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Computes an equal-width histogram and a two-measure correlation analysis on supplied data reconciliation records (source_total vs target_total) for up to 200 rows.

Performs exact row deduplication and adjacent row change analysis on up to 200 data reconciliation records comparing source_total and target_total values, returning two independent analytical reports.

Deduplicates supplied reconciliation rows and generates a Base-100 indexed series for source_total or target_total fields, producing two analytical reports for up to 200 rows.

Deduplicates exact duplicate rows and computes category-level frequency distributions for data reconciliation records containing source and target totals.

Performs exact row deduplication and daily sum series analysis on up to 200 supplied data reconciliation records comparing source_total and target_total values.

Deduplicates exact duplicate rows and produces a date-by-category pivot report from supplied data reconciliation records (source_total vs target_total) — up to 200 rows, 2 reports per call.

Deduplicates rows and computes an equal-width histogram over source_total or target_total values from supplied reconciliation data, returning two analytical reports in a single call.

Deduplicates rows exactly and fills missing values (zero, mean, or median) in source/target reconciliation data for up to 200 rows, returning 2 independent analytical reports.

Deduplicates rows exactly and filters records by a numeric interval for source/target reconciliation datasets of up to 200 rows, returning two analytical reports.

Deduplicates rows exactly and orders them numerically for source/target reconciliation data, returning two analytical reports for up to 200 rows.

Deduplicates rows exactly and computes a secondary-measure weighted mean across source/target reconciliation records, returning two analytical reports for up to 200 rows.

Deduplicates rows exactly and computes two-measure correlation between source_total and target_total for up to 200 reconciliation records, returning two analytical reports per call.

Generates two analytical reports (grouped numeric summary and daily sum series) for up to 200 data reconciliation rows comparing source_total and target_total values.

Computes grouped numeric summaries and fills missing values (zero, mean, or median) for source/target reconciliation data across up to 200 rows, returning two analytical reports.

Runs two local analytical reports on reconciliation data: a grouped numeric summary (by dataset_group) and a numeric interval filter on source_total or target_total, for up to 200 rows.

Computes a grouped numeric summary and a numeric row ordering for up to 200 data reconciliation records comparing source and target totals.

Computes a grouped numeric summary and a trailing mean time series for data reconciliation records containing source and target totals, across up to 200 rows.

Detects IQR-based outliers and fills missing values in source/target reconciliation data rows using local analytical engines, returning two reports for up to 200 rows.

Runs two local analytical reports on reconciliation data: a numeric distribution analysis and an adjacent row change analysis for source_total/target_total pairs across up to 200 rows.

Generates two analytical reports (numeric distribution summary and Base-100 indexed series) for supplied source/target reconciliation data, supporting up to 200 rows per call.

Computes numeric distribution statistics and category frequency counts for up to 200 data reconciliation rows comparing source_total vs target_total values.

Generates two analytical reports — a numeric distribution summary and an equal-width histogram — for data reconciliation records comparing source and target totals (up to 200 rows).

Analyzes up to 200 data reconciliation rows (source_total vs target_total) by producing a numeric distribution report and filling missing values in a chosen field using zero, mean, or median imputation.

Generates two analytical reports (numeric distribution and grouped numeric summary) for data reconciliation records containing source and target totals, covering up to 200 rows.

Runs two local analytical reports on supplied reconciliation data: a numeric distribution analysis and a keyed dataset comparison between source and target totals across up to 200 rows.

Computes numeric distribution statistics and a secondary-measure weighted mean for data reconciliation records comparing source and target totals, returning two reports for up to 200 rows.

Applies a numeric interval filter and computes a daily sum series on supplied data reconciliation rows (source_total vs. target_total), returning two local analytical reports for up to 200 rows.

Filters reconciliation rows by a numeric range on source_total or target_total, and produces a date-by-category pivot report — two analytical reports for up to 200 rows per call.

Filters data reconciliation rows by a numeric interval and flags IQR-based outliers across source_total and target_total fields, producing two analytical reports for up to 200 rows.

Runs two analytical reports on supplied reconciliation data: a numeric interval filter on a chosen field and a keyed comparison between two datasets, for up to 200 rows.

Filters reconciliation rows by a numeric interval on a chosen field and computes a secondary-measure weighted mean, returning two analytical reports for up to 200 source/target rows.

Applies a numeric interval filter and computes a trailing mean series on data reconciliation records (source_total vs target_total), returning two analytical reports for up to 200 rows.

Filters reconciliation rows by a numeric interval on a chosen field and computes correlation between source_total and target_total, delivering two independent analytical reports for up to 200 rows.

