Hey HN, we built an Econ+Finance database to let AI agents do investment research. We spend a lot of tokens to organize macro releases and SEC filings into a clean format, so that your agents have more context to do actual analysis.The problemAI agents are great at data analysis. But they become ineffective if most of their context window is spent on gathering and cleaning data, instead of validating hypotheses.Data in the wild is messy and rarely standardized. Definitions and measurements change over time. This problem is compounded by a fragmented data universe. Point solutions exist for getting just market data, just macro data, or just trade data. But unless you pay $30k/person/year for a Bloomberg terminal - you’re not getting that data inside your AI agent.How we're fixing thisWe source, clean, and standardize data from SEC filings, official economic series and macro-economic releases. We structure the data so it’s stupidly obvious to query for any agent. All data is stored in ju...