All Services

Computes a trailing moving-average series and adjacent row-over-row changes for wallet inventory records (token_units or reference_price) over up to 200 supplied rows.

Computes a trailing mean time series and a date-by-category pivot table from supplied wallet inventory records (token_units or reference_price), returning two independent analytical reports.

Computes a trailing mean time series and performs a keyed dataset comparison on two sets of wallet inventory records (token_units, reference_price) — up to 200 rows each, no external data sources.

Runs two analytical reports on supplied wallet inventory data: a Pearson/rank correlation between token_units and reference_price, and a date-by-category pivot table, for up to 200 rows.

Computes Pearson correlation between token_units and reference_price, and fills missing values in a chosen field using zero, mean, or median imputation, across up to 200 wallet inventory rows.

Computes Pearson/rank correlation between token_units and reference_price, and compares two keyed wallet inventory datasets row-by-row, returning two analytical reports for up to 200 rows each.

Computes adjacent-row delta changes and a secondary-measure weighted mean for warehouse bin occupancy and availability volume data, returning two analytical reports for up to 200 rows.

Runs two analytical reports on supplied warehouse bin records: a Base-100 index series and a keyed dataset comparison for occupied_volume or available_volume across up to 200 rows.

Analyzes warehouse bin records to produce category frequency counts and a date-by-category pivot table for occupied and available volume fields.

Analyzes up to 200 warehouse bin records to produce a duplicate key report and a secondary-measure weighted mean for occupied_volume or available_volume fields.

Runs a duplicate key report and a two-measure Pearson/correlation analysis on warehouse bin records (occupied_volume, available_volume) for up to 200 supplied rows.

Performs exact row deduplication and Base-100 index series analysis on up to 200 warehouse bin records (occupied_volume, available_volume) for a chosen metric field.

Deduplicates warehouse bin records and computes category-level frequency counts for occupied_volume and available_volume fields across up to 200 rows.

Deduplicates warehouse bin records and orders rows numerically, producing two analytical reports on occupied_volume and available_volume data for up to 200 rows.

Deduplicates warehouse bin records exactly by row and computes Pearson correlation between occupied_volume and available_volume across up to 200 supplied rows, returning two analytical reports.

Runs two local analytical reports on warehouse bin data: a grouped numeric summary (by store group) and a numeric row ordering, for up to 200 rows of occupied/available volume records.

Compares two keyed datasets of warehouse bin volume records and fills missing values, producing 2 analytical reports for up to 200 rows.

Computes numeric distribution statistics and row ordering for warehouse bin occupancy data (occupied_volume, available_volume) across up to 200 records.

Computes a numeric distribution report and a two-measure correlation analysis for warehouse bin records containing occupied_volume and available_volume fields, processing up to 200 supplied rows locally.

Filters warehouse bin records (occupied_volume or available_volume) by a numeric range and detects adjacent row changes, returning 2 analytical reports for up to 200 supplied rows.

Filters warehouse bin records by a numeric interval on occupied_volume or available_volume, then fills missing values using zero, mean, or median imputation — returning two analytical reports for up to 200 rows.

Analyzes supplied warehouse bin records to produce numeric row ordering and a Base-100 index series for occupied or available volume, across up to 200 rows.

Performs numeric row ordering and date-by-category pivot analysis on user-supplied warehouse bin records (occupied_volume, available_volume) for up to 200 rows, returning 2 independent analytical reports.

Sorts warehouse bin records by row number and fills missing occupied_volume or available_volume values using zero, mean, or median imputation, returning two analytical reports for up to 200 rows.

Sorts warehouse bin records by a numeric field and filters rows within a specified numeric range, returning up to 2 analytical reports for up to 200 supplied rows.

Runs a data quality audit and a base-100 indexed time series on up to 200 warehouse bin volume records, returning two analytical reports from locally supplied data.

Runs two analytical reports on warehouse bin records — a data quality audit and exact row deduplication — for up to 200 rows of occupied/available volume data.

Runs three analytical reports on warehouse bin records: data quality audit, exact row deduplication, and adjacent row change detection for occupied_volume or available_volume fields.

Runs three analytical reports on warehouse bin records — a record quality audit, exact row deduplication, and a grouped numeric summary — for up to 200 rows of occupied_volume and available_volume data.

Runs two analytical reports on warehouse bin records: a data quality audit and a numeric row ordering, for up to 200 rows of occupied/available volume data.

Runs two analytical reports on up to 200 warehouse bin records — a data quality audit and string normalisation — covering occupied_volume and available_volume fields, with no external lookups or live data.

