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Deduplicates transport ridership rows and computes a Base-100 indexed time series for passenger or service counts across up to 200 supplied records.

Deduplicates transport ridership records and computes daily sum time series for passenger_count or service_count, returning two analytical reports for up to 200 rows.

Computes a grouped numeric summary and a Base-100 index series for supplied transport ridership data (passenger_count or service_count) across up to 200 rows.

Computes grouped numeric summary statistics and fills missing values for transport ridership records (passenger_count, service_count) across up to 200 rows, returning 2 analytical reports.

Runs IQR-based outlier detection and keyed dataset comparison on up to 200 rows of transport ridership data (passenger_count or service_count), returning two independent analytical reports.

Computes numeric distribution statistics and a base-100 index series for up to 200 transport ridership records covering passenger_count and service_count fields.

Runs two local analytical reports on transport ridership data: a numeric distribution and a date-by-category pivot for passenger_count or service_count fields.

Computes numeric distribution statistics and an equal-width histogram for passenger_count or service_count fields across up to 200 transport ridership records.

Computes numeric distribution statistics and fills missing values (zero, mean, or median) for transport ridership records (passenger_count, service_count) across up to 200 rows.

Assigns numeric row ordering and computes a Base-100 index series for passenger_count or service_count across up to 200 transport ridership records, returning two analytical reports.

Ranks transport ridership rows numerically and compares two datasets by key for passenger_count or service_count fields, returning two analytical reports.

Computes numeric row ordering and Pearson/Spearman correlation between passenger_count and service_count for up to 200 supplied transport ridership records, returning two independent analytical reports.

Audits transport ridership records for data quality issues and identifies exact duplicate rows across up to 200 rows of passenger and service count data, returning two independent analytical reports.

Runs three local analytical reports on transport ridership data: record quality audit, exact row deduplication, and adjacent row change detection — all in a single call for up to 200 rows.

Runs three analytical reports on transport ridership row data: a record quality audit, exact-row deduplication, and a grouped numeric summary of passenger_count or service_count.

Runs three analytical reports on transport ridership records: record quality audit, exact row deduplication, and trailing mean series computation.

Audits data quality and flags IQR-based outliers in transport ridership records (passenger_count or service_count) for up to 200 rows, returning two independent analytical reports.

Performs a record quality audit and keyed dataset comparison on up to 200 rows of transport ridership data (passenger_count, service_count), returning two independent analytical reports.

Runs two analytical reports on up to 200 transport ridership rows: a record quality audit and a numeric distribution analysis for passenger_count or service_count.

Audits transport ridership records for data quality issues and sorts rows numerically by a chosen metric (passenger_count or service_count), returning two independent analytical reports for up to 200 rows.

Audits data quality and computes a service-count-weighted mean on up to 200 transport ridership records (passenger_count, service_count), returning two independent analytical reports.

Audits transport ridership records for data quality issues and normalises string fields, producing two independent analytical reports for up to 200 rows.

Runs three local analytical reports on supplied transport ridership data: a record quality audit, string normalisation, and a daily sum time series for passenger or service counts.

Runs three data-quality reports (record quality audit, string normalisation, and exact row deduplication) on up to 200 transport ridership rows containing passenger and service counts.

Runs three local analytical reports on supplied transport ridership data: a record quality audit, string normalisation, and numeric distribution analysis for passenger_count or service_count fields.

Audits record quality, normalises region strings, and filters passenger_count or service_count by numeric interval for up to 200 transport ridership rows, returning three independent analytical reports.

Audits record quality, normalises strings, and orders rows numerically for transport ridership datasets containing passenger and service counts (up to 200 rows, 3 reports per call).

Performs three bundled analytical reports on transport ridership records: record quality audit, string normalisation, and trailing mean time-series computation for passenger_count or service_count.

Computes trailing moving-average and base-100 indexed time series for supplied transport ridership data (passenger_count or service_count) across up to 200 rows, returning two analytical reports.

Computes a trailing moving average series and a two-measure correlation analysis on supplied transport ridership data (passenger_count and service_count) for up to 200 rows.

Searches live public web pages for travel accessibility data and information targeted at analysts, returning source links and text snippets.

Searches live public web pages for travel accessibility data and returns source links with snippets, targeted at developer use cases.

Computes adjacent row-over-row changes and a Base-100 indexed series for up to 200 travel administration records across trip_count or recorded_cost fields.

Runs two local analytical reports on travel administration records: category frequency distribution and a date-by-category pivot, across up to 200 rows for trip_count or recorded_cost.

