All Services

Returns the named services driving infrastructure-category demand in the agent market, paid via x402 micropayment at $0.03 USDC per call.

Returns the named services and demand scores specifically for the analytics category in the agent marketplace, paid via x402 microtransaction.

Returns demand scores for AI agent-market categories (defi, nft, infra, social, analytics) and optionally the named services behind them, paid via x402 micropayment

Returns the named services and detailed demand intelligence for the social category of the agent-market demand snapshot, paid via x402 microtransaction.

Compares mainstream media reporting against actual court records, medical examiner testimony, and admitted evidence for a given case

Extracts forensic evidence from court records including toxicology levels, autopsy findings, medical examiner testimony, DNA results, and other forensic data exactly as entered into official court records

Returns real-time status of the X402-COFFEE-002 coffee unit, gated behind a $0.10 USDC micropayment via the x402 protocol.

Mints 5,000 BILLY tokens to a recipient wallet for 1 USDC on Base mainnet, with delivery queued in batches every 5-10 minutes.

Mints 5,000 BILLY tokens to a recipient wallet for 1 USDC payment on Base mainnet, with batch delivery every 5–10 minutes.

Retrieves raw data stored on Arweave via the AR.IO gateway for a specific transaction ID, returning approximately 782 MB of content

Stores and semantically retrieves text memories with metadata for autonomous agents using vector search and knowledge graph technology.

Executes JavaScript or Python code snippets in an isolated runtime sandbox with strict memory limits and a 3000ms timeout, returning the execution result.

Burns 10 USDC on an idle GPU cycle with zero utilitarian output and issues a permanent Sovereign Agent Oligarch status certificate on Base L2.

Computes dot products, cosine similarities, and top-K ranking over 1536-dimensional float32 embeddings against a candidate set

Computes adjacent row-to-row changes and base-100 indexed series for tutorial starts/completions data (up to 200 rows, 2 reports per call).

Analyzes tutorial completion records (starts and completions) to produce adjacent row change deltas and IQR-based outlier flags, delivering two analytical reports for up to 200 rows.

Analyzes tutorial completion data (starts and completions) by computing adjacent row changes and two-measure correlation across up to 200 rows, returning two independent analytical reports.

Generates a Base-100 indexed time series and an equal-width histogram for tutorial starts/completions data supplied by the caller, using local analytical engines with no external lookups.

Computes a Base-100 index series and a secondary-measure weighted mean from supplied tutorial completion records (starts and completions), up to 200 rows, as two independent analytical reports.

Computes category frequency counts and an equal-width histogram for tutorial completion data (starts and completions) supplied in up to 200 rows.

Computes category-level frequency counts and a trailing moving-average series for tutorial start/completion records in a single call, returning two analytical reports.

Computes a daily sum time series and adjacent-row change analysis for tutorial starts/completions data, returning two analytical reports for up to 200 rows.

Computes daily sum time series and IQR-based outlier flags for tutorial starts and completions data across game areas, returning two analytical reports for up to 200 rows.

Analyzes tutorial completion records (starts and completions) to produce a duplicate key report and category frequency breakdown for up to 200 rows.

Analyzes tutorial completion records (starts and completions) to produce a duplicate key report and a date-by-category pivot table, for up to 200 rows.

Analyzes up to 200 tutorial completion records to produce a duplicate key report and IQR-based outlier flags for a selected numeric field.

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

Generates two analytical reports from tutorial completion data: an equal-width histogram and a date-by-category pivot table, for up to 200 rows.

Generates an equal-width histogram and IQR-based outlier flags for tutorial completion data (starts and completions) supplied as up to 200 rows, returning two independent statistical reports.

Generates an equal-width histogram and a keyed dataset comparison report for tutorial completion data (starts and completions) across up to 200 rows.

Deduplicates exact rows and generates a duplicate key report for tutorial completion records (starts and completions), processing up to 200 rows with two independent analytical reports.

Deduplicates exact rows and compares two keyed datasets of tutorial completion records (starts and completions) for up to 200 rows, returning two independent analytical reports.

Deduplicates tutorial completion records by exact row and computes a trailing mean series over starts or completions data, returning two analytical reports for up to 200 rows.

Analyzes tutorial completion records by producing a grouped numeric summary and a daily sum time series for starts and completions across game areas.

