All Services

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

Computes a numeric distribution report and a daily sum time series for data freshness records (age_minutes, record_count) supplied by the caller — up to 200 rows, two reports per call.

Generates a numeric distribution report and an equal-width histogram for data freshness records (age_minutes and/or record_count fields), using local analytical engines on up to 200 supplied rows.

Computes numeric distribution statistics and IQR-based outlier flags for up to 200 data freshness records (age_minutes or record_count), returning two independent analytical reports.

Ranks rows by age_minutes or record_count and flags IQR-based outliers in supplied data freshness records, producing two analytical reports per call.

Computes trailing mean series and base-100 indexed series for user-supplied data freshness records (age_minutes and record_count fields), returning two independent analytical reports in a single call.

Computes a trailing moving-mean time series and a date-by-category pivot table for supplied data freshness records (age_minutes, record_count) — two independent analytical reports in one call.

Computes a trailing mean time series and a correlation analysis between age_minutes and record_count for supplied data freshness records, returning two statistical reports in one call.

Runs two analytical reports on data ingestion batch records: adjacent row-to-row change detection and a date-by-category pivot table, for up to 200 rows of received/accepted row counts.

Runs two local analytical reports on data ingestion batch records: adjacent row changes and an equal-width histogram for received_rows or accepted_rows fields.

Analyzes up to 200 data ingestion batch records to produce two local analytical reports: adjacent row-to-row change detection and IQR-based outlier flagging for received_rows or accepted_rows fields.

Computes a Base-100 index series and a two-measure correlation report for data ingestion batch records (received_rows and accepted_rows) over up to 200 rows.

Analyzes up to 200 data ingestion batch records to produce two reports: category frequency distributions and base-100 indexed series for received_rows or accepted_rows.

Computes category frequency counts and equal-width histogram distributions for received_rows and accepted_rows fields in data ingestion batch records (up to 200 rows, 2 reports per call).

Analyzes up to 200 data ingestion batch records to produce two local analytical reports: category frequency distribution and explicit missing-value fill for received_rows or accepted_rows fields.

Analyzes up to 200 data ingestion batch records to produce category frequency distributions and IQR-based outlier flags for received_rows or accepted_rows metrics.

Analyzes up to 200 data ingestion batch records to produce category frequency counts by dataset_group and filters rows by a numeric interval on received_rows or accepted_rows.

Analyzes data ingestion batch records by computing category frequencies and a trailing mean series for received_rows or accepted_rows over up to 200 rows.

Analyzes up to 200 data ingestion batch records to produce category frequency counts by dataset_group and a Pearson/rank correlation between received_rows and accepted_rows.

Runs two local analytics reports on supplied data ingestion batch records: a daily sum series and adjacent row changes for received_rows or accepted_rows.

Computes a daily sum time series and an equal-width histogram for received_rows or accepted_rows fields in supplied data ingestion batch records (up to 200 rows, 2 reports in one call).

Computes daily sum time series and IQR-based outlier flags for data ingestion batch metrics (received_rows, accepted_rows) across up to 200 supplied records.

Computes daily sum time series and performs keyed dataset comparison for data ingestion batch records (received_rows, accepted_rows) across up to 200 rows.

Computes daily sum and trailing mean analytics for received_rows and accepted_rows across up to 200 data ingestion batch records.

Generates two analytical reports for data ingestion batch records: a date-by-category pivot table and a keyed dataset comparison, for up to 200 rows.

Analyzes up to 200 data ingestion batch records to produce a duplicate row_id report and a grouped numeric summary of received_rows or accepted_rows by dataset group.

Analyzes up to 200 data ingestion batch records to produce a duplicate key report and IQR-based outlier flags for received_rows or accepted_rows metrics.

Analyzes up to 200 data ingestion batch records to produce a duplicate key report and numeric distribution analysis for received_rows or accepted_rows fields.

Generates two analytical reports (equal-width histogram and date-by-category pivot) for data ingestion batch records covering received_rows and accepted_rows fields.

Analyzes up to 200 data ingestion batch records (received_rows, accepted_rows) by computing an equal-width histogram and filling missing values with a chosen strategy, returning two independent analytical reports.

Computes equal-width histograms and IQR-based outlier flags for received_rows and accepted_rows fields across up to 200 data ingestion batch records.

Generates an equal-width histogram and a keyed dataset comparison report for up to 200 data ingestion batch records, analyzing received_rows or accepted_rows metrics.

Computes an equal-width histogram and a two-measure Pearson/Spearman correlation for supplied data ingestion batch records (received_rows, accepted_rows) in a single call.

