Deep Research
Investigate a company, token, sector, or thesis across many fresh sources and return a structured, cited brief.
Search the live web, investigate market-moving events, monitor narratives, and turn thousands of sources into cited intelligence.
This prototype shows how a finished answer can look once live search and an AI model are connected. Each major claim should be tied to a source and timestamp.
Move from a quick fact check to a full investment-grade research brief without changing tools. The interface stays simple; the depth changes underneath.
Investigate a company, token, sector, or thesis across many fresh sources and return a structured, cited brief.
Watch filings, announcements, regulation, products, wallets, or narratives and surface only material changes.
Answer time-sensitive questions with current web context instead of relying on stale model knowledge.
Pull the useful facts from filings, press releases, research notes, PDFs, and long pages into clean context.
A market feed should explain why something matters, not just repeat that it happened. Each alert can carry context, confidence, and source provenance.
Portfolio companies, tokens, regulation, ETF flows, earnings, product launches and narrative shifts — continuously filtered for materiality.
The best market assistant should feel fast in the interface but rigorous underneath: retrieve the web, verify the facts, synthesize only what survives.
Type the question the same way you would ask an analyst: “What is driving Shopify today?” or “What changed in Bitcoin ETF flows this week?”
Retrieve fresh, relevant sources across news, filings, company pages, research, market data and authoritative primary documents.
Generate a concise answer, show the strongest evidence, expose uncertainty, and keep every important claim traceable to its source.