All Services

Analyzes join coverage records by computing category frequency distributions and applying a numeric interval filter on matched_rows or source_rows fields, returning two reports for up to 200 rows.

Analyzes join coverage records (matched_rows, source_rows) to produce category frequency distributions by dataset_group and numeric row ordering for up to 200 rows.

Computes category-frequency distributions and a secondary-measure weighted mean for join coverage records (matched_rows, source_rows) across up to 200 rows in two independent analytical reports.

Computes category frequency distributions and trailing mean time series for join coverage metrics (matched_rows, source_rows) across up to 200 supplied records.

Generates two analytical reports (daily sum series and base-100 indexed series) for join coverage data tracking matched_rows and source_rows across dates and dataset groups.

Analyzes join coverage data (matched_rows, source_rows) by generating a daily sum time series and a date-by-category pivot table, returning two independent analytical reports for up to 200 rows.

Computes a daily sum time series for join coverage metrics (matched_rows, source_rows) and fills missing values using zero, mean, or median imputation, returning two analytical reports for up to 200 rows.

Computes daily sum time series and IQR-based outlier flags for join coverage metrics (matched_rows, source_rows) from supplied row data

Pivots join coverage data (matched_rows, source_rows) by date and category, then fills missing values using zero, mean, or median imputation — producing two analytical reports for up to 200 rows.

Analyzes join coverage data (matched_rows, source_rows) by producing a date-by-category pivot table and a keyed dataset comparison report for two supplied datasets, up to 200 rows each.

Analyzes up to 200 join coverage records to produce a duplicate key report and category frequency distribution across dataset groups.

Analyzes join coverage records (matched_rows, source_rows) to produce two reports: a duplicate key detection report and a date-by-category pivot table, for up to 200 rows.

Analyzes join coverage records to identify duplicate keys and fill missing values in matched_rows or source_rows fields using zero, mean, or median imputation.

Generates two local analytical reports — a duplicate key report and a grouped numeric summary — for supplied join coverage records with matched_rows and source_rows fields.

Analyzes join coverage records (matched_rows, source_rows) for duplicate keys and IQR-based outlier flags across up to 200 rows, producing two independent analytical reports.

Analyzes join coverage data to detect duplicate keys and compare two keyed datasets across matched_rows and source_rows metrics, producing two independent analytical reports.

Analyzes join coverage data (matched_rows, source_rows) to produce a duplicate key report and numeric distribution summary for up to 200 rows.

Analyzes join coverage data (matched_rows, source_rows) to produce a duplicate key report and numeric row ordering for up to 200 supplied rows.

Analyzes join coverage records (matched_rows, source_rows) to produce a duplicate key report and a secondary-measure weighted mean — two analytical reports from a single batch of up to 200 rows.

Analyzes join coverage records to produce a duplicate key report and a Pearson/rank correlation between matched_rows and source_rows for up to 200 rows.

Runs two local analytical reports on join coverage data — an equal-width histogram and a date-by-category pivot — for up to 200 rows of matched_rows/source_rows data.

Computes an equal-width histogram and performs a keyed dataset comparison on two supplied sets of join coverage records (matched_rows, source_rows) — up to 200 rows each, fully local, no external lookups.

Computes an equal-width histogram and secondary-measure weighted mean for join coverage records (matched_rows, source_rows) supplied in the request body.

Deduplicates exact rows and computes daily sum time series for join coverage data (matched_rows, source_rows) across up to 200 supplied records.

Deduplicates rows and computes an equal-width histogram for join coverage data (matched_rows, source_rows) supplied by the caller — up to 200 rows, 2 reports per call.

Deduplicates exact rows and flags IQR-based outliers in join coverage data (matched_rows, source_rows) for up to 200 records, producing 2 independent analytical reports.

Performs exact row deduplication and keyed dataset comparison on two sets of join coverage records (matched_rows, source_rows), returning two independent analytical reports for up to 200 rows each.

Analyzes supplied join coverage data (matched_rows, source_rows) producing two reports: a grouped numeric summary by dataset_group and an adjacent row change analysis, for up to 200 rows.

Computes grouped numeric summary statistics and category frequency distributions for join coverage records (matched_rows, source_rows) across up to 200 rows.

Computes a grouped numeric summary and a daily sum time series for join coverage data (matched_rows, source_rows) across up to 200 supplied rows.

Generates two statistical reports on join coverage data: a grouped numeric summary and a date-by-category pivot for matched_rows and source_rows metrics.

Analyzes join coverage records by producing a grouped numeric summary and a keyed dataset comparison for matched_rows and source_rows metrics across up to 200 rows.

Computes grouped numeric summary statistics and secondary-measure weighted mean for join coverage data (matched_rows, source_rows) across dataset groups.

Computes a grouped numeric summary and a trailing mean series for join coverage records (matched_rows, source_rows) across up to 200 rows, returning two analytical reports.