Analyzes up to 200 data ingestion batch records to produce two reports: exact row deduplication and adjacent row change detection across received_rows and accepted_rows fields.

Deduplicates rows in a data ingestion batch and produces a date-by-category pivot table for either received_rows or accepted_rows — two reports in one call for up to 200 rows.

Deduplicates exact rows and generates a duplicate key report for up to 200 data ingestion batch records containing received_rows and accepted_rows fields.

Performs exact row deduplication and keyed dataset comparison on two supplied data ingestion batch datasets (received_rows, accepted_rows) of up to 200 rows each, returning two independent analytical reports.

Analyzes up to 200 data ingestion batch records to produce two reports: exact duplicate row detection and numeric distribution statistics for received_rows or accepted_rows fields.

Analyzes data ingestion batch records to produce a grouped numeric summary and adjacent row change report for received_rows or accepted_rows fields.

Computes grouped numeric summary statistics and category frequency distributions for data ingestion batch records (received_rows, accepted_rows) across up to 200 rows.

Computes a grouped numeric summary and a trailing moving-average series for up to 200 data-ingestion batch records (received_rows, accepted_rows) using local analytical engines.

Analyzes up to 200 data ingestion batch records to produce IQR-based outlier flags and a date-by-category pivot table for received_rows or accepted_rows.

Analyzes up to 200 data ingestion batch records to produce two reports: IQR-based outlier detection and a keyed comparison between two datasets, for received_rows or accepted_rows metrics.

Computes numeric distribution statistics and a base-100 index series for received_rows and accepted_rows fields across up to 200 data ingestion batch records.

Generates two local analytical reports — a numeric distribution and a daily sum time series — for data ingestion batch records (received_rows, accepted_rows) across up to 200 rows.

Generates two local analytical reports — a numeric distribution and a date-by-category pivot — for up to 200 data ingestion batch records covering received_rows and accepted_rows fields.

Computes numeric distribution statistics and IQR-based outlier flags for received_rows and accepted_rows fields across up to 200 data ingestion batch records.

Analyzes data ingestion batch records by computing numeric distribution statistics and performing keyed dataset comparison between two supplied datasets for received_rows or accepted_rows.

Runs two analytics reports on supplied data ingestion batch records: filters rows by a numeric interval and computes a daily sum time series for received_rows or accepted_rows.

Filters data ingestion batch records by a numeric interval and computes an equal-width histogram over up to 200 rows for either received_rows or accepted_rows.

Applies a numeric interval filter and IQR-based outlier detection to up to 200 data ingestion batch records, returning two analytical reports on received_rows or accepted_rows.

Applies a numeric interval filter and computes a trailing mean series on received_rows or accepted_rows fields from supplied data ingestion batch records (up to 200 rows, 2 reports per call).

Performs two analytical reports on data ingestion batch records: numeric row ordering and keyed dataset comparison for received_rows and accepted_rows fields, supporting up to 200 rows.

Runs two local analytical reports on up to 200 data ingestion batch records: a record quality audit and a duplicate key detection report based on received_rows and accepted_rows fields.

Runs a record quality audit and an equal-width histogram analysis on up to 200 data ingestion batch records covering received_rows and accepted_rows fields.

Runs three analytical reports on data ingestion batch records: record quality audit, exact row deduplication, and adjacent row change detection for received_rows or accepted_rows fields.

Runs three analytical reports on supplied data ingestion batch records: a quality audit, exact duplicate row detection, and daily sum time series for received_rows or accepted_rows fields.

Runs three analytical reports on data ingestion batch records: a record quality audit, exact row deduplication check, and equal-width histogram for received_rows or accepted_rows fields.

Runs three local analytical reports on data ingestion batch records: record quality audit, exact row deduplication, and numeric interval filtering on received_rows or accepted_rows fields.

Runs two local analytical reports on data ingestion batch records: a record quality audit and a grouped numeric summary for received_rows or accepted_rows fields, for up to 200 rows.

Runs two local analytical reports on data ingestion batch records: a record quality audit and a keyed dataset comparison between two supplied datasets (up to 200 rows each).

Runs three analytical reports on data ingestion batch records: a record quality audit, string normalisation, and IQR-based outlier flagging for received_rows and accepted_rows fields.

Runs two analytical reports on ingestion batch data: a record quality audit and a trailing mean series for received_rows or accepted_rows over up to 200 rows.

Analyses up to 200 data ingestion batch records to produce two local reports: normalised string representations of row fields and category frequency distributions across dataset groups.

