AgentReady is an API toolkit designed to make web content readable for AI agents. Its primary purpose is to optimize content consumption by artificial intelligence systems by cleaning and compressing web data before it reaches language models.
The toolkit includes seven main tools: TokenCut (text compression), MD Converter (Markdown conversion), Sitemap Generator, LLMO Auditor, Structured Data extraction, Robots.txt Analyzer, and Image Proxy. TokenCut specifically compresses text to reduce LLM token costs by 40-60% while preserving meaning, offering three compression levels, maintaining code and URLs intact, and working with any LLM.
The system works through API calls that process web content through various optimization pipelines. TokenCut analyzes text to remove filler words, verbose phrases, redundant connectors, and excess whitespace while preserving essential content. This compression happens before the text reaches the LLM, ensuring the same meaning with fewer tokens.
Benefits include significant cost reduction on LLM API bills, improved RAG accuracy by feeding cleaner data, and enhanced AI visibility scores. Use cases include RAG pipeline optimization, knowledge base ingestion, customer support AI improvement, SEO optimization for AI visibility, and fine-tuning dataset preparation.
The product targets developers building AI applications, ML engineers, CTOs managing AI infrastructure costs, and companies processing large volumes of web content through AI systems. It integrates via simple API calls and includes a Chrome extension for one-click page cleaning.
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AgentReady targets developers building AI applications, ML engineers, CTOs managing AI infrastructure costs, and companies processing large volumes of web content through AI systems. It serves teams at companies like Anthropic, Vercel, Stripe, Notion, Shopify, Hugging Face, HubSpot, GitHub, Datadog, Twilio, Mistral AI, and Intercom who need to optimize LLM token usage and improve AI content processing efficiency.