All Services

Computes category-level frequency counts across recruitment funnel records (applications and interviews) grouped by source, date, or other categorical dimensions.

Analyzes redirect observation records by ranking rows numerically and comparing two datasets keyed by row_id, for up to 200 rows across two reports.

Runs three analytical reports — record quality audit, string normalization, and numeric distribution — on redirect observation records containing redirect_count and final_status_code fields.

Fetches install lifecycle hooks metadata for the 'redis' npm package from the registry for integration and upgrade planning.

Generates a paid AI-produced decision brief comparing advertised referral credits vs actual payouts, activation thresholds, vesting terms, and clawback conditions across agent payment rails.

Validates calendar date fields in a refund imports CSV table, checking up to 1000 rows for date format correctness and constraint compliance.

Validates that numeric columns in a refund imports CSV table contain properly typed numeric values, flagging any type violations across up to 1000 rows.

Validates a CSV table of refund import data and flags cells containing spreadsheet formula syntax (e.g. formulas starting with =, +, -, @)

Analyzes registry snapshot data by computing adjacent row changes and equal-width histogram distributions for registered_entities or changed_entities fields, returning two independent analytical reports for up to 200 rows.

Analyzes supplied registry snapshot records to detect adjacent row changes and compute two-measure correlation between registered_entities and changed_entities fields, returning two analytical reports for up to 200 rows.

Computes a Base-100 index series and a secondary-measure weighted mean over supplied registry snapshot rows (registered_entities, changed_entities) using local analytical engines.

Analyzes registry snapshot data to produce category frequency distributions and adjacent row change reports for registered and changed entity counts.

Analyzes registry snapshot data by computing category frequencies and performing a keyed dataset comparison across two supplied datasets of up to 200 rows each.

Analyzes registry snapshot records to produce category frequency counts and numeric row ordering for up to 200 rows across two independent reports.

Generates two analytical reports from registry snapshot data: a daily sum time series and a date-by-category pivot table, for up to 200 rows of registered/changed entity counts.

Computes daily sum time series and secondary-measure weighted mean for registry snapshot data (registered_entities, changed_entities) across up to 200 rows, returning two independent analytical reports.

Analyzes up to 200 registry snapshot rows to produce two reports: a duplicate key detection report and an adjacent-row change analysis for registered_entities or changed_entities fields.

Analyzes supplied registry snapshot records to produce a duplicate key report and category frequency breakdown for registered_entities and changed_entities fields.

Analyzes supplied registry snapshot rows to produce a duplicate key report and a date-by-category pivot table for registered_entities or changed_entities metrics.

Computes an equal-width histogram and a secondary-measure weighted mean over user-supplied registry snapshot records (registered_entities, changed_entities) for up to 200 rows.

Deduplicates registry snapshot rows and computes daily sum time series for registered_entities or changed_entities across up to 200 supplied rows.

Deduplicates registry snapshot rows exactly and generates a date-by-category pivot report for registered_entities or changed_entities fields, returning two analytical reports for up to 200 rows.

Performs exact row deduplication and generates a duplicate key report on registry snapshot records (registered_entities, changed_entities) for up to 200 rows, returning two independent analytical reports.

Deduplicates exact rows and applies numeric ordering to registry snapshot records (registered_entities, changed_entities) across up to 200 rows, returning two analytical reports.

Deduplicates registry snapshot rows and computes a weighted mean on a secondary measure for up to 200 records, producing two analytical reports.

Deduplicates registry snapshot rows and computes a trailing mean series for registered_entities or changed_entities fields across up to 200 supplied records.

Analyzes supplied registry snapshot data (registered_entities, changed_entities) by producing a grouped numeric summary and a date-by-category pivot table, up to 200 rows.

Analyzes registry snapshot rows for IQR-based outlier detection and computes a secondary-measure weighted mean, returning two independent analytical reports for up to 200 rows.

Compares two registry snapshot datasets by key and fills explicit missing values, producing two analytical reports covering registered and changed entity metrics for up to 200 rows.

Computes numeric distribution statistics and numeric row ordering reports for registry snapshot data (registered_entities, changed_entities) across up to 200 rows.

Computes a numeric distribution and a secondary-measure weighted mean over supplied registry snapshot records (registered_entities, changed_entities) for up to 200 rows.

Filters registry snapshot rows by a numeric interval on a chosen field and computes a Pearson/rank correlation between registered_entities and changed_entities, returning two analytical reports for up to 200 supplied rows.

