FinCatch - FinCatch connects firms and financial events across time
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Financial events rarely make sense in isolation. A supplier disruption, a change in guidance, and an earnings update months later may all be connected. Understanding those connections takes a view of how the story developed over time.
Our temporal knowledge graph connects companies, events, and relationships across time. The graph now contains over 2.4 million nodes, and we process an average of 15,000 events per day. We’ve added API & MCP support, so agents can access the same research data.
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A concrete example: a company lowers its guidance after a supplier disruption. An agent researching that announcement can use FinCatch to retrieve the company's earlier events, explore the businesses involved, and review the evidence behind them.
The next questions: When was the disruption first reported? What had the company disclosed before the guidance change? Did related companies report similar issues? Connecting those pieces over time gives the researcher a sequence of events to examine and sources to follow up on.
If you're building company monitoring, earnings research or supply-chain analysis tools: what information is hardest to retrieve or connect in your current workflow?
@go_nam_harry_lui_ph_d_ What excites me most is giving agents context beyond individual financial headlines—how companies and events connect, and how those relationships develop over time. Making that accessible through both an API and MCP opens up some compelling research workflows. A question we want to help agents explore: how did a supplier disruption unfold, what did related companies disclose, and what changed in their guidance—with sources to follow at each step?