Compare Text vs. condense.chat

Most platforms close tickets. Text closes sales. It’s an AI customer service platform - AI agent, live chat, help desk, and reporting in one place. Automate support, capture leads, and generate revenue from conversations that most platforms just close. Your support team talks to more buyers in a week than most sales teams see in a month. Most businesses call that a cost center. We call it an opportunity. • AI agent — resolves FAQs, returns, and order status end to end, so your team handles only what needs a human • Live chat — triggers proactive conversations based on visitor behavior, so browsers convert before they leave • Help desk — routes every conversation to the right agent with full context, so nothing gets lost • Copilot — works alongside agents, suggesting replies and surfacing customer history, so every response is accurate and fast • Lead capture — qualifies visitors after hours, so every follow-up starts with context, not a cold opener • Workflows — connects Text to your tools so routing, tagging, and notifications run automatically • Product recommendations — surfaced in chat from catalog data, so every support conversation is a sales opportunity • Intent-based routing — scores and routes conversations automatically, so high-value chats reach the right person instantly All channels in one inbox. AI tone and behavior are fully configurable. Real-time supervision, human takeover at any point. A support operation that runs 24/7, qualifies every lead, recovers abandoned carts, and generates measurable revenue. Quick and easy setup. No engineers required. • 35,000+ companies - PayPal, IKEA, Mercedes-Benz. • 14-day free trial, no credit card required.

Condense.chat is an innovative API designed for compressing input for language models, functioning as a drop-in proxy that effectively reduces the size of prompts, retrieved documents, tool outputs, and recurring agent contexts prior to reaching the main models. By minimizing context while maintaining the integrity of Claude Code, it intercepts an agent's expanding session history and processes it through compression models, enabling long-running coding agents to operate with fewer tokens at the start of each new turn. Acting as an intermediary between applications and upstream LLM providers, Condense meticulously tracks conversations as a content-addressed chain, seamlessly compressing any repeated context along the way. Developers can easily integrate this system by directing their SDK to the Condense provider route, adding a Condense key, and retaining their existing provider key without needing to make any additional changes. Compatibly, it supports routes for both Anthropic and OpenAI, and also offers pass-through functionalities for other provider pathways, including model lists and embeddings, ensuring a versatile integration. This makes it an invaluable tool for optimizing interactions with language models while enhancing overall efficiency in processing and managing session data.