All Services

Validates the CSV header contract (column names and types) for build result import files, supporting up to 1000 rows with quoted cells and configurable delimiters.

Validates a CSV table of build result import data and exports a report identifying all invalid rows, supporting up to 1000 rows.

Validates a CSV table representing build result imports and returns located cell-level error reports for up to 1000 rows.

Validates numeric column values in a CSV of build result imports, checking that all numbers fall within a specified min/max range.

Validates that all record keys in a CSV of build result import data are unique, processing up to 1000 rows and returning a uniqueness report.

Validates that required cells in a build result imports CSV table are non-empty, checking up to 1000 rows against a declared contract.

Validates a CSV table of build result import data and flags cells containing spreadsheet formula characters that could pose injection risks.

Validates and normalizes a CSV table of build result import records, trimming whitespace and applying typed conversion to up to 1000 rows.

Validates a CSV of build result records and exports only the rows that pass all declared contract checks, supporting up to 1000 rows.

Fetches npm registry install lifecycle hook metadata for the bullmq package to support integration and upgrade planning.

Retrieves published artifact integrity metadata (checksums, signatures, dist info) for a specific version of the bullmq npm package from the registry.

Retrieves runtime and platform constraints metadata for the bullmq npm package to support integration and upgrade planning.

Computes a base-100 indexed rebase report for bundle attachment share across up to 200 retail order records, benchmarked to a chosen row.

Calculates bundle attachment share (bundle orders divided by eligible orders) for up to 200 retail records in a single batch call

Computes a before-and-after comparison report for bundle attachment share metrics using supplied retail order figures.

Computes a distribution histogram of bundle attachment share rates from supplied retail order data, returning binned frequency counts across up to 200 records.

Runs a one-input sensitivity analysis on bundle attachment share rate, varying either eligible_orders or bundle_orders across up to 50 supplied values and returning tabular results.

Computes a rolling mean of bundle attachment share (bundle orders / eligible orders) over a sliding window across up to 200 retail data rows.

Performs waterfall/sequential attribution analysis on bundle attachment share by stepping each input variable from baseline to final values one at a time, showing the incremental contribution of each change.

Calculates the bundle attachment share (ratio of bundle orders to eligible orders) for a single data point supplied by the caller.

Classifies rows of retail bundle attachment share data against lower and upper thresholds, returning a bounded classification report for up to 200 records.

Calculates a base-100 rebased index of bundle contribution margins across multiple retail bundle scenarios, anchored to a chosen baseline row.

Calculates bundle contribution margin for up to 200 rows of retail bundle data in a single batch call, returning profit contribution figures per row.

Calculates and compares bundle contribution margins before and after a change in retail figures (price, costs, fulfilment)

Calculates the Pearson or rank correlation between bundle contribution margins and a set of benchmark values for retail bundle pricing analysis.

Computes a distribution histogram of bundle contribution margins from supplied retail pricing and cost data, segmented into configurable bins.

Identifies IQR-based statistical outliers across a batch of retail bundle contribution records using supplied price and cost figures.

Computes the local finite-change elasticity of bundle contribution margin with respect to a specified cost or price field, given a retail bundle scenario.

Computes and compares bundle contribution margins across multiple named scenarios by varying item costs, bundle price, packing cost, and fulfilment cost against a baseline.

Computes a one-input sensitivity table for bundle contribution margin, sweeping a single variable (price or cost) across user-supplied values against a retail baseline.

Ranks multiple retail bundle records by their contribution margin (bundle price minus item costs, packing, and fulfilment costs) using local calculation and scenario analysis.

Performs sequential (waterfall) attribution analysis showing how changes in bundle price, item costs, packing cost, and fulfilment cost each contribute to the change in bundle contribution margin.

Calculates the contribution margin for a retail product bundle given item costs, bundle price, packing cost, and fulfilment cost.

Calculates the gap between a bundle's actual contribution and a specified profit/contribution target, using supplied retail figures.

Classifies the contribution margin of retail product bundles as above or below user-defined lower/upper thresholds, using supplied price and cost figures.

Generates a two-dimensional scenario grid showing bundle contribution margins across combinations of two retail variables (e.g. bundle price vs item costs).

Calculates the weighted mean of bundle contribution margins across multiple retail product bundles using supplied pricing and cost figures.

Computes adjacent row-over-row changes and a base-100 indexed series for business directory coverage metrics (listed_entities, verified_entities) across up to 200 supplied data rows.