Runs three independent analytical reports (record quality audit, string normalisation, and adjacent row changes) on up to 200 warehouse bin records containing occupied_volume and available_volume fields.

Runs three analytical reports on warehouse bin records (occupied_volume, available_volume): a record quality audit, string normalisation, and category frequency analysis — all locally, with no external lookups.

Runs three local analytical reports on warehouse bin records: a data quality audit, string normalisation, and a grouped numeric summary of occupied/available volume fields.

Audits quality, normalises strings, and filters by numeric interval for warehouse bin records (occupied_volume, available_volume) across up to 200 rows, returning 3 analytical reports.

Performs three bundled analytical reports on warehouse bin records — record quality audit, string normalisation, and numeric row ordering — using local engines with no external lookups.

Runs three local analytical reports on warehouse bin records: data quality audit, string normalisation, and trailing mean series computation for occupied_volume or available_volume.

Normalises string fields and computes daily sum time series for warehouse bin occupancy and availability volume data (up to 200 rows, 2 reports per call).

Runs two local analytical reports on warehouse bin records: string normalisation of text fields and a date-by-category pivot for occupied_volume or available_volume, across up to 200 rows.

Runs string normalisation and duplicate key detection on up to 200 warehouse bin records containing occupied and available volume fields, returning two analytical reports.

Normalises store_group strings and flags IQR-based outliers in occupied_volume and available_volume fields for up to 200 warehouse bin records, producing two analytical reports per call.

Normalises strings and compares two keyed warehouse bin datasets (occupied_volume, available_volume) across up to 200 rows, returning two analytical reports.

Normalises string fields and filters warehouse bin records by a numeric interval on occupied_volume or available_volume, returning two analytical reports for up to 200 rows.

Normalises string fields and computes a two-measure correlation between occupied_volume and available_volume for up to 200 warehouse bin records, returning two analytical reports.

Computes the correlation between occupied_volume and available_volume for warehouse bin records and fills missing values using a chosen method (zero, mean, or median), returning two analytical reports for up to 200 rows.

Computes Pearson/rank correlation between occupied_volume and available_volume, and performs a keyed row-by-row comparison between two supplied warehouse bin datasets (up to 200 rows each).

Filters warehouse movement records (received/dispatched units) to only those rows whose chosen numeric field falls within a specified minimum–maximum interval.

Computes a secondary-measure weighted mean over warehouse movement records (received or dispatched units) grouped by location and date.

Computes a waterfall attribution report showing how changes in total picks and correct picks between two periods affect warehouse pick accuracy.

Retrieves a named public data file from the WarpPay402 monetized data feed via x402 micropayment.

Sorts up to 200 waste monitoring records by a chosen numeric field (collected_kg or recycled_kg) with local data-quality processing.

Normalises string fields (material names, dates, row IDs) in waste monitoring records of up to 200 rows, applying local data-quality processing without external enrichment.

Sends a conversational message thread to the Sarachai AI chat endpoint and returns an AI-generated response, hosted on the academic domain of Dr. Watcharin Sarachai at Maejo University.

Sorts up to 200 water monitoring records (sites, dates, litres, cost) by a chosen numeric field in ascending order.

Normalises site names, dates, and other string fields in water monitoring records (up to 200 rows) for local data-quality processing.

Analyzes water service coverage records by computing adjacent row changes and a date-by-category pivot table for served_households or total_households data.

Computes adjacent row changes and secondary-measure weighted mean for water service coverage data (served_households, total_households) across up to 200 rows in two bundled local analytical reports.

Computes adjacent row changes and two-measure correlation for water service coverage data (served_households vs total_households) across up to 200 rows.

Runs two analytical reports on water service coverage data: category frequency counts and adjacent row change detection for served_households or total_households fields.

Computes category-frequency counts and a daily sum time series for water service coverage data (served_households, total_households) from up to 200 supplied rows.

Analyzes supplied water service coverage data by computing category frequencies for regions and filtering records by a numeric interval on household fields, returning two analytical reports for up to 200 rows.

Analyzes water service coverage records to produce category frequency counts by region and numerically ordered row rankings for served_households or total_households fields.

Computes daily sum time series and fills missing values for water service coverage data (served_households, total_households) across regions, returning two analytical reports for up to 200 rows.

Pivots water service coverage records by date and region category, then fills missing values using zero, mean, or median imputation — returning two analytical reports for up to 200 rows.

