All Services

Analyzes up to 200 rows of source/transformed numeric value pairs, producing two local analytical reports: string normalisation of numeric values and adjacent row change detection.

Normalises string representations and fills missing values in numeric precision comparison datasets (source_value vs transformed_value), producing two analytical reports for up to 200 rows.

Returns a structured rubric for evaluating whether a given task is a good fit for AI automation, helping route or classify work appropriately.

Ranks office supply records by issued_units or received_units and computes a base-100 index series for up to 200 rows, delivering two analytical reports per call.

Runs three local analytical reports on office supplies data: record quality audit, string normalisation, and base-100 index series for issued_units and received_units fields (up to 200 rows).

Normalizes string fields and computes Base-100 index series for office supplies records tracking issued and received units, producing two analytical reports for up to 200 rows.

Extracts or generates relevant keywords from a text query using AI, paid per call via x402 USDC micropayment.

Analyzes onboarding progress records by computing adjacent row changes and a two-measure correlation between completed_steps and required_steps, returning two analytical reports for up to 200 rows.

Computes numeric row ordering and secondary-measure weighted mean for onboarding progress records (completed_steps, required_steps) across up to 200 rows, delivering two analytical reports per call.

Runs two local analytical reports on onboarding progress data: a record quality audit and adjacent row change detection for completed_steps or required_steps fields, across up to 200 rows.

Runs three independent analytical reports on onboarding progress data: a record quality audit, exact row deduplication, and a duplicate key report — all locally, with no external lookups.

Audits record quality, deduplicates exact rows, and produces grouped numeric summaries for onboarding progress data (completed_steps, required_steps) in a single call.

Audits data quality, normalises strings, and detects adjacent row changes in onboarding progress records (completed_steps, required_steps) for up to 200 rows, returning 3 independent analytical reports.

Runs two local analytical reports on onboarding progress records: string normalisation of team/date fields and a grouped numeric summary of completed_steps or required_steps across up to 200 rows.

Normalises string fields and flags IQR-based outliers in onboarding progress records (completed_steps, required_steps) for up to 200 rows, producing 2 analytical reports.

Normalises onboarding progress strings and compares two keyed datasets of completed_steps and required_steps records, producing two analytical reports for up to 200 rows.

Submit a bug report or feedback about the OnchainExpat x402 API platform via a pay-per-request endpoint

Performs a tier-9 depth URL analysis, returning structured insights about a given web URL via a pay-per-call x402 API on Base.

Classifies or detects the type of a given JSON value, returning an array of type descriptors.

Cleans and normalizes input text at tier 6 processing level via a pay-per-call utility API.

Appends a specified suffix string to a given text string and returns the combined result.

Counts the number of characters in a given text string, returning token/character metrics for up to 50,000 characters of input.

Performs a comprehensive tier-4 URL analysis on a given URL, returning deep analytical results via a pay-per-call x402 API on Base.

Calculates trailing moving averages over a numeric series using a window parameter of 8, returning basic diagnostic output at Tier 1 of 10.

Retrieves current watch trends data from the OpenClaw customizations service

Creates or initializes a socket session for monitoring watch market trends in real time

Converts CSV data to JSON format via HTTP POST

Sorts a list of numbers or strings in ascending order, tailored for operations workflows.

Parses a web page or HTML snippet to find HTML option elements matching a given attribute/value and reports which have empty label text

Returns a revenue forecast for a specified domain within the x402 ecosystem, projecting future earnings based on marketplace analytics.

Transforms input text into a styled content snippet using a specified writing style

Returns financial data for a given stock or asset symbol via a pay-per-call POST endpoint

Retrieves trending data and trend signals for a specified topic and geographic region

Submits and stores user-provided review text for a specified hotel by hotel ID

Accepts a natural language prompt and returns an AI-generated search or answer response via Orbonomy's unified LLM endpoint

Runs two local analytical reports on order picking data: a record quality audit and a secondary-measure weighted mean, for up to 200 rows of picked_lines and picking_minutes data.

Checks a transaction (swap, approval, or memecoin buy) for risk before signing, returning a risk score, risk level, and any flags.

Deduplicates ownership record completeness rows and produces grouped numeric summaries for documented_links and required_links fields across up to 200 records.

