S&P Global

S&P Global gives Claude programmatic access to institutional financial datasets and structured research outputs. It pulls company profiles, historical fundamentals, consensus estimates, earnings call transcripts, industry deal flow summaries, and credit ratings. The skill maps S&P's nested data fields to JSON you can query, reads time series for charting, and returns metadata so you can link back to the original S&P Global identifiers.

Use the connector to generate concise tear sheets, build watchlists from real-time key metric changes, and produce earnings call previews with flagged surprises. It runs symbol lookups, checks ratings changes, aggregates sector-level M&A counts, and pulls documented sources for each datapoint so your audit trail stays intact. The GitHub contains example calls, auth flow, and response schemas you can reuse.

In practice, embed it into a research notebook or automated report generator so analysts stop switching between terminals, web portals, and spreadsheets. For example, a PM can run a single script that pulls the latest consensus revisions, generates a one-page company brief, and emails it to the desk — cutting manual copy-paste and dashboard hopping during earnings season.