All Services

Runs two analytical reports on knowledge base maintenance data: a duplicate key report and a secondary-measure weighted mean, over up to 200 rows of updated_articles and due_articles records.

Deduplicates rows and generates equal-width histogram reports for knowledge base maintenance metrics (updated_articles, due_articles) from up to 200 supplied records.

Deduplicates rows and produces a numeric distribution report for knowledge base maintenance records (updated_articles, due_articles) across up to 200 rows.

Computes numeric distribution statistics and a daily sum time series for knowledge base maintenance metrics (updated_articles, due_articles) across up to 200 rows, returning two independent analytical reports.

Analyzes knowledge base maintenance records by generating a numeric distribution report and a two-measure correlation report for updated_articles and due_articles fields across up to 200 rows.

Filters knowledge base maintenance records by a numeric interval and computes the correlation between updated_articles and due_articles across up to 200 rows, returning two analytical reports.

Sorts and filters knowledge base maintenance records (updated_articles, due_articles) by numeric value and interval, returning up to 2 analytical reports for up to 200 rows.

Runs three independent analytical reports (record quality audit, exact row deduplication, and numeric row ordering) on up to 200 knowledge base maintenance records containing updated_articles and due_articles fields.

Runs two analytical reports on knowledge base maintenance data: a record quality audit and a numeric interval filter for updated_articles or due_articles values.

Runs two analytical reports on knowledge base maintenance records: a data quality audit and a numeric row ordering report for up to 200 rows of updated_articles and due_articles data.

Runs three local analytical reports (record quality audit, string normalisation, and daily sum series) on up to 200 rows of knowledge base maintenance data (updated_articles, due_articles) for $0.01 USDC.

Computes Pearson/rank correlation between updated_articles and due_articles, plus a weighted mean of the secondary measure, across up to 200 knowledge base maintenance records.

Computes confidence calibration bins for a naive-Bayes knowledge-topic classifier across up to 200 labelled text records with actual labels, predicted labels, and class probabilities.

Computes a confusion matrix for knowledge-topic text classification (setup/usage/troubleshooting/reference) from up to 200 labelled records with actual and predicted labels.

Splits a labelled knowledge-topic text dataset into grouped train/test partitions, preserving class balance across setup, usage, troubleshooting, and reference categories.

Computes prediction error diagnostics for a naive-Bayes knowledge-topic text classifier across up to 200 labelled records with actual vs. predicted category comparisons.

Detects text overlap between training and evaluation sets for knowledge topic classification (setup/usage/troubleshooting/reference) using a naive-Bayes baseline, returning leakage metrics.

Scrapes TikTok profile, video, or content data and returns structured results via pay-per-call API

Provides live cricket scores, match data, and cricket statistics via the Cricbuzz data source

Provides access to Twitter/X API functionality (both v1.1 and v2) via pay-per-call pricing on Base chain using the x402 protocol

Scrapes LinkedIn profile, company, or post data and returns structured results via pay-per-call x402 micropayment on Base chain

Enriches B2B lead data by looking up and returning LinkedIn profile and company information for sales and marketing intelligence

Searches and retrieves job listings from Workday-powered career portals

Retrieves market data and information from Indian stock exchanges (BSE/NSE) via a pay-per-call API

Scrapes social media profile data and metadata from a given website URL

Fetches real-time news data and current events via a pay-per-call API on the Base blockchain using x402 protocol

Retrieves current weather data or forecasts for a specified location via a pay-per-call x402 endpoint

Fetches YouTube video data and metadata via a pay-per-call endpoint on the x402 protocol

Detects whether a piece of content was generated by AI (particularly GPT models) versus written by a human

Fetches Yahoo Finance market data and financial information via a pay-per-call API on the Base blockchain

Provides weather data and forecasts via the Weatherbit API, accessed through Komo.ai's pay-per-call x402 marketplace on Base chain

Scrapes public data from Facebook Pages and returns structured page information

Scrapes and retrieves data from Instagram profiles, posts, or other public content via a fast and reliable API endpoint

Provides historical and climate weather data via the Meteostat data source, accessible through pay-per-call x402 micropayments on Base chain

Sets up and activates a single paid API route using the x402 payment protocol, enabling monetization of one endpoint per plan purchase.

Returns the current operational status of the Kristo Intelligence trading/signal bot

Computes adjacent row changes and a base-100 index series for label review records (reviewed_records and changed_labels) across up to 200 rows.

