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Rockmoon
Financial data you can audit
US, Japan and Korea fundamentals in one MCP server — 30,000+ filers since 2009, every number traceable to the regulator's XBRL fact.
Top comment
Since Claude Code came out I've been chewing on one question: now that writing a parser costs basically nothing, and an LLM can do a lot of the data validation that used to need a team — can you disrupt a Data-as-a-Service company as a solo dev? So I tried to build the thing and find out. US, Japan, and Korea (Europe not yet) all have standardized filing formats and XBRL taxonomies, so I wrote a pipeline that pulls structured financials straight out of the raw reports — income statement, balance sheet, cash flow, segments, ownership, the usual. This kind of data goes for anywhere from $99 to $20k/yr online depending on depth and accuracy. Short answer: it's doable. I bought a bunch of commercial datasets out of pocket to check myself against, and: - JP is the best — most standardized, and quality is basically on par with JQuants - US and KR are accurate enough for an individual researcher. Every value is backed by the raw XBRL fact so you can trace it. It's exposed as an MCP server, so it drops straight into Claude Code, Codex, etc. — you ask for a ticker's financials in plain language and it pulls from the parsed DB instead of scraping. Seed users are free right now; I mostly want feedback on where the data is wrong. Would love to hear what breaks, and which markets/fields people actually want.
About Rockmoon on Product Hunt
“Financial data you can audit”
Rockmoon was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #141 on the daily leaderboard. US, Japan and Korea fundamentals in one MCP server — 30,000+ filers since 2009, every number traceable to the regulator's XBRL fact.
On the analytics side, Rockmoon competes within Fintech and Finance — topics that collectively have 53.3k followers on Product Hunt. The dashboard above tracks how Rockmoon performed against the three products that launched closest to it on the same day.
Who hunted Rockmoon?
Rockmoon was hunted by john song. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Rockmoon including community comment highlights and product details, visit the product overview.