Generates a grouped numeric summary and an equal-width histogram for tutorial completion data (starts and completions) grouped by game area, supporting up to 200 rows.

Analyzes tutorial completion records (starts, completions) by producing a grouped numeric summary and a numeric interval filter report for up to 200 rows.

Analyzes tutorial completion records (starts and completions) by producing a grouped numeric summary and a numerically ordered row report across up to 200 rows.

Computes a grouped numeric summary and a trailing mean time series for tutorial completion data (starts and completions) across game areas, processing up to 200 rows in two independent analytical reports.

Runs two local analytical reports on tutorial completion data: a numeric distribution analysis and a date-by-game-area category pivot, for up to 200 rows.

Computes a numeric distribution and a grouped numeric summary for up to 200 tutorial completion records (starts and completions), delivered as two independent analytical reports.

Filters tutorial completion rows by a numeric interval and computes adjacent row changes for starts or completions data, returning two analytical reports for up to 200 rows.

Analyzes tutorial completion records (starts and completions) with a numeric interval filter and base-100 indexed time series, returning two independent analytical reports for up to 200 rows.

Applies a numeric interval filter and computes a daily sum time series on tutorial completion data (starts and completions), returning 2 analytical reports for up to 200 rows.

Filters tutorial completion records by a numeric interval on starts or completions, and flags IQR-based outliers, returning two analytical reports for up to 200 rows.

Analyzes tutorial completion records (starts and completions) by applying numeric row ordering and adjacent row change calculations across up to 200 rows in two bundled reports.

Generates two analytical reports from tutorial completion data: a numerically ordered row report and a date-by-category pivot table, for up to 200 rows.

Sorts tutorial completion rows (starts/completions) by a chosen numeric field and flags statistical outliers using the interquartile range method, delivering two independent analytical reports for up to 200 rows.

Sorts and interval-filters tutorial completion records (starts and completions) by a chosen numeric field, returning up to 2 analytical reports for up to 200 rows.

Audits data quality and removes exact duplicate rows from tutorial completion records (starts and completions), producing two independent analytical reports for up to 200 rows.

Runs three analytical reports (record quality audit, exact row deduplication, and adjacent row change detection) on up to 200 tutorial completion records (starts and completions) using local engines with no external calls.

Runs three local analytical reports on tutorial completion records: a data quality audit, exact duplicate row detection, and category frequency counts — all in a single call for up to 200 rows.

Runs three independent data-quality reports (record quality audit, exact row deduplication, and duplicate key report) on up to 200 tutorial completion records containing starts and completions metrics.

Runs three analytical reports on tutorial completion records: a data quality audit, exact duplicate row removal, and a grouped numeric summary by game area.

Runs three analytical reports on tutorial completion data (starts and completions): record quality audit, exact row deduplication, and numeric distribution analysis — all within a single call for up to 200 rows.

Runs three local analytical reports on tutorial completion records: a record quality audit, exact row deduplication, and a numeric interval filter — all in one call for up to 200 rows.

Runs two local analytical reports — a record quality audit and a keyed dataset comparison — on up to 200 tutorial completion rows (starts/completions) per call.

Runs two independent analytical reports on supplied tutorial completion records — a record quality audit and string normalisation — for up to 200 rows, using local engines with no external lookups.

Runs three independent data-quality reports (record quality audit, string normalisation, and duplicate key detection) on up to 200 tutorial completion records (starts and completions by game area and date).

Runs three local analytical reports on tutorial completion records: a record quality audit, string normalisation, and a grouped numeric summary — all in a single call for up to 200 rows.

Runs three analytical reports on tutorial completion records (starts and completions): record quality audit, string normalisation, and IQR-based outlier detection — all locally, with no external calls.

Computes a secondary-measure weighted mean and performs a keyed dataset comparison for tutorial completion records (starts and completions), returning two independent analytical reports for up to 200 rows.

Analyzes tutorial completion records (starts and completions) by applying string normalization and adjacent row change analysis, returning two reports for up to 200 rows.

Analyzes tutorial completion records (starts and completions) by running string normalization and equal-width histogram binning as two independent analytical reports on up to 200 rows.

Converts a numeric value between supported length, mass, volume, and temperature units, tailored for tutoring workflows.

Converts lines of text in 'term:definition' format into structured flashcards tailored for tutoring workflows.

Calculates descriptive statistics (mean, median, and mode) for a given list of numbers, tailored for tutoring workflows.

