Vision Squeezer vs token-squeezer

Reduces vision model token costs by snapping images to optimal tile boundaries for Claude, GPT-4o, GPT-5, and Gemini.

Compresses large blocks of text, code, or conversation history into hyper-dense Reasoning Maps optimized for LLM context windows. Saves agents 80%+ on token costs. Stateless. Pay $0.001 USDC per compression via x402 on Base network.

Models

Models

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