Nexly
Secure, read-only access to your Nexly web analytics for AI assistants: traffic, top pages, sources, events, funnels, and reports.
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Что умеет
- Ai Traffic: How much human traffic arrives from AI assistants (ChatGPT, Perplexity, Gemini, Claude, Copilot, ...) for one property over a date range: total visitors and sessions plus a per-assistant b
- Breakdown Property: Break a custom data property down by value for one property over a date range (e.g. key 'currency' -> USD/EUR counts; 'source' -> where signups came from; 'code' -> error codes). R
- Get Funnel Stats: Get pass-through and drop-off statistics for one configured funnel over a date range, optionally restricted to a visitor segment. Call list_funnels first to discover funnel_id. Use t
Какие данные видит
Нужен ли аккаунт
Не нужен: сервер работает без входа
Secure, read-only access to your Nexly web analytics for AI assistants: traffic, top pages, sources, events, funnels, and reports. Connects with OAuth, no API keys needed.
Список инструментов сервера (20)
Технические названия из tools/list. Нужны только разработчикам.
| ai_traffic | How much human traffic arrives from AI assistants (ChatGPT, Perplexity, Gemini, Claude, Copilot, ...) for one property over a date range: total visitors and sessions plus a per-assistant breakdown. Use for 'is AI sending us visitors' and 'which assistant drives the most traffic'. |
| breakdown_property | Break a custom data property down by value for one property over a date range (e.g. key 'currency' -> USD/EUR counts; 'source' -> where signups came from; 'code' -> error codes). Returns each value's event count and unique visitors. Get the property key from list_custom_definitions. Optionally restrict to a segment via filters. |
| get_funnel_stats | Get pass-through and drop-off statistics for one configured funnel over a date range, optionally restricted to a visitor segment. Call list_funnels first to discover funnel_id. Use this for analytical questions about completion, conversion, or bottlenecks when an inline chart was not requested or would not add clarity. Step N counts identities that fired every event from steps 1 through N in the range; event occurrence order does not matter. |
| get_overview | Get headline stats for ALL of the user's properties at once over a date range, each with the change vs the previous equal period. Use this for broad questions like 'what's up today?' or 'how is traffic?' — one call instead of many get_stats. |
| get_report | Get one generated report in full: headline stats with changes plus top pages, sources, countries and events for the period. Get the report_id from list_reports first. |
| get_stats | Get headline stats for ONE property over a date range: unique visitors, visits, pageviews, bounce rate, average visit duration. |
| get_timeseries | Get a time series for one property: the chosen metric bucketed by interval over a date range. Use this to describe trends over time. |
| list_anomalies | List recent detected traffic anomalies (spikes/drops) for one property, newest first. Use this when the user asks about unusual changes or incidents. |
| list_custom_definitions | List the custom events (conversions the site tracks, e.g. signup, purchase, add_to_cart) and custom data properties (e.g. amount_cents, currency, source) for one property. Call this before top_events, breakdown_property, or filtering by event_name / custom_property so you use names that actually exist. |
| list_funnels | List the configured funnels for one property, including each funnel's id, name, identity (visitor or session), and steps. Call this before requesting funnel statistics so you use a funnel_id that actually exists. Step order is presentation order: events may occur in any order within the selected date range. |
| list_properties | List the analytics properties (websites/apps) the user can access. Returns each property's id, name, and the user's role. Call this first to discover app_id values for the other tools. |
| list_reports | List the generated periodic reports (weekly/monthly digests) for one property, newest period first. Each entry has the report id, cadence, period, and headline visitors/pageviews with the change vs the previous period. Use get_report to read one in full. |
| segment_stats | Headline stats (unique visitors, visits, pageviews, bounce rate, avg visit duration) for ONE property restricted to a visitor segment defined by filters. This is the correlation tool: call it once per segment to compare them (e.g. channel==Paid Search vs channel==Organic Search), or combine filters (country==US AND device_type==Mobile). Pair it with top_events to compare conversion rates across segments. |
| top_acquisition | Break visitors down by an acquisition dimension over a date range. dimension=channel gives GA4-style buckets (Direct, Organic Search, Paid Search, Organic Social, Paid Social, AI Search, Email, Referral, ...); source gives the concrete origin (utm_source or referrer host); utm_campaign / utm_medium / utm_source expose ad-campaign performance. Each bucket includes unique visitors, bounce rate and average visit duration. Use this for 'where does traffic come from' and 'how are our ad campaigns doing'. |
| top_browsers | Get the top browsers for one property over a date range, ranked by visitors. |
| top_countries | Get the top visitor countries for one property over a date range, ranked by visitors. |
| top_devices | Get the top device types for one property over a date range, ranked by visitors. |
| top_events | Top custom events (conversions) for one property over a date range: each event's total count, unique visitors, and conversion rate (share of the period's visitors who did it). Optionally restrict to a visitor segment via filters (e.g. only Paid Search visitors, or only one country) to compare how segments convert. Use this for questions about signups, purchases, downloads, and other tracked actions. |
| top_pages | Get the most visited pages (paths) for one property over a date range, ranked by visitors. |
| top_sources | Get the top acquisition sources (where visitors came from) for one property over a date range, ranked by visitors. |