Guavy Launches AI-Native Crypto API: Real-Time Market Sentiment for Trading Apps, Funds & AI Agents
The post Guavy Launches AI-Native Crypto API: Real-Time Market Sentiment for Trading Apps, Funds & AI Agents appeared on BitcoinEthereumNews.com.
Calgary, Canada, January 13th, 2026, Chainwire Developer-first cryptocurrency data platform delivers institutional-grade sentiment, signals, and curated news with native support for agentic AI workflows Guavy today announced the public launch of its AI-native API platform, providing developers, quantitative teams, funds, and AI agents with real-time cryptocurrency market intelligence. The platform delivers real-time sentiment analysis, trend signals, and curated news across 350+ digital assets through a simple REST API designed specifically for the AI era. As cryptocurrency markets grow increasingly complex and AI-driven trading systems become mainstream, Guavy positions itself as the missing data layer between raw market data and intelligent decision-making. The platform combines traditional technical analysis with advanced AI models to deliver actionable insights that power trading bots, mobile applications, institutional strategies, and autonomous AI agents. “The next generation of crypto trading infrastructure isn’t just faster data—it’s smarter data,” said Donna Tilden, CEO of Guavy. “We built Guavy’s API to be AI-native from the ground up. Whether you’re building a trading bot, running a quant fund, or deploying autonomous AI agents, you need structured intelligence, not just raw feeds. That’s what we deliver.” Built for AI Agents: Native MCP and LLM Support Guavy’s API is built for agentic AI with native support for the Model Context Protocol (MCP) and LLMs.txt standards. This allows developers to seamlessly integrate real-time sentiment, news, and trading signals directly into AI agent workflows and large language model applications without complex middleware or custom parsing logic. The platform processes thousands of data sources daily—news articles, social media, blog posts, and expert opinions—using advanced AI models to score sentiment, identify narrative shifts, and detect emerging trends before they impact prices. This intelligence is delivered through clean, structured endpoints that can be consumed by both human traders and autonomous systems. Key Features for Developers and Institutions The…
Filed under: News - @ January 13, 2026 6:23 pm