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Runs three local analytical reports on competitor price data: a record quality audit, exact row deduplication, and a base-100 index series for list_price or package_quantity fields.

Runs three analytical reports (record quality audit, exact row deduplication, and category frequencies) on up to 200 rows of competitor supplied price data containing list_price and package_quantity fields.

Runs three local analytical reports on up to 200 rows of competitor price data: a record quality audit, exact row deduplication, and a daily sum time series for list_price or package_quantity.

Runs three local analytical reports on up to 200 competitor price records: a record quality audit, exact row deduplication, and a duplicate key report, focused on list_price and package_quantity fields.

Runs three local analytical reports on competitor pricing data: a record quality audit, exact row deduplication check, and equal-width histogram for list_price or package_quantity fields.

Runs three analytical reports on up to 200 rows of competitor price data: a record quality audit, exact row deduplication check, and grouped numeric summary across list_price and package_quantity fields.

Audits record quality, deduplicates exact rows, and computes numeric distribution for up to 200 competitor price records across list_price and package_quantity fields.

Runs three local analytical reports on competitor price data: record quality audit, exact row deduplication, and numeric row ordering for list_price or package_quantity fields, across up to 200 rows.

Runs three local analytical reports on up to 200 rows of competitor price data: a record quality audit, exact row deduplication, and a trailing mean series for list_price or package_quantity.

Audits up to 200 rows of competitor pricing data (list_price, package_quantity) for quality issues and fills missing numeric values using zero, mean, or median imputation, returning two independent analytical reports.

Runs two local analytical reports on competitor pricing data: a record quality audit and a grouped numeric summary for list_price or package_quantity fields, across up to 200 rows.

Audits up to 200 rows of competitor price data for record quality issues and flags statistical outliers using IQR analysis across list_price and package_quantity fields.

Runs two local analytical reports (record quality audit and numeric distribution) on up to 200 rows of competitor-supplied pricing data covering list_price and package_quantity fields.

Runs two local analytical reports on up to 200 competitor pricing records: a record quality audit and a numeric interval filter for list_price or package_quantity fields.

Runs a record quality audit and a package_quantity-weighted mean analysis on up to 200 rows of competitor price data (list_price, package_quantity), returning two independent analytical reports.

Audits and string-normalises up to 200 rows of competitor-supplied price records (list_price, package_quantity), producing two independent analytical reports using local engines.

Runs three analytical reports (record quality audit, string normalisation, and base-100 rebase series) on up to 200 rows of competitor-supplied price data (list_price, package_quantity) using local engines with no external lookups.

Runs three local analytical reports on up to 200 competitor price records: a record quality audit, string normalisation, and category frequency analysis on list_price and package_quantity fields.

Audits data quality, normalises strings, and computes daily sum series for up to 200 rows of competitor price records (list_price, package_quantity) using three local analytical reports.

Runs three local analytical reports on up to 200 rows of competitor price data: a record quality audit, string normalisation, and a duplicate key report.

Runs three analytical reports (record quality audit, string normalisation, and equal-width histogram) on up to 200 rows of competitor supplied price data including list_price and package_quantity fields.

Audits record quality, normalises strings, and deduplicates exact rows for competitor supplied price data (list_price, package_quantity) across up to 200 rows, producing 3 independent analytical reports.

Audits up to 200 rows of competitor price data for record quality issues, normalises strings, and flags statistical outliers using IQR analysis across list_price and package_quantity fields.

Runs three analytical reports (record quality audit, string normalisation, and keyed dataset comparison) on up to 200 rows of competitor supplied price data (list_price, package_quantity) with no external lookups.

Runs three local analytical reports (record quality audit, string normalisation, numeric distribution) on up to 200 rows of competitor price data containing list_price and package_quantity fields.

Runs three analytical reports on competitor price data: record quality audit, string normalisation, and trailing mean series for list_price or package_quantity fields, across up to 200 rows.

Runs a record quality audit and a trailing mean time series report on up to 200 rows of competitor price data (list_price or package_quantity), returning two analytical reports from local engines with no external lookups.

Runs two local analytical reports on supplied competitor price records: a record quality audit and a two-measure correlation between list_price and package_quantity, for up to 200 rows.

Runs two local analytical reports on supplied competitor pricing data: string normalisation of company/date fields and a daily sum series for list_price or package_quantity, across up to 200 rows.

Normalises string fields and produces a date-by-category pivot for up to 200 rows of competitor supplied pricing data (list_price, package_quantity), returning two analytical reports per call.

Normalises strings and generates an equal-width histogram for up to 200 rows of competitor supplied price data (list_price or package_quantity).

Normalises strings and deduplicates exact rows in competitor-supplied price records (list_price, package_quantity), producing 2 analytical reports for up to 200 rows.