Analyzes business directory coverage data (listed_entities, verified_entities) by computing adjacent row-to-row changes and an equal-width histogram, returning 2 statistical reports for up to 200 rows.

Runs two local analytical reports on business directory coverage data: adjacent row change detection and keyed dataset comparison for listed_entities and verified_entities fields, up to 200 rows.

Computes adjacent row changes and secondary-measure weighted mean analytics on business directory coverage data (listed_entities, verified_entities) for up to 200 rows in two reports.

Runs two local analytical reports (Base-100 indexed time series and date-by-category pivot) on supplied business directory coverage data tracking listed and verified entities.

Generates two local analytical reports (Base-100 indexed series and equal-width histogram) for business directory coverage data (listed_entities, verified_entities) supplied by the caller, for up to 200 rows.

Computes Base-100 index series and IQR-based outlier flags for business directory coverage metrics (listed_entities, verified_entities) across up to 200 supplied rows, delivering two independent analytical reports.

Computes a Base-100 index series and a secondary-measure weighted mean for up to 200 rows of business directory coverage data (listed_entities, verified_entities).

Computes a Base-100 index series and a two-measure correlation report for supplied business directory coverage data (listed_entities, verified_entities) across up to 200 rows.

Analyzes up to 200 business directory coverage records to produce two reports: category frequency distribution and adjacent row changes for listed_entities or verified_entities fields.

Computes category-frequency distributions and base-100 index series for business directory coverage data (listed_entities, verified_entities) across up to 200 supplied rows.

Computes category frequency counts and an equal-width histogram for listed_entities or verified_entities fields across up to 200 business directory coverage records.

Analyzes business directory coverage data (listed_entities, verified_entities) to produce category frequency reports and fill missing values using zero, mean, or median imputation — up to 200 rows, 2 reports per call.

Computes category frequencies and IQR-based outlier flags for business directory coverage metrics (listed_entities, verified_entities) across up to 200 supplied rows, producing 2 independent analytical reports.

Analyzes business directory coverage records to produce category frequency distributions and a numeric interval filter report for listed_entities and verified_entities fields.

Computes category frequency distributions and trailing mean time series for business directory coverage metrics (listed_entities, verified_entities) across up to 200 rows of supplied data.

Computes category frequencies and two-measure (listed_entities vs verified_entities) correlation analysis for up to 200 business directory coverage records

Computes daily sum time series and adjacent row changes for business directory coverage metrics (listed_entities, verified_entities) over up to 200 supplied rows, returning two analytical reports.

Computes a daily sum time series and a Base-100 indexed series for business directory coverage metrics (listed_entities, verified_entities) from user-supplied row data.

Runs two local analytical reports on business directory coverage data: a daily sum time series and a date-by-category pivot table, for up to 200 rows of listed/verified entity counts.

Computes daily sum time series and fills missing values for business directory coverage metrics (listed_entities, verified_entities) across up to 200 rows.

Computes a daily sum time series and a keyed dataset comparison for supplied business directory coverage records (listed_entities, verified_entities) across up to 200 rows.

Computes daily sum series and trailing mean series for business directory coverage metrics (listed_entities, verified_entities) from supplied row data, returning 2 statistical reports in one call.

Pivots business directory coverage data (listed and verified entities) by date and company category, and fills missing values using zero, mean, or median imputation — returning two analytical reports for up to 200 rows.

Runs two analytical reports on business directory coverage data: a date-by-category pivot table and a keyed dataset comparison, across up to 200 supplied rows.

Analyzes supplied business directory coverage records to produce a duplicate key report and an adjacent row changes report for up to 200 rows.

Generates a duplicate key report and an equal-width histogram for business directory coverage data (listed_entities, verified_entities) across up to 200 rows.

Analyzes up to 200 business directory coverage rows to produce a duplicate key report and fill missing values in listed_entities or verified_entities using zero, mean, or median imputation.

Analyzes up to 200 rows of business directory coverage data to produce a duplicate key report and IQR-based outlier flags for listed_entities and verified_entities fields.

Runs two local analytical reports on supplied business directory coverage data: a duplicate key report and a numeric interval filter, for up to 200 rows.

Analyzes up to 200 rows of business directory coverage data (listed_entities, verified_entities) to produce a duplicate key report and a two-measure correlation analysis.

Generates an equal-width histogram and a date-by-category pivot table from supplied business directory coverage data (listed_entities, verified_entities) for up to 200 rows.

Generates an equal-width histogram and fills missing values for business directory coverage metrics (listed_entities, verified_entities) across up to 200 supplied rows, producing 2 analytical reports.

