All Services

Generates an equal-width histogram and IQR-based outlier flags for source_total or target_total fields across up to 200 data reconciliation records, returning two independent analytical reports.

Deduplicates rows exactly and produces grouped numeric summaries for source/target reconciliation data, up to 200 rows, returning 2 analytical reports per call.

Deduplicates rows exactly and flags IQR-based outliers in source_total/target_total reconciliation data, returning 2 independent analytical reports for up to 200 rows.

Deduplicates rows and compares two keyed datasets to identify discrepancies between source and target totals, producing two independent reconciliation reports for up to 200 rows.

Runs two local analytical reports on up to 200 reconciliation rows: exact row deduplication and numeric distribution analysis for source_total and target_total fields.

Generates two analytical reports — a grouped numeric summary and a base-100 indexed series — from supplied data reconciliation records comparing source and target totals.

Computes grouped numeric statistics and category frequency distributions for data reconciliation records containing source and target totals, processing up to 200 rows in two independent analytical reports.

Generates two local analytical reports — a grouped numeric summary and an equal-width histogram — for data reconciliation records containing source_total and target_total fields.

Computes grouped descriptive statistics and flags IQR-based outliers for up to 200 data reconciliation rows comparing source_total vs target_total values, producing two independent analytical reports.

Runs two analytical reports on supplied reconciliation data: a grouped numeric summary (aggregated stats by dataset_group) and a keyed row-by-row comparison between two datasets (source_total vs target_total), for up to 200 rows.

Runs two local analytical reports on supplied data reconciliation records: IQR-based outlier detection and a date-by-category pivot table, for up to 200 rows.

Analyzes up to 200 data reconciliation records (source_total vs target_total) using IQR-based outlier detection and secondary-measure weighted mean calculations, returning two independent analytical reports.

Runs two analytical reports on up to 200 data reconciliation rows: IQR-based outlier flagging on a selected field and Pearson/correlation analysis between source_total and target_total.

Compares two keyed datasets row-by-row, identifies discrepancies between source_total and target_total, and fills explicit missing values, producing two analytical reports for up to 200 rows.

Generates two analytical reports (numeric distribution and daily sum series) for supplied data reconciliation records comparing source_total vs target_total, for up to 200 rows.

Generates two analytical reports — a numeric distribution and a date-by-category pivot — for data reconciliation records comparing source and target totals across up to 200 rows.

Computes numeric distribution statistics and IQR-based outlier flags for up to 200 data reconciliation records containing source and target totals.

Runs two analytical reports on supplied data reconciliation rows: a numeric distribution summary and a numeric interval filter, for source_total and target_total fields across up to 200 rows.

Computes numeric distribution statistics and a trailing mean time series for source_total and target_total reconciliation data, returning two analytical reports for up to 200 rows.

Analyzes supplied data reconciliation records (source_total vs target_total) by computing numeric distribution statistics and a two-measure correlation report for up to 200 rows.

Runs two analytical reports on supplied reconciliation data: a numeric interval filter (rows within a value range) and a base-100 index series, for up to 200 rows of source/target totals.

Filters data reconciliation rows by a numeric range on a chosen field and generates an equal-width histogram over source_total or target_total values, returning two analytical reports for up to 200 rows.

Runs two local analytical reports on up to 200 reconciliation rows: a record quality audit and a daily sum series for source_total or target_total fields.

Runs three local analytical reports on reconciliation row data (source_total vs target_total): a record quality audit, exact row deduplication check, and adjacent row change detection, for up to 200 rows.

Runs three independent analytical reports on reconciliation data (source_total vs target_total): a record quality audit, exact row deduplication check, and equal-width histogram — all locally, with no external lookups.

Runs three analytical reports on up to 200 reconciliation rows: a record quality audit, exact row deduplication, and a grouped numeric summary of source vs. target totals.

Runs three local analytical reports on supplied reconciliation data: a record quality audit, exact row deduplication, and IQR-based outlier flagging — up to 200 rows per call.

Performs a record quality audit and IQR-based outlier detection on up to 200 source/target reconciliation row pairs, returning two independent analytical reports.

Runs two independent analytical reports on supplied reconciliation data: a record quality audit and a keyed comparison between source_total and target_total across up to 200 rows.

Runs two local analytical reports (record quality audit and numeric distribution) on up to 200 data reconciliation rows comparing source and target totals, for $0.01 USDC.

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

Runs three analytical reports on supplied reconciliation data (source_total vs target_total): a record quality audit, string normalisation, and IQR-based outlier flagging — all locally, without external lookups.