Analyzes supplied registry snapshot data to produce numeric row ordering and adjacent row change reports for registered_entities or changed_entities fields.

Applies numeric row ordering and explicit missing-value fill to registry snapshot records (registered_entities, changed_entities) for up to 200 rows, returning 2 analytical reports.

Sorts registry snapshot rows by a numeric field and filters them to a specified numeric interval, returning up to 2 analytical reports on registered_entities or changed_entities data.

Computes numeric row ordering and secondary-measure weighted mean for supplied registry snapshot records (registered_entities, changed_entities) across up to 200 rows in two independent reports.

Audits data quality and fills missing values in registry snapshot records (registered_entities, changed_entities) for up to 200 rows, producing two independent analytical reports.

Runs two analytical reports on supplied registry snapshot data: a record quality audit and a numeric interval filter for registered_entities or changed_entities values.

Runs two analytical reports on registry snapshot data (registered_entities, changed_entities): a record quality audit and a numeric row ordering, for up to 200 rows.

Runs two analytical reports on supplied registry snapshot rows: a data-quality audit of registered_entities/changed_entities records, plus a secondary-measure weighted mean computation, covering up to 200 rows per call.

Audits data quality and normalises strings in registry snapshot records (registered_entities, changed_entities) for up to 200 rows, returning two independent analytical reports.

Runs three independent analytical reports (record quality audit, string normalisation, and adjacent row change detection) on up to 200 registry snapshot rows containing registered_entities and changed_entities counts.

Runs three analytical reports on registry snapshot data (registered_entities, changed_entities): a record quality audit, string normalisation, and an equal-width histogram — all in one call for up to 200 rows.

Runs three local analytical reports on registry snapshot rows: a record quality audit, string normalisation, and a grouped numeric summary — all on supplied data up to 200 rows.

Audits record quality, normalises strings, and filters rows by numeric interval for registry snapshot data containing registered_entities and changed_entities fields.

Audits data quality, normalises strings, and orders rows numerically for registry snapshot records (registered_entities, changed_entities) across up to 200 rows, returning 3 independent analytical reports.

Runs three analytical reports on registry snapshot data: a record quality audit, string normalisation, and a secondary-measure weighted mean, for up to 200 rows of registered/changed entity data.

Runs three local analytical reports on registry snapshot data: a record quality audit, string normalisation, and a trailing mean time series — all on supplied rows, no external lookups.

Runs a data quality audit and a two-measure correlation analysis on up to 200 registry snapshot rows containing registered_entities and changed_entities fields, returning two independent analytical reports.

Computes a secondary-measure weighted mean and fills missing values in registry snapshot records (registered_entities, changed_entities) for up to 200 rows, returning 2 analytical reports.

Runs string normalisation and equal-width histogram analysis on up to 200 registry snapshot records (registered_entities or changed_entities field), returning two independent analytical reports per call.

Normalises string fields and fills missing numeric values in registry snapshot records (registered_entities, changed_entities) for up to 200 rows using two local analytical reports.

Normalises strings and performs keyed comparison between two sets of registry snapshot records (registered_entities, changed_entities) across company groups and dates, returning two analytical reports for up to 200 rows.

Runs two local analytical reports on supplied registry snapshot data — string normalisation and trailing mean series — for up to 200 rows of registered/changed entity counts.

Performs string normalisation and two-measure correlation analysis on registry snapshot data (registered_entities, changed_entities) for up to 200 rows, returning two independent analytical reports.

Computes a trailing moving average time series and a date-by-category pivot table for supplied registry snapshot data (registered_entities, changed_entities) — two analytical reports in one call.

Computes the Pearson correlation between registered_entities and changed_entities, and calculates a weighted mean of a selected secondary measure, for up to 200 registry snapshot rows.

Fetches recent Google News RSS results about regulation, legislation, and government policy with a consulting industry focus

Returns CryptoIZ get_alpha_scanner signals for detecting crypto trading opportunities, payable in Solana USDC via x402 protocol.

Computes a Base-100 indexed rebase report for rejected share fraction across a series of mining data rows, normalizing values relative to a chosen base period.

Computes a statistical distribution summary for rejected share fraction across a batch of mining interval rows

Generates a one-input sensitivity table for rejected share fraction in cryptocurrency mining, varying either rejected_shares or total_shares across a user-supplied range against a baseline scenario.

Computes a sequential input-change (waterfall) attribution report showing how changes in rejected shares and total shares between two states affect the rejected share fraction metric.

Calculates the target gap metric for rejected share fraction in cryptocurrency mining, given total shares and rejected shares inputs against a defined target.

