All Services

Runs a record quality audit and trailing mean series analysis on up to 200 company record completeness data points (populated_fields, required_fields), returning two independent analytical reports.

Computes a secondary-measure weighted mean and performs keyed dataset comparison on up to 200 company record completeness rows (populated_fields, required_fields), returning two analytical reports.

Performs string normalisation and base-100 indexed analytics on up to 200 company record completeness rows (populated_fields, required_fields), producing two independent reports.

Runs two local analytical reports (string normalisation and category frequency analysis) on up to 200 company record completeness rows, returning insights on populated vs required field ratios grouped by company category.

Normalises string fields and produces a date-by-category pivot report for up to 200 company record completeness rows, delivering two analytical reports per call.

Analyzes up to 200 company record completeness rows, producing string normalization and IQR-based outlier flag reports for populated_fields and required_fields metrics.

Runs string normalisation and numeric distribution analysis on up to 200 company record completeness rows (populated_fields and required_fields), returning two independent analytical reports.

Generates two analytical reports — a trailing moving average series and a date-by-category pivot table — from supplied company record completeness data (populated_fields, required_fields) for up to 200 rows.

Computes a trailing mean time series and an equal-width histogram for company record completeness data (populated_fields or required_fields) across up to 200 rows, returning two analytical reports.

Computes a trailing mean time series and fills missing values for up to 200 company record completeness data rows, delivering two analytical reports in one call.

Computes trailing moving averages and IQR-based outlier flags for company record completeness metrics (populated_fields or required_fields) across up to 200 supplied rows, producing two independent analytical reports.

Computes a trailing mean time series and a keyed dataset comparison for supplied company record completeness data (populated_fields, required_fields) across up to 200 rows, producing two independent analytical reports.

Computes a trailing mean time series and a secondary-measure weighted mean for company record completeness data (populated_fields, required_fields) across up to 200 rows, returning two independent analytical reports.

Computes a trailing mean time series and a two-measure correlation report for company record completeness data (populated_fields, required_fields) over up to 200 rows.

Computes two-measure correlation and keyed dataset comparison for supplied company record completeness data (populated_fields vs required_fields) across up to 200 rows.

Scrapes and returns competitor pricing data for a given product or URL

Searches the web via DuckDuckGo to find public competitor pages, pricing references, and comparison content focused on the consulting industry

Searches live DuckDuckGo results to find public competitor pages, pricing references, and comparison content tailored for research teams.

Searches DuckDuckGo live results to find public competitor pages, pricing references, and comparison content specifically relevant to small business contexts.

Computes adjacent row changes and base-100 index series for up to 200 rows of competitor price and package quantity data, returning two analytical reports per call.

Analyzes up to 200 competitor price records by computing adjacent row changes and an equal-width histogram for list_price or package_quantity fields.

Analyzes competitor supplied price records to detect adjacent row changes and fill explicit missing values in list_price or package_quantity fields, returning two analytical reports for up to 200 rows.

Analyzes up to 200 competitor price records by detecting adjacent row changes and flagging IQR-based statistical outliers for list_price or package_quantity fields.

Computes adjacent row changes and two-measure correlation (list_price vs package_quantity) for up to 200 rows of competitor price data, returning two independent analytical reports.

Generates two analytical reports (Base-100 index series and date-by-category pivot) from user-supplied competitor pricing data (list_price, package_quantity) for up to 200 rows.

Generates a Base-100 index series and an equal-width frequency histogram for user-supplied competitor price and package quantity data (up to 200 rows, two reports per call).

Computes a base-100 index series and fills missing values in competitor-supplied price/quantity data (up to 200 rows, 2 analytical reports per call).

Computes base-100 indexed price series and IQR-based outlier flags for up to 200 rows of competitor list_price or package_quantity data, producing two independent analytical reports.

Generates two analytical reports (Base-100 indexed series and keyed dataset comparison) for up to 200 rows of competitor price data across list_price or package_quantity fields.

Generates a Base-100 indexed price series and a two-measure correlation report for up to 200 rows of competitor-supplied pricing data (list_price and package_quantity).

Analyzes up to 200 rows of competitor price records, producing two local analytical reports: category frequency distribution and adjacent row changes for list_price or package_quantity.

Analyzes up to 200 rows of competitor pricing data to produce two local analytical reports: category frequency counts and a date-by-category pivot table for list_price or package_quantity.

Analyzes up to 200 competitor price records to produce category frequency counts and an equal-width histogram for list_price or package_quantity fields.

Analyzes up to 200 rows of competitor pricing data to produce category frequency distributions and fill missing values in list_price or package_quantity fields using zero, mean, or median imputation.

Analyzes up to 200 rows of competitor pricing data by computing category frequencies and flagging IQR-based outliers for list_price or package_quantity fields.