Computes category frequencies and IQR-based outlier flags for travel administration records (trip_count, recorded_cost) across up to 200 rows, returning two independent analytical reports.

Computes a daily sum time series and a date-by-category pivot table for travel administration records (trip_count or recorded_cost) from up to 200 supplied rows.

Computes a daily sum time series and a trailing moving average series for travel administration records (trip_count or recorded_cost) supplied by the caller.

Runs a duplicate key report and a two-measure Pearson/rank correlation analysis on supplied travel administration records (trip_count, recorded_cost) for up to 200 rows.

Generates two local analytical reports (equal-width histogram and date-by-category pivot) from supplied travel administration records with trip_count and recorded_cost fields.

Generates an equal-width histogram and fills missing values for travel administration records (trip_count or recorded_cost) across up to 200 rows.

Generates an equal-width histogram and a keyed dataset comparison report for travel administration records (trip_count or recorded_cost) across up to 200 rows.

Deduplicates exact rows and generates a numeric distribution report for travel administration records (trip_count, recorded_cost) — up to 200 rows, 2 reports per call.

Runs two local analytical reports on supplied travel administration data: IQR-based outlier detection and a date-by-category pivot, for up to 200 rows of trip_count or recorded_cost data.

Detects IQR-based outliers and fills missing values in travel administration records (trip_count, recorded_cost) for up to 200 rows, producing two independent analytical reports.

Runs two local analytical reports on travel administration data: IQR-based outlier detection and secondary-measure weighted mean, for up to 200 rows of trip_count and recorded_cost records.

Computes numeric distribution statistics and category frequency counts for travel administration records (trip_count, recorded_cost) across up to 200 rows.

Computes numeric distribution statistics and fills missing values (zero/mean/median) for travel administration records (trip_count, recorded_cost) across up to 200 rows.

Computes numeric distribution and grouped numeric summary for up to 200 travel administration records (trip_count or recorded_cost), returning two analytical reports from supplied data.

Computes numeric distribution statistics and IQR-based outlier flags for travel administration records (trip_count or recorded_cost) across up to 200 rows, returning two independent analytical reports.

Computes numeric distribution statistics and row ordering for travel administration records (trip_count or recorded_cost) across up to 200 supplied rows, producing 2 local analytical reports per call.

Filters travel administration records by a numeric interval and flags IQR-based outliers for trip_count or recorded_cost fields across up to 200 rows in two reports.

Filters travel administration records by a numeric interval and computes a trailing mean time series, returning two analytical reports from user-supplied data.

Sorts travel administration records by a numeric field and flags statistical outliers using the interquartile range (IQR) method, delivering two analytical reports for up to 200 rows.

Runs three local analytical reports on travel administration records: a record quality audit, exact row deduplication, and numeric distribution analysis for trip_count or recorded_cost fields.

Runs three analytical reports on travel administration records: record quality audit, exact row deduplication, and trailing mean time series — all in a single call for up to 200 rows.

Runs three local analytical reports on travel administration records: a record quality audit, string normalisation, and exact row deduplication — for up to 200 rows of trip_count and recorded_cost data.

Runs three local analytical reports on travel administration records (trip_count, recorded_cost): record quality audit, string normalisation, and keyed dataset comparison — up to 200 rows per call.

Computes a secondary-measure weighted mean and a date-by-category pivot table for up to 200 travel administration records (trip_count or recorded_cost).

Computes Pearson correlation between trip_count and recorded_cost, and fills missing values in a chosen field using zero, mean, or median imputation for up to 200 travel administration rows.

Computes Pearson correlation between trip_count and recorded_cost, and performs a keyed row-by-row comparison between two travel administration datasets (up to 200 rows each).

Returns currency exchange rates and money-related travel information for a destination country or city relative to a home currency

Computes adjacent-row changes and fills missing values in treasury balance data (opening_balance, closing_balance) for up to 200 rows, returning two local analytical reports.

Generates a Base-100 indexed time series and a date-by-category pivot table from user-supplied treasury opening/closing balance records, using local analytical engines.

Computes a Base-100 indexed time series and an equal-width histogram for treasury opening and closing balance records, returning two analytical reports for up to 200 rows.

Transforms up to 200 rows of treasury balance records into a base-100 indexed time series and fills any missing opening/closing balance values using zero, mean, or median imputation.

Computes a Base-100 indexed series and a two-measure correlation report for supplied treasury opening and closing balance data, returning two analytical reports for up to 200 rows.

