analytics

• account_link — Direct link to the right account page for anything not doable in chat: billing, browser upload, report management. Hand the user the link and guide them.
• about — Platform documentation and info: how it works, tiers, usage.
• agent_advisor — AI help desk: which analysis fits your question, interpreting results, fixing errors. Multi-turn.
• datasets_upload — Get your data in. Pass `data` as an array of row objects to create the dataset immediately and get a dataset_ref ready for create_analysis; omit it to get an up
• datasets_list — List and search your uploaded datasets, with fuzzy matching on name, description, and tags. Returns each dataset's uuid:// reference for use in create_analysis
• discover_tools — Browse the analyses you can run: the ones you commissioned plus the platform Standard Library (prebuilt tools; each result tagged source:'own' or 'standard_libr
• tools_schema — Get an analysis's parameter schema. ALWAYS call before run_analysis.
• run_analysis — Run an analysis on your data. Returns a shareable interactive report URL with statistics you can cite, re-run and share, and the method named.
• create_analysis — Commission a NEW analysis built for your question. tier is REQUIRED. The user picks. Easiest: fuzzy_request (plain language) + dataset_ref + tier. Snapshot = in
• modify_analysis — Modify an EXISTING analysis into a new version: reword the question, swap the method, or add a variable. Pass tool_name + changes (plain language). Rebuilds on
• build_status — Check a commissioned build in-chat: stage progress, queue position, rejection reason if the data didn't match the objective, honest ETA, report link when delive
• ask_library — Ask a question across all your delivered analyses: a synthesized answer with citations back to specific reports.
• reports_list — Your report library: every analysis delivered, with status and links. Pass semantic_query to search report content in plain language.

No long description beyond the summary.