All Services

Computes adjacent row changes and a secondary-measure weighted mean for document redaction review records (flagged_spans, reviewed_spans) across up to 200 rows in two analytical reports.

Computes a Base-100 index series and a two-measure correlation report for document redaction review records (flagged_spans vs reviewed_spans) across up to 200 rows.

Deduplicates and numerically orders document redaction review records (flagged_spans, reviewed_spans) for up to 200 rows, returning 2 analytical reports.

Generates two analytical reports — a grouped numeric summary and a base-100 indexed series — from supplied document redaction review data (flagged_spans, reviewed_spans), grouped by document_group.

Computes numeric distribution statistics and a secondary-measure weighted mean for document redaction review records (flagged_spans, reviewed_spans) across up to 200 rows, returning two analytical reports.

Computes numeric distribution statistics and a trailing mean time series for document redaction review records (flagged_spans and reviewed_spans) across up to 200 rows.

Computes numeric row ordering and daily sum series reports for document redaction review data (flagged_spans, reviewed_spans) across up to 200 rows.

Runs three analytical reports (record quality audit, string normalisation, and numeric distribution) on up to 200 document redaction review records containing flagged and reviewed span counts.

Runs three analytical reports (record quality audit, string normalisation, and secondary-measure weighted mean) on document redaction review data containing flagged and reviewed span counts.

Performs string normalisation and adjacent row change analysis on document redaction review records (flagged_spans and reviewed_spans) for up to 200 rows, returning 2 analytical reports.

Runs two local analytical reports (string normalisation and daily sum series) on up to 200 document redaction review records containing flagged_spans and reviewed_spans fields.

Computes a two-measure correlation and keyed dataset comparison across two sets of document redaction review records (flagged_spans vs reviewed_spans) for up to 200 rows.

Deduplicates up to 200 document retrieval records and computes a correlation analysis between retrieved_bytes and request_ms, returning two independent analytical reports.

Analyzes document retrieval records by sorting rows numerically and producing equal-width histogram distributions for retrieved_bytes or request_ms fields, returning two analytical reports for up to 200 rows.

Audits quality, normalises strings, and computes correlation between retrieved_bytes and request_ms for up to 200 document retrieval records, returning three analytical reports.

Normalises strings and computes correlation between retrieved_bytes and request_ms metrics across up to 200 document retrieval records, returning two analytical reports.

Analyzes document section coverage records by computing adjacent row changes and two-measure correlation across present_sections and required_sections fields (up to 200 rows, 2 reports).

Analyzes document section coverage records to produce a duplicate key report and a keyed dataset comparison between two supplied datasets (up to 200 rows each).

Analyzes document section coverage records to produce a duplicate key report and a numeric interval filter report for present_sections or required_sections values, up to 200 rows.

Analyzes document section coverage records by applying a numeric interval filter and comparing two keyed datasets, returning up to 2 analytical reports for up to 200 rows.

Computes numeric row ordering and daily sum series for document section coverage data (present_sections, required_sections) across up to 200 rows, returning two analytical reports.

Runs two local analytical reports on document section coverage data: a record quality audit and a date-by-category pivot, for up to 200 rows.

Runs three analytical reports on document section coverage records: a record quality audit, exact row deduplication, and numeric row ordering — all processed locally without external lookups.

Runs a record quality audit and a secondary-measure weighted mean analysis on document section coverage data (present_sections, required_sections) for up to 200 rows.

Runs three local analytical reports (record quality audit, string normalisation, and two-measure correlation) on up to 200 document section coverage records containing present_sections and required_sections fields.

Normalises strings and deduplicates rows in document section coverage records, producing two analytical reports on present vs. required section counts for up to 200 rows.

Normalises string fields and applies numeric row ordering to document section coverage records (present_sections, required_sections) across up to 200 rows, returning two analytical reports.

Computes string normalisation and trailing mean time series for document section coverage data (present_sections, required_sections) across up to 200 rows, returning two analytical reports.

Runs three local analytical reports (record quality audit, string normalisation, and numeric row ordering) on document version comparison data containing changed_paragraphs and total_paragraphs fields for up to 200 rows.

Runs two local analytical reports on document version comparison data: string normalisation and a daily sum time series, for up to 200 rows of changed/total paragraph counts.

Normalises string fields in document workflow records (department names, row IDs, dates) across up to 200 typed rows with local data-quality processing.

Checks continuity/health of the draconic21 Daily Agent Signal feed, confirming the signal pipeline is live and returning a branded status acknowledgment.

