All Services

Detects IQR-based statistical outliers in Buy-X-get-Y-free promotional merchandise totals across up to 200 retail records.

Compares named retail pricing scenarios for buy-X-get-Y-free promotions, calculating merchandise totals across a baseline and up to 20 labeled override scenarios.

Generates a one-input sensitivity table showing how a Buy-X-get-Y-free deal's merchandise total changes as one pricing variable is varied across supplied values.

Computes and attributes the change in Buy-X-Get-Y-Free promotional merchandise totals between two sets of retail parameters, showing which input changes drove the difference.

Calculates the gap between a target revenue figure and the actual merchandise total under a buy-X-get-Y-free promotional pricing structure.

Classifies buy-X-get-Y-free retail basket totals against a numeric threshold range, returning a bounded classification report for up to 200 records.

Generates a two-dimensional scenario grid showing effective merchandise totals under buy-X-get-Y-free pricing across combinations of two variable inputs

Parses a list of CAA DNS record strings and extracts the authorized certificate authority hostnames from them.

Computes adjacent (period-over-period) row changes for cache hit/miss observation data, returning a bounded descriptive analytics report for up to 200 records.

Computes a base-100 indexed series for cache hit or miss observations across up to 200 dated records, enabling normalized trend comparison anchored to a chosen baseline row.

Computes category-frequency counts across cache observation records (hits/misses by cache group and date) for up to 200 rows of typed input data.

Computes daily sum totals (hits or misses) across cache observation records, grouped by date, for up to 200 input rows.

Pivots up to 200 cache observation records (hits/misses) by date and cache category, returning a local descriptive analytics summary table.

Computes an equal-width histogram over cache hit or miss counts from up to 200 typed cache observation records, returning a local descriptive analytics report.

Removes duplicate rows from a batch of cache observation records (hits/misses by date and cache group) and returns a deduplication report.

Fills missing numeric values (hits or misses) in up to 200 cache observation records using zero, mean, or median imputation, returning a local descriptive analytics report.

Computes grouped descriptive statistics (numeric summary) for cache hit/miss observations, grouped by cache name, from up to 200 supplied records.

Compares two keyed datasets of cache hit/miss observations (up to 200 rows each) and returns local descriptive analytics highlighting differences between the two groups.

Filters cache observation records (hits/misses) to only those rows where a specified numeric field falls within a given minimum-maximum range, returning local descriptive analytics on up to 200 records.

Audits the data quality of up to 200 cache observation records (hits, misses, date, cache group) and returns a local descriptive analytics report.

Finds available calendar time slots for scheduling meetings or appointments given scheduling constraints

Maps a probability value to a discrete bucket index given a specified number of bins, useful for histogram-style binning in agent pipelines.

Computes period-over-period adjacent row changes for call centre metrics (calls or wait_seconds) across up to 200 input records

Converts up to 200 call centre records (calls volume or wait time) into a base-100 indexed time series, normalised against a chosen reference row, computed entirely on-device with no external enrichment.

Computes category frequencies (counts per team/date group) for up to 200 call centre records supplied by the caller

Compares two keyed datasets of call centre records (calls and wait times) row-by-row and returns numeric difference and data-quality analysis.

Computes a numeric distribution (e.g. histogram/frequency breakdown) over call centre data fields such as call counts or wait seconds, for up to 200 records.

Filters call centre records (calls or wait_seconds) to only return rows whose numeric field value falls within a specified minimum–maximum interval.

Sorts up to 200 call centre records by a specified numeric field (calls or wait_seconds) and returns them in ordered sequence.

Validates and audits data quality of up to 200 call centre records (team, date, calls, wait_seconds) using local numeric and data-quality checks

Computes a secondary-measure weighted mean for call centre records, weighting one numeric field (e.g. wait_seconds) by another (e.g. calls) across up to 200 supplied rows.

Returns a list of EVM liquidity pool clone data (v3) for blockchain analytics and autonomous agent consumption.

Fetches data about Alien V3 liquidity pools on EVM-compatible blockchains, payable per-call in USDC via x402.

Returns trending momentum social data for tokens or topics, delivered pay-per-use via x402 blockchain micropayment.

Computes adjacent row changes and a base-100 index series for camera coverage data (shot_count or coverage_seconds) across up to 200 rows.

Analyzes camera coverage records (shot_count, coverage_seconds) by computing adjacent row changes and flagging IQR-based outliers, returning two independent analytical reports for up to 200 rows.

Runs two analytical reports on camera coverage data — a Base-100 indexed time series and a date-by-category pivot table — for up to 200 supplied rows of shot_count or coverage_seconds data.