Deduplicates and numerically orders ownership record completeness rows (documented_links, required_links) for up to 200 supplied records, producing 2 independent analytical reports.

Deduplicates ownership completeness records and computes trailing mean series for documented_links or required_links across up to 200 rows.

Deduplicates ownership record rows and computes correlation between documented_links and required_links across up to 200 supplied records, returning two independent analytical reports.

Analyzes ownership record completeness data by filtering rows within a numeric interval and pivoting dates by company category, producing two analytical reports from supplied data.

Audits ownership record completeness (documented_links vs required_links) with a record quality report and numeric row ordering for up to 200 rows.

Computes a secondary-measure weighted mean and performs a keyed dataset comparison on ownership record completeness data (documented_links vs required_links), returning two analytical reports for up to 200 rows.

Runs two local analytical reports on ownership record completeness data: string normalisation and daily sum series aggregation for documented_links and required_links fields.

Runs two local analytical reports on ownership record completeness data: string normalisation of documented_links/required_links fields and a date-by-category pivot, for up to 200 rows.

Computes string normalisation and trailing mean series analysis on ownership record completeness data (documented_links vs required_links) for up to 200 rows.

Computes the delta between two revisions of caller-supplied package release and file-inventory manifests, enumerating owner, subject, revision, content, and scope pin changes by stable record ID.

Computes numeric distribution statistics and numeric row ordering for packaging usage records (packages_sent, material_grams) across up to 200 rows, returning two analytical reports.

Computes numeric row ordering and adjacent row changes (delta analysis) for packaging usage records (packages_sent, material_grams) across up to 200 rows, returning 2 analytical reports.

Normalises strings and removes exact duplicate rows from packaging usage records (packages_sent, material_grams) for up to 200 rows, producing 2 analytical reports.

Search a food nutrition database by query term to retrieve nutritional data for matching foods

Deduplicates exact rows and fills missing values in page change observation records (changed_blocks, total_blocks) for up to 200 rows, producing 2 analytical reports.

Runs string normalisation and duplicate key detection on up to 200 page change observation records (changed_blocks, total_blocks) and returns two independent analytical reports.

Deduplicates page extraction coverage records and compares two keyed datasets of extracted vs. expected fields, producing two analytical reports for up to 200 rows.

Runs two local analytical reports on page extraction coverage data: a record quality audit and a date-by-category pivot, for up to 200 rows of extracted/expected field counts.

Computes a base-100 indexed time series and a two-measure correlation report for supplied page weight observation records (page_kb and resource_count).

Ranks page weight observation rows numerically and compares two keyed datasets across page_kb and resource_count fields, returning two analytical reports for up to 200 rows.

Runs three local analytical reports on page weight observation records: a record quality audit, string normalisation, and a date-by-category pivot for page_kb or resource_count fields.

Runs three local analytical reports on page weight observation records (page_kb, resource_count): a record quality audit, string normalisation, and keyed dataset comparison between two supplied datasets — up to 200 rows each, no external lookups.

Deduplicates exact duplicate rows and sorts rows numerically by a chosen field (qualified_partners or active_partners) from supplied partnership pipeline data, returning two analytical reports for up to 200 rows.

Ranks partnership pipeline rows numerically and computes a secondary-measure weighted mean across qualified_partners and active_partners data, delivering two analytical reports for up to 200 supplied records.

Deduplicates exact rows and identifies duplicate keys in patch inventory records (affected_hosts, patched_hosts) with up to 200 rows, producing two independent analytical reports.

Normalises string fields and applies numeric row ordering to patch inventory records (affected_hosts, patched_hosts) for up to 200 rows across 2 independent analytical reports.

Computes category frequencies and a secondary-measure weighted mean for up to 200 payables scheduling records (due_amount, paid_amount) using local analytics — no external calls.

Runs two local analytical reports on up to 200 payables scheduling rows: a record quality audit and a secondary-measure weighted mean for due_amount or paid_amount fields.

Normalises strings and deduplicates exact rows in payables scheduling records (due_amount, paid_amount), returning two analytical reports for up to 200 rows.

Normalises string fields and computes numeric distribution statistics for payables scheduling records (due_amount, paid_amount) across up to 200 rows, returning two analytical reports.

