Every processed story in chronological order, with the newest coverage first. Filter by tag, source, or score to drill in.
Giving an LLM a structured, live data API as a callable tool — rather than relying on its training knowledge — is the pattern that makes financial (and other data-sensitive) agents actually reliable.
Developers building AI-powered financial tools can replace brittle scraping or manual data pipelines with a single MCP server config, giving Claude live access to institutional-grade financial data for portfolio monitoring, earnings analysis, and custom stock screening.