All Services

Runs two local analytical reports on supplied rainfall observation records: string normalisation on categorical fields and numeric distribution analysis on rainfall_mm or duration_hours.

Normalises string fields and computes a secondary-measure weighted mean across supplied rainfall observation records (rainfall_mm, duration_hours) for up to 200 rows.

Checks one-to-one aliases (identifier crosswalks) across typed pins for reaction records, reporting mapping consistency without establishing ownership or authenticity.

Runs two local analytical reports — a record quality audit and a numeric distribution analysis — on up to 200 reading activity rows (pages_read or reading_minutes).

Normalises string fields and applies numeric row ordering to supplied reading activity records (pages_read, reading_minutes) across up to 200 rows, producing 2 analytical reports.

Performs string normalisation and secondary-measure weighted mean analysis on reading activity records (pages_read, reading_minutes) for up to 200 rows, returning two independent analytical reports.

Validates reading-plan unit references against declared edition and section manifests to detect integrity issues in offline typed metadata.

Validates that declared owner, subject, revision, and allowed scope labels in reading plan records match exactly, reporting any scope boundary violations without granting permissions.

Validates timestamp ordering of publication, amendment, and availability window instants against a single assessment instant for a reading plan record.

Filters record routing rows by a numeric interval on a chosen field and computes a two-measure correlation between accepted_records and rejected_records, returning two analytical reports for up to 200 rows.

Computes numeric row ordering and secondary-measure weighted mean for up to 200 rows of record routing data (accepted_records, rejected_records) across two independent analytical reports.

Runs three local analytical reports on record routing data — a quality audit, exact row deduplication, and numeric row ordering — for up to 200 rows of accepted/rejected record counts.

Computes a secondary-measure weighted mean and fills missing values explicitly for up to 200 record routing rows (accepted_records, rejected_records), returning 2 analytical reports.

Compares recovery manifests against an exact caller-declared scope (purchase, network, input, deadline) to verify boundary alignment, without performing authentication or granting recovery permissions.

Runs two local analytical reports on recovery objectives data: a duplicate key report and a date-by-category pivot, for up to 200 rows of target_minutes and observed_minutes data.

Deduplicates recovery objective rows exactly and filters by a numeric interval on target_minutes or observed_minutes, returning two analytical reports for up to 200 rows.

Runs two local analytical reports—record quality audit and daily sum series—on up to 200 rows of recovery objectives data (target_minutes, observed_minutes).

Normalises string fields and computes a Base-100 index series for recovery objective records containing target_minutes and observed_minutes values.

Sorts a newline-delimited block of text alphabetically, optimized for recruiting workflows such as ordering candidate lists, skill sets, or job requirements.

Computes adjacent-row delta changes and a secondary-measure weighted mean for up to 200 redirect observation records containing redirect_count and final_status_code fields.

Analyzes redirect observation records to produce category frequency counts and numeric row ordering reports for redirect_count and final_status_code fields.

Filters redirect observation rows by a numeric interval on a chosen field and computes a secondary-measure weighted mean, returning two analytical reports for up to 200 supplied rows.

Runs two local analytical reports on redirect observation records: a record quality audit and an equal-width histogram for either redirect_count or final_status_code fields.

Runs a data quality audit and grouped numeric summary on up to 200 rows of redirect observation records (redirect_count, final_status_code).

Runs two local analytical reports on supplied redirect observation rows: a record quality audit and a numeric interval filter on redirect_count or final_status_code fields.

Audits data quality and normalises strings for up to 200 redirect observation records containing redirect_count and final_status_code fields, returning 2 analytical reports.

Runs three local analytical reports (record quality audit, string normalisation, and equal-width histogram) on up to 200 rows of redirect observation data containing redirect_count and final_status_code fields.

Audits record quality, normalises strings, and computes a weighted mean for secondary measures across up to 200 redirect observation rows (redirect_count, final_status_code).

Normalises string fields and applies numeric row ordering to up to 200 redirect observation records (redirect_count, final_status_code), producing two independent analytical reports.

Search the reefjaco x402-powered shop on Base USDC by keyword query

Fetches the content of a given HTTPS URL, paid per-call with Base USDC via x402 micropayment protocol

Normalises company-group strings and orders rows numerically for registry snapshot records (registered_entities, changed_entities) across up to 200 rows with two independent reports.

Computes adjacent row changes and secondary-measure weighted mean analytics on release note coverage data (documented_changes, released_changes) for up to 200 rows, returning 2 independent statistical reports.

Performs exact row deduplication and adjacent row change analysis on release note coverage records (documented_changes, released_changes) for up to 200 rows, returning 2 independent analytical reports.

