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Analyzes supplied job listing inventory records to produce IQR-based outlier flags and a date-by-category pivot table for up to 200 rows.

Runs IQR-based outlier detection and secondary-measure weighted mean analysis on job listing inventory data (listing_count, duplicate_listings) for up to 200 rows, returning two analytical reports.

Compares two job listing inventory datasets by key, filling missing values explicitly, and returns 2 analytical reports covering listing_count and duplicate_listings fields for up to 200 rows.

Generates numeric distribution statistics and a Base-100 index series for supplied job listing inventory data (listing_count and duplicate_listings fields), producing two analytical reports for up to 200 rows.

Computes numeric distribution statistics and category frequency reports for job listing inventory data (listing_count, duplicate_listings) across up to 200 supplied rows.

Computes numeric distribution statistics and an equal-width histogram for job listing inventory data (listing_count and duplicate_listings) across up to 200 supplied rows.

Computes numeric distribution statistics and fills missing values (zero, mean, or median) for job listing inventory data (listing_count, duplicate_listings) across up to 200 rows.

Computes a numeric distribution report and a grouped numeric summary for up to 200 job listing inventory records (listing_count, duplicate_listings fields).

Computes numeric distribution statistics and IQR-based outlier flags for job listing inventory fields (listing_count or duplicate_listings) across up to 200 supplied rows, producing two independent analytical reports.

Analyzes job listing inventory records (listing_count, duplicate_listings) by computing numeric distribution stats and performing a keyed comparison between two supplied datasets, returning two independent analytical reports.

Computes a numeric distribution report and an interval-filtered subset report for job listing inventory data (listing_count and duplicate_listings fields) across up to 200 supplied rows.

Computes numeric distribution statistics and trailing mean time series for job listing inventory data (listing_count, duplicate_listings) across up to 200 rows, returning two analytical reports.

Computes numeric distribution statistics and a two-measure correlation report for up to 200 rows of job listing inventory data (listing_count and duplicate_listings).

Filters job listing inventory rows by a numeric range and computes a Base-100 index series for up to 200 supplied records across listing_count or duplicate_listings fields.

Applies a numeric interval filter and computes a daily sum time series on supplied job listing inventory data (listing_count, duplicate_listings) for up to 200 rows.

Filters job listing inventory rows by a numeric range on a chosen field and pivots date-based records by company category, returning two analytical reports for up to 200 supplied rows.

Applies numeric interval filtering and IQR-based outlier detection to job listing inventory records (listing_count, duplicate_listings), producing two analytical reports for up to 200 rows.

Applies a numeric interval filter and a keyed dataset comparison to two supplied job listing inventory datasets (listing_count, duplicate_listings) of up to 200 rows each, returning two analytical reports.

Filters job listing inventory rows by a numeric interval on a chosen field and computes a weighted mean of a secondary measure across the filtered dataset, returning up to two independent analytical reports for up to 200 rows.

Filters job listing inventory rows by a numeric interval and computes a trailing mean series for listing_count or duplicate_listings, returning two analytical reports for up to 200 supplied rows.

Filters job listing inventory rows by a numeric interval on a chosen field and computes a correlation between listing_count and duplicate_listings across up to 200 supplied rows.

Computes numeric row ordering and adjacent row changes for job listing inventory data (listing_count, duplicate_listings) across up to 200 supplied rows, returning 2 analytical reports.

Generates numeric row ordering and equal-width histogram reports for job listing inventory data (listing_count, duplicate_listings) — up to 200 rows, 2 reports per call.

Ranks rows numerically and flags IQR-based outliers for job listing inventory data (listing_count, duplicate_listings) across up to 200 supplied records.

Sorts job listing inventory rows by a numeric field and filters them to a specified numeric interval, returning up to 200 rows across 2 independent analytical reports.

Computes numeric row ordering and trailing mean series analytics on supplied job listing inventory data (listing_count, duplicate_listings) for up to 200 rows, returning 2 analytical reports.

Runs two analytical reports on up to 200 rows of job listing inventory data: a record quality audit and a base-100 index series for listing_count or duplicate_listings.

Audits record quality and computes category frequencies for supplied job listing inventory data (listing_count, duplicate_listings) across up to 200 rows, returning two independent analytical reports.

Performs a record quality audit and daily sum series analysis on up to 200 rows of job listing inventory data (listing_count, duplicate_listings) in a single call, returning two independent analytical reports.

Runs two analytical reports on supplied job listing inventory data: a record quality audit and a date-by-category pivot, using listing_count and duplicate_listings fields.

Audits record quality and identifies duplicate keys in job listing inventory data (listing_count, duplicate_listings) across up to 200 rows, returning two independent analytical reports.

Runs a record quality audit and an equal-width histogram report on up to 200 rows of job listing inventory data (listing_count, duplicate_listings) for a chosen numeric field.

