Web Speed

Product Introduction

1. Definition: Web Speed is a deterministic web-to-machine translation protocol and logic layer for AI agents. It is a technical infrastructure product that converts the raw, unstructured Document Object Model (DOM) of any website into high-fidelity, token-efficient JSON blueprints optimized for autonomous agentic systems.
2. Core Value Proposition: Web Speed exists to solve the fundamental inefficiency of AI agents directly parsing the web. It dramatically reduces operational costs and latency while increasing reliability by providing a clean, structured interface between autonomous agents and the chaotic, human-centric web, enabling scalable agentic execution.

Main Features

1. Deterministic Machining Engine: This is the core technology that processes raw HTML. It strips out an estimated 85%+ of non-essential HTML noise (styles, scripts, meta tags) and deterministically maps the remaining structure into a stable, machine-readable JSON protocol. This process is consistent and repeatable, unlike LLM-based parsing which can be stochastic.
2. Token-Optimized Output (Agent Context Window): The primary deliverable is a massively condensed JSON blueprint. The product claims to reduce a typical 180,000-token raw HTML payload to around 4,200 tokens, representing a 70%-90% token cost cut per navigation cycle. This directly translates to lower LLM API costs and allows for longer context windows.
3. Schema-Locked Navigation for Major Platforms: Web Speed pre-maps and maintains stable schemas for complex, dynamic web applications like Google Flights, Amazon, and Stripe. This "schema lock" prevents agent breakage from front-end layout shifts or CSS selector changes, providing reliable, autonomous navigation paths.
4. Secure Post-Auth Execution via MCP Integration: For navigating behind logins (walled gardens), Web Speed integrates with the Model Context Protocol (MCP). It uses a local browser bridge, allowing agents to securely pull authenticated sessions from a user's local keychain without exposing credentials to a proxy server, enabling data extraction from authenticated sessions.
5. Shared Map Registry & Caching: The service includes a shared registry of website maps. Subsequent requests for the same URL can result in a cache hit, delivering the blueprint instantly and for free (on paid plans), further optimizing costs and latency at scale.

Problems Solved

1. Pain Point: Prohibitive Token Costs and Latency. Feeding entire raw DOM structures (50k-200k characters) into LLM context windows for agentic web navigation is economically unsustainable and slow, creating a major barrier to scaling autonomous AI operations.
2. Pain Point: Unreliable Agent Execution. Relying on LLMs to interpret dynamic web pages or using brittle CSS/XPath selectors leads to frequent breakage due to website updates, layout shifts, and A/B tests, making production deployments unreliable.
3. Target Audience: Developers and Engineers building production-scale AI agent fleets; Companies implementing autonomous customer service, research, or data extraction agents; MCP (Model Context Protocol) server developers seeking robust web tooling.
4. Use Cases: An autonomous travel agent reliably scraping and comparing flight prices from Google Flights; A procurement agent navigating Amazon Business to place orders; A financial agent logging into a banking portal to extract transaction data; Any AI agent that requires consistent, cost-effective interaction with web-based SaaS platforms.

Unique Advantages

1. Differentiation: Unlike simple HTML cleaners or headless browsers, Web Speed provides a deterministic translation protocol, not just cleaned HTML. Unlike LLM-based parsing services, it guarantees zero hallucinations from the parsing layer itself and offers predictable, lower-cost execution through its machining engine.
2. Key Innovation: The "machining" metaphor is central. It treats raw HTML as raw material to be precision-engineered into a machine part (the JSON blueprint). This approach of creating a stable, intermediary protocol layer between the web and the agent is its core architectural innovation, decoupling agent logic from front-end volatility.

Frequently Asked Questions (FAQ)

1. How does Web Speed reduce AI agent token costs? Web Speed reduces token costs by its deterministic machining engine, which strips out over 85% of raw HTML noise (like styles and scripts) and compresses the essential page structure into a minimal, token-efficient JSON blueprint, cutting token usage by 70-90% per page load.
2. Can Web Speed handle websites behind a login? Yes, through its native MCP (Model Context Protocol) integration. Web Speed uses a local browser bridge to securely inject user sessions from the local keychain, enabling agents to map and extract data from post-authentication pages without credential exposure.
3. What is the difference between Web Speed and a traditional web scraper? Traditional scrapers extract specific data points. Web Speed is a logic layer that translates the entire navigable structure of a page into a machine map. It enables autonomous action (clicking, typing) by an AI agent, not just one-time data extraction, and is designed to be resilient to website changes.
4. Is Web Speed self-hosted? Yes, the core MCP server is open-source and can be self-hosted for free under the Hobbyist tier. The company also offers managed cloud services (Pay As You Go and Scale plans) with benefits like a shared map registry and priority support.
5. How does Web Speed prevent agent breakage on dynamic websites? It uses "schema-locked" navigation for major targets (e.g., Google Flights), meaning it maintains a stable, abstracted map of the site's functional elements. This map remains consistent even if the underlying CSS or layout changes, providing deterministic execution paths for the agent.