Runs two local analytical reports on water service coverage data: a duplicate key detector and a date-by-region pivot table for served or total households.

Analyzes up to 200 water service coverage rows to produce a duplicate key report and fill missing values in served_households or total_households using zero, mean, or median imputation.

Analyzes up to 200 water service coverage records to produce a duplicate key report and a grouped numeric summary for served_households or total_households fields.

Analyzes up to 200 water service coverage records to produce a duplicate key report and a numeric distribution report for served_households or total_households.

Runs two local analytical reports on water service coverage data: identifies duplicate row keys and sorts rows numerically by a chosen field (served_households or total_households).

Analyzes up to 200 rows of water service coverage data to produce a duplicate key report and a trailing mean series for served_households or total_households.

Runs an equal-width histogram and a two-measure correlation analysis on supplied water service coverage data (served_households vs. total_households) for up to 200 rows, returning two statistical reports.

Deduplicates water service coverage records and computes category frequency statistics for region and date fields across served/total household data.

Deduplicates exact duplicate rows and fills missing values in water service coverage datasets (served_households, total_households) using zero, mean, or median imputation.

Deduplicates and numerically orders rows of water service coverage data (served_households, total_households), producing 2 local analytical reports for up to 200 rows.

Deduplicates water service coverage records by exact row match and computes a secondary-measure weighted mean over served_households or total_households data.

Computes a grouped numeric summary and a Base-100 index series for water service coverage data (served_households, total_households) across regions and dates, returning two local analytical reports for up to 200 rows.

Computes grouped numeric summary statistics and fills missing values for water service coverage records (served_households, total_households) across up to 200 rows.

Computes grouped numeric summaries and numeric row ordering for water service coverage data (served_households, total_households) across up to 200 rows, returning 2 analytical reports.

Compares two water service coverage datasets by row key and fills explicit missing values in served_households or total_households fields, returning 2 analytical reports for up to 200 rows.

Computes a numeric distribution and a daily sum time series for water service coverage data (served_households, total_households) across up to 200 rows.

Computes a numeric distribution and applies a numeric interval filter on water service coverage data (served_households, total_households) for up to 200 rows, returning 2 analytical reports.

Runs two local analytical reports (numeric distribution and numeric row ordering) on supplied water service coverage data (served_households, total_households) for up to 200 rows.

Filters water service coverage records by a numeric interval on a chosen field and computes daily sum time series, returning two analytical reports for up to 200 rows.

Filters water service coverage 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.

Filters water service coverage records by numeric interval and computes a trailing mean series on served_households or total_households, returning two analytical reports for up to 200 rows.

Runs two local analytical reports on water service coverage data: numeric row ordering and a daily sum series for served_households or total_households fields across up to 200 rows.

Sorts water service coverage rows numerically and fills missing served_households or total_households values using zero, mean, or median imputation, producing 2 analytical reports for up to 200 rows.

Runs two local analytical reports on water service coverage data: numeric row ordering and a trailing moving-average series for served_households or total_households fields.

Runs two local analytical reports on water service coverage data: a record quality audit and a duplicate key detection report, for up to 200 rows.

Runs two local analytical reports (record quality audit and numeric distribution) on up to 200 rows of water service coverage data containing served_households and total_households fields.

Audits water service coverage records for quality issues and normalises region/date strings, producing two independent reports for up to 200 rows of household data.

Performs three analytical reports on water service coverage records: record quality audit, string normalisation, and duplicate key detection — all processed locally without external lookups.

Runs two local analytical reports on water service coverage data: a record quality audit and a trailing mean time series, for up to 200 rows of served/total household data.

Normalises region strings and computes daily sum time series for water service coverage data (served_households, total_households) across up to 200 rows, returning two analytical reports.

Runs string normalisation and duplicate key detection on water service coverage records (served_households, total_households) for up to 200 rows, returning two independent analytical reports.

Normalises region/date strings and computes an equal-width histogram over water service coverage household counts for up to 200 rows.

Normalises region/date strings and produces grouped numeric summaries (count, min, max, mean, etc.) for water service coverage data across served_households and total_households fields.

Performs string normalisation on region labels and computes numeric distribution statistics for water service coverage data (served_households and total_households) across up to 200 rows.

Normalises region/date strings and computes a secondary-measure weighted mean across water service coverage records (served_households, total_households) for up to 200 rows, returning two analytical reports per call.

Runs two local analytical reports on water service coverage data: a Pearson/Spearman correlation between served_households and total_households, plus a keyed row-by-row comparison between two supplied datasets.