Computes a grouped numeric summary and a two-measure correlation report for join coverage data (matched_rows, source_rows) across up to 200 supplied rows.

Runs two local analytical reports on join coverage data: IQR-based outlier flagging and a date-by-category pivot, for up to 200 rows of matched_rows/source_rows records.

Runs IQR-based outlier detection and missing-value imputation on join coverage records (matched_rows, source_rows) for up to 200 rows, returning two independent analytical reports.

Runs two analytical reports on join coverage data: IQR-based outlier detection and a keyed comparison between two datasets, for up to 200 rows of matched_rows/source_rows records.

Analyzes join coverage data (matched_rows, source_rows) to flag IQR-based outliers and compute a secondary-measure weighted mean across up to 200 rows in two independent reports.

Analyzes join coverage data (matched_rows, source_rows) by producing two local analytical reports: a numeric distribution summary and an adjacent row change analysis, for up to 200 rows.

Computes a numeric distribution report and a base-100 indexed series for join coverage metrics (matched_rows, source_rows) from up to 200 supplied records.

Computes numeric distribution statistics and category frequency counts for join coverage data (matched_rows, source_rows) across up to 200 rows in two independent analytical reports.

Generates a numeric distribution summary and equal-width histogram for join coverage metrics (matched_rows, source_rows) across up to 200 supplied records.

Computes numeric distribution statistics and fills missing values (zero, mean, or median) for join coverage records tracking matched_rows and source_rows across dataset groups.

Analyzes join coverage data (matched_rows vs source_rows) by producing a numeric distribution report and a keyed dataset group comparison report for up to 200 supplied rows.

Computes a numeric distribution and secondary-measure weighted mean for join coverage records (matched_rows, source_rows) across up to 200 supplied rows.

Applies a numeric interval filter and computes a base-100 index series on join coverage records (matched_rows, source_rows) for up to 200 rows, returning two independent analytical reports.

Applies a numeric interval filter and computes daily sum series for join coverage metrics (matched_rows, source_rows) across up to 200 supplied rows, returning 2 independent analytical reports.

Filters join coverage records (matched_rows, source_rows) by a numeric interval and computes an equal-width histogram over up to 200 rows in a single call.

Runs two analytical reports on join coverage data (matched_rows, source_rows): filters records by a numeric interval and computes a trailing mean time series, for up to 200 rows.

Generates two analytical reports on join coverage data — numeric row ordering and a date-by-category pivot — for up to 200 supplied records of matched_rows and source_rows.

Analyzes join coverage records (matched_rows, source_rows) by applying numeric row ordering and IQR-based outlier detection, producing 2 analytical reports for up to 200 rows.

Computes numeric row ordering and secondary-measure weighted mean statistics for join coverage data (matched_rows, source_rows) across up to 200 supplied rows, returning two independent analytical reports.

Computes numeric row ordering and trailing mean series for join coverage records (matched_rows, source_rows) across up to 200 rows, returning two independent analytical reports.

Performs two analytical reports on join coverage data — a record quality audit and adjacent row change detection — for up to 200 supplied rows of matched_rows and source_rows metrics.

Runs two analytical reports on join coverage data — a record quality audit and a Base-100 index series — for up to 200 rows of matched_rows/source_rows data.

Runs two local analytical reports on join coverage data: a record quality audit and a category frequency breakdown for matched_rows and source_rows across up to 200 rows.

Runs two local analytical reports on join coverage data: a record quality audit and a daily sum series for matched_rows or source_rows, over up to 200 supplied rows.

Runs two local analytical reports on join coverage data (matched_rows, source_rows): a record quality audit and a date-by-category pivot, for up to 200 rows.

Runs two local analytical reports — a record quality audit and a duplicate key report — on supplied join coverage data (matched_rows, source_rows) for up to 200 rows.

Runs a record quality audit and an equal-width histogram analysis on join coverage data (matched_rows, source_rows) for up to 200 rows, returning two independent analytical reports.

Runs three local analytical reports (record quality audit, exact row deduplication, adjacent row changes) on supplied join coverage data (matched_rows, source_rows) for up to 200 rows.

Runs three local analytical reports on supplied join coverage records (matched_rows, source_rows): a record quality audit, exact row deduplication, and a duplicate key report — all in one call for up to 200 rows.

Runs three local analytical reports on join coverage data (matched_rows, source_rows): a record quality audit, exact row deduplication, and grouped numeric summary — all in a single call for up to 200 rows.

Runs three analytical reports (record quality audit, exact row deduplication, and numeric distribution) on up to 200 join coverage records containing matched_rows and source_rows fields.

Performs three local analytical reports on join coverage data — record quality audit, exact row deduplication, and numeric interval filtering — on up to 200 rows of matched_rows/source_rows data.

Audits join coverage records (matched_rows, source_rows) for quality issues and fills missing values using a chosen imputation method, producing two independent analytical reports.