Computes adjacent row-to-row changes and IQR-based outlier flags for tutoring session data (session_minutes or session_count) across up to 200 records.

Computes adjacent row changes and two-measure correlation for tutoring session data (session_minutes, session_count) on up to 200 rows, returning two analytical reports.

Generates a base-100 indexed time series and fills missing values (zero, mean, or median) for tutoring session records (session_minutes or session_count) across up to 200 rows.

Computes category frequency counts and an equal-width histogram for tutoring session data (session_minutes or session_count) across up to 200 rows.

Analyzes tutoring session records to produce category frequency distributions and IQR-based outlier flags for up to 200 rows across two independent reports.

Analyzes tutoring session records to produce category frequency distributions and a row-keyed comparison between two supplied datasets (up to 200 rows each, two reports per call).

Analyzes tutoring session records to produce category frequency counts by course group and a numeric interval filter report for session_minutes or session_count fields.

Runs two local analytical reports on tutoring session data: category frequency distribution by course group and a trailing mean series for session_minutes or session_count.

Analyzes tutoring session records to produce category frequency counts for course groups and a Pearson/rank correlation between session_minutes and session_count.

Computes a daily sum time series and adjacent row changes for tutoring session metrics (session_minutes or session_count) from up to 200 supplied rows.

Computes a daily sum time series and an equal-width histogram for tutoring session data (session_minutes or session_count) across up to 200 rows.

Runs two local analytical reports on supplied tutoring session records: a duplicate key detection report and a base-100 indexed series for session_minutes or session_count.

Analyzes tutoring session records to produce a duplicate key report and category frequency breakdown for session_minutes and session_count fields across up to 200 rows.

Analyzes up to 200 tutoring session records to produce two reports: a duplicate key report and a daily sum time series for session_minutes or session_count.

Analyzes up to 200 tutoring session records to produce two reports: a duplicate key report and a date-by-category pivot for session_minutes or session_count.

Analyzes tutoring session records (up to 200 rows) to produce a duplicate key report and an equal-width histogram for session_minutes or session_count.

Analyzes uploaded tutoring session records to produce a duplicate key report and a grouped numeric summary for session_minutes or session_count fields, across up to 200 rows.

Analyzes up to 200 tutoring session records to produce two reports: a duplicate key report and a numeric distribution for session_minutes or session_count.

Analyzes supplied tutoring session records to produce a duplicate key report and a numeric row ordering report for session_minutes or session_count fields.

Analyzes uploaded tutoring session records to produce a duplicate key report and a trailing mean series for session_minutes or session_count fields.

Computes an equal-width histogram and a secondary-measure weighted mean on up to 200 tutoring session records (session_minutes, session_count) and returns two analytical reports.

Deduplicates exact duplicate rows and computes category-level frequency counts from tutoring session records (session_minutes, session_count) for up to 200 rows.

Deduplicates exact rows and generates an equal-width histogram for tutoring session data (session_minutes or session_count) across up to 200 records.

Deduplicates exact rows and flags IQR-based outliers in tutoring session records (session_minutes or session_count) for up to 200 rows, returning two analytical reports.

Computes a grouped numeric summary and a Base-100 indexed series for up to 200 tutoring session records (session_minutes or session_count), using local analytical engines with no external lookups.

Analyzes tutoring session records by computing a grouped numeric summary and an equal-width histogram for session_minutes or session_count, grouped by course group.

Computes grouped numeric summary statistics and fills missing values for tutoring session records (session_minutes, session_count) across up to 200 rows.

Computes a grouped numeric summary and a session_count-weighted mean for tutoring session records (session_minutes, session_count) grouped by course_group, returning two analytical reports for up to 200 rows.

Computes a grouped numeric summary and a two-measure correlation report for tutoring session data (session_minutes and session_count) across up to 200 supplied rows.

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

Detects IQR-based outliers and fills missing values in tutoring session data (session_minutes, session_count) for up to 200 rows, returning two analytical reports.

Runs two statistical reports on tutoring session data: IQR-based outlier detection and a secondary-measure weighted mean, for up to 200 rows of session records.

Generates two local analytical reports — a numeric distribution and a date-by-category pivot — for supplied tutoring session records (session_minutes or session_count).

Computes numeric distribution statistics and an equal-width histogram for tutoring session data (session_minutes or session_count) across up to 200 rows.