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Runs three analytical reports on company headcount observation rows: a record quality audit, string normalisation, and a grouped numeric summary for headcount or open_roles data.

Audits record quality, normalises strings, and flags IQR-based outliers across up to 200 company headcount observation rows, returning 3 independent analytical reports.

Audits data quality, normalises strings, and orders rows numerically for up to 200 company headcount observation records (headcount and open_roles fields) across 3 independent analytical reports.

Runs three analytical reports on up to 200 company headcount/open-roles records: record quality audit, string normalisation, and secondary-measure weighted mean computation.

Runs three analytical reports on company headcount observation records: a record quality audit, string normalisation, and a trailing mean time series for a chosen field.

Audits data quality, normalises strings, and computes correlation between headcount and open_roles for up to 200 company headcount observation records.

Audits record quality and computes correlation between headcount and open_roles for up to 200 company headcount observation rows.

Computes a secondary-measure weighted mean and a date-by-category pivot table for supplied company headcount and open-roles data (up to 200 rows, 2 reports per call).

Computes a secondary-measure weighted mean and fills missing values in company headcount observation records (headcount and open_roles) for up to 200 rows.

Computes a secondary-measure weighted mean on company headcount or open-roles data and compares two supplied datasets row-by-row, returning two analytical reports for up to 200 rows.

Applies string normalisation and adjacent row change detection to up to 200 company headcount observation records, returning two analytical reports.

Normalises string fields and computes a Base-100 index series for supplied company headcount (or open_roles) observation records across up to 200 rows.

Normalises string fields and computes category frequency distributions for up to 200 company headcount observation records (headcount, open_roles).

Normalises company name strings and pivots headcount/open_roles observations by date and category group, producing two analytical reports from supplied row data.

Runs string normalisation and an equal-width histogram analysis on supplied company headcount observation records (headcount and open_roles fields), returning two analytical reports for up to 200 rows.

Normalises strings and deduplicates exact rows in company headcount observation records (headcount, open_roles fields) for up to 200 rows, returning 2 analytical reports.

Normalises string fields and fills missing values (headcount or open_roles) in company headcount observation records using zero, mean, or median imputation across up to 200 rows.

Normalises string fields and flags IQR-based outliers in company headcount and open-roles observation data for up to 200 rows, producing two analytical reports.

Normalises company name strings and compares two sets of headcount/open-roles observations row-by-row using local analytical engines, returning two reports for up to 200 rows.

Analyzes up to 200 company headcount observation records by producing string normalization and numeric distribution reports for headcount and open_roles fields.

Performs string normalisation and computes a trailing mean time series for supplied company headcount or open-roles observation records (up to 200 rows, 2 analytical reports per call).

Normalises company group strings and computes a two-measure Pearson/rank correlation between headcount and open_roles across up to 200 supplied company observation rows.

Computes a trailing moving average series and adjacent row-to-row delta changes for supplied company headcount or open-roles time-series data, returning two analytical reports in one call.

Computes a trailing mean time series and an equal-width histogram for supplied company headcount or open-roles data, returning two analytical reports in one call.

Computes a trailing mean time series and fills missing values in company headcount observation data (headcount, open_roles) for up to 200 rows.

Computes a trailing moving-average series and IQR-based outlier flags for company headcount or open-roles time-series data (up to 200 rows, 2 reports per call).

Computes a trailing mean time series and a keyed dataset comparison for up to 200 rows of company headcount or open-roles data, returning two analytical reports per call.

Computes a trailing mean time series and a secondary-measure weighted mean for company headcount and open-roles data, returning two analytical reports for up to 200 supplied rows.

Computes Pearson correlation between headcount and open_roles, plus a weighted mean of the secondary measure, across up to 200 supplied company headcount observation rows.

Searches live public job listings to identify companies hiring integration developers, surfacing signals about their capability and product focus.

Searches live public job listings to surface hiring signals indicating a company's security capability or product focus

Fetches recent Google News RSS results about company announcements, earnings, and acquisitions, summarized specifically for product team audiences.

Computes adjacent row-to-row changes and base-100 indexed series for company record completeness metrics (populated_fields, required_fields) across up to 200 supplied rows.

Analyzes company record completeness data (populated_fields, required_fields) by computing adjacent row changes and an equal-width histogram in a single paid API call.

Analyzes company record completeness data (populated_fields, required_fields) using two local analytical reports: adjacent row change detection and keyed dataset comparison, for up to 200 rows.