Normalises string fields and fills missing numeric values (list_price, package_quantity) in competitor supplied prices records using statistical imputation methods (zero, mean, or median).

Normalises string fields and produces a grouped numeric summary report for competitor-supplied pricing records (list_price, package_quantity) across up to 200 rows.

Normalises string fields and flags IQR-based outliers in competitor price records (list_price, package_quantity) for up to 200 rows, returning 2 analytical reports.

Computes trailing moving-average series and adjacent row-to-row changes for up to 200 competitor price records (list_price or package_quantity) using local analytical engines.

Computes a trailing mean time series and a date-by-category pivot table for up to 200 rows of competitor pricing data (list_price, package_quantity), returning two local analytical reports per call.

Computes a trailing mean time series and performs a keyed dataset comparison for two supplied sets of competitor price records (list_price, package_quantity), up to 200 rows each.

Computes a two-measure correlation and a secondary-measure weighted mean for up to 200 rows of competitor price data (list_price and package_quantity), returning two analytical reports.

Validates an AI skill's metadata and permissions against compliance rules before installation, returning VERIFIED or FAILED with structured violation details.

Computes adjacent row changes and base-100 indexed series for compositing graph metrics (node_count, render_seconds) over up to 200 supplied rows.

Analyzes compositing graph records (node_count, render_seconds) by computing adjacent row changes and an equal-width histogram on the selected field, returning two independent analytical reports for up to 200 rows.

Analyzes compositing graph records (node_count, render_seconds) by computing adjacent row changes and performing keyed dataset comparison across two supplied datasets, up to 200 rows each.

Analyzes compositing graph records (node_count, render_seconds) by computing adjacent row changes and two-measure correlation across up to 200 rows in two independent reports.

Generates two analytical reports (Base-100 indexed series and Date-by-category pivot) from user-supplied compositing graph records with node_count and render_seconds metrics.

Runs two analytical reports on compositing graph records: a base-100 indexed time series and a keyed dataset comparison, for up to 200 rows of node_count or render_seconds data.

Computes base-100 indexed series and secondary-measure weighted mean analytics for compositing graph records (node_count, render_seconds) on up to 200 supplied rows.

Runs two local analytical reports on compositing graph data: a Base-100 index series and a two-measure correlation analysis for node_count and render_seconds.

Analyzes compositing graph records (node_count or render_seconds) to produce category frequency distributions and adjacent row change reports in a single call.

Analyzes compositing graph records by computing category frequency distributions and base-100 indexed time series for node_count or render_seconds metrics.

Runs two analytical reports on compositing graph records: category frequency counts by asset_group and a date-by-category pivot for node_count or render_seconds, covering up to 200 rows.

Runs two local analytical reports on compositing graph records: a category frequency breakdown and an equal-width histogram for either node_count or render_seconds, over up to 200 rows.

Analyzes compositing graph records to produce category frequency distributions and IQR-based outlier flags for node_count or render_seconds fields, across up to 200 rows.

Analyzes compositing graph records by computing category frequency distributions and filtering rows by a numeric interval for node_count or render_seconds, returning two independent analytical reports.

Analyzes compositing graph records to produce category frequency distributions for asset_group and numeric ordering for a chosen field (node_count or render_seconds) across up to 200 rows.

Generates two analytical reports for compositing graph records: category frequency distribution and trailing moving average series for node_count or render_seconds fields.

Analyzes supplied compositing graph records by computing category frequencies across asset groups and the correlation between node_count and render_seconds measures, returning two independent analytical reports.

Computes daily sum series and adjacent row changes for compositing graph metrics (node_count, render_seconds) on up to 200 supplied rows.

Computes daily sum time series and base-100 indexed series for compositing graph records (node_count, render_seconds) across up to 200 rows, returning two analytical reports.

Generates two analytical reports — a daily sum time series and a date-by-category pivot table — for compositing graph metrics (node_count, render_seconds) from supplied row data.

Generates a daily sum time series and an equal-width histogram for node_count or render_seconds data from compositing graph records (up to 200 rows).

Computes daily sum time series and IQR-based outlier flags for compositing graph records (node_count or render_seconds) from up to 200 supplied rows.

Computes daily sum series and trailing mean series for compositing graph metrics (node_count, render_seconds) from supplied row data, returning two analytical reports.

Runs two analytical reports on compositing graph data: a daily sum time series and a Pearson correlation between node_count and render_seconds, for up to 200 rows.

Analyzes compositing graph records by pivoting node_count or render_seconds by date and category, and compares two supplied datasets by key — returning two independent analytical reports.

Analyzes compositing graph records to produce a duplicate key report and adjacent row change detection for node_count or render_seconds fields, up to 200 rows.