Returns a random Latin text string for testing purposes via a paid HTTP GET request

Facilitates agent-to-agent commerce transactions on the PayanAgent marketplace, settled in USDC on Base via x402 payment protocol

Retrieves a specific marketplace listing or offer from the PayanAgent agent-to-agent economy by title, returning details about services agents can buy or sell settled in USDC.

A paid x402 endpoint on the PayanAgent agent-to-agent marketplace where agents can buy, offer, request, or fulfill services settled in USDC on Base with signed receipts.

Executes a paid POST request to a specific PayanAgent marketplace listing, enabling AI agents to purchase or invoke a bespoke service from another agent via x402 micropayment on Base in USDC.

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

Computes numeric row ordering and trailing mean series for up to 200 payment reconciliation records (expected_amount, received_amount), returning two local analytical reports per call.

Computes trailing moving-average series and adjacent-row delta changes for up to 200 payment reconciliation records, returning two local analytical reports.

Unlocks access to a private virtual-overflow prototype room for Agentic Commerce Demo Day by processing a $0.01 USDC micropayment

Computes a daily sum time series and a two-measure correlation (review_count vs actioned_comments) from supplied peer feedback records, returning two analytical reports for up to 200 rows.

Deduplicates exact-duplicate rows and computes a weighted mean on peer feedback records (review_count, actioned_comments) for up to 200 rows, returning two analytical reports.

Sorts peer feedback rows by a numeric field and filters them to a specified numeric interval, returning two analytical reports for up to 200 supplied records.

Normalises strings and fills missing values (zero, mean, or median) for peer feedback records containing review_count and actioned_comments fields, across up to 200 rows in 2 independent reports.

Encodes input data into Base32 format via a paid micro-service endpoint

Analyzes up to 200 permission audit rows to produce a duplicate key report and numeric row ordering for assigned_permissions or unused_permissions fields.

Compares two permission audit datasets by key and fills missing values, producing 2 analytical reports covering assigned_permissions and unused_permissions for up to 200 rows.

Computes numeric row ordering and trailing mean series for permission audit data (assigned_permissions, unused_permissions) across up to 200 rows, returning 2 analytical reports.

Runs two analytical reports (string normalisation and base-100 index series) on user-supplied permission audit records (assigned_permissions, unused_permissions) for up to 200 rows.

Computes a daily sum time series and a secondary-measure weighted mean from supplied phishing exercise records (messages_delivered, reported_messages) for up to 200 rows.

Analyzes phishing exercise records to produce a duplicate key report and an equal-width histogram for either messages_delivered or reported_messages fields, supporting up to 200 rows.

Analyzes supplied physics scene records to produce a duplicate key report and a Base-100 indexed series for body_count or step_ms fields, across up to 200 rows.

Deduplicates physics scene records and produces a date-by-category pivot report for body_count or step_ms metrics across up to 200 rows.

Runs three analytical reports on physics scene records (body_count, step_ms): a record quality audit, string normalisation, and a date-by-category pivot, for up to 200 rows.

Runs three local analytical reports on physics scene records (body_count, step_ms): a data quality audit, string normalisation, and a trailing mean time series — all offline, no external lookups.

Analyzes pipeline duration records by producing a grouped numeric summary and category frequency report for run_seconds or processed_rows fields, grouped by dataset_group.

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

Analyzes pipeline duration records by ranking rows numerically and computing correlation between run_seconds and processed_rows metrics, delivering two analytical reports in a single call.

Checks declared observational coverage for requested planetary measurement quantities at a specific site and epoch, verifying that each requested quantity has exactly one declared observation matching the specified target, coordinate conventions, time basis, and method.

Deduplicates and numerically orders rows of point cloud records (point_count, file_mb), producing two analytical reports for up to 200 rows.

Audits point cloud records (point_count, file_mb) for quality issues and fills missing values using zero, mean, or median imputation, returning two analytical reports for up to 200 rows.

Computes a secondary-measure weighted mean for point cloud records (point_count, file_mb) and fills missing values explicitly, returning up to 2 analytical reports for up to 200 rows.

Computes a daily sum time series and a secondary-measure weighted mean for supplied policy exception records (open_exceptions, expired_exceptions) across up to 200 rows.