Quiver Quant opens politician‑trade API

Alternative data is the domain here — the weird but useful stuff traders use when plain price charts stop being enough. The gap has never been the raw disclosures themselves. Congress trades, insider filings, 13F holdings, and lobbying reports were already public. The problem was turning a pile of messy filings into something a model could actually query. That changed when Quiver Quantitative pushed its data into a public-facing API product and priced access from $30 a month, with free access tiers still feeding the top of the funnel. (api.quiverquant.com) ### What did Quiver actually launch? Quiver didn’t invent a brand-new data category. It productized the one it already built its site around. The API site now pitches direct access to Quiver’s alternative datasets, while the live OpenAPI spec shows machine-readable endpoints for recent congressional trades, live insider transactions, lobbying records, and bill summaries. In plain English, the dashboards are no longer just for click(api.quiverquant.com)rts, and research pipelines. (api.quiverquant.com) ### Why is “API” the real news? Because the hard part in this niche is not finding the filing. It’s cleaning it, normalizing it, and keeping it updated. Congressional disclosures can arrive late and in awkward ranges. Insider forms are fast but noisy. Lobbying data has to be mapped to tickers before it becomes market-useful. Quiver’s own data-sources page spells out that it downloads STOCK Act disclosures, parses them for trades, s(api.quiverquant.com)to public companies. The API means users can skip rebuilding that plumbing themselves. (quiverquant.com) ### What’s in the feed right now? The cleanest answer comes from Quiver’s spec. One endpoint serves recent congressional stock trading. Another serves live insider trades. Another serves historical lobbying records. Another serves bill summaries tied to recent congressional action. Quiver’s broader site also advertises institutional holdings datasets and politician portfolio tracking, which tells you the product is being fr(quiverquant.com)opy Pelosi” gimmick. (api.quiverquant.com) ### Why do traders care about politician trades? Mostly because politician-trade data sits at the intersection of narrative and timing. A congressional trade can matter on its own, but it gets more interesting when you line it up with committee work, bill movement, lobbying pressure, or insider activity in the same name. That is the quant use case here — not “a senator bought Nvidia, therefore buy Nvidia,” but “d(api.quiverquant.com)s after disclosure?” Quiver’s site leans into exactly that kind of strategy-building language. (quiverquant.com) ### What’s the catch? The catch is latency. STOCK Act disclosures can be filed as much as 45 days after the transaction, which means the “signal” is often stale by the time the market sees it. Quiver says that plainly on its Congress dashboard. So this is not magic front-running data. It is better for event studies, portfolio replication, factor research, and sentiment overlays than for instant trade copying. Insider data is timelier —(quiverquant.com)reason combining these feeds is more useful than treating any one of them as gospel. (quiverquant.com) ### Why bundle lobbying and bills with trades? Because trades tell you what happened, but lobbying and legislation help explain why a stock suddenly became politically relevant. Think of it like getting both the footprint and the map. A defense name with fresh lobbying disclosures, a bill moving through committee, and a politician trade in the same window gives a researcher a much richer event set than any single filing(quiverquant.com)API roof. (api.quiverquant.com) ### Who is this really for? Not casual investors first. The pricing and packaging suggest a ladder: free dashboards for discovery, premium subscriptions for deeper site features, and API access for people who want the data inside their own code. That means quants, newsletter writers, indie researchers, and small funds can all use the same cleaned source without building a filing-ingestion system from scratch. (q([api.quiverquant.com)s move is less “new dataset” than “new interface.” But that interface matters. It turns political and insider disclosures from something you browse into something you can systematically test — and that is usually where a niche data product starts becoming infrastructure. (api.quiverquant.com)