Analyzes supplied compositing graph records (node_count, render_seconds) to produce a duplicate key report and category frequency breakdown for up to 200 rows.

Runs two analytical reports on compositing graph records: a duplicate key report and a date-by-category pivot, for up to 200 rows of node_count or render_seconds data.

Runs two analytical reports on compositing graph records: a duplicate key report and an equal-width histogram, for up to 200 rows of node_count/render_seconds data.

Runs two analytical reports on compositing graph records: a duplicate key report and a grouped numeric summary for node_count or render_seconds fields (up to 200 rows).

Analyzes compositing graph records (node_count, render_seconds) to produce a duplicate key report and IQR-based outlier flags across up to 200 rows.

Analyzes compositing graph records (node_count, render_seconds) to identify duplicate row keys and compare two keyed datasets side by side, producing two independent analytical reports.

Generates an equal-width histogram and fills missing values using a specified method (zero, mean, or median) for compositing graph records containing node_count and render_seconds fields.

Generates an equal-width histogram and IQR-based outlier flags for compositing graph metrics (node_count or render_seconds) from up to 200 supplied rows.

Generates two analytical reports (equal-width histogram and keyed dataset comparison) over compositing graph records containing node count and render seconds metrics, for up to 200 rows.

Generates two analytical reports for compositing graph records: an equal-width histogram over a chosen field and a secondary-measure weighted mean, for up to 200 rows.

Runs two local statistical reports on compositing graph data: an equal-width histogram for a chosen measure and a Pearson-style correlation between node_count and render_seconds.

Runs two analytical reports on compositing graph records: exact duplicate row detection and adjacent-row change detection for node_count or render_seconds metrics.

Deduplicates rows and computes a Base-100 index series for compositing graph records (node_count, render_seconds) — two analytical reports on up to 200 supplied rows.

Deduplicates compositing graph records and produces grouped numeric summaries for node_count or render_seconds fields across up to 200 rows.

Deduplicates rows and flags IQR-based outliers in compositing graph records (node_count, render_seconds) for up to 200 rows, returning 2 analytical reports.

Deduplicates rows and performs keyed dataset comparison on compositing graph records (node_count, render_seconds) for up to 200 rows across two datasets.

Deduplicates compositing graph rows exactly and computes a secondary-measure weighted mean for node_count or render_seconds, returning 2 analytical reports for up to 200 rows.

Deduplicates compositing graph records and computes correlation between node_count and render_seconds for up to 200 supplied rows, returning two analytical reports.

Generates two analytical reports from compositing graph records: a grouped numeric summary and a base-100 indexed series for node_count or render_seconds.

Returns grouped numeric statistics (mean, median, etc.) and category frequency counts for compositing graph records containing node_count and render_seconds fields.

Generates two analytical reports for compositing graph data: a grouped numeric summary and a daily sum time series, for node_count or render_seconds metrics.

Produces two local analytical reports — a grouped numeric summary and an equal-width histogram — for compositing graph records containing node_count and render_seconds fields.

Computes grouped numeric summary statistics and IQR-based outlier flags for compositing graph records (node_count, render_seconds) on up to 200 supplied rows.

Runs two analytical reports on compositing graph records: a grouped numeric summary and a keyed dataset comparison for node_count or render_seconds fields across up to 200 rows.

Runs two analytical reports on compositing graph records: a grouped numeric summary by asset_group and a numeric interval filter on node_count or render_seconds, for up to 200 rows.

Runs two analytical reports on compositing graph records: a grouped numeric summary by asset group and a correlation analysis between node_count and render_seconds, for up to 200 rows.

Runs two analytical reports on compositing graph records — IQR-based outlier flagging and a date-by-category pivot — for up to 200 supplied rows of node_count and render_seconds data.

Runs IQR-based outlier detection and explicit missing-value imputation on compositing graph records (node_count, render_seconds) — up to 200 rows, two reports per call.

Runs two local analytical reports on compositing graph records — IQR-based outlier flagging and keyed dataset comparison — for up to 200 rows of node_count and render_seconds data.

Runs IQR-based outlier detection and two-measure correlation analysis on user-supplied compositing graph records (node_count, render_seconds) for up to 200 rows.

Analyzes compositing graph records by computing numeric distribution statistics and adjacent row change metrics for node_count or render_seconds fields across up to 200 rows.

Generates a numeric distribution report and a base-100 indexed series report for up to 200 compositing graph records (node_count or render_seconds).

Analyzes compositing graph records to produce numeric distribution stats for node_count or render_seconds, plus category frequency counts for asset_group — two analytical reports in one call.

Runs two analytical reports on compositing graph records: a numeric distribution of node_count or render_seconds, and a date-by-category pivot table grouped by asset_group.