Analyzes up to 200 company record completeness rows to produce two local analytical reports: adjacent row changes and two-measure correlation for populated_fields and required_fields.

Generates two analytical reports (Base-100 indexed time series and a date-by-category pivot) from supplied company record completeness data, measuring populated vs. required fields across company groups.

Generates two analytical reports — a Base-100 indexed time series and an equal-width frequency histogram — from supplied company record completeness data (populated_fields, required_fields) for up to 200 rows.

Generates a Base-100 indexed time series and fills missing values for company record completeness data (populated_fields, required_fields) across up to 200 rows, using local analytical engines.

Analyzes supplied company record completeness data (populated_fields, required_fields) to produce Base-100 indexed time series and IQR-based outlier flags across up to 200 rows, delivering two independent analytical reports.

Analyzes company record completeness data (populated_fields vs required_fields) by producing a Base-100 index series and a keyed dataset comparison report for up to 200 rows.

Computes a Base-100 index series and a secondary-measure weighted mean for up to 200 company record completeness data rows (populated_fields, required_fields), returning two independent analytical reports.

Computes a Base-100 indexed time series and a two-measure correlation report for company record completeness data (populated_fields vs required_fields) across up to 200 rows.

Analyzes company record completeness data (populated_fields, required_fields) by computing category frequencies and adjacent row changes across up to 200 rows, returning two analytical reports.

Analyzes up to 200 company record completeness rows to produce two reports: category-level frequency distributions and daily sum time series for populated_fields or required_fields.

Computes category-frequency distributions and fills missing values (populated_fields or required_fields) using zero, mean, or median imputation for up to 200 company record completeness rows.

Analyzes up to 200 company record completeness rows, returning category frequency distributions and a secondary-measure weighted mean for populated_fields or required_fields.

Computes a daily sum series and adjacent row changes for company record completeness metrics (populated_fields, required_fields) across up to 200 supplied rows.

Generates daily sum series and base-100 index series for company record completeness metrics (populated_fields and required_fields) across up to 200 supplied rows.

Generates two analytical reports (daily sum time series and date-by-category pivot) from supplied company record completeness data (populated_fields, required_fields) for up to 200 rows.

Generates two analytical reports (daily sum time series and equal-width histogram) from supplied company record completeness data (populated_fields and required_fields) for up to 200 rows.

Runs two local analytical reports on company record completeness data: a daily sum time series and a keyed dataset comparison, for up to 200 rows of populated_fields and required_fields metrics.

Computes daily sum time series and trailing moving-average series for company record completeness metrics (populated_fields and required_fields) across up to 200 supplied rows.

Pivots company record completeness data by date and category, then fills missing values using zero, mean, or median imputation — returning two analytical reports for up to 200 rows.

Generates a duplicate key report and a base-100 indexed series from supplied company record completeness data (populated_fields, required_fields) for up to 200 rows.

Analyzes up to 200 company record completeness rows to produce a duplicate key report and category frequency breakdown for populated_fields and required_fields values.

Analyzes up to 200 company record completeness rows to produce a duplicate key report and a daily sum time series for populated_fields or required_fields.

Runs two local analytical reports (duplicate key detection and date-by-category pivot) on supplied company record completeness data with populated_fields and required_fields metrics, for up to 200 rows.

Analyzes up to 200 company record completeness rows to produce a duplicate key report and a grouped numeric summary for populated_fields or required_fields.

Analyzes up to 200 company record completeness rows to produce a duplicate key report and IQR-based outlier flags for populated_fields or required_fields values.

Generates a duplicate key report and numeric distribution analysis for company record completeness data (populated_fields, required_fields) across up to 200 rows.

Runs two local analytical reports on company record completeness data: a duplicate key report and a numeric interval filter for populated_fields or required_fields values.

Analyzes company record completeness data (populated_fields, required_fields) by generating an equal-width histogram and a date-by-category pivot report from up to 200 supplied rows.

Generates an equal-width histogram and explicit missing-value fill report for up to 200 company record completeness rows across populated_fields and required_fields.

Generates equal-width histogram and IQR-based outlier flag reports for company record completeness data (populated_fields or required_fields) across up to 200 rows.

Generates two analytical reports on company record completeness data: an equal-width histogram of a chosen field and a keyed dataset comparison between two supplied datasets, for up to 200 rows each.

Computes an equal-width histogram and a secondary-measure weighted mean for up to 200 company record completeness data rows, returning two analytical reports in one call.

Generates an equal-width histogram and a two-measure correlation report for company record completeness data (populated_fields vs required_fields) across up to 200 rows.