Analyzes user-supplied treasury balance records to produce category frequency distributions and adjacent-row change metrics for opening and closing balances.

Computes category frequency distributions and base-100 indexed series for opening_balance or closing_balance fields across treasury supplied balance records.

Computes category-level frequency distributions and IQR-based outlier flags for opening or closing treasury balance records across up to 200 rows.

Computes category frequencies and a trailing mean series for treasury-supplied opening or closing balance records across up to 200 rows.

Computes daily sum time series and a base-100 indexed series for treasury supplied balance records (opening and closing balance fields) across up to 200 rows.

Analyzes treasury supplied balance records (opening and closing balances) to produce a daily sum time series and a date-by-instrument-group pivot table, using local analytical engines.

Computes daily sum series and secondary-measure weighted mean for treasury supplied balance records (opening and closing balances) across up to 200 rows.

Computes daily sum aggregations and trailing moving-average series for treasury supplied balance records (opening and closing balances) over up to 200 rows.

Runs two local analytical reports on treasury balance data: a duplicate key detector and an adjacent-row change analysis for opening_balance or closing_balance fields.

Analyzes user-supplied treasury balance rows to produce a duplicate key report and a daily sum time series for opening or closing balances, using local analytical engines with no external data access.

Analyzes user-supplied treasury balance records to produce a duplicate key report and a date-by-category pivot table for opening or closing balances.

Detects duplicate row keys and fills missing opening/closing balance values in treasury balance records using zero, mean, or median imputation.

Runs two local analytical reports on user-supplied treasury balance records: a duplicate key detection report and a trailing moving average series for opening or closing balances.

Runs two analytical reports on user-supplied treasury balance data: an equal-width histogram of balance values and a date-by-category pivot table, for up to 200 rows.

Deduplicates exact duplicate rows and computes adjacent row changes for treasury supplied balance records (opening_balance or closing_balance) across up to 200 rows, returning two analytical reports.

Deduplicates treasury balance rows exactly and pivots opening or closing balance data by date and instrument category, returning two analytical reports for up to 200 rows.

Deduplicates exact rows and flags IQR-based outliers in treasury supplied balance records (opening_balance or closing_balance) for up to 200 rows.

Analyzes treasury supplied balance records (opening and closing balances) by producing a grouped numeric summary and adjacent row change report for up to 200 rows.

Computes a grouped numeric summary and category frequency report for treasury supplied balance records (opening_balance and closing_balance) across up to 200 rows.

Computes a grouped numeric summary and a daily sum time series for treasury supplied balance records (opening and closing balances) across instrument groups.

Analyzes supplied treasury balance records (opening and closing) by computing grouped numeric summaries and filtering rows by a numeric interval, returning up to 2 analytical reports for up to 200 rows.

Computes grouped numeric summaries and secondary-measure weighted means for treasury supplied balance records (opening and closing balances) across up to 200 rows.

Detects IQR-based outliers and fills missing values in treasury balance records (opening and closing balances) for up to 200 rows, returning two analytical reports.

Runs IQR-based outlier detection and two-measure correlation analysis on up to 200 rows of treasury balance data (opening and closing balances), returning two analytical reports.

Compares two treasury balance datasets by row key and fills missing opening/closing balance values explicitly, producing up to 2 analytical reports for up to 200 rows.

Computes numeric distribution statistics and adjacent row change analysis for treasury supplied balance records (opening_balance and closing_balance) across up to 200 rows.

Computes a numeric distribution report and a daily sum time series for treasury supplied balance records (opening and closing balances) across up to 200 rows.

Generates a numeric distribution report and a date-by-category pivot table for treasury supplied balance records (opening_balance, closing_balance) across up to 200 rows.

Runs two local analytical reports on treasury balance data: a numeric distribution analysis and a keyed comparison between two datasets, for up to 200 rows of opening/closing balance records.

Runs two local analytical reports (numeric distribution and interval-filtered subset) on user-supplied treasury balance records (opening and closing balances) for up to 200 rows.

Computes numeric distribution (histogram) and numeric row ordering for opening_balance and closing_balance fields across up to 200 treasury balance records.

Computes numeric distribution statistics and a secondary-measure weighted mean for treasury-supplied opening and closing balance records, returning two analytical reports for up to 200 rows.

Computes a numeric distribution and a trailing mean time series for treasury-supplied balance fields (opening or closing balance) across up to 200 rows of user-provided data.

Computes a numeric distribution report and a two-measure correlation analysis on treasury supplied balance records (opening_balance and closing_balance) for up to 200 rows.