All Services

Computes confidence calibration bins for a commerce intent classifier using up to 200 labelled records with predicted probabilities and actual labels.

Computes a confusion matrix for a commerce intent classifier (browse/purchase/return/other) given up to 200 labelled and predicted text records.

Generates a fixed-holdout learning curve for a commerce intent classifier (browse/purchase/return/other) using up to 200 labelled text records with naive-Bayes baselines.

Computes label distribution statistics for a set of labelled commerce intent text records (browse, purchase, return, other)

Accepts up to 200 labelled text records with commerce intent categories and returns a formatted JSONL export for local ML evaluation and naive-Bayes baseline training.

Computes macro, micro, and weighted precision/recall/F1 scores for a set of commerce intent classification predictions (browse, purchase, return, other) against ground-truth labels.

Computes multiclass log loss for a commerce intent classifier (browse/purchase/return/other) from up to 200 labelled text records with predicted probabilities.

Evaluates a supplied set of labelled commerce-intent text records (browse/purchase/return/other) broken down by group, returning per-group classification metrics and naive-Bayes baseline comparisons.

Trains a naive-Bayes text classifier on up to 200 labelled commerce-intent records and classifies query texts into browse, purchase, return, or other categories

Computes adjacent row-over-row changes and base-100 indexed series for commercial proposal comparison data (quoted_amount, delivery_days) across up to 200 rows.

Runs two local analytical reports on commercial proposal data: adjacent row-to-row change analysis and a date-by-category pivot, for up to 200 rows of quoted_amount or delivery_days data.

Analyzes commercial proposal data (quoted_amount or delivery_days) by computing adjacent row changes and an equal-width histogram in a single call, supporting up to 200 rows.

Analyzes commercial proposal data (quoted_amount, delivery_days) to detect adjacent row changes and fill missing values using zero, mean, or median imputation, producing two reports for up to 200 rows.

Analyzes commercial proposal data (quoted_amount, delivery_days) to produce two local analytical reports: adjacent row changes and two-measure correlation, for up to 200 rows.

Generates two analytical reports (Base-100 indexed time series and date-by-category pivot) for commercial proposal comparison data including quoted amounts and delivery days.

Generates two analytical reports — a Base-100 indexed series and an equal-width histogram — over supplied commercial proposal comparison data (quoted_amount, delivery_days) for up to 200 rows.

Generates a Base-100 index series and fills missing values for commercial proposal comparison data (quoted_amount, delivery_days) across up to 200 rows.

Runs two analytical reports on commercial proposal data: a Base-100 index series and a keyed dataset comparison for quoted_amount or delivery_days across up to 200 rows.

Generates a Base-100 index series and a two-measure correlation report for commercial proposal data (quoted amount and delivery days) across up to 200 rows.

Runs two local analytical reports on commercial proposal data: category frequency counts and adjacent row change deltas for quoted_amount or delivery_days fields.

Generates two analytical reports — category frequencies and a date-by-category pivot — for supplied commercial proposal comparison records containing quoted amounts and delivery days.

Computes category frequency counts and an equal-width histogram for quoted_amount or delivery_days fields across up to 200 commercial proposal comparison records.

Analyzes commercial proposal data (quoted amounts and delivery days) by computing category frequencies and filling missing values using zero, mean, or median imputation — two analytical reports for up to 200 rows.

Analyzes commercial proposal comparison records to produce category frequency counts and a numeric interval filter report for quoted_amount or delivery_days fields.

Computes category frequencies and a secondary-measure weighted mean for commercial proposal comparison records (quoted_amount, delivery_days) — two analytical reports for up to 200 rows.

Analyzes commercial proposal records to compute category-level frequencies and a Pearson/Spearman correlation between quoted_amount and delivery_days, returning two statistical reports for up to 200 rows.

Generates two local analytical reports for commercial proposal comparison data: a daily sum series and adjacent row change analysis for quoted_amount or delivery_days fields.

Generates two analytical reports from commercial proposal comparison data: a daily sum time series and a date-by-category pivot table, for quoted_amount or delivery_days fields.

Computes daily sum time series for commercial proposal fields (quoted_amount or delivery_days) with explicit missing-value fill, across company groups, for up to 200 rows.

Computes daily sum time series and IQR-based outlier flags for commercial proposal data (quoted amounts and delivery days) across company groups, returning two analytical reports for up to 200 rows.

Runs two local analytical reports on commercial proposal data: a daily sum time series and a keyed dataset comparison across quoted_amount or delivery_days fields, for up to 200 rows.

Computes a daily sum time series and a secondary-measure weighted mean for up to 200 commercial proposal comparison records (quoted_amount, delivery_days)

Computes a daily sum time series and a two-measure correlation report for commercial proposal comparison records (quoted_amount and delivery_days) across company groups.

Pivots commercial proposal data by date and company category, then fills missing values, returning two analytical reports for up to 200 rows of quoted_amount or delivery_days data.

