All Services

Computes a daily sum time series and a secondary-measure weighted mean from supplied tutorial completion records (starts and completions), returning two independent analytical reports for up to 200 rows.

Analyzes tutorial completion data (starts and completions) to produce a duplicate key report and a daily sum time series in a single call.

Analyzes tutorial completion records (starts and completions) to produce a duplicate key report and a numeric interval filter report for up to 200 rows.

Analyzes up to 200 tutorial completion records to produce a duplicate key report and a numerically ordered row report for starts or completions data.

Analyzes tutorial completion records (starts and completions) to produce a duplicate key report and a trailing mean series, up to 200 rows, using local analytical engines.

Runs two local analytical reports on tutorial completion data: a duplicate key report and a Pearson/Spearman correlation between starts and completions, for up to 200 rows.

Analyzes tutorial completion records by generating an equal-width histogram and filling missing numeric values using a specified method (zero, mean, or median).

Generates an equal-width histogram and a secondary-measure weighted mean for tutorial completion data (starts and completions) supplied by the caller, up to 200 rows.

Generates an equal-width histogram and a two-measure correlation report from supplied tutorial starts/completions data (up to 200 rows).

Deduplicates tutorial completion records and produces a Base-100 indexed time series for a chosen metric (starts or completions) across game areas, returning two analytical reports for up to 200 rows.

Deduplicates tutorial completion records (starts/completions) by exact row and produces a daily sum time series for a chosen metric, returning two analytical reports in one call.

Deduplicates exact rows and fills missing values (starts or completions) in tutorial completion records using statistical methods (zero, mean, or median)

Deduplicates tutorial completion records by exact row match and produces a grouped numeric summary (by game area) for starts or completions, up to 200 rows.

Deduplicates tutorial completion records by exact row match and computes a numeric distribution report for a chosen metric (starts or completions), returning two analytical reports for up to 200 rows.

Analyzes tutorial completion records (starts and completions) by producing a grouped numeric summary and adjacent row change report for up to 200 rows.

Analyzes tutorial completion records (starts and completions) to produce a grouped numeric summary and category frequency report for up to 200 rows.

Analyzes tutorial completion records (starts and completions) to flag IQR-based outliers and fill missing values using a chosen method, returning two analytical reports for up to 200 rows.

Analyzes tutorial completion data (starts and completions) to produce a numeric distribution report and an adjacent-row-change report for up to 200 rows.

Computes a numeric distribution and a secondary-measure weighted mean across up to 200 tutorial completion records (starts and completions), returning two analytical reports.

Runs two analytical reports on tutorial completion data: filters rows by a numeric interval on starts/completions, and pivots dates by game area category — up to 200 rows.

Filters tutorial completion records (starts, completions) by a numeric interval and computes a two-measure correlation, returning both reports for up to 200 rows.

Generates two local analytical reports — numeric row ordering and a base-100 index series — for supplied tutorial starts/completions data, up to 200 rows.

Analyzes tutorial completion data by producing a numeric row ordering report and a daily sum time series for starts or completions, using local analytical engines on up to 200 supplied rows.

Produces two local analytical reports for tutorial completion data: a numeric row ordering by a chosen field and an equal-width histogram, across up to 200 rows.

Sorts tutorial completion records by row order and fills missing numeric values (starts/completions) using zero, mean, or median imputation, producing two analytical reports for up to 200 rows.

Analyzes tutorial completion records (starts and completions) by applying numeric row ordering and keyed dataset comparison across up to 200 rows, returning two independent analytical reports.

Analyzes tutorial completion records (starts and completions) by producing numeric row ordering and a secondary-measure weighted mean across up to 200 rows in two independent reports.

Analyzes tutorial completion records (starts and completions) by ordering rows numerically and computing correlation between two measures, returning two independent analytical reports for up to 200 rows.

Runs two local analytical reports on tutorial completion data (starts and completions): a record quality audit and an adjacent row changes analysis, for up to 200 rows.

Runs two independent analytical reports on tutorial completion data: a record quality audit and a base-100 indexed series, covering up to 200 rows.

Runs two local analytical reports on tutorial completion data (starts and completions): a record quality audit and a category frequency breakdown by game area, for up to 200 rows.