Analyzes supplied competitor pricing records to produce category frequency counts (by company group) and numerically ordered row rankings for list_price or package_quantity fields, across up to 200 rows.

Analyzes up to 200 competitor price records to produce category frequency distributions and a package-quantity-weighted mean of list prices (or vice versa), delivered as two independent analytical reports.

Analyzes up to 200 rows of competitor price data (list_price, package_quantity) and returns two local analytical reports: category frequency distribution and trailing mean time series.

Generates two analytical reports (daily sum series and base-100 indexed series) from user-supplied competitor price data (list_price, package_quantity) for up to 200 rows.

Analyzes up to 200 rows of competitor pricing data, returning a daily sum time series and a date-by-category pivot table for list_price or package_quantity fields.

Computes a daily sum time series and an equal-width histogram for supplied competitor price or package quantity data (up to 200 rows, 2 reports per call).

Computes daily sum time series for competitor supplied price data (list_price or package_quantity) and fills missing values using zero, mean, or median imputation, returning two analytical reports for up to 200 rows.

Runs two local analytical reports on up to 200 rows of competitor price data: a daily sum time series and a keyed dataset comparison between two supplied datasets.

Analyzes up to 200 rows of competitor pricing data by computing a daily sum time series and a Pearson correlation between list_price and package_quantity fields, returning two local analytical reports.

Analyzes up to 200 rows of competitor pricing data by producing a date-by-category pivot table and a keyed dataset comparison report for list_price or package_quantity fields.

Analyzes up to 200 rows of competitor price data to produce two local analytical reports: a duplicate key report and an adjacent row changes report for list_price or package_quantity fields.

Analyzes up to 200 rows of competitor price records (list_price, package_quantity) to produce a duplicate key report and a Base-100 indexed series for a chosen numeric field.

Analyzes up to 200 rows of competitor price data to produce a duplicate key report and a daily sum time series for list_price or package_quantity fields.

Analyzes up to 200 rows of competitor pricing data (list_price or package_quantity) to produce a duplicate key report and a date-by-category pivot table in a single call.

Runs two local analytical reports on up to 200 rows of competitor price data: identifies duplicate keys and fills missing numeric values (list_price or package_quantity) using zero, mean, or median imputation.

Analyzes up to 200 rows of competitor price records to produce a duplicate key report and a grouped numeric summary for list_price or package_quantity fields.

Analyzes up to 200 rows of competitor price records to produce a duplicate key report and IQR-based outlier flags for list_price or package_quantity fields.

Analyzes up to 200 rows of competitor price data (list_price, package_quantity) by generating a duplicate key report and a keyed dataset comparison between two supplied datasets.

Analyzes up to 200 rows of competitor price data, producing a duplicate key report and a trailing mean time series for list_price or package_quantity.

Analyzes up to 200 rows of competitor pricing data to produce a duplicate key report and a Pearson/Spearman correlation between list_price and package_quantity.

Generates two local analytical reports (equal-width histogram and date-by-category pivot) on up to 200 rows of competitor price data, analyzing list_price or package_quantity fields grouped by company and date.

Generates an equal-width histogram and fills missing values for competitor price data (list_price, package_quantity) across up to 200 rows, producing 2 analytical reports.

Generates an equal-width histogram and IQR-based outlier flags for up to 200 rows of competitor pricing data (list_price or package_quantity), returning two analytical reports per call.

Runs two local analytical reports on competitor price data: an equal-width histogram of list_price or package_quantity, plus a keyed row-by-row comparison between two supplied datasets.

Computes an equal-width histogram and a two-measure correlation report for up to 200 rows of competitor price data (list_price, package_quantity) using local analytical engines.

Analyzes up to 200 rows of competitor price data to detect exact duplicate rows and compute adjacent-row changes for list_price or package_quantity fields.

Deduplicates exact rows and flags IQR-based outliers in supplied competitor price records (list_price or package_quantity) for up to 200 rows, producing 2 independent analytical reports.

Deduplicates exact duplicate rows and computes a numeric distribution report for competitor-supplied price data (list_price or package_quantity) across up to 200 rows.

Analyzes up to 200 rows of competitor price data, returning a grouped numeric summary and adjacent row change report for list_price or package_quantity fields.

Computes grouped numeric summary statistics and a Base-100 index series for up to 200 rows of competitor price data (list_price or package_quantity), grouped by company_group.

Analyzes up to 200 rows of competitor pricing data (list_price, package_quantity) and returns two reports: a grouped numeric summary by company and a daily sum time series.

Computes grouped numeric summary statistics and fills missing values (via zero, mean, or median) for up to 200 rows of competitor price data across list_price and package_quantity fields.

