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Produces two local analytical reports (grouped numeric summary and date-by-category pivot) on translation delivery records containing translated_words and source_words fields.

Computes a grouped numeric summary and a two-measure correlation report for translation delivery records (translated_words, source_words) across up to 200 rows.

Computes numeric distribution statistics and fills missing values (zero/mean/median) for translation delivery records containing translated_words and source_words fields.

Computes numeric distribution statistics and ordered row rankings for translation delivery records (translated_words, source_words) across up to 200 rows, returning two local analytical reports.

Filters translation delivery records by a numeric interval and generates a Base-100 indexed time series for either translated_words or source_words fields, returning up to 2 analytical reports for up to 200 rows.

Runs two local analytical reports on translation delivery records: a numeric interval filter on word counts and a keyed comparison between two supplied datasets.

Filters translation delivery records by a numeric interval on a chosen field and computes a secondary-measure weighted mean, returning two analytical reports for up to 200 rows.

Analyzes up to 200 translation delivery records by computing numeric row ordering and adjacent row changes for translated_words or source_words fields, returning two analytical reports.

Sorts and filters translation delivery records (translated_words, source_words) by numeric value and applies an interval filter, returning up to 2 analytical reports for up to 200 rows.

Computes numeric row ordering and trailing mean series for translation delivery records (translated_words, source_words) across up to 200 rows, returning 2 analytical reports.

Runs two local analytical reports on translation delivery records: a record quality audit and a daily sum time series for translated or source word counts (up to 200 rows).

Runs two local analytical reports on translation delivery records: a record quality audit and a date-by-category pivot, for up to 200 rows.

Audits translation delivery records for quality issues and detects duplicate row keys across up to 200 rows of translated_words/source_words data using local analytical engines.

Runs three analytical reports on translation delivery row data: a record quality audit, exact row deduplication, and a base-100 indexed time series for translated_words or source_words.

Runs three local analytical reports on translation delivery records: a record quality audit, exact row deduplication, and an equal-width histogram over translated_words or source_words.

Audits translation delivery records for data quality issues and produces a grouped numeric summary across document groups, analyzing translated_words and source_words fields for up to 200 rows.

Runs two local analytical reports — a quality audit and a numeric distribution — on supplied translation delivery records (translated_words, source_words) for up to 200 rows.

Runs two local analytical reports on translation delivery records: a record quality audit and a secondary-measure weighted mean, for up to 200 rows of translated_words/source_words data.

Runs three analytical reports on translation delivery records — a record quality audit, string normalisation, and a base-100 indexed series — for up to 200 rows of translated/source word count data.

Audits translation delivery records for quality issues, normalises string fields, and removes exact duplicate rows across up to 200 rows in three bundled reports.

Runs three local analytical reports on translation delivery records: record quality audit, string normalisation, and keyed dataset comparison (up to 200 rows, no external lookups).

Audits quality, normalises strings, and filters by numeric interval across up to 200 translation delivery records (translated_words, source_words), returning 3 independent analytical reports.

Runs two local analytical reports on translation delivery data: string normalisation and a date-by-category pivot, for up to 200 rows of translated_words or source_words.

Runs string normalisation and an equal-width histogram report on up to 200 translation delivery records (translated_words or source_words).

Normalises string fields and flags IQR-based outliers in translation delivery records (translated_words, source_words) for up to 200 rows, returning two analytical reports.

Normalises strings and performs keyed dataset comparison on two sets of translation delivery records (translated_words, source_words) for up to 200 rows, producing 2 independent analytical reports.

Normalises string fields and filters translation delivery records by a numeric word-count interval, producing 2 analytical reports for up to 200 rows.

Computes a trailing moving-average series and a source-words-weighted mean for user-supplied translation delivery records (translated_words, source_words) across up to 200 rows.

Computes correlation between translated_words and source_words, and fills missing values using zero/mean/median, for up to 200 translation delivery records.

Computes Pearson/Spearman correlation between translated_words and source_words, plus a keyed row-by-row dataset comparison, for up to 200 translation delivery records across two independent reports.

Computes two statistical reports on translation delivery data: a Pearson/rank correlation between translated_words and source_words, plus a weighted mean of a chosen secondary measure, for up to 200 supplied rows.

Computes adjacent row-over-row changes and a secondary-measure weighted mean across up to 200 transport ridership records (passenger_count, service_count), returning two analytical reports.

Analyzes transport ridership records to produce category frequency counts and numeric row ordering for passenger_count or service_count fields, across up to 200 rows.

Analyzes up to 200 transport ridership records to produce a duplicate key report and a numeric row ordering report for passenger_count or service_count fields.