Runs two local analytical reports on commercial proposal data: a date-by-category pivot table and a keyed dataset comparison, covering up to 200 rows of quoted_amount or delivery_days fields.

Analyzes up to 200 commercial proposal records to produce a duplicate key report and adjacent row changes report for quoted_amount or delivery_days fields.

Analyzes commercial proposal comparison records to produce a duplicate key report and a Base-100 indexed series for quoted_amount or delivery_days fields, across up to 200 rows.

Generates two local analytical reports for commercial proposal comparison data: a duplicate key report and a daily sum series for quoted_amount or delivery_days across up to 200 rows.

Runs two analytical reports on commercial proposal data: a duplicate key report and a date-by-category pivot table, returning insights on quoted amounts or delivery days for up to 200 rows.

Analyzes up to 200 commercial proposal comparison records to produce a duplicate key report and an equal-width histogram for quoted_amount or delivery_days fields.

Analyzes up to 200 commercial proposal records to identify duplicate keys and fill missing values (quoted_amount or delivery_days) using zero, mean, or median imputation.

Analyzes up to 200 commercial proposal records to produce a duplicate key report and a grouped numeric summary for quoted_amount or delivery_days fields.

Analyzes up to 200 commercial proposal records to produce a duplicate key report and numeric row ordering on quoted_amount or delivery_days fields.

Analyzes commercial proposal comparison data to produce a duplicate key report and a secondary-measure weighted mean report for quoted_amount or delivery_days fields.

Generates a duplicate key report and a trailing mean series for commercial proposal comparison records (quoted_amount, delivery_days) from up to 200 supplied rows.

Analyzes up to 200 rows of commercial proposal comparison records to produce a duplicate key report and a two-measure correlation analysis between quoted_amount and delivery_days.

Generates equal-width histogram and explicit missing-value fill reports for commercial proposal comparison data (quoted_amount, delivery_days) across up to 200 rows.

Runs two local analytical reports on commercial proposal data: an equal-width histogram of a selected measure and a delivery-days-weighted mean of quoted amounts (or vice versa), across up to 200 rows.

Runs two analytical reports on commercial proposal data: exact row deduplication and adjacent row changes, for up to 200 rows of quoted_amount or delivery_days data.

Runs two local analytical reports on commercial proposal data: exact row deduplication and daily sum time series for quoted_amount or delivery_days across up to 200 rows.

Deduplicates exact rows and generates a duplicate key report for commercial proposal comparison records (quoted_amount, delivery_days) — up to 200 rows, 2 reports per call.

Deduplicates exact rows and produces grouped numeric summaries for commercial proposal comparison records (quoted_amount, delivery_days) across up to 200 rows.

Performs exact row deduplication and keyed dataset comparison on up to 200 commercial proposal records (quoted_amount, delivery_days), returning two independent analytical reports.

Deduplicates and numerically orders commercial proposal comparison records (quoted_amount, delivery_days) for up to 200 rows, producing 2 independent analytical reports.

Deduplicates exact rows and computes a trailing mean time series for commercial proposal comparison records (quoted_amount, delivery_days) on up to 200 supplied rows.

Analyzes commercial proposal comparison data (quoted_amount, delivery_days) by producing a grouped numeric summary and a daily sum time series in a single API call.

Analyzes commercial proposal data (quoted amounts and delivery days) by computing grouped numeric summaries and equal-width histograms across company groups, for up to 200 rows.

Performs grouped numeric summary statistics and explicit missing-value filling on commercial proposal comparison records (quoted_amount, delivery_days) for up to 200 rows, returning two analytical reports per call.

Runs two local analytical reports on commercial proposal data: a grouped numeric summary and a numeric row ordering, for up to 200 rows of quoted_amount or delivery_days data.

Computes grouped numeric summaries and trailing mean time series for commercial proposal data (quoted_amount or delivery_days) across up to 200 rows.

Analyzes commercial proposal data to flag IQR-based outliers and generate a date-by-category pivot table for quoted amounts or delivery days across up to 200 rows.

Runs IQR-based outlier detection and two-measure correlation analysis on supplied commercial proposal data (quoted_amount, delivery_days) for up to 200 rows, returning two analytical reports.

Analyzes up to 200 commercial proposal comparison records, producing two local analytical reports: a numeric distribution for quoted_amount or delivery_days, and category frequency counts across company groups.

Runs two local analytical reports on commercial proposal comparison data: a numeric distribution of quoted amounts or delivery days, and a date-by-category pivot grouped by company.

Computes numeric distribution statistics and fills missing values for commercial proposal data (quoted_amount, delivery_days) across up to 200 rows, producing 2 analytical reports.

Generates two statistical reports (numeric distribution and grouped numeric summary) for commercial proposal data fields (quoted_amount or delivery_days) across up to 200 rows, grouped by company.

Analyzes commercial proposal data (quoted amounts and delivery days) by running two local analytical reports: a numeric distribution and a keyed dataset comparison across up to 200 rows.