Analyzes up to 200 rows of competitor price data, producing a grouped numeric summary and a keyed dataset comparison for list_price or package_quantity fields.

Analyzes user-supplied competitor pricing data by computing grouped numeric summaries and filtering records by a numeric interval across list_price or package_quantity fields.

Computes a grouped numeric summary and a secondary-measure weighted mean for user-supplied competitor price data (list_price, package_quantity) grouped by company, up to 200 rows.

Analyzes up to 200 rows of competitor price data (list_price, package_quantity) by computing grouped numeric summaries and a trailing mean time series for a chosen field.

Computes grouped numeric summary statistics and a two-measure correlation report for supplied competitor price data (list_price, package_quantity) across up to 200 rows.

Runs two local analytical reports on supplied competitor price records: IQR-based outlier flagging and a date-by-category pivot, for up to 200 rows of list_price or package_quantity data.

Analyzes up to 200 rows of competitor price data to flag IQR-based outliers and fill missing values using zero, mean, or median imputation for list_price or package_quantity fields.

Compares two supplied competitor price datasets by key, filling missing values explicitly, and returns two analytical reports covering list_price or package_quantity fields for up to 200 rows.

Analyzes up to 200 rows of competitor price data, producing a numeric distribution report and an adjacent-row change report for list_price or package_quantity.

Computes numeric distribution statistics and category frequency counts for up to 200 rows of competitor pricing data (list_price, package_quantity) using local analytical engines.

Analyzes up to 200 rows of competitor price records by running two local analytical reports: a numeric distribution and a date-by-category pivot on list_price or package_quantity fields.

Analyzes up to 200 rows of competitor price data by computing a numeric distribution report and filling missing values in list_price or package_quantity using zero, mean, or median imputation.

Analyzes up to 200 rows of competitor price records by computing a numeric distribution for a chosen field and comparing two datasets row-by-row on matched keys.

Analyzes up to 200 rows of competitor price data by computing a numeric distribution and numeric row ordering for list_price or package_quantity fields.

Analyzes competitor price and package quantity data by computing a numeric distribution report and trailing mean time series for up to 200 supplied rows.

Computes numeric distribution statistics and Pearson/rank correlation between list_price and package_quantity for up to 200 rows of competitor pricing data.

Analyzes up to 200 rows of competitor price data by filtering records within a numeric range and generating a Base-100 index series for list_price or package_quantity.

Filters competitor supplied price records by numeric range and generates a date-by-category pivot table, returning 2 analytical reports for up to 200 rows of list_price/package_quantity data.

Applies numeric interval filtering and IQR-based outlier detection to user-supplied competitor price records (list_price or package_quantity), returning up to 2 analytical reports for up to 200 rows.

Filters competitor price records by a numeric interval and computes correlation between list_price and package_quantity, returning two analytical reports for up to 200 rows.

Analyzes supplied competitor pricing data (list_price, package_quantity) by computing numeric row ordering and adjacent row changes across up to 200 rows.

Analyzes up to 200 rows of competitor pricing data, returning two local analytical reports: a numeric row ordering and a daily sum series for list_price or package_quantity fields.

Sorts competitor pricing records numerically by row and fills missing list_price or package_quantity values using zero, mean, or median imputation, returning 2 analytical reports for up to 200 rows.

Applies numeric row ordering and IQR-based outlier flagging to user-supplied competitor price records (list_price or package_quantity), returning two analytical reports for up to 200 rows.

Applies numeric row ordering and secondary-measure weighted mean analysis to user-supplied competitor price records (list_price, package_quantity), returning two analytical reports for up to 200 rows.

Applies numeric row ordering and trailing mean series analytics to up to 200 rows of competitor price data (list_price or package_quantity), returning two local analytical reports per call.

Runs two local analytical reports on supplied competitor price data: numeric row ordering and Pearson/rank correlation between list_price and package_quantity, for up to 200 rows.

Runs two local analytical reports on up to 200 competitor price records: a data quality audit and adjacent-row change detection for list_price or package_quantity fields.

Audits data quality and computes category frequencies for up to 200 rows of competitor price records (list_price, package_quantity) using two independent local analytical reports.

Runs two local analytical reports on up to 200 rows of competitor price data: a record quality audit and a date-by-category pivot table for list_price or package_quantity.

Runs two local analytical reports on up to 200 competitor price records: a record quality audit and a duplicate key report, covering list_price and package_quantity fields.

Audits data quality and removes exact duplicate rows from competitor-supplied pricing records (list_price, package_quantity) for up to 200 rows, returning two independent analytical reports.

Runs three local analytical reports on competitor pricing rows: a record quality audit, exact row deduplication, and adjacent row changes detection, for up to 200 rows of list_price or package_quantity data.