Retrieves historical daily agent signal data for up to 30 days, priced at $0.10 USDC per call via x402 micropayment

Retrieves raw data stored on the Arweave permaweb for a specific transaction ID via the AR.IO gateway at permagate.io

Returns a breakdown of Crossref publication samples related to dynamic pricing models, including DOI references and source attribution.

Extracts text content from a given input source using a pay-per-call x402 micropayment on Base USDC

Encodes a payload or request for use with the x402 payment protocol on Base USDC

Verifies a Base USDC payment receipt, confirming a transaction was processed on-chain before unlocking paid service access.

Registers or initializes a payment session via the x402 protocol on the Base blockchain through Ease Pay

Compares two sets of parsed ecology observation record projections for semantic parity, preserving field pins and scope while ignoring record order.

Sorts a list of text lines into alphabetical order, optimized for ecommerce workflows.

Groups and compares organization, record, and revision identities across sources, jurisdictions, record kinds, and content to detect duplicate record identities in a supplied dataset.

Computes a base-100 indexed time series and Pearson correlation between comment_count and resolved_comments for up to 200 editorial review records

Deduplicates editorial review rows exactly and orders them numerically by comment_count or resolved_comments, returning 2 analytical reports for up to 200 rows.

Filters editorial review rows by a numeric interval and computes daily sum time series for comment_count or resolved_comments fields across up to 200 supplied records.

Sorts editorial review records by numeric value and computes a trailing moving average over comment_count or resolved_comments for up to 200 rows, returning two bundled analytical reports.

Audits editorial review records (comment_count, resolved_comments) for data quality issues and compares two keyed datasets side-by-side, returning two independent analytical reports for up to 200 rows.

Computes adjacent row changes and two-measure correlation for editorial turnaround data (draft_hours, review_hours) supplied by the caller, returning two analytical reports for up to 200 rows.

Runs three analytical reports on editorial turnaround data (draft_hours, review_hours): a record quality audit, string normalisation, and an equal-width histogram — all locally, with no external calls.

Analyzes editorial turnaround records (draft_hours, review_hours) to produce string normalization and adjacent row change reports for up to 200 rows.

Normalises string fields and orders rows numerically for editorial turnaround records containing draft_hours and review_hours data, producing two analytical reports for up to 200 rows.

Computes adjacent-row delta changes and a sample-weight-based weighted mean for up to 200 elevation measurement records, returning both analytics in a single call.

Computes a base-100 indexed series and a sample-weight-based weighted mean for up to 200 elevation sample records, returning two analytical reports from local engines.

Computes a Base-100 indexed time series and a two-measure Pearson/rank correlation report for user-supplied elevation sample records (elevation_m, sample_weight) — no external data fetched.

Computes category frequency distributions and fills missing values (zero/mean/median) for supplied elevation sample records with weights.

Computes category frequencies and a sample-weight-based weighted mean for up to 200 elevation sample records, returning two analytical reports.

Analyzes up to 200 elevation sample records to produce a duplicate key report and category frequency summary using local analytical engines.

Analyzes up to 200 elevation sample records to produce two reports: a duplicate key report and a trailing mean series for the specified numeric field.

Deduplicates elevation sample records and produces grouped numeric summaries for up to 200 rows of elevation and sample-weight data.

Deduplicates elevation sample records and filters them by a numeric interval on elevation_m or sample_weight, returning two analytical reports for up to 200 rows.

Performs exact row deduplication and numeric ordering on supplied elevation sample records (elevation_m, sample_weight) and returns two analytical reports for up to 200 rows.

Deduplicates elevation sample rows exactly and computes a secondary-measure weighted mean across up to 200 supplied elevation/sample-weight records, returning two analytical reports.

Runs two analytical reports on supplied elevation sample data: a grouped numeric summary by station group and an adjacent row change detection report.

Computes a numeric distribution report and a numeric interval filter report for up to 200 supplied elevation sample records (elevation_m, sample_weight).

Computes numeric distribution statistics and row ordering analysis for up to 200 elevation sample records containing elevation_m and sample_weight fields.

Filters elevation sample rows by a numeric interval on a chosen field and computes adjacent row changes, returning two analytical reports for up to 200 supplied rows.

Runs two offline analytical reports on supplied elevation sample records: a numeric interval filter (isolating rows within a value range) and a daily sum series aggregation, for up to 200 rows.

Filters elevation sample rows by a numeric interval on a chosen field and computes a two-measure correlation between elevation_m and sample_weight for up to 200 supplied rows.

Applies numeric row ordering and explicit missing-value fill (zero, mean, or median) to a supplied batch of elevation sample records containing elevation_m and sample_weight fields.