Deduplicates release note coverage rows and computes numeric distribution statistics for documented_changes and released_changes fields across up to 200 supplied records.

Computes numeric row ordering and a Base-100 index series for release note coverage data (documented_changes, released_changes) on up to 200 supplied rows.

Runs string normalisation and equal-width histogram analysis on release note coverage records (documented_changes and released_changes fields) for up to 200 rows, returning two independent analytical reports.

Audits quality of release readiness check records (checks_passed, checks_total) and produces numeric row ordering — two independent analytical reports on up to 200 supplied rows.

Runs three local analytical reports (record quality audit, string normalisation, and daily sum series) on up to 200 release readiness records containing checks_passed and checks_total fields.

Performs string normalisation and secondary-measure weighted mean calculations on release readiness records containing checks_passed and checks_total fields, producing two independent analytical reports for up to 200 rows.

Analyzes render farm usage records to produce category frequency counts by asset group and numeric row ordering for node_hours or job_count fields, returning two analytical reports per call.

Normalises string fields and sorts rows by numeric value for up to 200 render farm usage records (node_hours, job_count), returning two analytical reports per call.

Analyzes render job records (render_seconds, sample_count) to produce adjacent row change reports and fill missing values using zero, mean, or median imputation — up to 200 rows, 2 reports per call.

Performs a record quality audit and numeric row ordering on up to 200 render job records (render_seconds, sample_count), returning two independent analytical reports.

Normalises string fields and fills missing values (via zero, mean, or median) in render job records containing render_seconds and sample_count, returning two analytical reports for up to 200 rows.

Analyzes up to 200 replenishment timing records to produce a duplicate key report and a numeric interval filter on lead_days or received_units fields.

Deduplicates replenishment timing records exactly by row and computes a weighted mean for a secondary measure (lead_days or received_units) across up to 200 rows, producing two analytical reports.

Applies a numeric interval filter and a date-by-category pivot analysis to supplied replenishment timing records (lead_days, received_units) for up to 200 rows.

Sorts replenishment timing records (lead_days, received_units) by row number and fills missing values using zero, mean, or median imputation — up to 200 rows, 2 reports per call.

Applies numeric row ordering and numeric interval filtering to supplied replenishment timing records (lead_days, received_units) and returns two analytical reports for up to 200 rows.

Runs two analytical reports on supplied replenishment timing data: string normalisation of text fields and a base-100 indexed series for either lead_days or received_units.

Runs two local analytical reports on replenishment timing data: string normalisation of store/group fields and a daily sum series for lead_days or received_units, across up to 200 rows.

Runs two local analytical reports on replenishment timing records: string normalisation and a date-by-category pivot, for up to 200 rows of lead_days or received_units data.

Runs string normalisation and duplicate key detection on up to 200 replenishment timing records (lead_days, received_units) and returns two independent analytical reports.

Normalises strings and removes exact duplicate rows from replenishment timing records containing lead_days and received_units fields, producing two analytical reports for up to 200 rows.

Deduplicates exact rows and filters by numeric interval in supplied request latency records (latency_ms, request_count), returning 2 analytical reports for up to 200 rows.

Deduplicates exact rows and applies numeric ordering to supplied request latency records (latency_ms, request_count), returning two analytical reports for up to 200 rows.

Audits record quality, normalises string fields, and orders rows numerically for up to 200 request latency records (latency_ms, request_count) in three bundled reports.

Normalises strings and deduplicates exact rows in request latency records (latency_ms, request_count), returning 2 analytical reports for up to 200 rows.

Accepts a USDC deposit to a specified wallet address via the x402 payment protocol on the Base network

Generates two local analytical reports — a duplicate key report and a numeric row ordering — for up to 200 supplied research sample records with sample_value and sample_weight fields.

Normalises string fields and sorts rows numerically for supplied research sample records (sample_value, sample_weight), returning two analytical reports for up to 200 rows.

Deduplicates and numerically orders up to 200 research task completion records (completed_tasks, assigned_tasks) and returns two independent analytical reports.

Sorts reservoir observation rows by stored_m3 or capacity_m3 and compares two supplied reservoir datasets by matching row keys, returning two analytical reports.

Sorts reservoir observation records by a numeric field and filters them to a specified numeric interval, returning up to 2 analytical reports for up to 200 supplied rows.

Normalises station group strings and filters reservoir observation rows by a numeric interval on stored_m3 or capacity_m3, returning two analytical reports for up to 200 supplied rows.

Normalises station/group strings and computes a capacity_m3-weighted mean of stored_m3 (or vice versa) across up to 200 reservoir observation rows.

