Capacitr is building an agentic finance platform that closes the loop between market discovery, signal monitoring, and trade execution. Traders find opportunities across fragmented surfaces: X, news, Telegram, prediction markets, pre-IPO tokens, onchain assets, and event-driven narratives. Capacitr brings those surfaces into one workflow so users can discover what is tradable, understand why it matters, monitor what changes, and act when the signal isready.
    
The product starts with discovery. Capacitr scans opportunities across prediction markets, private-market proxies, crypto-native assets, and event-driven trades, then frames each market around the user’s intent: thesis, catalyst, instruments, risks, and next action. Instead of a passive screener, Capacitr behaves like an AI trading terminal.
    
The second layer is monitoring. Once a user cares about a company, market, asset, or thesis, Capacitr tracks news, social momentum, odds, price movement, liquidity, and user-defined triggers. The goal is to compress the time between “something changed” and “I know whether to act.” Agents summarize changes, connect them to the thesis, and distinguish noise from actionable signal.
    
    The third layer is agentic trading. Capacitr lets users delegate bounded workflows to agents: monitor this thesis, wait for these conditions, prepare an execution plan, and act only within approved constraints. Smart wallets,scoped permissions, sponsorship, and payment rails make this possible without giving agents unrestricted control. Users can define limits like budget, market, time window, and order size.
    
Capacitr is also built with the same agentic operating model we are bringing to finance. We use AI coding agents, harnesses, and verification loops to accelerate development, QA, research, and integrations. The company is built around the same principle as the product: tighter loops, clear constraints, agent-assisted execution, and human control where it matter

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Capacitr

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