Now in private beta · Built with Rust

Web context for AI agents,
in milliseconds.

Instantly strips any website's chaotic HTML into a dense, token-saving map of structural text and interactive coordinates. AI agents get context in milliseconds, not seconds — and every successful run compiles into a zero-LLM automation script.

Join the waitlist → See how it works

<50ms

Context delivery

90%

Token reduction

LLM cost at scale

Rust

Powered engine

web4ai — agent session

# Send any URL — get a structured context map back

$ web4ai map https://example.com/checkout

status: ✓ mapped 47ms

tokens: 312 (vs 4,800 raw HTML)

elements: [

{ type: "input", label: "Email", coords: [240, 380] },

{ type: "button", label: "Place Order", coords: [240, 520] },

{ type: "text", content: "Total: $49.00" }

]

script: auto-compiled → checkout_automation.py

# Script runs forever at ZERO LLM cost 🚀

$ python checkout_automation.py --headless

✓ Order placed in 1.2s · 0 LLM tokens used

How it works

Three steps from chaos
to clean automation

A hybrid loop that pairs lightweight local AI decisions with a blazing-fast Rust execution engine.

STEP 01 / 03

🗺️

Map any page instantly

Point web4ai at any URL. Our Rust engine renders the page, strips the noise, and returns a dense structural map with every interactive element's text label and coordinates — in under 50ms.

STEP 02 / 03

🧠

AI decides locally, Rust executes

Your AI agent reads the compact context map and decides what to do next. web4ai's Rust engine executes those decisions — clicks, types, scrolls, and navigates — bypassing anti-bot walls reliably.

STEP 03 / 03

⚙️

Auto-compile to scripts

Once the agent successfully completes a task, web4ai automatically compiles every step into a production-ready automation script. Run it forever at zero LLM cost — no agent needed at runtime.

Features

Everything an AI agent
needs from the web

Token Efficiency

90% fewer tokens per page

90%

Raw HTML is brutal on context windows. web4ai strips it to a structured text + coordinate map, cutting token usage by up to 90% while preserving every detail agents need to act.

Speed

Milliseconds, not seconds

Our Rust-based engine delivers context 20–100× faster than headless Chrome approaches.

web4ai

47ms

Playwright

1.2s

Puppeteer

1.8s

cURL+parse

4.5s

Hybrid Loop

Smart AI + fast Rust execution

Lightweight AI decisions stay local. Heavy browser work runs in Rust. Best of both worlds.

🧠

AI reads context map → decides next action (local, fast, cheap)

⚡

Rust engine executes → click, type, navigate, bypass bot walls

✓

Task complete → auto-compile path to production script

Anti-Bot Bypass

Works everywhere

JS-heavy SPAs, Cloudflare-protected sites, login walls, CAPTCHA flows — web4ai handles them all. No proxy configuration needed.

✓ Cloudflare ✓ SPAs / React ✓ Login walls ✓ Dynamic content ✓ Shadow DOM

Zero Cost Automation

$0 LLM cost after compilation

Exploration mode uses your LLM to figure out the task. Once successful, web4ai compiles the exact path into a deterministic script — no LLM needed at runtime. Scale to millions of runs for free.

# Exploration (uses LLM once)
web4ai explore --task "fill checkout form"
✓ Compiled → checkout.script

# Production (zero LLM, runs forever)
web4ai run checkout.script --n 10000
✓ 10,000 runs · $0 LLM cost
        

Structured Output

JSON, Markdown, or raw coordinates

Get page data in the exact format your pipeline needs — structured JSON schemas, LLM-ready Markdown, or raw coordinate maps for direct interaction.

{
  "page": "checkout",
  "interactive": [
    { "id": "email_field", "x": 240, "y": 380 }
  ],
  "tokens": 312
}
        

Early feedback

Builders love it

web4ai cut our agent's token spend by 87% overnight. It's the missing infrastructure layer for any agent that touches the web.

Arjun K.

Founder, stealth AI startup

The auto-compilation feature is genius. We explored once, compiled, and now run 50,000 automations a day with zero LLM calls.

Sarah M.

CTO, AI automation platform

Bypassing anti-bot walls used to be our #1 headache. web4ai's Rust engine just... handles it. We stopped worrying about it.

James L.

Lead engineer, data pipeline co.

Pricing

Simple, usage-based pricing

Start free. Scale without limits. Only pay for explorations — compiled scripts run free.

Free

forever

Perfect for exploring and prototyping. No credit card required.

100 page maps / month
10 explorations / month
Compiled scripts: unlimited runs
Community support
REST API access

Get started free

Pro

$49

per month · billed monthly

For teams shipping production AI agents at scale.

10,000 page maps / month
500 explorations / month
Compiled scripts: unlimited runs
Anti-bot bypass (Cloudflare etc.)
Priority support + SLA
Script versioning + history
Webhook notifications

Join waitlist →

Enterprise

Custom

volume pricing

Dedicated infrastructure for high-volume workloads and custom requirements.

Unlimited page maps
Unlimited explorations
On-prem deployment option
Custom Rust engine config
Dedicated support team
SLA & uptime guarantees
SSO / SAML authentication

Talk to us

FAQ

Frequently asked questions

What is web4ai exactly? +

web4ai is an infrastructure layer that converts any website's HTML into a dense, token-efficient map of structural text and interactive element coordinates. AI agents use this map to make decisions locally, while our Rust engine handles the actual browser interactions — clicking, typing, navigating — at millisecond speeds.

How does the "zero LLM cost at scale" work? +

When an AI agent first explores a task (e.g., filling a checkout form), it uses your LLM to decide each step. web4ai records every successful step in a structured format and automatically compiles it into a deterministic script. That script then runs forever — across millions of executions — without any LLM calls, so your runtime cost is effectively $0.

How does web4ai handle anti-bot protections? +

Our Rust-based browser engine is built from the ground up to look and behave like a real browser, defeating common bot-detection systems including Cloudflare, PerimeterX, and DataDome. We handle JavaScript rendering, realistic mouse movement patterns, and browser fingerprinting automatically — no proxy configuration needed.

Which AI frameworks and models does web4ai work with? +

web4ai is model-agnostic and framework-agnostic. It works with any LLM (Claude, GPT-4o, Gemini, Llama, etc.) and any agent framework (LangChain, LangGraph, CrewAI, AutoGen, custom). We also provide an MCP server for direct integration with Cursor, Claude Code, Windsurf, and other MCP-compatible tools.

What makes web4ai different from Firecrawl, Playwright, or Puppeteer? +

Firecrawl focuses on scraping content into Markdown/JSON — it's great for read-only data extraction. Playwright and Puppeteer are developer tools for browser automation but require heavy setup and are slow. web4ai is purpose-built for AI agents: it delivers interactive coordinate maps (not just text), executes browser actions via Rust (10–100× faster), and uniquely auto-compiles successful agent runs into production scripts that require zero LLM at runtime.

Is there an API? What languages are supported? +

Yes — web4ai has a REST API and official SDKs for Python and Node.js, with Go and Rust SDKs in development. You can also use it via our CLI or as an MCP server. Full documentation and quickstart guides will be available on launch.

Web context for AI agents, in milliseconds.

Three steps from chaosto clean automation

Everything an AI agentneeds from the web