From zero to running in under 5 minutes.

Plasmate is a single binary with no dependencies. Your team can evaluate it today without infrastructure changes.

Learn more

Plasmate is built by David Hurley. Apache-2.0 licensed. All benchmark data is reproducible and publicly available.