Analyzes label review time-series data to detect adjacent row-to-row changes and flag IQR-based outliers across reviewed_records or changed_labels fields, returning two independent analytical reports.

Computes adjacent row changes and secondary-measure weighted mean reports for up to 200 label review records in a single paid call.

Computes adjacent row change analysis and two-measure correlation for label review data (reviewed_records and changed_labels) on up to 200 supplied rows.

Generates two analytical reports from label review data: a Base-100 indexed time series and a date-by-category pivot table, for up to 200 rows of reviewed_records or changed_labels data.

Generates two analytical reports — a base-100 indexed time series and an equal-width histogram — from user-supplied label review records (reviewed_records, changed_labels) for up to 200 rows.

Runs two analytical reports on label review data: a Base-100 indexed time series and a keyed dataset comparison, for up to 200 rows of reviewed_records or changed_labels metrics.

Computes a base-100 index series and a secondary-measure weighted mean from supplied label review records (reviewed_records, changed_labels) for up to 200 rows.

Computes a Base-100 index series and a two-measure Pearson/correlation report for label review data (reviewed_records and changed_labels) across up to 200 rows, using local analytical engines with no external lookups.

Computes category frequency distribution and adjacent-row delta analysis for label review records (reviewed_records or changed_labels) across up to 200 rows, returning two independent analytical reports.

Computes category frequency counts and a date-by-category pivot table for label review records (reviewed_records, changed_labels) on up to 200 supplied rows — two independent analytical reports in one call.

Computes category frequency distributions and fills missing values (zero/mean/median) for label review records containing reviewed_records and changed_labels fields, returning two analytical reports for up to 200 rows.

Analyzes label review records to produce two reports: category frequency breakdowns and a keyed comparison between two datasets, using local analytical engines on up to 200 rows.

Computes category frequency distributions and numeric row ordering for up to 200 label review records, returning two independent analytical reports in a single call.

Computes category frequencies and a secondary-measure weighted mean for up to 200 label review records in a single $0.01 call, returning two local analytical reports.

Generates two analytical reports for label review data: category frequency distributions and trailing mean series for reviewed_records or changed_labels metrics.

Computes a daily sum time series and adjacent row change analysis for label review data (reviewed_records and changed_labels) over up to 200 rows.

Generates two analytical reports from label review data: a daily sum time series and a date-by-category pivot table, for up to 200 rows of reviewed_records or changed_labels data.

Generates two analytical reports from label review data: a daily sum time series and a keyed dataset comparison across reviewed_records and changed_labels fields, for up to 200 rows.

Computes a daily sum time series and a Pearson/correlation analysis between reviewed_records and changed_labels for up to 200 label review rows, returning two independent statistical reports.

Generates two analytical reports on label review data: a date-by-category pivot table and a keyed dataset comparison, for up to 200 rows at $0.01 USDC.

Analyzes label review records to produce a duplicate key report and fills missing values in a specified numeric field using zero, mean, or median imputation.

Runs two analytical reports on label review data: a duplicate key detection report and a numeric row ordering report, for up to 200 rows of reviewed_records or changed_labels data.

Runs two analytical reports on label review data: a duplicate key detection report and a secondary-measure weighted mean, for up to 200 rows of reviewed_records and changed_labels data.

Runs two analytical reports on label review data: a duplicate key report and a trailing mean series, for up to 200 rows of reviewed_records or changed_labels data.

Generates two analytical reports for label review records — an equal-width histogram and an explicit missing-value fill — for up to 200 rows of reviewed_records or changed_labels data.

Generates an equal-width histogram and IQR-based outlier flags for label review records (reviewed_records and changed_labels fields), producing 2 independent analytical reports from supplied data up to 200 rows.

Runs an equal-width histogram on a chosen field and a two-measure correlation (reviewed_records vs changed_labels) over up to 200 label review rows, returning two independent analytical reports.

Performs exact row deduplication and Base-100 series indexing on label review records (reviewed_records and changed_labels fields) for up to 200 rows, returning two analytical reports.

Deduplicates label review records by exact row matching and generates an equal-width histogram for a chosen numeric field (reviewed_records or changed_labels) across up to 200 rows.

Deduplicates exact duplicate rows and fills missing values in label review records (reviewed_records and changed_labels) using zero, mean, or median imputation, returning two analytical reports for up to 200 rows.

Deduplicates label review records exactly by row and produces grouped numeric summaries for reviewed_records or changed_labels fields, returning two independent analytical reports for up to 200 rows.

