Why Financial Data Needs Structure Before It Can Be Intelligence

The problem with raw documents

Every week, the Federal Reserve publishes meeting minutes. The SEC publishes thousands of EDGAR filings. The BLS releases employment situation reports. The USDA drops crop condition data. Together these represent an enormous corpus of primary-source financial intelligence — and almost none of it is queryable in any useful sense.

Search engines index the HTML. LLMs can summarize a single document if you paste it in. But the actual problem — what changed in this document relative to the last one? what signal does this contain for prediction markets? which of my sources just published something I need to know about? — remains unsolved by general-purpose tools.

Structure is the prerequisite

An insight is not a summary. A summary of the March FOMC minutes might tell you "the committee voted unanimously to hold rates." That's useful. But an insight captures the discrete factual claim: unanimous vote to hold rates, with a timestamp, a source attribution, a vertical tag (Macro/Rates), and a link to the primary document. Now it can be stored, retrieved, compared against prior months, surfaced to relevant subscribers, and cited by other systems.

Alchemist's extraction pipeline converts raw documents into this structured form before they ever reach a user. Every source has a fetch strategy, an extraction prompt, and a structured schema it maps into. The result is a corpus of discrete, citable claims — not paragraphs.

Why this matters for queries

When you ask "what are traders saying about Fed policy going into Q3?" you don't want a summary of summaries. You want the five most relevant extracted insights from primary sources in the last 30 days, ranked by signal strength, with their source and date visible. That's only possible if the upstream extraction produced structured data in the first place.

This is the foundational bet Alchemist is making: that a structured extraction layer over primary financial sources is worth building, because it's the prerequisite for every useful thing you might want to do with financial intelligence downstream.

What's next

We're launching with coverage across macro, equities, commodities, and energy — and we're adding sources continuously. The insights feed will be publicly visible at askalchemist.com/insights as it grows. If you have a source you want covered, reach out.

Join the waitlist to get early access.