Deduplicates exact rows and generates a duplicate key report for transport ridership records (passenger_count, service_count) across up to 200 rows.

Compares two keyed transport ridership datasets (passenger_count or service_count) side by side and fills in explicit missing values, producing 2 analytical reports for up to 200 rows.

Filters transport ridership rows by a numeric range on passenger_count or service_count, and generates a date-by-region pivot table — two analytical reports from user-supplied data, up to 200 rows.

Applies numeric interval filtering and row-keyed dataset comparison to up to 200 transport ridership records (passenger_count, service_count), returning 2 independent analytical reports.

Filters transport ridership rows by a numeric interval on a chosen field and computes a service-count-weighted mean of passenger counts (or vice versa) across up to 200 supplied records.

Sorts transport ridership rows numerically and fills missing passenger_count or service_count values using zero, mean, or median imputation across up to 200 rows.

Runs three local analytical reports on transport ridership records: a record quality audit, exact row deduplication, and a numeric interval filter on passenger_count or service_count.

Runs three analytical reports on transport ridership records: record quality audit, string normalisation, and keyed dataset comparison (up to 200 rows, no external lookups).

Normalises string fields and computes category frequencies across two measures (passenger_count, service_count) for up to 200 transport ridership records, returning two analytical reports.

Normalises string fields and filters rows by numeric interval for transport ridership records (passenger_count, service_count) across up to 200 rows, returning 2 analytical reports.

Normalises region/date strings and computes a service_count-weighted mean of passenger_count (or vice versa) for up to 200 transport ridership rows, returning two analytical reports.

Normalises region/date strings and computes a two-measure Pearson/rank correlation between passenger_count and service_count for up to 200 transport ridership rows, returning two analytical reports.

Searches live public web pages for travel accessibility information, returning source links and snippets tailored for agent builder workflows.

Searches live public web pages for travel accessibility data relevant to operations teams, returning source links and snippets.

Computes adjacent-row delta changes and a date-by-category pivot table for up to 200 travel administration records (trip_count or recorded_cost), returning two analytical reports per call.

Computes adjacent row changes and an equal-width histogram for travel administration records (trip_count or recorded_cost) across up to 200 rows.

Generates two analytical reports — category frequency counts and an equal-width histogram — for travel administration records containing trip_count and recorded_cost fields.

Computes category-level frequencies and a secondary-measure weighted mean for up to 200 travel administration records containing trip counts and recorded costs.

Computes category frequency distributions and trailing moving-average series for travel administration records (trip_count or recorded_cost) from up to 200 supplied rows.

Computes category-level frequency counts and Pearson/rank correlation between trip_count and recorded_cost for up to 200 travel administration records.

Computes a daily sum time series and a Pearson/correlation analysis between trip_count and recorded_cost for supplied travel administration records (up to 200 rows).

Performs a date-by-category pivot table and a keyed dataset comparison on up to 200 travel administration records (trip_count or recorded_cost), returning two analytical reports.

Analyzes up to 200 travel administration records to detect duplicate row keys and fill missing numeric values using zero, mean, or median imputation

Analyzes up to 200 travel administration records to produce a duplicate key report and a grouped numeric summary for trip_count or recorded_cost fields.

Runs two local analytical reports on travel administration records: a duplicate key detection report and a keyed comparison between two supplied datasets, covering trip_count and recorded_cost fields.

Analyzes up to 200 travel administration records to produce two local analytical reports: a duplicate key report and a numeric distribution for trip_count or recorded_cost.

Runs two local analytical reports on travel administration data: detects duplicate row_id keys and computes a weighted mean of a secondary measure (trip_count or recorded_cost) across up to 200 rows.

Deduplicates travel administration records and computes a Base-100 indexed series for trip_count or recorded_cost across up to 200 rows, producing two analytical reports.

Deduplicates exact rows and computes daily sum time series for travel administration records (trip_count or recorded_cost) across up to 200 rows.

Deduplicates travel administration records (exact row matching) and generates an equal-width histogram for a selected numeric field (trip_count or recorded_cost) across up to 200 rows.

Deduplicates travel administration records by exact row match and produces a grouped numeric summary (sum/count by team_group) for trip_count or recorded_cost fields, returning two analytical reports for up to 200 rows.

Deduplicates travel administration records and compares two keyed datasets by trip_count and recorded_cost, producing two analytical reports for up to 200 rows.

Deduplicates travel administration records exactly and filters rows by a numeric interval on trip_count or recorded_cost, returning two analytical reports for up to 200 rows.