Performs exact row deduplication and adjacent row change analysis on company record completeness data (populated_fields, required_fields) for up to 200 rows, returning 2 independent analytical reports.

Deduplicates exact rows and produces a date-by-category pivot report for company record completeness data (populated_fields, required_fields) — two analytical reports for up to 200 rows.

Analyzes company record completeness data by deduplicating exact duplicate rows and generating an equal-width histogram distribution report for populated_fields or required_fields metrics.

Deduplicates exact rows and flags IQR outliers in company record completeness data (populated_fields, required_fields) for up to 200 rows, producing 2 independent analytical reports.

Deduplicates company record completeness rows exactly and filters them by a numeric interval on populated_fields or required_fields, returning two analytical reports for up to 200 rows.

Deduplicates company record completeness rows and computes a trailing mean time series for populated_fields or required_fields across up to 200 records in two combined reports.

Generates two analytical reports on company record completeness data: a grouped numeric summary by company group and an adjacent row change analysis, for up to 200 rows of populated_fields/required_fields data.

Analyzes up to 200 company record completeness rows, producing a grouped numeric summary and a Base-100 indexed series for populated_fields or required_fields.

Analyzes up to 200 company record completeness rows, producing a grouped numeric summary and category frequency report for populated_fields and required_fields across company groups.

Computes a grouped numeric summary and equal-width histogram for company record completeness data (populated_fields and required_fields) across up to 200 rows.

Generates two analytical reports on company record completeness data: a grouped numeric summary by company group and an explicit missing-value fill for populated_fields or required_fields columns.

Computes grouped descriptive statistics and IQR-based outlier flags for company record completeness data (populated_fields, required_fields) across up to 200 rows, producing two analytical reports.

Computes a grouped numeric summary and a secondary-measure weighted mean for company record completeness data (populated_fields, required_fields) across up to 200 rows.

Computes a grouped numeric summary and a trailing mean series for company record completeness metrics (populated_fields, required_fields) across up to 200 supplied rows.

Performs grouped numeric summary statistics and two-measure correlation analysis on company record completeness data (populated_fields vs required_fields) for up to 200 supplied rows.

Runs two local analytical reports on company record completeness data: IQR-based outlier detection on populated_fields or required_fields, and a date-by-category pivot table, for up to 200 rows.

Runs IQR-based outlier detection and explicit missing-value imputation on up to 200 company record completeness rows (populated_fields, required_fields), returning two analytical reports.

Runs two statistical reports on company record completeness data: IQR-based outlier detection and a keyed dataset comparison, for up to 200 rows of populated_fields and required_fields metrics.

Analyzes up to 200 company record completeness rows to produce two statistical reports: IQR-based outlier flags and a secondary-measure weighted mean, using local analytical engines with no external lookups.

Runs IQR-based outlier detection and two-measure correlation analysis on company record completeness data (populated_fields, required_fields) for up to 200 rows, returning two analytical reports.

Compares two company record completeness datasets by key and fills missing values, generating 2 analytical reports for up to 200 rows of populated_fields and required_fields data.

Runs two local analytical reports on company record completeness data: a numeric distribution analysis and an adjacent-row change analysis for up to 200 rows.

Analyzes supplied company record completeness data (populated_fields, required_fields) producing numeric distribution statistics and category frequency reports for up to 200 rows.

Analyzes company record completeness data (populated_fields, required_fields) to produce a numeric distribution report and a daily sum time series report for up to 200 rows.

Generates two local analytical reports for company record completeness data: a numeric distribution analysis and a date-by-category pivot table, for up to 200 rows of populated/required field counts.

Generates two local analytical reports for company record completeness data: a numeric distribution summary and an explicit missing-value fill for populated_fields or required_fields columns, over up to 200 rows.

Generates a numeric distribution report and a grouped numeric summary for company record completeness data (populated_fields, required_fields) across up to 200 rows.

Computes numeric distribution statistics and IQR-based outlier flags for up to 200 company record completeness rows (populated_fields or required_fields), returning two analytical reports per call.

Generates two analytical reports — a numeric distribution and a keyed dataset comparison — for company record completeness metrics (populated_fields, required_fields) across up to 200 rows.

Computes a numeric distribution report and a numeric interval filter report for company record completeness data (populated_fields, required_fields) across up to 200 supplied rows.

Computes numeric distribution statistics and row ordering analysis for company record completeness data (populated_fields, required_fields) across up to 200 rows, returning two analytical reports.

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