Sorts elevation sample records by a numeric field and filters them to a specified numeric interval, returning two analytical reports on up to 200 rows of elevation and sample weight data.

Performs numeric row ordering and two-measure correlation analysis on supplied elevation sample records (elevation_m and sample_weight) for up to 200 rows, returning two analytical reports.

Runs three local analytical reports on supplied elevation sample records: a record quality audit, exact row deduplication, and a duplicate key report — all without any external lookups.

Runs three local analytical reports on elevation sample data: a record quality audit, exact row deduplication, and a trailing mean series computation.

Audits data quality and performs numeric row ordering on supplied elevation sample records (elevation_m, sample_weight) for up to 200 rows, returning two independent analytical reports.

Runs three local analytical reports (record quality audit, string normalisation, and adjacent row changes) on up to 200 elevation sample records containing elevation_m and sample_weight fields.

Runs three local analytical reports on elevation sample records: a record quality audit, string normalisation, and grouped numeric summary for up to 200 rows.

Normalises string fields and computes a sample-weight-based weighted mean for elevation measurement records, returning two analytical reports for up to 200 rows.

Computes a trailing moving average series and fills missing values in elevation sample data (elevation_m, sample_weight) for up to 200 rows, returning two analytical reports.

Runs two statistical reports (Pearson/Spearman correlation between elevation_m and sample_weight, plus a keyed row-by-row dataset comparison) on up to 200 supplied elevation sample records, entirely offline with no external lookups.

Analyzes a supplied dataset of employment observations to produce a duplicate key report and an adjacent row changes report for employed_count or labour_force_count.

Analyzes supplied encryption inventory rows to produce a duplicate key report and a secondary-measure weighted mean, using local analytical engines on up to 200 rows.

Sorts and filters encryption inventory records (eligible_devices, encrypted_devices) by numeric value range, returning up to 2 analytical reports for up to 200 rows.

Computes adjacent row changes and reporting_agents-weighted mean for endpoint telemetry records (agent_count, reporting_agents) across up to 200 rows.

Computes a base-100 indexed time series and a reporting_agents-weighted mean for supplied endpoint telemetry rows (agent_count, reporting_agents), returning two analytical reports for up to 200 rows.

Deduplicates endpoint telemetry rows exactly and fills missing agent_count or reporting_agents values using zero, mean, or median imputation for up to 200 rows.

Computes numeric row ordering and Base-100 indexed series for supplied endpoint telemetry records (agent_count, reporting_agents) across up to 200 rows.

Computes numeric row ordering and daily sum series for up to 200 rows of endpoint telemetry data (agent_count, reporting_agents) using local analytical engines.

Sorts endpoint telemetry rows numerically and compares two keyed datasets (agent_count, reporting_agents) across up to 200 records using local analytical engines.

Ranks telemetry rows numerically by agent_count and computes a reporting_agents-weighted mean for endpoint telemetry datasets of up to 200 rows.

Runs two local analytical reports on endpoint telemetry data: a record quality audit and an adjacent row changes analysis for agent_count or reporting_agents fields, across up to 200 rows.

Audits data quality and deduplicates rows in endpoint telemetry records containing agent_count and reporting_agents fields, returning two independent analytical reports.

Runs three analytical reports on endpoint telemetry rows: record quality audit, exact row deduplication, and category frequency counts for agent_count and reporting_agents fields.

Audits data quality and fills missing values (via zero, mean, or median) in endpoint telemetry records containing agent_count and reporting_agents fields, returning two independent reports for up to 200 rows.

Audits data quality and normalises strings in endpoint telemetry rows containing agent counts and reporting agent metrics, returning two analytical reports for up to 200 rows.

Runs three local analytical reports on endpoint telemetry rows: a data quality audit, string normalisation, and a daily sum time series for agent_count or reporting_agents fields.

Audits quality, normalises strings, and deduplicates exact rows in endpoint telemetry records containing agent_count and reporting_agents fields — up to 200 rows, three reports per call.

Runs three local analytical reports on endpoint telemetry rows: a data quality audit, string normalisation, and a grouped numeric summary for agent_count or reporting_agents fields.

Audits record quality, normalises strings, and filters by numeric interval for endpoint telemetry rows containing agent_count and reporting_agents fields.

Runs three analytical reports (record quality audit, string normalisation, and trailing mean series) on supplied endpoint telemetry rows with agent_count and reporting_agents fields.

Audits data quality and computes correlation between agent_count and reporting_agents for up to 200 rows of endpoint telemetry data.