Runs two local analytical reports on join coverage data: a record quality audit and a grouped numeric summary of matched_rows or source_rows, for up to 200 rows.

Performs a record quality audit and IQR-based outlier detection on supplied join coverage data (matched_rows, source_rows) for up to 200 rows, returning 2 independent analytical reports.

Runs two local analytical reports on join coverage data: a record quality audit and a keyed dataset comparison between two supplied datasets (rows vs other), for up to 200 rows each.

Audits record quality and applies a numeric interval filter to join coverage data (matched_rows, source_rows) for up to 200 rows, returning 2 independent analytical reports.

Performs a record quality audit and numeric row ordering analysis on join coverage data (matched_rows, source_rows) for up to 200 rows, returning 2 independent analytical reports.

Runs a record quality audit and string normalisation analysis on up to 200 join coverage rows (matched_rows, source_rows), returning 2 independent analytical reports.

Runs three local analytical reports (record quality audit, string normalisation, and adjacent row changes) on supplied join coverage data (matched_rows, source_rows) for up to 200 rows.

Runs three analytical reports on join coverage data (matched_rows, source_rows): a record quality audit, string normalisation check, and base-100 indexed series, for up to 200 rows.

Runs three local analytical reports on join coverage data (matched_rows, source_rows): a record quality audit, string normalisation, and daily sum series — up to 200 rows per call.

Runs three local analytical reports on join coverage data (matched_rows, source_rows): record quality audit, string normalisation, and date-by-category pivot — up to 200 rows per call.

Runs three local analytical reports on join coverage data (matched_rows, source_rows): a record quality audit, string normalisation, and duplicate key detection — for up to 200 rows.

Runs three local analytical reports on supplied join coverage records (matched_rows, source_rows): a record quality audit, string normalisation, and an equal-width histogram.

Audits record quality, normalises strings, and deduplicates rows for up to 200 join coverage records (matched_rows, source_rows) in three independent local analytical reports.

Audits join coverage records (matched_rows, source_rows) for quality issues, normalises strings, and fills missing values using zero/mean/median imputation — three reports for up to 200 rows per call.

Runs three local analytical reports on join coverage data (matched_rows, source_rows): a record quality audit, string normalisation, and keyed dataset comparison for up to 200 rows.

Runs three analytical reports on join coverage data (matched_rows, source_rows): a record quality audit, string normalisation, and a secondary-measure weighted mean — all offline, up to 200 rows.

Runs three local analytical reports on join coverage data (matched_rows, source_rows): a record quality audit, string normalisation, and trailing mean time series — all offline, no external lookups.

Runs two local analytical reports on join coverage data: a record quality audit and a trailing mean series for matched_rows or source_rows fields.

Audits record quality and computes two-measure correlation for join coverage data (matched_rows, source_rows) across up to 200 supplied rows, producing two independent analytical reports.

Computes a secondary-measure weighted mean and a date-by-category pivot table for supplied join coverage records (matched_rows, source_rows) — two local analytical reports in one call.

Computes a secondary-measure weighted mean and performs a keyed dataset comparison for join coverage records (matched_rows, source_rows) across two supplied datasets.

Analyzes join coverage records by performing string normalization and detecting adjacent row changes across matched_rows and source_rows fields, producing 2 analytical reports for up to 200 rows.

Analyzes join coverage data (matched_rows, source_rows) by running string normalization and category frequency reports on up to 200 supplied rows.

Computes string normalisation and daily sum time series for join coverage metrics (matched_rows and source_rows) across up to 200 supplied rows, returning two analytical reports.

Accepts up to 200 join coverage records (matched_rows, source_rows) and returns two analytical reports: string normalisation of labels and a grouped numeric summary, computed locally without external lookups.

Normalises string fields and flags IQR-based outliers in join coverage records (matched_rows, source_rows) for up to 200 rows, producing 2 analytical reports.

Analyzes join coverage metrics (matched_rows, source_rows) across two datasets using string normalization and keyed comparison, producing 2 analytical reports for up to 200 rows.

Analyzes join coverage data (matched_rows, source_rows) by producing string normalization and numeric distribution reports for up to 200 supplied rows.

Runs two analytical reports (string normalisation and trailing mean series) on user-supplied join coverage data (matched_rows, source_rows) for up to 200 rows.

Computes trailing moving-average series and adjacent row-to-row delta changes for join coverage metrics (matched_rows and source_rows) across up to 200 supplied data rows.

Computes a trailing moving average series and a base-100 indexed series for join coverage metrics (matched_rows, source_rows) across up to 200 supplied rows.

Computes a trailing mean time series and a date-by-category pivot table for supplied join coverage metrics (matched_rows, source_rows) across up to 200 rows.

Computes a trailing mean time series and an equal-width histogram for join coverage metrics (matched_rows, source_rows) from up to 200 supplied records.