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Runs three analytical reports on scene geometry data (object_count, triangle_count): a record quality audit, exact row deduplication, and adjacent row change detection — all processed locally with no external lookups.
Runs three local analytical reports on scene geometry data (object_count, triangle_count): a record quality audit, exact row deduplication check, and base-100 index series — all in one call for up to 200 rows.
Runs three local analytical reports on scene geometry row data — a record quality audit, exact row deduplication, and a daily sum time series — for up to 200 rows of object_count or triangle_count data.
Runs three analytical reports on scene geometry records — a record quality audit, exact row deduplication, and grouped numeric summary of object_count and triangle_count fields.
Runs three analytical reports on scene geometry records (object_count, triangle_count): a record quality audit, exact row deduplication, and IQR-based outlier flagging — all processed locally with no external lookups.
Audits data quality and fills missing values in scene geometry records (object_count, triangle_count) for up to 200 rows, producing two independent analytical reports.
Audits quality and flags IQR-based outliers for scene geometry records containing object_count and triangle_count metrics, returning two independent analytical reports for up to 200 rows.
Runs a record quality audit and a keyed dataset comparison on two sets of scene geometry records (object_count, triangle_count) for up to 200 rows each, returning two independent analytical reports.
Runs two analytical reports on scene geometry data: a record quality audit and a numeric distribution analysis for object_count and triangle_count fields across up to 200 rows.
Audits scene geometry records for data quality issues and filters rows by a numeric interval on object_count or triangle_count, returning 2 analytical reports for up to 200 rows.
Runs three local analytical reports on scene geometry records (object_count, triangle_count): record quality audit, string normalisation, and numeric distribution — up to 200 rows, no external lookups.
Normalises string fields and produces grouped numeric summary statistics (count, min, max, mean, etc.) for scene geometry records containing object_count and triangle_count fields, delivering two analytical reports for up to 200 rows.
Computes trailing mean series and base-100 index series for scene geometry data (object_count, triangle_count) over up to 200 rows, returning two analytical reports per call.
Computes a trailing mean time series and an equal-width histogram for object_count or triangle_count fields across up to 200 scene geometry records.
Computes a trailing moving average time series and fills missing values for scene geometry records (object_count, triangle_count) across up to 200 rows, producing two analytical reports.
Computes a two-measure correlation (object_count vs triangle_count) and a date-by-category pivot table for up to 200 supplied scene geometry records in a single $0.01 call.
Computes Pearson/rank correlation between object_count and triangle_count, plus a keyed row-by-row comparison between two supplied scene geometry datasets, for up to 200 rows.
Analyzes schema conformity data (valid_records, checked_records) producing two reports: adjacent row change analysis and a date-by-category pivot, for up to 200 rows.
Analyzes schema conformity data (valid_records, checked_records) by computing adjacent row changes and an equal-width histogram, returning two analytical reports for up to 200 rows.
Analyzes schema conformity time-series data (valid_records, checked_records) to detect adjacent row changes and flag IQR-based outliers across up to 200 rows in two independent reports.
Generates a Base-100 indexed time series and a date-by-category pivot table from supplied schema conformity records (valid_records, checked_records) for up to 200 rows.
Computes a Base-100 index series and a keyed dataset comparison for schema conformity metrics (valid_records vs checked_records) across up to 200 rows, returning two independent analytical reports.
Computes a Base-100 index series and a two-measure Pearson/rank correlation report for schema conformity data (valid_records vs checked_records) over up to 200 supplied rows.
Analyzes schema conformity records (valid_records, checked_records) to produce two local analytical reports: category frequency distributions by dataset_group and adjacent-row change detection, for up to 200 rows.
Computes category-frequency distributions and base-100 index series for schema conformity records (valid_records, checked_records) across up to 200 rows, returning two independent analytical reports.
Generates two analytical reports—category frequencies and daily sum series—from supplied schema conformity records (valid_records, checked_records) for up to 200 rows.
Analyzes schema conformity records (valid_records, checked_records) to produce two reports: category frequency counts and a date-by-category pivot table, for up to 200 rows.
Computes category frequency counts and an equal-width histogram for schema conformity data (valid_records and checked_records) across up to 200 rows
Analyzes schema conformity records (valid_records, checked_records) to produce category frequency breakdowns and a keyed comparison between two supplied datasets, up to 200 rows each.
Analyzes schema conformity records (valid_records, checked_records) to produce category frequency distributions and numeric interval-filtered subsets across up to 200 rows.
Analyzes schema conformity records (valid_records, checked_records) to produce category frequency distributions and numeric row ordering reports for up to 200 rows.
Computes category-frequency distribution and a trailing moving-average series for schema conformity records (valid_records, checked_records) supplied by the caller — up to 200 rows, two independent reports.
Computes category frequency distributions and two-measure correlation analysis on user-supplied schema conformity records (valid_records vs checked_records) for up to 200 rows.