Computes a trailing moving average series and a date-by-category pivot table for data ingestion batch records (received_rows, accepted_rows) supplied by the caller.

Computes a trailing mean time series and an equal-width histogram for received_rows or accepted_rows fields across up to 200 data ingestion batch records.

Computes a trailing mean time series and fills missing values in data ingestion batch records (received_rows, accepted_rows) for up to 200 rows, returning 2 analytical reports.

Computes a trailing mean time series and a two-measure correlation report for up to 200 data ingestion batch records, covering received_rows and accepted_rows.

Computes a two-measure correlation (received_rows vs accepted_rows) and a date-by-category pivot table for up to 200 supplied data ingestion batch records in a single call.

Returns trade and market analytics data for a specific country and commodity, filtered by date range, year, and trade partner.

Returns statistical anomalies across EU agri-food prices, SEBRA payments, and trade/market data based on z-score and percent-change thresholds

Fetches the latest paginated records from a specified dataset (e.g. EU agri-food prices, SEBRA payments, road accidents, Hearthstone cards) via a paid micropayment endpoint

Returns the SEBRA payment taxonomy (budget classifications) for a specified date range in BGN or EUR currency

Returns a structured economic overview for a given country code, aggregating data from OECD, Eurostat, ECB, and World Bank sources.

Returns a completeness report for the trade/market analytics data endpoint, indicating pass/warn/fail counts for data quality checks

Deep-merges two or more JSON documents into one, with later documents overriding earlier ones

Fetches the top posts from a specified Reddit subreddit, returning structured post data via a pay-per-call API.

Fetches the top posts from a specified Reddit subreddit

Computes category frequency counts for data pipeline runs across up to 200 records, returning a local descriptive analytics report with no enrichment or forecasting.

Generates a date-by-category pivot table for data pipeline run metrics (processed rows or rejected rows) across up to 200 supplied records.

Performs a local descriptive quality audit on up to 200 data pipeline run records, reporting on processed vs. rejected row metrics per pipeline and date.

Computes a two-measure (bivariate) correlation between processed_rows and rejected_rows across up to 200 data pipeline run records, returning a local descriptive analytics report.

Searches the live web to find published privacy policies, data retention terms, and subprocessor lists for procurement-related vendors or services.

Searches the live web to find published privacy policies, data retention terms, and subprocessor documentation for product teams conducting compliance and vendor research.

Searches the live web for published privacy policies, data retention terms, and subprocessor lists relevant to security teams

Computes adjacent row-over-row changes and a base-100 indexed series for up to 200 supplied source/target reconciliation records, returning two analytical reports.

Generates two local analytical reports for reconciliation data: adjacent row-to-row change analysis and an equal-width histogram, across up to 200 source/target total records.

Analyzes up to 200 data reconciliation rows (source_total vs target_total) and produces two reports: adjacent row-to-row change analysis and IQR-based outlier flagging.

Generates two analytical reports — a base-100 indexed series and an equal-width histogram — for supplied data reconciliation records comparing source_total vs target_total values.

Generates a base-100 index series and a two-measure correlation report for up to 200 rows of source/target reconciliation data using local analytical engines.

Analyzes up to 200 reconciliation rows to produce two reports: category frequency distribution and adjacent row change detection for source/target totals.

Runs two local analytical reports on data reconciliation records: category frequency counts and an equal-width histogram for a chosen numeric field (source_total or target_total).

Analyzes up to 200 data reconciliation rows (source_total vs target_total) to produce category frequency distributions and IQR-based outlier flags across dataset groups.

Analyzes supplied data reconciliation records to produce two local reports: a daily sum series and adjacent row change analysis, for up to 200 rows.

Generates two analytical reports from supplied reconciliation data: a daily sum time series and a date-by-category pivot table, for up to 200 rows.

Generates two analytical reports (a daily sum time series and an equal-width histogram) over supplied source/target reconciliation data, using local computation on up to 200 rows.

Reconciles daily sum series data between source and target totals, computing daily aggregates and filling missing values using a chosen fill method (zero, mean, or median) for up to 200 rows across two analytical reports.

Runs two analytical reports on reconciliation data: a date-by-category pivot table and a row-keyed comparison between two datasets (source_total vs target_total), up to 200 rows each.

Analyzes up to 200 data reconciliation rows to produce a duplicate key report and category frequency breakdown for source and target totals.

Generates two analytical reports for data reconciliation records: a duplicate key report and a daily sum series, for up to 200 rows of source/target totals.