Runs two local analytical reports on travel administration records: a grouped numeric summary (aggregated by team_group) and an adjacent row change analysis for trip_count or recorded_cost.

Computes a grouped numeric summary and a Base-100 index series for supplied travel administration records (trip_count or recorded_cost) across up to 200 rows.

Computes grouped descriptive statistics and IQR-based outlier flags for travel administration records (trip_count or recorded_cost) across team groups, processing up to 200 rows with 2 independent analytical reports per call.

Runs IQR-based outlier detection and keyed dataset comparison on travel administration records (trip_count, recorded_cost) for up to 200 rows, returning two analytical reports.

Computes numeric distribution statistics and a base-100 index series for travel administration records (trip_count or recorded_cost) across up to 200 rows.

Generates two local analytical reports — a numeric distribution and a date-by-category pivot — for supplied travel administration records (trip_count or recorded_cost).

Filters travel administration rows (trip_count or recorded_cost) to a specified numeric interval and fills missing values using zero, mean, or median imputation, returning up to 2 reports for up to 200 rows.

Filters travel administration records (trip_count, recorded_cost) to a numeric interval and computes a secondary-measure weighted mean across up to 200 rows, returning two analytical reports.

Filters travel administration records by a numeric interval and computes a two-measure correlation between trip_count and recorded_cost for up to 200 rows.

Generates two analytical reports from travel administration records: a numerically ordered row ranking and a date-by-category pivot, using trip_count or recorded_cost as the analysis field.

Audits record quality and generates a date-by-category pivot report for travel administration data (trip_count, recorded_cost) across up to 200 rows.

Runs two local analytical reports on up to 200 travel administration rows: a record quality audit and exact row deduplication, covering trip_count and recorded_cost fields.

Audits travel administration records (trip_count, recorded_cost) for quality issues and normalises string fields, producing two independent analytical reports for up to 200 rows.

Runs three analytical reports on up to 200 travel administration rows: a record quality audit, string normalisation, and category frequency counts for trip_count and recorded_cost fields.

Runs three local analytical reports on travel administration records: record quality audit, string normalisation, and daily sum series for trip_count or recorded_cost fields.

Runs three independent analytical reports (record quality audit, string normalisation, and duplicate key detection) on up to 200 travel administration records containing trip counts and recorded costs.

Runs three local analytical reports on travel administration records: record quality audit, string normalisation, and grouped numeric summary for trip_count or recorded_cost fields (up to 200 rows).

Audits up to 200 travel administration records (trip_count, recorded_cost) producing three reports: record quality audit, string normalisation, and IQR-based outlier detection.

Audits data quality and computes correlation between trip_count and recorded_cost for up to 200 travel administration records in two independent analytical reports.

Runs two local analytical reports on travel administration records: string normalisation and category frequency counts for up to 200 rows of trip_count and recorded_cost data.

Runs two local analytical reports on travel administration records: string normalisation and a date-by-category pivot table, for up to 200 rows of trip_count or recorded_cost data.

Normalises strings and fills missing values (zero, mean, or median) in travel administration records (trip_count, recorded_cost) for up to 200 rows, returning 2 analytical reports.

Normalises string fields and flags IQR-based outliers in travel administration records containing trip count and recorded cost data, returning two analytical reports for up to 200 rows.

Normalises strings and computes correlation between trip_count and recorded_cost across up to 200 travel administration rows, returning two independent analytical reports.

Computes a trailing mean time series and a secondary-measure weighted mean over supplied travel administration records (trip_count, recorded_cost) for up to 200 rows.

Computes a trailing moving average series and a two-measure Pearson correlation for up to 200 travel administration records containing trip count and recorded cost fields.

Computes Pearson correlation between trip_count and recorded_cost, plus a weighted mean of a selected secondary measure, across up to 200 travel administration records.

Computes adjacent row changes and secondary-measure weighted mean for treasury supplied balance records (opening and closing balances) across up to 200 rows.

Analyzes up to 200 rows of treasury balance records to produce a duplicate row_id report and a numerically ordered ranking of opening_balance or closing_balance values.

Deduplicates treasury balance records and generates an equal-width histogram distribution report for opening or closing balance values across up to 200 rows.

Deduplicates exact duplicate rows and fills missing opening/closing balance values in treasury supplied balance records using zero, mean, or median imputation.

Deduplicates and numerically orders rows of treasury-supplied opening/closing balance data, producing up to 2 analytical reports for up to 200 rows.

Deduplicates treasury balance records and computes correlation between opening and closing balances across up to 200 supplied rows, returning two analytical reports.