Paid intake endpoint for the ResolveBots x402 launch seeding program, registering participation upon payment of $49 USDC

Estimates how many months of cash runway a retail business has given its current cash balance and monthly burn rate.

Analyzes up to 200 returns-handling rows to produce a duplicate key report and an adjacent row changes series for a chosen numeric field (returned_units or processing_minutes).

Generates two local analytical reports (duplicate key detection and numeric row ordering) for supplied retail returns handling data including returned units and processing minutes.

Deduplicates exact rows and computes a secondary-measure weighted mean for returns handling records (returned_units, processing_minutes) across up to 200 rows, producing 2 analytical reports.

Deduplicates exact rows and computes correlation between returned_units and processing_minutes across up to 200 returns handling records.

Computes numeric distribution statistics and adjacent row change analysis for returns handling records (returned_units, processing_minutes) across up to 200 rows.

Computes numeric distribution statistics and row ordering for up to 200 returns handling records across returned_units and processing_minutes fields.

Computes a numeric distribution and a secondary-measure weighted mean for up to 200 returns handling records (returned_units, processing_minutes) in two independent analytical reports.

Ranks returns-handling rows numerically and compares two keyed datasets of returned_units or processing_minutes data, delivering two analytical reports for up to 200 rows.

Audits data quality and applies numeric row ordering to up to 200 returns handling records (returned_units, processing_minutes), producing two independent analytical reports.

Computes a secondary-measure weighted mean and fills missing values for retail returns handling records (returned_units, processing_minutes) across up to 200 rows, producing 2 analytical reports.

Performs string normalisation and adjacent row change analysis on returns handling records (returned_units, processing_minutes) for up to 200 rows, producing 2 independent analytical reports.

Runs string normalisation and trailing mean series analytics on retail returns data (returned_units, processing_minutes) for up to 200 rows, producing two local reports per call.

Computes Pearson correlation between returned_units and processing_minutes, plus a weighted mean of the secondary measure, for up to 200 rows of returns handling data.

Checks whether a website's offer or promotional expiry signals are functioning correctly and returns a concrete repair action if issues are found.

Returns live weather conditions (temperature, wind speed) for a given city or coordinates, paid per-call via x402 USDC on Base.

Analyzes rig complexity records (bone_count, constraint_count) to compute adjacent row changes and fill missing values using zero, mean, or median methods — returning two analytical reports for up to 200 rows.

Analyzes rig complexity records (bone_count, constraint_count) to produce a duplicate key report and fill missing values using zero, mean, or median imputation — up to 200 rows, two reports per call.

Deduplicates rig complexity records and filters rows by a numeric interval on bone_count or constraint_count, returning two analytical reports for up to 200 rows.

Deduplicates and numerically orders rig complexity records (bone_count, constraint_count) for up to 200 rows, returning two analytical reports.

Computes numeric row ordering and trailing mean series for rig complexity data (bone_count, constraint_count) across up to 200 rows in two independent analytical reports.

Audits data quality and computes category frequency distributions for rig complexity records containing bone counts and constraint counts (up to 200 rows, 2 reports per call).

Audits data quality and removes exact duplicate rows from rig complexity records containing bone count and constraint count fields, producing two independent analytical reports for up to 200 rows.

Audits data quality, deduplicates exact rows, and orders rows numerically for supplied rig complexity records (bone_count and constraint_count fields).

Runs two local analytical reports on supplied rig complexity records (bone_count, constraint_count): a record quality audit and a keyed dataset comparison between two datasets of up to 200 rows each.

Runs three bundled analytical reports on rig complexity records (bone_count, constraint_count): record quality audit, string normalisation, and exact row deduplication — all processed locally without external lookups.

Runs three local analytical reports on rig complexity records (bone_count, constraint_count): a record quality audit, string normalisation, and a grouped numeric summary — no external lookups or predictions.

Runs three local analytical reports on rig complexity records (bone_count, constraint_count): record quality audit, string normalisation, and numeric interval filtering — for up to 200 rows.

Audits record quality, normalises strings, and orders rows numerically for rig complexity datasets containing bone_count and constraint_count fields (up to 200 rows, 3 reports per call).

Runs string normalisation and duplicate key detection on supplied rig complexity records (bone_count, constraint_count) for up to 200 rows, returning two independent analytical reports.

Normalises strings and fills missing values in rig complexity records (bone_count, constraint_count) for up to 200 rows, returning 2 analytical reports.

Normalises rig complexity strings and computes a secondary-measure weighted mean for up to 200 rows of bone_count and constraint_count data, producing two analytical reports per call.