Runs two local analytical reports on business directory coverage data: an equal-width histogram of a chosen field and a keyed dataset comparison between two supplied row sets, for up to 200 rows.

Analyzes uploaded business directory coverage records to produce exact row deduplication results and category frequency reports for listed_entities and verified_entities fields.

Deduplicates exact duplicate rows and computes daily sum time series for business directory coverage metrics (listed_entities, verified_entities) across up to 200 supplied records.

Deduplicates up to 200 business directory coverage records exactly by row and generates an equal-width histogram for a chosen coverage metric (listed_entities or verified_entities).

Deduplicates exact rows and produces grouped numeric summaries for business directory coverage records (listed_entities, verified_entities) across up to 200 rows in two independent reports.

Deduplicates exact rows and flags IQR-based outliers in business directory coverage data (listed_entities, verified_entities) for up to 200 rows, producing 2 analytical reports.

Deduplicates business directory coverage rows and filters by numeric interval across listed_entities or verified_entities fields, returning two analytical reports for up to 200 rows.

Deduplicates business directory coverage records and computes two-measure correlation (listed_entities vs verified_entities) across up to 200 rows, returning two analytical reports.

Generates two analytical reports (grouped numeric summary and base-100 indexed series) from supplied business directory coverage data (listed_entities, verified_entities) for up to 200 rows.

Generates two analytical reports (grouped numeric summary and daily sum series) for business directory coverage data (listed_entities, verified_entities) across up to 200 rows.

Generates two analytical reports — a grouped numeric summary and a date-by-category pivot — for business directory coverage data (listed_entities, verified_entities) across up to 200 rows.

Generates a grouped numeric summary and an equal-width histogram for business directory coverage data (listed_entities, verified_entities) from up to 200 supplied rows.

Runs two analytical reports on business directory coverage data: a grouped numeric summary by company group and a keyed comparison between two supplied datasets, for up to 200 rows of listed/verified entity counts.

Computes grouped numeric summaries and applies numeric interval filtering on business directory coverage records (listed_entities, verified_entities) for up to 200 rows, returning two independent analytical reports.

Computes a grouped numeric summary and a trailing mean time series for business directory coverage data (listed_entities, verified_entities) across up to 200 rows.

Runs two local analytical reports on business directory coverage data: a grouped numeric summary and a two-measure correlation between listed and verified entities.

Runs two analytical reports on business directory coverage data: IQR-based outlier detection and a date-by-category pivot, for up to 200 rows of listed/verified entity counts.

Detects IQR-based outliers and fills missing values in business directory coverage data (listed_entities, verified_entities) for up to 200 rows, returning two independent analytical reports.

Runs IQR-based outlier detection and two-measure correlation analysis on supplied business directory coverage records (listed_entities, verified_entities) for up to 200 rows.

Computes numeric distribution statistics and category frequency counts for business directory coverage fields (listed_entities, verified_entities) across up to 200 supplied rows.

Generates two local analytical reports — numeric distribution and date-by-category pivot — for business directory coverage data (listed_entities, verified_entities) across up to 200 rows.

Computes numeric distribution statistics and fills missing values (zero/mean/median) for business directory coverage fields (listed_entities, verified_entities) across up to 200 supplied rows.

Computes numeric distribution statistics and IQR-based outlier flags for business directory coverage metrics (listed_entities, verified_entities) across supplied rows.

Runs two local analytical reports (numeric distribution and keyed dataset comparison) on supplied business directory coverage data with listed_entities and verified_entities fields, for up to 200 rows.

Computes numeric distribution statistics and applies a numeric interval filter on business directory coverage data (listed_entities, verified_entities) for up to 200 supplied rows, returning 2 analytical reports.

Computes a numeric distribution report and a secondary-measure weighted mean for up to 200 business directory coverage records (listed_entities, verified_entities) using local analytical engines.

Computes numeric distribution statistics and trailing mean time series for business directory coverage metrics (listed_entities, verified_entities) across up to 200 supplied rows.

Applies a numeric interval filter and a date-by-category pivot to supplied business directory coverage records (listed_entities, verified_entities), returning two analytical reports for up to 200 rows.

Filters business directory coverage rows (listed_entities, verified_entities) by a numeric interval and generates an equal-width histogram report over the supplied data.

Applies a numeric interval filter and IQR-based outlier detection to up to 200 business directory coverage records (listed_entities, verified_entities), returning two analytical reports.