Computes a daily sum time series and adjacent row-to-row change report for schema conformity metrics (valid_records, checked_records) from up to 200 supplied rows, returning two analytical reports per call.
Computes a daily sum time series and a base-100 indexed series for schema conformity metrics (valid_records, checked_records) across up to 200 rows of supplied data.
Computes daily sum time series for schema conformity metrics (valid_records, checked_records) with explicit missing-value fill using zero, mean, or median imputation, across up to 200 rows in two independent reports.
Computes daily sum time series and IQR-based outlier flags for schema conformity records (valid_records and checked_records) over up to 200 rows, producing two independent analytical reports.
Computes a daily sum time series and a keyed dataset comparison for schema conformity metrics (valid_records, checked_records) across up to 200 rows in two independent reports.
Computes both a daily sum series and a trailing moving-average series for schema conformity metrics (valid_records and checked_records) from up to 200 supplied rows, returning two independent analytical reports.
Computes a daily sum time series and a two-measure correlation report for schema conformity data (valid_records vs checked_records) across up to 200 rows.
Pivots schema conformity records (valid_records, checked_records) by date and category, with explicit missing-value fill using zero, mean, or median strategy
Runs two local analytical reports on schema conformity data — a date-by-category pivot table and a keyed dataset comparison — for up to 200 rows of valid_records/checked_records data.
Analyzes up to 200 schema conformity records to produce two reports: a duplicate key report and category frequency breakdown for valid_records and checked_records fields.
Analyzes up to 200 schema conformity records to produce a duplicate key report and IQR-based outlier flags for valid_records or checked_records fields.
Runs two local analytical reports — a duplicate key report and a numeric distribution — on supplied schema conformity records (valid_records, checked_records) for up to 200 rows.
Generates two analytical reports from schema conformity data: an equal-width histogram and a date-by-category pivot table, for up to 200 rows of valid/checked record counts.
Generates an equal-width histogram and fills missing values for schema conformity metrics (valid_records, checked_records) across up to 200 supplied data rows, producing 2 independent analytical reports.
Generates an equal-width histogram and IQR-based outlier flags for schema conformity metrics (valid_records, checked_records) across up to 200 supplied rows.
Computes an equal-width histogram and a secondary-measure weighted mean for schema conformity data (valid_records, checked_records) over up to 200 rows, returning two independent analytical reports.
Generates an equal-width histogram and a two-measure correlation report for schema conformity data (valid_records vs checked_records) across up to 200 rows.
Analyzes up to 200 schema conformity records to produce two reports: one identifying exact duplicate rows and one detecting adjacent row changes in valid_records or checked_records fields.
Deduplicates exact rows and computes daily sum time series for schema conformity records (valid_records, checked_records) across up to 200 input rows, returning two independent analytical reports.
Deduplicates rows and produces a date-by-category pivot table for schema conformity metrics (valid_records, checked_records) across up to 200 rows in two bundled reports.
Deduplicates exact rows and generates a duplicate key report for schema conformity records (valid_records, checked_records) across up to 200 rows using local analytical engines.
Deduplicates rows and fills missing values for schema conformity records (valid_records, checked_records) across up to 200 rows, producing 2 independent analytical reports.
Deduplicates exact rows and computes grouped numeric summaries for schema conformity records (valid_records, checked_records) — up to 200 rows, two reports per call.
Deduplicates exact rows and flags IQR-based outliers in schema conformity records (valid_records, checked_records) for up to 200 rows, returning two independent analytical reports.
Deduplicates rows and compares two schema-conformity datasets (valid_records vs checked_records) to produce two independent analytical reports for up to 200 rows.
Runs two analytical reports on schema conformity data (valid_records, checked_records): exact row deduplication and numeric distribution, processing up to 200 rows locally with no external lookups.
Analyzes schema conformity records (valid_records, checked_records) to produce two reports: a grouped numeric summary by dataset group and an adjacent row change analysis, for up to 200 rows.
Computes a grouped numeric summary and a base-100 indexed time series for schema conformity records (valid_records, checked_records) supplied by the caller, using local analytical engines with no external lookups.
Generates two analytical reports (grouped numeric summary and daily sum time series) for schema conformity records tracking valid_records and checked_records across dataset groups.
Runs two local analytical reports on schema conformity data — a grouped numeric summary and a date-by-category pivot — for up to 200 rows of valid/checked record counts.
Generates two local analytical reports (grouped numeric summary and equal-width histogram) for schema conformity data tracking valid and checked records across dataset groups.
Computes grouped descriptive statistics and IQR-based outlier flags for schema conformity records (valid_records and checked_records) across up to 200 rows in two independent reports.
Runs two independent analytical reports on schema conformity records: a grouped numeric summary by dataset_group and a keyed comparison between two datasets, covering valid_records and checked_records fields for up to 200 rows.