Runs three local analytical reports on supplied reconciliation data: record quality audit, string normalisation, and keyed dataset comparison between source and target totals across up to 200 rows.

Normalises strings and identifies duplicate keys across up to 200 data reconciliation rows (source_total vs target_total), returning two independent analytical reports.

Normalises string fields and fills missing values (via zero, mean, or median) in data reconciliation records comparing source_total vs target_total, returning two analytical reports for up to 200 rows.

Compares two keyed datasets (source vs target totals) across up to 200 rows using string normalisation and side-by-side analytical reconciliation, returning two independent reports.

Computes two analytical reports on reconciliation data: a trailing moving-average series and row-over-row delta changes, for up to 200 source/target total pairs.

Computes a trailing mean time series and performs a keyed dataset comparison across two sets of reconciliation records (source_total vs target_total) for up to 200 rows.

Runs two local analytical reports on supplied reconciliation data: a Pearson/correlation analysis between source_total and target_total, plus a date-by-category pivot table, for up to 200 rows.

Computes Pearson/Spearman correlation between source_total and target_total, and performs a keyed row-by-row comparison between two supplied datasets, for up to 200 reconciliation records.

Measures join multiplication factor and unmatched record counts when joining two datasets on declared key fields, without returning the joined data itself.

Counts missing fields, nulls, empty strings, and populated cells per column across a supplied dataset, without imputation or PII detection.

Runs two analytical reports on supplied dataset partition size records: adjacent row-over-row change detection and a date-by-category pivot, for up to 200 rows.

Runs two local analytical reports on dataset partition size records (row_count or file_mb): an adjacent row changes analysis and an equal-width histogram, for up to 200 rows.

Computes a Base-100 indexed time series and IQR-based outlier flags for dataset partition size metrics (row_count or file_mb) across up to 200 supplied records.

Runs two local analytical reports on supplied dataset partition size records — category frequency distribution and keyed dataset comparison — for up to 200 rows at $0.01 USDC.

Computes a daily sum time series and a base-100 index series for supplied dataset partition size records (row_count or file_mb), returning two analytical reports for up to 200 rows.

Generates a daily sum time series and an equal-width histogram for dataset partition size metrics (row_count or file_mb) from up to 200 supplied records.

Analyzes dataset partition size records by producing a daily sum time series and a keyed comparison between two supplied datasets, for row_count or file_mb metrics.

Produces two analytical reports from dataset partition records: a date-by-category pivot table and an explicit missing-value fill, for up to 200 rows of row_count or file_mb data.

Generates two analytical reports from supplied dataset partition size records: a date-by-category pivot table and a keyed comparison between two datasets, for up to 200 rows each.

Analyzes supplied dataset partition size records (row_count, file_mb) to produce a duplicate key report and an equal-width histogram in a single call.

Analyzes up to 200 dataset partition size records (row_count, file_mb) and returns two independent analytical reports: a duplicate key report and a grouped numeric summary.

Analyzes up to 200 dataset partition size records to produce a duplicate key report and IQR-based outlier flags for row_count or file_mb fields.

Analyzes up to 200 dataset partition size records to produce a duplicate key report and a two-measure correlation analysis between row_count and file_mb.

Generates an equal-width histogram and explicit missing-value fill report for up to 200 dataset partition size records (row_count or file_mb), using local analytical engines with no external calls.

Computes an equal-width histogram and a secondary-measure weighted mean for up to 200 dataset partition size records (row_count and file_mb), returning two analytical reports in one call.

Deduplicates dataset partition size records and flags IQR-based outliers across row_count and file_mb fields for up to 200 rows in two independent analytical reports.

Analyzes dataset partition size records (row_count, file_mb) to flag IQR-based outliers and fill missing values using a chosen imputation method, returning two independent analytical reports.

Analyzes dataset partition size records (row_count, file_mb) to produce IQR-based outlier flags and a two-measure correlation report for up to 200 rows.

Runs two local statistical reports on supplied dataset partition size records: a numeric distribution analysis and an adjacent-row change detection, for up to 200 rows across row_count and file_mb fields.

Analyzes up to 200 dataset partition size records (row_count and file_mb) to produce numeric distribution statistics and category frequency reports for the dataset_group field.

Computes a numeric distribution summary and an equal-width histogram for dataset partition size metrics (row_count or file_mb) across up to 200 supplied records.

Computes numeric distribution statistics and IQR-based outlier flags for dataset partition size metrics (row_count or file_mb) across up to 200 supplied records.