Runs three analytical reports on supplied job listing inventory data: a record quality audit, exact row deduplication, and a base-100 indexed time series — all locally, with no external lookups.

Runs three local analytical reports on supplied job listing inventory rows: record quality audit, exact row deduplication, and category frequency analysis — all offline, no external lookups.

Runs three analytical reports on supplied job listing inventory data: record quality audit, exact row deduplication, and daily sum time series for listing_count or duplicate_listings.

Audits record quality, deduplicates exact rows, and generates a duplicate key report for job listing inventory data (listing_count, duplicate_listings) — up to 200 rows, 3 analytical reports per call.

Runs three local analytical reports on job listing inventory data: a record quality audit, exact row deduplication check, and equal-width histogram for up to 200 rows.

Runs three local analytical reports on job listing inventory data: a record quality audit, exact row deduplication, and a grouped numeric summary of listing_count or duplicate_listings fields.

Audits supplied job listing inventory records for quality issues, exact duplicate rows, and IQR-based outlier flags across listing_count and duplicate_listings fields — up to 200 rows, three reports per call.

Audits record quality, deduplicates exact rows, and filters by numeric interval for job listing inventory datasets (listing_count, duplicate_listings) — three independent analytical reports in one call.

Runs three local analytical reports on supplied job listing inventory data: record quality audit, exact row deduplication, and numeric row ordering — up to 200 rows per call.

Runs three local analytical reports on job listing inventory data: a record quality audit, exact row deduplication, and a trailing mean time series — all without external lookups or predictions.

Runs two local analytical reports on job listing inventory data: a record quality audit and a grouped numeric summary, for up to 200 rows.

Runs two analytical reports on supplied job listing inventory data: a record quality audit and a keyed dataset comparison between two sets of rows (up to 200 rows each).

Audits data quality and applies numeric row ordering to supplied job listing inventory records (listing_count, duplicate_listings) for up to 200 rows, producing 2 independent analytical reports.

Performs a record quality audit and secondary-measure weighted mean computation on supplied job listing inventory data (listing_count, duplicate_listings) for up to 200 rows.

Audits record quality and normalises strings for up to 200 rows of job listing inventory data (listing_count, duplicate_listings), producing two independent analytical reports.

Runs three local analytical reports (record quality audit, string normalisation, and adjacent row changes) on up to 200 rows of job listing inventory data containing listing_count and duplicate_listings fields.

Runs three analytical reports (record quality audit, string normalisation, and base-100 index series) on up to 200 rows of job listing inventory data containing listing counts and duplicate listing figures.

Runs three analytical reports on job listing inventory data: record quality audit, string normalisation, and daily sum series aggregation for up to 200 rows.

Runs three local analytical reports on job listing inventory data: a record quality audit, string normalisation, and duplicate key detection — for up to 200 rows.

Runs three local analytical reports on job listing inventory data: a record quality audit, string normalisation, and an equal-width histogram across up to 200 rows.

Audits job listing inventory records for quality, normalises strings, and fills missing values for up to 200 rows across 3 independent analytical reports.

Runs three local analytical reports on job listing inventory data: a record quality audit, string normalisation, and a grouped numeric summary for listing_count and duplicate_listings fields.

Runs three local analytical reports on supplied job listing inventory data: a record quality audit, string normalisation, and keyed dataset comparison between two input arrays (up to 200 rows each).

Runs three local analytical reports on supplied job listing inventory data: record quality audit, string normalisation, and numeric interval filtering for listing_count or duplicate_listings fields across up to 200 rows.

Performs record quality audit, string normalisation, and numeric row ordering on job listing inventory data (listing_count, duplicate_listings) for up to 200 rows, returning 3 independent analytical reports.

Runs three analytical reports on job listing inventory data: record quality audit, string normalisation, and trailing mean series computation, for up to 200 rows.

Runs three analytical reports (record quality audit, string normalisation, and two-measure correlation) on up to 200 rows of job listing inventory data containing listing_count and duplicate_listings fields.

Audits data quality and computes a two-measure correlation between listing_count and duplicate_listings for up to 200 rows of job listing inventory data.

Computes a secondary-measure weighted mean and a date-by-category pivot table for supplied job listing inventory records (listing_count, duplicate_listings) in two independent reports.

Computes a secondary-measure weighted mean and fills missing values in job listing inventory data (listing_count, duplicate_listings) for up to 200 rows, returning 2 analytical reports.

Applies string normalisation and Base-100 indexing to user-supplied job listing inventory data (listing_count, duplicate_listings), producing two analytical reports for up to 200 rows.

Analyses up to 200 job listing inventory rows, returning string-normalised fields and category frequency counts for listing_count and duplicate_listings across company groups.

Performs string normalisation and daily sum series computation on up to 200 job listing inventory rows (listing_count, duplicate_listings) using local analytical engines, returning two reports per call.

