All Services

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.

Filters camera coverage records (shot_count or coverage_seconds) to a numeric interval and fills missing values using zero, mean, or median imputation — returns 2 analytical reports for up to 200 rows.

Audits camera coverage records (shot_count, coverage_seconds) for data quality issues and generates a duplicate key report, returning two independent analytical reports for up to 200 rows.

Runs three analytical reports on camera coverage records (shot_count, coverage_seconds): record quality audit, exact row deduplication, and adjacent row change detection — all offline, up to 200 rows per call.

Runs three local analytical reports on camera coverage data (shot_count, coverage_seconds): record quality audit, exact row deduplication, and daily sum time series — up to 200 rows per call.

Runs three local analytical reports on camera coverage records — a record quality audit, exact row deduplication, and an equal-width histogram — for up to 200 rows of shot_count and coverage_seconds data.

Audits quality of camera coverage records (shot_count, coverage_seconds) and fills missing values using zero, mean, or median imputation, returning two analytical reports for up to 200 rows.

Runs two analytical reports on supplied camera coverage records: a record quality audit and IQR-based outlier detection for shot_count or coverage_seconds fields, across up to 200 rows.

Runs a record quality audit and numeric distribution analysis on up to 200 camera coverage records (shot_count or coverage_seconds), returning two independent analytical reports.

Runs three local analytical reports on camera coverage records — record quality audit, string normalisation, and adjacent row changes — for up to 200 rows of shot_count or coverage_seconds data.

Runs three local analytical reports on camera coverage data (shot_count, coverage_seconds): a record quality audit, string normalisation, and a date-by-category pivot — all on up to 200 supplied rows, no external lookups.

Runs three local analytical reports on supplied camera coverage records (shot_count, coverage_seconds): a record quality audit, string normalisation, and duplicate key detection — for up to 200 rows.

Runs three offline analytical reports on camera coverage row data: a record quality audit, string normalisation check, and two-measure correlation between shot_count and coverage_seconds.

Runs two analytical reports on camera coverage data (shot_count, coverage_seconds): a record quality audit and a trailing mean time series, for up to 200 rows.

Normalises string fields and computes daily sum time series for camera coverage records (shot_count or coverage_seconds) across up to 200 rows.

Normalises string fields and flags IQR-based outliers in camera coverage records (shot_count, coverage_seconds) for up to 200 rows with 2 independent analytical reports.

Normalises strings and performs keyed dataset comparison on two sets of camera coverage records (shot_count, coverage_seconds), producing 2 analytical reports for up to 200 rows.

Computes a trailing mean time series and adjacent row changes for camera coverage data (shot_count or coverage_seconds) across up to 200 rows, returning two analytical reports.

Computes trailing mean time series and base-100 index series for camera coverage data (shot_count or coverage_seconds) across up to 200 rows, returning two analytical reports.

Computes a trailing mean time series and an equal-width histogram over camera coverage records (shot_count or coverage_seconds) for up to 200 rows, returning two analytical reports.

Computes a trailing mean time series and a secondary-measure weighted mean for camera coverage data (shot_count, coverage_seconds) across up to 200 supplied rows, returning two analytical reports.

Computes a trailing mean time series and a two-measure correlation report for camera coverage data (shot_count and coverage_seconds) supplied by the caller, up to 200 rows.

Runs two local statistical reports on user-supplied camera coverage data: a Pearson/Spearman correlation between shot_count and coverage_seconds, and a date-by-asset-group pivot table, for up to 200 rows.

Splits a campaign brief document (Markdown or plain text) into bounded text chunks of a specified maximum character size using deterministic processing.

Detects and reports duplicate paragraphs within a campaign brief document supplied as Markdown or plain text.

Masks email addresses and phone numbers found in campaign brief documents (Markdown or plain text, up to 20,000 characters) using deterministic pattern matching.

Generates a structured heading outline from a campaign brief document (Markdown or plain text, up to 20,000 characters) using deterministic document template processing.

Extracts and inventories all HTTP links found within a campaign brief document supplied as Markdown or plain text.

Scans a campaign brief document and inventories all ISO-date patterns found within it, returning a structured list of detected dates.

Extracts and inventories all quoted passages from a campaign brief document supplied as Markdown or plain text.

Reorders the recognised sections of a campaign brief document into a standard sequence using deterministic template logic.

Audits a campaign brief document to verify all required sections are present and complete

Generates a structured section template for a campaign brief from supplied Markdown or plain text, with deterministic formatting and no generative prose.

Scans a campaign brief document and reports coverage statistics for a user-supplied list of terms, using deterministic document processing with no generative AI.

Counts and ranks word frequencies in a campaign brief document supplied as Markdown or plain text (up to 20,000 characters).

Validates a campaign-imports CSV file and identifies blank rows, accepting up to 1000 rows with configurable delimiter, cell-length, and allowed category values.

Validates calendar date fields in a campaign import CSV, checking up to 1000 rows for date correctness against declared constraints.

Validates CSV cell lengths in campaign import data against a declared maximum, auditing up to 1000 rows for contract compliance.

Validates that all record keys in a campaign import CSV are unique, returning a uniqueness report for up to 1000 rows.

Validates a campaign import CSV (up to 1000 rows) against declared contract rules and returns a structured validation summary report.

Validates a campaign imports CSV file and exports a report of valid rows, checking up to 1000 rows against declared schema constraints.

Validates a CSV file of campaign import data for whitespace issues, checking up to 1000 rows with configurable delimiters and cell constraints.

Delivers sanitized Polymarket CLOB implied probabilities, bid-ask spread depth, and smart-money orderbook skew for high-volume prediction markets by category.

Computes a confusion matrix for a cancellation-reason classifier given up to 200 labelled text records with actual and predicted category labels.

Generates a fixed-holdout learning curve for a labelled cancellation-reason text dataset using a naive-Bayes classifier, showing how accuracy scales with training set size.

Audits up to 200 labelled text records for a cancellation-reason classifier, computing evaluation metrics such as accuracy, confusion matrices, and log-loss against four classes: price, usage, quality, and other.

Computes the label distribution (class balance) across up to 200 labelled cancellation-reason text records tagged as price, usage, quality, or other.

Evaluates a classifier's performance on customer cancellation-reason labels (price, usage, quality, other) by computing macro, micro, and weighted precision/recall/F1 scores from up to 200 labelled records.

Computes multiclass log loss metric for a cancellation reason text classifier across up to 200 labelled records with four classes: price, usage, quality, other.

Computes per-label precision and recall metrics for a cancellation-reason text classifier across four categories: price, usage, quality, and other.

Evaluates a supplied set of up to 200 labelled text records for cancellation reason classification, computing per-group metrics and naive-Bayes baselines without hosted model training.

Generates a taxonomy prompt template for classifying customer cancellation reasons (price, usage, quality, other) from up to 200 labelled text records.

Retrieve fact-checked information and academic research about events on a given date and topic, for AI agents to verify claims and explore scholarly sources.

Returns current political leaders for a given country, supporting fact-checking and research use cases.

Looks up an entity by ID to verify claims, retrieve academic papers, or explore journal content for AI agents

Verifies claims and searches academic papers/journals for AI agents, accepting an entity ID to retrieve fact-check or research results.