Analyzes supplied source/target reconciliation data to produce two reports: numeric row ordering and adjacent row change analysis, for up to 200 rows.

Analyzes up to 200 reconciliation rows and produces two reports: numeric row ordering and a Base-100 indexed series for source_total or target_total fields.

Generates two analytical reports (numeric row ordering and daily sum series) for up to 200 data reconciliation records comparing source and target totals.

Generates two analytical reports (numeric row ordering and date-by-category pivot) for data reconciliation records comparing source and target totals, supporting up to 200 rows.

Runs two local analytical reports on up to 200 reconciliation rows: numeric row ordering and an equal-width histogram for a chosen numeric field (source_total or target_total).

Sorts reconciliation rows numerically and fills missing source_total or target_total values using zero, mean, or median imputation for up to 200 records, returning two independent analytical reports.

Sorts reconciliation rows by numeric value and flags statistical outliers using IQR analysis across source_total and target_total fields for up to 200 rows.

Performs two analytical reports on reconciliation data: numeric row ordering and keyed dataset comparison between source and target totals, for up to 200 rows.

Computes numeric row ordering and a trailing mean series for supplied data reconciliation records (source_total vs target_total) over up to 200 rows.

Audits data reconciliation records for quality issues and detects adjacent row changes across source and target totals, producing two independent analytical reports for up to 200 rows.

Runs two analytical reports (record quality audit and Base-100 index series) on up to 200 supplied data reconciliation rows comparing source and target totals.

Runs two local analytical reports on supplied data reconciliation rows: a record quality audit and category frequency counts, for up to 200 rows per call.

Runs two analytical reports on supplied reconciliation data: a record quality audit and a date-by-category pivot table, for up to 200 rows.

Audits record quality and detects duplicate keys in supplied data reconciliation rows (up to 200), returning two independent analytical reports comparing source and target totals.

Runs two local analytical reports on up to 200 reconciliation rows: a record quality audit and exact row deduplication, comparing source_total vs target_total figures.

Runs three local analytical reports on reconciliation data: a record quality audit, exact row deduplication, and category frequency analysis — all in a single call for up to 200 rows.

Runs three analytical reports on up to 200 reconciliation rows: a record quality audit, exact row deduplication, and a duplicate key report comparing source and target totals.

Runs three analytical reports on supplied reconciliation data: a record quality audit, exact row deduplication, and numeric distribution analysis for source_total and target_total fields.

Runs three independent analytical reports on data reconciliation records: a record quality audit, exact row deduplication, and a numeric interval filter — all processed locally against up to 200 supplied rows.

Runs three local analytical reports on reconciliation data (source_total vs target_total): a record quality audit, exact row deduplication, and numeric row ordering — all for up to 200 rows at $0.01 USDC per call.

Audits data quality and fills missing values for source/target reconciliation records (up to 200 rows), returning two independent analytical reports.

Runs two analytical reports on up to 200 data reconciliation rows: a record quality audit and a grouped numeric summary for source_total and target_total fields.

Runs two local analytical reports on up to 200 reconciliation rows: a record quality audit and a numeric interval filter on source_total or target_total values.

Performs a dual-report analysis on reconciliation data rows: audits record quality and orders rows numerically for up to 200 source/target total pairs.

Runs two local analytical reports — a record quality audit and string normalisation — on up to 200 data reconciliation rows comparing source and target totals.

Runs three local analytical reports on supplied data reconciliation rows: a record quality audit, string normalisation, and category frequency analysis — all in a single paid call.

Runs three analytical reports on supplied data reconciliation rows: a record quality audit, string normalisation, and a daily sum series for source_total or target_total values.

Runs three analytical reports (record quality audit, string normalisation, and duplicate key detection) on up to 200 supplied data reconciliation rows comparing source and target totals.

Runs three local analytical reports on reconciliation row data: a record quality audit, string normalisation, and an equal-width histogram — all in a single call for up to 200 rows.

Audits record quality, normalises strings, and deduplicates exact rows for up to 200 data reconciliation records (source_total vs target_total), returning 3 independent analytical reports.

Audits record quality, normalises strings, and fills missing values for up to 200 source/target reconciliation rows, returning 3 independent analytical reports.

Runs three local analytical reports on up to 200 reconciliation rows: a record quality audit, string normalisation, and a numeric interval filter on source/target totals.

Runs three local analytical reports on reconciliation data (up to 200 rows): record quality audit, string normalisation, and numeric row ordering — no external lookups or predictions.

