Hidden Systems
AI market intelligence for complex systems
Hidden Systems builds AI-powered intelligence products for financial markets and complex social systems.
Our first product, Nebula, turns large volumes of crypto social data into live signals covering market sentiment, emerging narratives, token mindshare and influential accounts. The intelligence is available through a research platform, REST API, MCP server and CLI, allowing both people and AI agents to investigate what is moving markets.
We are also building Meridian, which applies the same approach to equities and broader financial markets. Hidden Systems collects and structures its underlying data rather than simply wrapping a generic model or third-party dashboard.
Features
• Nebula — a live financial social-intelligence platform for digital asset markets.
• Track market sentiment, attention, token mindshare and the narratives moving markets.
• Follow structured market events ranked by significance and filter them by asset, company, actor, topic or theme.
• Analyse conversations across X, Reddit, YouTube, news and other relevant social sources.
• Use the Nebula AI research agent to investigate narratives, market participants, sentiment shifts and emerging events.
• Filter activity from investors, analysts, executives, institutions and other influential market participants.
• Access the same intelligence through a REST API, MCP server and CLI for agents, trading systems and internal tools.
• Meridian — our upcoming institutional market-intelligence and decision-support product for equities and broader financial markets.
• Proprietary data collection and signal infrastructure developed in-house by Hidden Systems.
Use Cases
• Detect emerging narratives and changes in market sentiment before they become widely recognised.
• Understand which assets, companies and themes are gaining or losing attention.
• Research market-moving events, influential participants and the conversations shaping investor behaviour.
• Track token mindshare, social momentum and important changes across digital asset markets with Nebula.
• Ask complex market questions through an AI research agent grounded in live social-intelligence data.
• Add real-time market context to AI agents, trading systems, alerts, dashboards and internal research workflows through the API, MCP server or CLI.
• Help analysts, investors and research teams reduce social noise and focus on significant market signals.
• Use Meridian, when released, for institutional intelligence and decision support across equities and broader financial markets.
Comments
Hey everyone 👋 I’m one of the makers behind Hidden Systems. We started Hidden Systems because markets are not moved by price data alone. They are moved by people, attention, narratives and collective behaviour — but most research tools treat that information as noise or reduce it to a basic sentiment score. Our first product, Nebula, is a live financial social-intelligence platform for digital asset markets. It tracks sentiment, attention, token mindshare, influential market participants and emerging narratives across social and news sources. It also structures market-moving events by significance, so researchers can focus on what matters instead of manually searching through feeds. Nebula includes an AI research agent grounded in our live intelligence, alongside a REST API, MCP server and CLI. This means the same data can be used by analysts directly or integrated into agents, trading systems, alerts and internal research workflows. We’re also building Meridian, our upcoming institutional market-intelligence and decision-support product for equities and broader financial markets. The long-term goal is to build an intelligence layer for understanding the human systems moving markets — collecting and structuring the underlying data ourselves rather than simply wrapping a generic model or third-party dashboard. We’d genuinely love feedback, particularly from investors, analysts and developers building market-focused agents or research workflows. Happy to answer anything 🙌
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Comments
Hey everyone 👋 I’m one of the makers behind Hidden Systems. We started Hidden Systems because markets are not moved by price data alone. They are moved by people, attention, narratives and collective behaviour — but most research tools treat that information as noise or reduce it to a basic sentiment score. Our first product, Nebula, is a live financial social-intelligence platform for digital asset markets. It tracks sentiment, attention, token mindshare, influential market participants and emerging narratives across social and news sources. It also structures market-moving events by significance, so researchers can focus on what matters instead of manually searching through feeds. Nebula includes an AI research agent grounded in our live intelligence, alongside a REST API, MCP server and CLI. This means the same data can be used by analysts directly or integrated into agents, trading systems, alerts and internal research workflows. We’re also building Meridian, our upcoming institutional market-intelligence and decision-support product for equities and broader financial markets. The long-term goal is to build an intelligence layer for understanding the human systems moving markets — collecting and structuring the underlying data ourselves rather than simply wrapping a generic model or third-party dashboard. We’d genuinely love feedback, particularly from investors, analysts and developers building market-focused agents or research workflows. Happy to answer anything 🙌
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