List the websites (id, name, domain) visible to these credentials. Start here to get a websiteId.

The earliest and latest timestamps with collected data for a website. Call this before querying ranges so you don't ask for windows that have no data.

Summary metrics for one website over a date range: pageviews, visitors, visits, bounces, total time (each with the prior-period value for comparison).

Time series of pageviews and sessions for a website over a date range, bucketed by unit.

Live activity for a website over the last ~30 minutes: active visitors, recent views and events.

Top values for one dimension of a website's traffic over a date range — e.g. type=url for top pages, type=referrer for top referrers, type=browser / os / device / country / event. Set expanded=true for engagement detail (visitors, visits, bounce, duration per row).

Time series of tracked custom events for a website over a date range, bucketed by unit.

Drill into custom-event PROPERTIES (not just counts over time). Modes: events = event names + counts; properties = property names per event; fields = property/value counts; stats = totals; values = counts for one event+property (both required for this mode).

List individual visitor sessions for a website over a date range (paginated). Each session carries browser/OS/device, geo, and visit/view/event counts. Use it to answer per-visitor questions.

Everything about one session: its summary, its activity log (the pages/events in order), and its custom properties — fetched together. Get a sessionId from list_sessions first.

Conversion funnel: given an ordered list of steps (each a page path or an event), how many visitors reach each step and where they drop off. Minimum two steps.

Retention: of the visitors first seen in the range, what fraction return on each subsequent day. Requires a timezone.

User journeys: the common navigation paths between a starting step and an (optional) ending step, over a chosen number of steps (3–7).