Generates a Base-100 index series and an equal-width histogram for supplied camera coverage records (shot_count or coverage_seconds) across up to 200 rows.

Computes a base-100 index series and fills missing values for camera coverage records (shot_count or coverage_seconds) across up to 200 rows.

Computes Base-100 indexed time series and IQR-based outlier flags for camera coverage records (shot_count or coverage_seconds) across up to 200 rows, producing two analytical reports.

Computes a Base-100 index series and a two-measure correlation report for supplied camera coverage data (shot_count and coverage_seconds) over up to 200 rows.

Analyzes up to 200 camera coverage records to produce two local analytical reports: category frequency distribution by asset group and adjacent row changes for shot_count or coverage_seconds.

Computes category frequency distributions and a base-100 indexed series for camera coverage records (shot_count or coverage_seconds) from up to 200 supplied rows.

Computes category frequency distributions and daily sum time series for camera coverage records (shot_count or coverage_seconds) from up to 200 supplied rows.

Analyzes supplied camera coverage records to produce two reports: category frequency counts by asset group and a date-by-category pivot table for shot_count or coverage_seconds metrics.

Analyzes camera coverage records (shot_count and coverage_seconds) by generating category frequency counts per asset group and an equal-width histogram distribution — two statistical reports in a single call.

Analyzes camera coverage records by computing category frequencies for asset groups and filtering numeric fields (shot_count or coverage_seconds) by a specified numeric interval, returning two analytical reports for up to 200 rows.

Computes category frequencies and a secondary-measure weighted mean for camera coverage records (shot_count, coverage_seconds) across up to 200 rows, returning two independent analytical reports.

Computes category-frequency distributions and trailing moving-average series for camera coverage records (shot_count or coverage_seconds) over up to 200 rows using local analytical engines.

Computes daily sum time series and adjacent row-over-row changes for camera coverage data (shot_count or coverage_seconds) across up to 200 supplied rows.

Computes two analytical reports — a daily sum series and a base-100 indexed series — from supplied camera coverage data (shot counts and coverage seconds).

Computes two analytical reports on camera coverage data: a daily sum time series and a date-by-category pivot table, for up to 200 rows of shot_count or coverage_seconds data.

Computes a daily sum time series and an equal-width histogram for camera coverage metrics (shot_count or coverage_seconds) from user-supplied records.

Computes daily sum time series for camera coverage metrics (shot_count or coverage_seconds) and explicitly fills missing values using a chosen strategy (zero, mean, or median)

Computes daily sum time series and IQR-based outlier flags for camera coverage records (shot_count or coverage_seconds) across asset groups.

Computes daily sum time series and performs keyed dataset comparison on camera coverage records (shot_count or coverage_seconds) for up to 200 rows across two independent analytical reports.

Computes a daily sum time series and a secondary-measure weighted mean for camera coverage records (shot_count, coverage_seconds) supplied by the caller.

Computes daily sum series and trailing moving-average series for camera coverage metrics (shot_count or coverage_seconds) from supplied row data, returning two analytical reports.

Computes daily sum time series and Pearson correlation between shot_count and coverage_seconds for supplied camera coverage records (up to 200 rows).

Analyzes up to 200 camera coverage records to produce two local analytical reports: a duplicate key report and category frequency distribution for shot_count and coverage_seconds fields.

Analyzes supplied camera coverage records to produce a duplicate key report and a daily sum time series for shot_count or coverage_seconds, using local analytical engines with no external lookups.

Runs two analytical reports on supplied camera coverage data: a duplicate key report and a date-by-category pivot for shot_count or coverage_seconds metrics, supporting up to 200 rows.

Analyzes up to 200 camera coverage records to produce a duplicate key report and fill missing values in shot_count or coverage_seconds using zero, mean, or median imputation.

Analyzes supplied camera coverage records (shot_count, coverage_seconds) to produce a duplicate key report and IQR-based outlier flags for up to 200 rows.

Analyzes up to 200 camera coverage records to produce a duplicate key report and a side-by-side keyed dataset comparison across two supplied datasets.

Analyzes uploaded camera coverage records to produce a duplicate row_id report and a numeric interval filter report for shot_count or coverage_seconds fields, across up to 200 rows.

Analyzes up to 200 camera coverage records to produce a duplicate key report and a two-measure correlation between shot_count and coverage_seconds.

Runs two local analytical reports on camera coverage data: an equal-width histogram of shot_count or coverage_seconds, and a date-by-category pivot table, for up to 200 rows.

Generates an equal-width histogram and fills missing values for camera coverage records (shot_count or coverage_seconds) across up to 200 rows.