Deduplicates label review records by exact row matching and compares two keyed datasets to surface differences across reviewed_records and changed_labels fields.

Computes a grouped numeric summary and category frequency report for label review records (reviewed_records and changed_labels) across up to 200 rows.

Computes a grouped numeric summary and a daily sum time series for label review data (reviewed_records, changed_labels) supplied by the caller — up to 200 rows, two reports per call.

Generates two analytical reports from label review data: a grouped numeric summary and a date-by-category pivot, processing up to 200 rows of reviewed_records and changed_labels data.

Computes a grouped numeric summary and a keyed dataset comparison for label review records (reviewed_records and changed_labels) across up to 200 rows.

Produces two analytical reports from label review records: a grouped numeric summary (by dataset_group) and a numeric row ordering, for up to 200 supplied rows.

Computes grouped numeric summary statistics and a secondary-measure weighted mean for label review records (reviewed_records, changed_labels) across dataset groups, returning two analytical reports for up to 200 rows.

Runs two local analytical reports on label review data: IQR-based outlier detection on a chosen field and a secondary-measure weighted mean, for up to 200 rows.

Compares two keyed label-review datasets and fills missing values, producing two analytical reports covering reviewed records and changed labels across dataset groups.

Runs two local analytical reports on label review data — numeric distribution and adjacent row changes — for up to 200 rows of reviewed_records or changed_labels metrics.

Computes a numeric distribution report and an equal-width histogram for label review data (reviewed_records or changed_labels) across up to 200 rows using local analytical engines.

Computes numeric distribution statistics and fills missing values (zero, mean, or median) for label review records containing reviewed_records and changed_labels fields, returning two analytical reports for up to 200 rows.

Computes a numeric distribution report and a grouped numeric summary for label review data (reviewed_records or changed_labels) across up to 200 rows, using local analytical engines with no external lookups.

Computes a numeric distribution and a numeric interval filter for label review records (reviewed_records, changed_labels) across up to 200 rows, returning 2 analytical reports.

Computes numeric distribution statistics and row ordering reports for label review records (reviewed_records and changed_labels fields) across up to 200 rows.

Computes numeric distribution statistics and a secondary-measure weighted mean for label review records (reviewed_records, changed_labels) across up to 200 rows.

Computes numeric distribution statistics and two-measure correlation analysis for label review records (reviewed_records and changed_labels) across up to 200 rows.

Runs two analytical reports on label review data: filters rows by a numeric interval on a chosen field, and pivots dates by dataset category for reviewed_records or changed_labels.

Filters label review records to a numeric interval and fills missing values using zero, mean, or median imputation, returning two analytical reports for up to 200 rows.

Runs two analytical reports on label review data: a numeric interval filter on reviewed_records or changed_labels, and a keyed comparison between two supplied datasets, for up to 200 rows.

Runs two analytics reports on label review data: filters rows by a numeric interval and computes a trailing mean series, for up to 200 rows.

Generates two analytical reports — numeric row ordering and a base-100 index series — for label review records containing reviewed_records and changed_labels metrics.

Computes numeric row ordering and daily sum time series for label review data (reviewed_records, changed_labels) from up to 200 supplied rows, returning two analytical reports.

Generates two analytical reports for label review data: numeric row ordering and a date-by-category pivot, for up to 200 rows of reviewed_records and changed_labels data.

Generates two analytical reports — numeric row ordering and an equal-width histogram — for label review data (reviewed_records and changed_labels) across up to 200 rows.

Computes numeric row ordering and trailing mean series for label review records (reviewed_records and changed_labels) across up to 200 rows.

Runs two analytical reports on label review data — numeric row ordering and correlation between reviewed_records and changed_labels — for up to 200 supplied rows.

Runs two analytical reports on label review data: a record quality audit and a Base-100 index series for reviewed_records or changed_labels across up to 200 rows.

Runs two local analytical reports on label review data: a record quality audit and a daily sum time series, for up to 200 rows at $0.01 USDC.

Runs two local analytical reports on label review data: a record quality audit and a date-by-category pivot, for up to 200 rows of reviewed_records and changed_labels data.

Runs two independent analytical reports on label review data: a record quality audit and a duplicate key report, for up to 200 rows of reviewed_records and changed_labels data.

Runs two analytical reports on label review data: a record quality audit and exact row deduplication, for up to 200 rows of reviewed_records and changed_labels data.