Computes a weighted mean of rejected share fraction across multiple mining data rows, using user-supplied weights.

Detects prompt injection attacks in user-submitted text sessions, returning whether a breach was found and how many sessions were analyzed

Computes confidence calibration bins for a release-change classifier (feature/fix/documentation/maintenance) from up to 200 labelled text records with predicted probabilities.

Detects exact normalised duplicates among up to 200 labelled release-change text records (feature, fix, documentation, maintenance).

Splits up to 200 labelled release-change text records into grouped train/test partitions and returns local dataset evaluation statistics with a naive-Bayes baseline.

Computes prediction error metrics for a labelled dataset of release-change text records classified into feature/fix/documentation/maintenance categories.

Generates a taxonomy prompt template for classifying software release changes (feature, fix, documentation, maintenance) from up to 200 labelled text records.

Counts and inventories number tokens (numeric values, dates, quantities) found in release notes Markdown or plain text documents up to 20,000 characters.

Normalises whitespace in release notes documents (Markdown or plain text) using deterministic processing, up to 20,000 characters.

Checks whether a given URL performs a redirect and returns the redirect chain or final destination

Audits the OpenAPI specification of the JSON reliability service, returning a validation/audit report.

Generates a seeded pack of CC0-licensed SVG game artifact assets (orb, key, seed, mask, blade) for use in imaginary worlds and game projects.

Computes a base-100 indexed time series and fills missing values for render job data (render_seconds, sample_count) across up to 200 rows.

Analyzes render job records to produce two reports: category frequencies by asset group and a date-by-category pivot for render_seconds or sample_count metrics.

Analyzes render job records to produce category frequency counts and numeric row ordering reports for render_seconds or sample_count fields.

Runs two local analytical reports on render job records: a daily sum series and adjacent row change detection, for up to 200 rows.

Analyzes up to 200 render job records to produce a duplicate key report and an adjacent row changes report for render_seconds or sample_count fields.

Analyzes up to 200 render job records to produce a duplicate row_id detection report and an explicit missing-value fill report for render_seconds or sample_count fields.

Analyzes up to 200 render job records to produce a duplicate key report and IQR-based outlier flags for render_seconds or sample_count fields.

Generates two analytical reports on render job records: a duplicate key report and a numeric row ordering report for render_seconds or sample_count fields, for up to 200 rows.

Analyzes render job records to produce a duplicate key report and a sample-count-weighted mean of render_seconds or sample_count values, covering up to 200 rows in two independent analytical reports.

Analyzes render job records to produce a duplicate key report and a trailing moving-average series for render_seconds or sample_count fields, returning two analytical reports for up to 200 rows.

Runs two local analytical reports on render job records: exact row deduplication and adjacent row changes, across up to 200 rows of render_seconds or sample_count data.

Deduplicates render job records and produces a Base-100 indexed time series for render_seconds or sample_count metrics across up to 200 rows.

Deduplicates exact rows and computes category frequencies for render job records (render_seconds, sample_count) in a single call returning two reports.

Deduplicates render job records exactly by row and generates an equal-width histogram for either render_seconds or sample_count across up to 200 rows.

Deduplicates render job records exactly by row and compares two keyed datasets of render metrics (render_seconds, sample_count), returning two independent analytical reports.

Deduplicates render job records and sorts them numerically by render_seconds or sample_count, returning two analytical reports for up to 200 rows.

Deduplicates render job rows exactly and computes correlation between render_seconds and sample_count for up to 200 supplied records, returning two analytical reports.

Computes grouped numeric summaries and numeric row orderings for render job records (render_seconds, sample_count) — two analytical reports for up to 200 rows.

Analyzes up to 200 render job records to flag IQR-based outliers and compute a secondary-measure weighted mean across render_seconds and sample_count fields.

Filters render job records by a numeric interval on render_seconds or sample_count, then produces two analytical reports: an interval-filtered view and adjacent-row change detection.

Filters render job records by a numeric interval on a chosen field and fills missing values using zero, mean, or median imputation — returning two analytical reports for up to 200 rows.

Applies a numeric interval filter and performs a keyed dataset comparison across two supplied render job datasets (render_seconds, sample_count) for up to 200 rows each.

Analyzes render job records by sorting them numerically and computing adjacent-row changes for render_seconds or sample_count fields, returning two analytical reports for up to 200 rows.

Analyzes render job records by computing numeric row ordering and daily sum series for render_seconds or sample_count fields across up to 200 rows.