Computes a grouped numeric summary and a numeric interval filter report on schema conformity records (valid_records, checked_records) for up to 200 rows.
Computes a grouped numeric summary and a trailing moving-average series for schema conformity records (valid_records, checked_records) — two analytical reports from supplied data, up to 200 rows.
Computes grouped numeric summaries and a two-measure correlation analysis for schema conformity records (valid_records vs checked_records) across up to 200 rows.
Detects IQR-based outliers and fills explicit missing values in schema conformity records (valid_records, checked_records) for up to 200 rows, returning two analytical reports.
Runs two local analytical reports on schema conformity data: IQR-based outlier detection and keyed dataset comparison for valid_records or checked_records fields, up to 200 rows.
Runs two statistical analyses on schema conformity records (valid_records, checked_records): IQR-based outlier flagging and a secondary-measure weighted mean, for up to 200 rows.
Runs IQR-based outlier detection and two-measure correlation analysis on schema conformity records (valid_records, checked_records) for up to 200 rows, returning two independent analytical reports.
Computes numeric distribution statistics and fills missing values for valid_records and checked_records schema conformity data across up to 200 rows, producing two analytical reports.
Analyzes schema conformity records (valid_records, checked_records) to produce a numeric distribution report and a grouped numeric summary report for up to 200 rows.
Analyzes schema conformity records by computing a numeric distribution and applying a numeric interval filter on valid_records or checked_records fields across up to 200 rows.
Filters schema conformity rows by a numeric interval on valid_records or checked_records, then reports adjacent row-to-row changes across up to 200 records in two independent analytical reports.
Filters schema conformity records by a numeric interval and generates an equal-width histogram for up to 200 rows, producing two analytical reports in one call.
Filters schema conformity records (valid_records, checked_records) by a numeric interval and fills missing values using zero, mean, or median, returning two analytical reports for up to 200 rows.
Filters schema conformity records by a numeric interval and flags IQR outliers for valid_records or checked_records fields across up to 200 rows, producing two independent analytical reports.
Applies a numeric interval filter and computes a trailing mean series on schema conformity records (valid_records, checked_records) for up to 200 rows, returning two analytical reports.
Computes numeric row ordering and Base-100 index series for schema conformity records (valid_records, checked_records) across up to 200 rows, producing two analytical reports.
Runs two local analytical reports — numeric row ordering and an equal-width histogram — on schema conformity data (valid_records, checked_records) for up to 200 rows.
Sorts rows numerically and fills missing values (zero, mean, or median) for valid_records or checked_records fields in schema conformity datasets, returning two analytical reports for up to 200 rows.
Sorts schema conformity records by numeric value and flags IQR-based outliers across valid_records and checked_records fields for up to 200 rows.
Analyzes schema conformity records by computing numeric row ordering and keyed dataset comparison reports for valid_records and checked_records fields across up to 200 rows.
Audits schema conformity records for record quality and computes category frequencies across dataset groups, returning two analytical reports for up to 200 rows.
Runs two analytical reports on schema conformity data — a record quality audit and a daily sum time series — for up to 200 rows of valid_records and checked_records.
Runs two analytical reports on schema conformity records: a record quality audit and a date-by-category pivot, for up to 200 rows of valid_records and checked_records data.
Audits up to 200 schema conformity rows for record quality issues and generates a duplicate key report, using local analytical engines with no external lookups.
Runs two analytical reports on schema conformity data — a record quality audit and an equal-width histogram — for up to 200 rows of valid_records/checked_records data.
Audits record quality and deduplicates exact rows for schema conformity data (valid_records, checked_records) — delivering two analytical reports for up to 200 rows.
Runs three local analytical reports on schema conformity data (valid_records, checked_records): a record quality audit, exact row deduplication, and adjacent row change detection — for up to 200 rows.
Runs three local analytical reports on schema conformity data (valid_records, checked_records): a record quality audit, exact row deduplication, and a base-100 indexed series — for up to 200 rows per call.
Runs three local analytical reports on schema conformity records: a record quality audit, exact row deduplication, and a duplicate key report — for up to 200 rows of valid_records/checked_records data.
Runs three analytical reports on schema conformity records: a record quality audit, exact row deduplication, and IQR-based outlier flagging for valid_records or checked_records fields.
Runs three analytical reports on schema conformity records (valid_records, checked_records): record quality audit, exact row deduplication, and numeric distribution analysis for up to 200 rows.
Runs three local analytical reports on schema conformity records: a record quality audit, exact row deduplication, and a numeric interval filter — all applied to up to 200 rows of valid_records/checked_records data.
Audits data quality of schema conformity records (valid_records, checked_records) and fills missing values using zero, mean, or median imputation — two independent reports for up to 200 rows.
Runs two local analytical reports on schema conformity data: a record quality audit and a grouped numeric summary for valid_records or checked_records fields, covering up to 200 rows.