Computes a numeric distribution report and a numeric interval filter report for commercial proposal comparison records (quoted_amount, delivery_days) across up to 200 rows.

Computes numeric distribution statistics and a secondary-measure weighted mean for up to 200 commercial proposal comparison records across quoted_amount and delivery_days fields.

Computes a numeric distribution report and a trailing mean time series for quoted_amount or delivery_days across commercial proposal comparison records, grouped by company.

Filters commercial proposal rows by a numeric interval and generates a Base-100 indexed series for quoted_amount or delivery_days across up to 200 supplier/company comparison records.

Filters commercial proposal comparison records by a numeric interval on quoted_amount or delivery_days, then computes a daily sum time series — two reports for up to 200 rows.

Filters commercial proposal rows by a numeric interval on quoted_amount or delivery_days, then pivots dates by company category — two analytical reports from a single uploaded dataset of up to 200 rows.

Applies a numeric interval filter and generates an equal-width histogram for up to 200 commercial proposal comparison records (quoted_amount, delivery_days) in a single call, returning 2 analytical reports.

Filters commercial proposal comparison rows by a numeric range and fills missing values in quoted_amount or delivery_days fields, producing two analytical reports for up to 200 rows.

Filters commercial proposal rows by a numeric interval on a chosen field and computes correlation between quoted_amount and delivery_days across up to 200 rows, returning two analytical reports.

Analyzes commercial proposal comparison data (quoted_amount, delivery_days) by applying numeric row ordering and adjacent row change reports to up to 200 rows.

Generates two analytical reports (numeric row ordering and base-100 indexed series) for commercial proposal comparison data including quoted amounts and delivery days, for up to 200 rows.

Computes numeric row ordering and daily sum series reports for up to 200 commercial proposal comparison records (quoted_amount, delivery_days).

Runs two local analytical reports on commercial proposal data: numeric row ordering and a date-by-category pivot, for up to 200 rows of quoted_amount or delivery_days data.

Analyzes up to 200 commercial proposal records by generating two local statistical reports: a numeric row ordering and an equal-width histogram for quoted_amount or delivery_days fields.

Performs numeric row ordering and keyed dataset comparison on two sets of commercial proposal records (quoted_amount, delivery_days) for up to 200 rows each, returning two analytical reports.

Runs two local analytical reports on commercial proposal data: numeric row ordering and secondary-measure weighted mean, across up to 200 rows of quoted_amount and delivery_days data.

Sorts commercial proposal rows numerically and computes a trailing mean series for quoted_amount or delivery_days across up to 200 proposal comparison records.

Ranks commercial proposal rows by a chosen measure and computes a two-measure correlation (quoted_amount vs delivery_days) for up to 200 supplied proposal records.

Runs two local analytical reports on commercial proposal data (quoted_amount or delivery_days): a record quality audit and a base-100 index series, for up to 200 rows.

Runs a record quality audit and category frequency analysis on commercial proposal comparison data (quoted amounts and delivery days) for up to 200 rows.

Runs two analytical reports on commercial proposal data: a record quality audit and a date-by-category pivot, using quoted_amount or delivery_days as the measure field.

Runs two local analytical reports on commercial proposal data: a record quality audit and an equal-width histogram for quoted_amount or delivery_days fields, across up to 200 rows.

Audits data quality and fills missing values (using zero, mean, or median) in commercial proposal comparison records containing quoted amounts and delivery days — up to 200 rows, two independent reports per call.

Runs two local analytical reports on supplied commercial proposal comparison records: a record quality audit and a grouped numeric summary, covering quoted_amount or delivery_days across up to 200 rows.

Runs two local analytical reports (record quality audit and numeric distribution) on up to 200 rows of commercial proposal comparison data (quoted_amount, delivery_days) for $0.01 USDC.

Runs three local analytical reports on commercial proposal data (quoted_amount or delivery_days): record quality audit, string normalisation, and base-100 indexed series — up to 200 rows per call.

Runs three offline analytical reports (record quality audit, string normalisation, and category frequency counts) on up to 200 rows of commercial proposal comparison data containing quoted amounts and delivery days.

Runs three analytical reports (record quality audit, string normalisation, and duplicate key detection) on commercial proposal comparison records containing quoted amounts and delivery days, for up to 200 rows.

Audits, normalises, and deduplicates up to 200 commercial proposal comparison records (quoted_amount, delivery_days), returning 3 independent analytical reports.

Runs three analytical reports on commercial proposal data: a record quality audit, string normalisation, and grouped numeric summary for quoted_amount or delivery_days fields across up to 200 rows.

Runs three analytical reports on commercial proposal comparison data: record quality audit, string normalisation, and IQR-based outlier flagging for quoted_amount or delivery_days fields.

Audits record quality, normalises strings, and filters rows by numeric interval for commercial proposal comparison datasets (quoted_amount, delivery_days) — up to 200 rows, 3 reports per call.

Runs three local analytical reports (record quality audit, string normalisation, and two-measure correlation) on commercial proposal comparison data rows containing quoted amounts and delivery days.