Runs a record quality audit and equal-width histogram on up to 200 tutorial completion rows (starts/completions), returning two analytical reports.

Runs three independent data quality reports (record quality audit, exact row deduplication, and IQR outlier flagging) on tutorial completion data (starts and completions) for up to 200 rows.

Runs three independent analytical reports on tutorial completion data: record quality audit, exact row deduplication, and numeric row ordering — all for up to 200 rows in a single call.

Runs two analytical reports on tutorial completion data (starts and completions): a record quality audit and IQR-based outlier detection, for up to 200 rows.

Runs three data-quality reports (record quality audit, string normalisation, and adjacent row change detection) on up to 200 tutorial completion records containing starts and completions metrics.

Runs three local analytical reports on tutorial completion records (starts and completions): record quality audit, string normalisation, and category frequency counts — up to 200 rows, no external lookups.

Runs three local analytical reports (record quality audit, string normalisation, and equal-width histogram) on up to 200 tutorial completion records (starts and completions).

Analyzes up to 200 tutorial completion records (starts/completions) across three reports: record quality audit, string normalization, and keyed dataset comparison between two supplied datasets.

Runs three local analytical reports on tutorial completion row data: record quality audit, string normalisation, and a trailing mean series for starts or completions.

Runs two local analytical reports (string normalisation and daily sum series) on supplied tutorial completion records (starts and completions) for up to 200 rows.

Analyzes tutorial completion records (starts and completions) to produce two analytical reports: string normalization and duplicate key detection, for up to 200 rows.

Normalises string fields and produces a grouped numeric summary report from tutorial completion records (starts and completions) for up to 200 rows.

Normalises strings and performs keyed dataset comparison on two sets of tutorial completion records (starts and completions) for up to 200 rows, returning two independent analytical reports.

Runs two local analytical reports (string normalisation and numeric distribution) on up to 200 tutorial completion records containing starts and completions counts.

Normalises string fields and filters tutorial completion records (starts and completions) by a numeric interval, producing two analytical reports for up to 200 rows.

Runs two local analytical reports on tutorial completion data: string normalisation and a trailing mean series, for up to 200 rows.

Computes a trailing mean time series and a secondary-measure weighted mean from supplied tutorial completion records (starts and completions), returning two analytical reports for up to 200 rows.

Computes a trailing mean time series and a two-measure correlation analysis on tutorial completion data (starts and completions) for up to 200 rows.

Runs two statistical reports on tutorial completion data (starts vs completions): a two-measure correlation analysis and a keyed dataset comparison between two supplied datasets, for up to 200 rows each.

Computes two-measure correlation and secondary-measure weighted mean for tutorial completion data (starts and completions) across up to 200 rows.

Converts a raw score and a total possible score into a percentage, optimized for tutoring workflows.

Computes adjacent row-over-row changes and base-100 index series for tutoring session metrics (session_minutes or session_count) across up to 200 supplied rows.

Runs two local analytical reports on tutoring session data: adjacent row-to-row change detection and a date-by-category pivot table, for up to 200 rows.

Analyzes tutoring session records by computing adjacent row changes and performing keyed dataset comparison across up to 200 rows, returning two independent analytical reports.

Computes adjacent row changes and a secondary-measure weighted mean for tutoring session records (session_minutes, session_count) across up to 200 rows.

Analyzes tutoring session records to produce category frequency counts and numeric row ordering reports for up to 200 rows.

Computes category-level frequencies and a secondary-measure weighted mean for up to 200 tutoring session records, returning two analytical reports locally without any external lookups.

Analyzes up to 200 tutoring session records to produce a duplicate key report and a session_count-weighted mean of a chosen measure (session_minutes or session_count).

Deduplicates exact rows and detects adjacent row changes in tutoring session records (session_minutes or session_count) for up to 200 rows, returning two analytical reports.

Deduplicates tutoring session records and computes Pearson correlation between session_minutes and session_count for up to 200 supplied rows.

Computes grouped numeric summaries and numeric row ordering for tutoring session records (session_minutes, session_count) across up to 200 rows.

Compares two keyed tutoring session datasets and fills missing values in session_minutes or session_count fields, producing two analytical reports for up to 200 rows.

Filters tutoring session rows by a numeric interval on session_minutes or session_count and fills missing values using zero, mean, or median imputation, returning 2 analytical reports for up to 200 rows.