Runs two analytical reports on dataset partition size records (row_count, file_mb): a numeric distribution analysis and a keyed comparison between two supplied datasets, for up to 200 rows each.

Computes numeric distribution statistics and a trailing mean time series for dataset partition size metrics (row_count or file_mb) across up to 200 supplied records.

Runs three independent analytical reports (record quality audit, exact row deduplication, and category frequency analysis) on up to 200 dataset partition size records containing row counts and file sizes.

Runs three independent analytical reports (record quality audit, exact row deduplication, and trailing mean series) on dataset partition size records containing row counts and file sizes.

Audits record quality, normalises strings, and flags IQR-based outliers for dataset partition size records (row_count, file_mb) — delivering 3 analytical reports for up to 200 rows.

Computes trailing moving-average series and base-100 index series for dataset partition size metrics (row_count or file_mb) supplied by the user.

Computes a trailing mean time series and an equal-width histogram for dataset partition size records (row_count or file_mb), returning two analytical reports for up to 200 rows.

Computes a trailing mean time series and fills missing values for dataset partition size records (row_count or file_mb) over up to 200 rows.

Computes trailing moving averages and IQR-based outlier flags for dataset partition size metrics (row_count, file_mb) across up to 200 supplied records.

Analyzes up to 200 dataset storage records to produce two reports: adjacent row-to-row changes and IQR-based outlier flags for used_mb or row_count fields.

Computes a Base-100 indexed time series and a two-measure correlation report for supplied dataset storage records (used_mb, row_count) — up to 200 rows, two analytical reports per call.

Computes two analytical reports on dataset storage records: a daily sum time series and a date-by-category pivot table, for up to 200 supplied rows.

Computes daily sum time series and IQR-based outlier flags for dataset storage metrics (used_mb or row_count) from up to 200 supplied records

Pivots dataset storage records (used_mb or row_count) by date and category, filling missing values via zero, mean, or median, returning two analytical reports for up to 200 rows.

Runs two analytical reports on supplied dataset storage records: a date-by-category pivot table and a keyed comparison between two datasets, for up to 200 rows each.

Computes an equal-width histogram and a date-by-category pivot table for dataset storage metrics (used_mb, row_count) from up to 200 supplied rows.

Runs two local analytical reports on submitted dataset storage records: IQR-based outlier flagging and a date-by-category pivot table, for up to 200 rows of used_mb or row_count data.

Detects IQR-based outliers and fills missing values in dataset storage records (used_mb, row_count) for up to 200 rows, returning two analytical reports.

Performs IQR-based outlier detection and keyed row-by-row comparison on two supplied dataset storage snapshots (used_mb, row_count) for up to 200 rows, returning two independent analytical reports.

Analyzes up to 200 dataset storage records (used_mb, row_count) to produce IQR-based outlier flags and a two-measure correlation report using local statistical engines.

Runs two local analytical reports on supplied dataset storage records: a record quality audit and a duplicate key detection report, covering up to 200 rows of used_mb and row_count data.

Runs three local analytical reports (record quality audit, exact row deduplication, and numeric distribution) on up to 200 supplied dataset storage records containing used_mb and row_count fields.

Runs three local analytical reports on dataset storage records: a record quality audit, string normalisation check, and numeric distribution analysis for the used_mb and row_count fields.

Computes trailing moving-average series and adjacent row-to-row change analysis for dataset storage metrics (used_mb, row_count) over up to 200 supplied rows.

Computes a two-measure correlation report and a date-by-category pivot table for up to 200 dataset storage records containing used_mb and row_count fields.

Computes adjacent row-over-row changes in checked or failed record counts for data validation results, returning local descriptive analytics for up to 200 typed records.

Computes a grouped numeric summary (descriptive statistics) over data validation result records, segmented by rule group, date, and selected metric field.

Computes a numeric distribution report (descriptive statistics) for either checked_records or failed_records across up to 200 data validation result rows.

Runs a local descriptive quality audit on up to 200 data validation records, reporting failure rates and quality metrics per rule and date.

Computes a two-measure correlation (e.g., checked_records vs. failed_records) over up to 200 typed data validation records, returning a local descriptive analytics report with no enrichment or forecasting.

Returns the current date and time for a given timezone

Looks up geographic location and metadata for a given IP address

Classifies input text into specified categories using AI-powered text processing

Returns geolocation data (country, region, city, coordinates, etc.) for a given IP address

Searches for available hotels at a destination for given check-in/check-out dates, number of rooms, and adults

Fetches trivia questions by category type and quantity, returning question data on demand for a small USDC micropayment.