Cross-source correlation for one company in a single call: latest quotes from 3 independent market-data providers, recent SEC filings, and general mentions across news/academic/legal/dev-community sources -- joins data no single-source provider offers together. Accepts a ticker (AAPL) or company name (Apple).

Is a claim independently corroborated across multiple unrelated sources, or does it trace back to a single origin? Groups matches by SOURCE (not category) so a caller sees exactly how many independent outlets/agencies back a claim -- a trust signal no single-source competitor can offer, since it requires already owning many independent sources.

One call, every category: pulls everything matching a topic across all aggregated sources and groups it by category (news, legal, academic, dev community, ...) with counts -- replaces manually calling /tools/search once per category and merging results yourself. Structured aggregation, not an AI-generated summary.

Full-text search across every aggregated data source in one call: news, SEC filings, court opinions, academic papers, government records, and developer discussions. One query surfaces everything concordant across independently-sourced, citable results -- not a single-source wrapper. Optional source/category/since filters.

Tabular time-series lookup across economic indicators (FRED, World Bank, UN Comtrade), crypto TVL, weather, and stock quotes -- by source + series_id, with an optional date range.