Runs three bundled analytical reports on up to 200 reconciliation rows: a record quality audit, string normalisation, and a secondary-measure weighted mean across source_total and target_total fields.

Runs three local analytical reports on up to 200 reconciliation rows: a record quality audit, string normalisation, and a trailing mean series for source_total or target_total values.

Runs three local analytical reports on up to 200 reconciliation rows: a record quality audit, string normalisation, and Pearson/rank correlation between source_total and target_total.

Runs two analytical reports on supplied reconciliation rows: a record quality audit and a trailing mean series for a chosen field, using up to 200 rows of source/target totals.

Computes a secondary-measure weighted mean and a date-by-category pivot table for supplied data reconciliation records (source_total vs target_total) across up to 200 rows.

Analyzes up to 200 data reconciliation rows to produce string normalization and adjacent row change reports on source/target totals.

Analyzes up to 200 data reconciliation rows (source_total vs target_total) by producing two reports: string normalization of text fields and category frequency distributions across dataset groups.

Runs two local analytical reports on reconciliation data: string normalisation of row fields and an equal-width histogram over a chosen numeric column (source_total or target_total), for up to 200 rows.

Normalises strings and deduplicates exact rows across supplied data reconciliation records comparing source and target totals, returning 2 analytical reports for up to 200 rows.

Normalises string fields and produces a grouped numeric summary for data reconciliation records comparing source_total and target_total values, up to 200 rows.

Normalises string fields and flags IQR-based outliers in source/target reconciliation row data, producing two analytical reports for up to 200 rows.

Runs two local analytical reports — string normalisation and numeric distribution — on supplied source/target reconciliation row data (up to 200 rows) for $0.01 USDC.

Runs two local analytical reports on supplied reconciliation data: string normalisation of row identifiers and a trailing mean series over source/target totals, for up to 200 rows.

Computes a trailing mean time series and a date-by-category pivot table for supplied source/target reconciliation data, returning two analytical reports in one call.

Computes a trailing mean time series and fills missing values in source/target reconciliation data, returning two analytical reports for up to 200 rows.

Computes a trailing mean time series and a secondary-measure weighted mean over supplied source/target reconciliation data rows (up to 200 rows, 2 reports per call).

Computes a trailing mean time series and a two-measure correlation analysis on supplied source_total/target_total reconciliation data (up to 200 rows, no external lookups).

Computes correlation between source_total and target_total columns and fills missing values using a chosen method (zero, mean, or median) across up to 200 reconciliation rows.

Returns buy and sell side volume data for a specified Polymarket prediction market

Compares before and after parsed dataset exports to detect cell type changes, field presence differences, and field order changes, without returning cell values.

Runs two local analytical reports (Base-100 index series and keyed dataset comparison) on supplied dataset partition size records (row_count or file_mb), for up to 200 rows.

Computes a Base-100 index series and a secondary-measure weighted mean for dataset partition records (row_count, file_mb) supplied by the caller, using local analytical engines with no external lookups.

Generates a base-100 index series and a two-measure correlation report for dataset partition size records (row_count, file_mb) — up to 200 rows, two analytical reports per call.

Analyzes dataset partition size records (row_count, file_mb) producing two local analytical reports: category frequency distribution and adjacent row change detection.

Analyzes dataset partition size records (row_count, file_mb) to produce category frequency counts by group and a daily sum time series, delivered as two independent analytical reports.

Analyzes dataset partition size records (row_count or file_mb) to produce two reports: category frequency counts and a date-by-category pivot table.

Analyzes dataset partition size records to produce category frequency distributions and IQR-based outlier flags for row_count or file_mb fields.

Computes category frequencies and a secondary-measure weighted mean for dataset partition size records, returning two analytical reports for up to 200 rows.

Analyzes dataset partition size records (row_count, file_mb) to produce two reports: category frequency distribution by dataset_group and a correlation analysis between the two numeric measures.

Computes daily sum time series and fills missing values for dataset partition size metrics (row_count or file_mb) across groups, returning two analytical reports for up to 200 rows.

Runs two local analytical reports on dataset partition size records: a duplicate key detection report and an adjacent row change analysis, for up to 200 rows.

Analyzes up to 200 dataset partition size records (row_count, file_mb) and returns both a duplicate key report and a base-100 index series for a chosen metric field.

Analyzes up to 200 dataset partition size records to produce two analytical reports: a duplicate key report and a date-by-category pivot table for row_count or file_mb.

Runs two analytical reports on dataset partition size records: a duplicate key report and a keyed dataset comparison between two supplied datasets (up to 200 rows each).