Normalises string fields and produces a date-by-category pivot table for supplied job listing inventory records (listing_count, duplicate_listings) across up to 200 rows.

Normalises strings and identifies exact duplicate rows in job listing inventory data (listing_count, duplicate_listings) for up to 200 rows, producing 2 analytical reports.

Normalises strings and fills missing values (using zero, mean, or median) for job listing inventory records containing listing_count and duplicate_listings fields, returning two analytical reports for up to 200 rows.

Normalises strings and produces a grouped numeric summary report for up to 200 job listing inventory rows, covering listing_count and duplicate_listings fields.

Runs string normalisation and numeric distribution analysis on up to 200 rows of job listing inventory data (listing_count, duplicate_listings), returning two independent analytical reports.

Normalises strings and computes two-measure (listing_count vs duplicate_listings) correlation reports for up to 200 rows of job listing inventory data.

Computes a two-measure Pearson/rank correlation and a date-by-category pivot table for supplied job listing inventory records (listing_count, duplicate_listings) across up to 200 rows.

Runs two local analytical reports on job listing inventory data: a Pearson/Spearman correlation between listing_count and duplicate_listings, plus a keyed row-by-row comparison between two supplied datasets.

Computes a two-measure correlation between listing_count and duplicate_listings, plus a weighted mean for a selected secondary measure, across up to 200 rows of job listing inventory data.

Searches live Bing web results to find public job listings and hiring trend data specifically within the consulting industry.

Searches live Bing web results to find public job listings and hiring trend data specifically for the procurement field.

Searches live web results via Bing to find public job listings and hiring trend data specifically focused on product teams and product management roles.

Searches live public web pages for salary evidence and hiring trends focused on analyst roles, returning source links and snippets.

Searches live public web pages for salary range and compensation data specifically for operations team roles, returning source links and snippets.

Searches live public web pages for job market salary data and hiring trends specifically relevant to technology buyers, returning source links and snippets.

Returns OSV advisory fixed-version boundaries for a specific version of the npm package joi, indicating which versions resolve known vulnerabilities.

Retrieves install lifecycle hook metadata from the npm registry for the joi validation package, supporting integration and upgrade planning.

Returns module and type entrypoints from npm registry metadata for the joi validation library package, supporting integration and upgrade planning.

Analyzes join coverage data (matched_rows, source_rows) across up to 200 rows, producing two reports: adjacent row-over-row change analysis and a date-by-category pivot table.

Runs two local statistical reports on join coverage data (matched_rows, source_rows): adjacent row-to-row change analysis and an equal-width histogram, for up to 200 rows.

Analyzes join coverage records (matched_rows, source_rows) to produce adjacent row change detection and IQR-based outlier flags across up to 200 rows in two independent analytical reports.

Computes two analytical reports on join coverage data: adjacent row-to-row changes and a secondary-measure weighted mean, given matched_rows and source_rows per record.

Generates two local analytical reports — a Base-100 indexed time series and a Date × Category pivot table — from supplied join coverage data (matched_rows, source_rows).

Generates a Base-100 indexed time series and an equal-width histogram for join coverage data (matched_rows vs source_rows) across up to 200 rows in two independent analytical reports.

Computes a base-100 indexed time series and fills missing values (zero, mean, or median) for join coverage metrics (matched_rows, source_rows) across up to 200 supplied rows, returning 2 analytical reports.

Computes a Base-100 indexed time series and a keyed dataset comparison report for join coverage metrics (matched_rows, source_rows) across up to 200 supplied rows, producing two independent analytical reports.

Computes a base-100 index series and a secondary-measure weighted mean for join coverage data (matched_rows vs source_rows) across up to 200 rows, grouped by dataset_group and date.

Computes a base-100 indexed time series and a two-measure correlation report for supplied join coverage data (matched_rows vs source_rows) across up to 200 rows.

Analyzes join coverage records (matched_rows, source_rows) to produce two local reports: category frequency distribution by dataset_group and adjacent row-to-row change detection for a selected numeric field.

Computes category frequency distributions and a base-100 indexed time series for join coverage metrics (matched_rows, source_rows) across up to 200 supplied rows.

Analyzes join coverage records (matched_rows, source_rows) to produce two local statistical reports: category frequency distributions by dataset_group and daily sum time series.

Generates two analytical reports for join coverage data — category frequency distribution and a date-by-category pivot — for up to 200 supplied rows of matched_rows/source_rows metrics.

Computes category frequency counts and an equal-width histogram for join coverage metrics (matched_rows, source_rows) across up to 200 supplied records.

Analyzes join coverage records (matched_rows, source_rows) by computing category frequencies and filling missing values using zero, mean, or median imputation — returns 2 analytical reports for up to 200 rows.

Computes category frequencies and IQR-based outlier flags for join coverage records (matched_rows, source_rows) across up to 200 rows, producing 2 independent analytical reports.