Generates equal-width histogram distribution reports and IQR-based outlier flags for camera coverage data (shot_count or coverage_seconds) across up to 200 rows.

Generates an equal-width histogram and a keyed dataset comparison report for camera coverage records (shot_count, coverage_seconds) across up to 200 rows.

Deduplicates camera coverage records by exact row matching and generates an equal-width histogram for shot_count or coverage_seconds data.

Deduplicates camera coverage rows and produces grouped numeric summaries (sum, mean, count) for shot_count or coverage_seconds fields across up to 200 records.

Deduplicates exact rows and flags IQR-based outliers in camera coverage records (shot_count, coverage_seconds) for up to 200 rows, returning 2 analytical reports.

Performs exact row deduplication and keyed dataset comparison on two sets of camera coverage records (shot_count, coverage_seconds) for up to 200 rows, returning 2 independent analytical reports.

Deduplicates exact duplicate rows and computes a trailing mean series for camera coverage records (shot_count or coverage_seconds) across up to 200 rows in two combined analytical reports.

Produces two analytical reports (grouped numeric summary and Base-100 indexed series) for camera coverage data (shot_count, coverage_seconds) across asset groups and dates.

Computes grouped numeric summary statistics and category frequency counts for camera coverage records (shot_count, coverage_seconds) across up to 200 rows using local analytical engines.

Computes a grouped numeric summary and a daily sum time series for camera coverage records (shot_count or coverage_seconds) from up to 200 supplied rows.

Computes a grouped numeric summary and an equal-width histogram for camera coverage records (shot_count or coverage_seconds) across up to 200 rows, producing two analytical reports.

Computes grouped numeric summaries (sum, mean, etc.) and fills missing values for camera coverage records (shot_count, coverage_seconds) across up to 200 rows.

Computes a grouped numeric summary and numeric row ordering for camera coverage records (shot_count or coverage_seconds) across up to 200 rows, returning 2 analytical reports.

Computes a grouped numeric summary and a trailing mean time series for camera coverage records (shot_count or coverage_seconds) from up to 200 supplied rows.

Computes a grouped numeric summary and a two-measure correlation report for camera coverage records (shot_count and coverage_seconds) supplied by the caller, using local analytical engines with no external data access.

Runs IQR-based outlier detection and explicit missing-value imputation on supplied camera coverage records (shot_count, coverage_seconds) for up to 200 rows, returning two analytical reports.

Runs IQR-based outlier detection and keyed dataset comparison on up to 200 camera coverage records (shot_count or coverage_seconds) in a single paid call.

Runs two local analytical reports on camera coverage data: IQR-based outlier detection on a chosen field and a secondary-measure weighted mean, for up to 200 rows of shot_count/coverage_seconds records.

Runs two local statistical reports on supplied camera coverage data (shot_count or coverage_seconds): numeric distribution analysis and adjacent row change detection, for up to 200 rows.

Computes numeric distribution statistics and a base-100 indexed series for up to 200 camera coverage records (shot_count or coverage_seconds), returning two analytical reports.

Computes numeric distribution statistics and category frequency counts for camera coverage records (shot_count, coverage_seconds) across up to 200 rows.

Computes numeric distribution statistics and an equal-width histogram for camera coverage records (shot_count or coverage_seconds) across up to 200 rows.

Computes numeric distribution statistics and fills missing values for camera coverage records (shot_count, coverage_seconds) across up to 200 rows, returning two independent analytical reports.

Computes numeric distribution and grouped numeric summary reports for camera coverage data (shot_count and coverage_seconds) across up to 200 rows.

Computes numeric distribution statistics and IQR-based outlier flags for camera coverage records (shot_count and coverage_seconds) on up to 200 supplied rows.

Runs two local analytical reports on camera coverage data (shot_count or coverage_seconds): a numeric distribution analysis and a keyed dataset comparison between two supplied datasets, up to 200 rows each.

Computes a numeric distribution and applies a numeric interval filter on camera coverage data (shot_count or coverage_seconds) for up to 200 rows, producing 2 analytical reports.

Computes numeric distribution statistics and a trailing mean time series for camera coverage records (shot_count or coverage_seconds) over up to 200 rows, returning two analytical reports.

Computes numeric distribution statistics and two-measure correlation between shot_count and coverage_seconds for up to 200 supplied camera coverage records

Filters camera coverage rows by a numeric interval on shot_count or coverage_seconds, then computes a daily sum time series — two analytical reports on supplied data for up to 200 rows.

Filters camera coverage records (shot_count, coverage_seconds) by a numeric interval and generates an equal-width histogram for the selected field, returning two analytical reports for up to 200 rows.