Filters tutoring session records by a numeric interval and computes a trailing mean series for session_minutes or session_count fields, returning two analytical reports for up to 200 rows.

Ranks tutoring session rows numerically and generates a Base-100 index series for session_minutes or session_count across up to 200 supplied records.

Sorts tutoring session records by a numeric field and filters rows within a specified numeric interval, returning up to 2 analytical reports for up to 200 supplied rows.

Computes numeric row ordering and secondary-measure weighted mean across up to 200 tutoring session records, returning two analytical reports on session_minutes or session_count data.

Computes numeric row ordering and trailing mean series for tutoring session data (session_minutes or session_count) across up to 200 rows.

Ranks tutoring session rows numerically and computes the Pearson/rank correlation between session_minutes and session_count for up to 200 supplied records.

Audits data quality and identifies exact duplicate rows in tutoring session records (session_minutes, session_count) for up to 200 rows, returning two independent analytical reports.

Audits data quality and sorts rows numerically for tutoring session records containing session_minutes and session_count fields, returning two analytical reports for up to 200 rows.

Audits record quality, normalises strings, and filters by numeric interval for tutoring session data (session_minutes, session_count) across up to 200 rows, returning 3 independent analytical reports.

Computes a secondary-measure weighted mean and performs a keyed dataset comparison on up to 200 tutoring session records (session_minutes, session_count), returning two analytical reports.

Performs string normalisation and adjacent row change analysis on tutoring session records (session_minutes or session_count) for up to 200 rows, returning two analytical reports.

Applies string normalisation and Base-100 indexing to tutoring session records (session_minutes or session_count), returning two analytical reports for up to 200 rows.

Runs two local analytical reports on tutoring session data: string normalisation of group labels and a daily sum series for session_minutes or session_count, across up to 200 rows.

Normalises strings and deduplicates exact rows in tutoring session records (session_minutes, session_count) for up to 200 rows, returning 2 analytical reports.

Normalises string fields and generates grouped numeric summaries (sum, mean, etc.) for tutoring session records covering session_minutes and session_count, across up to 200 rows.

Performs string normalisation and numeric distribution analysis on tutoring session records (session_minutes, session_count) for up to 200 rows, returning two independent analytical reports.

Normalises string fields and applies numeric row ordering to tutoring session records (session_minutes, session_count) for up to 200 rows, returning 2 analytical reports.

Normalises tutoring session records and computes Pearson/rank correlation between session_minutes and session_count for up to 200 rows, returning two analytical reports.

Looks up a Twitter/X user profile by their username and returns user account details

Fetches the tweet timeline for the Twitter/X user 'delphi_intel', with optional inclusion of replies

Fetches the recent tweets posted by the Twitter user mickeyhardy, with optional inclusion of replies

Fetches the recent tweets posted by the Twitter/X user @rei_labs, with optional inclusion of replies

Fetches recent tweets posted by the Twitter/X user @strategymstr, optionally including replies

Fetches the recent tweets posted by the Twitter/X user @0xstajus, with optional inclusion of replies

Fetches the recent tweets posted by the Twitter/X user RobotMoneyAgent, with optional inclusion of replies

Retrieves the recent tweets posted by a specific Twitter/X user (MelchBD), optionally including replies

Fetches recent tweets posted by the Twitter/X user 'lienfiapp', with an option to include replies

Fetches the latest tweets posted by the Twitter/X user @STRC_live, with optional reply inclusion

Fetches the Twitter/X profile data for Kyle Samani (@KyleSamani) including bio, metrics, and account details.

Fetches the recent tweets posted by the Twitter/X user @HyperliquidR, with optional inclusion of replies

Fetches the latest tweets from the @grovedotfinance Twitter/X account, with optional inclusion of replies

Fetches the recent tweets posted by the Twitter/X user FourPillarsFP, with optional inclusion of replies

Fetches recent tweets from the Twitter/X user CryptoParadigmX, with optional reply inclusion

Fetches the recent tweets posted by the Twitter/X user @Scroll_ZKP, optionally including replies

Retrieves recent tweets posted by the Twitter/X user 'foundation', optionally including replies

Fetches recent tweets from the Twitter/X user SCHIZO_FREQ, optionally including replies