ai.mcpanalytics/analytics

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 delivered.

Commission a NEW analysis built for your question. tier is REQUIRED — the user picks. Easiest: fuzzy_request (plain language) + dataset_ref + tier. Snapshot = instant automated report (~2-10 min). JSON = a fast computed answer, numbers + method, re-runnable tool you own (~5 min). Brief = the computed answer on a one-page report — chart, numbers, method (~7 min). Deck = commissioned deep analysis, a durable re-runnable module you own (30-45 min). Failed builds are never billed.

List and search your uploaded datasets — fuzzy matching on name, description, and tags. Returns each dataset's uuid:// reference for use in create_analysis and run_analysis.

Get a secure upload token for your data file (CSV, Excel, JSON...). Returns the dataset UUID + key used everywhere else.

Browse the analyses you can run — the ones you commissioned plus the platform Standard Library (prebuilt tools; each result tagged source:'own' or 'standard_library'). Plain-language match; no query lists everything, your own first. Nothing fits? Commission it with create_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 the analysis's own dataset by default; the original stays put. Returns pipeline tracking — follow with build_status.

Browse a delivered report's individual cards (charts, tables, insights) inline in chat.

Your report library — every analysis delivered, with status and links. Pass semantic_query to search report content in plain language.

Get a shareable browser link for a report — viewable without authentication.

Run an analysis on your data. Returns a shareable interactive report URL — validated statistics you can cite, re-run, and share.

Get an analysis's parameter schema — ALWAYS call before run_analysis.