All Services

Audits record quality, normalises strings, and fills missing values in business location inventory data (location_count, verified_locations) for up to 200 rows, producing 3 independent analytical reports.

Runs three local analytical reports on business location inventory data: a record quality audit, string normalisation, and a grouped numeric summary for location_count or verified_locations fields.

Runs three analytical reports on up to 200 rows of business location inventory data: a record quality audit, string normalisation, and IQR-based outlier flagging for location_count or verified_locations fields.

Audits data quality, normalises strings, and filters by numeric interval for up to 200 business location inventory records across location_count and verified_locations fields.

Runs three offline analytical reports on business location inventory data: record quality audit, string normalisation, and trailing mean series computation (up to 200 rows).

Audits record quality, normalises strings, and computes correlation between location_count and verified_locations for up to 200 rows of business location inventory data, returning 3 analytical reports.

Runs a record quality audit and trailing mean time series analysis on up to 200 rows of business location inventory data (location_count, verified_locations).

Computes a secondary-measure weighted mean and fills missing values in supplied business location inventory records (location_count, verified_locations) for up to 200 rows.

Computes a secondary-measure weighted mean and performs a keyed dataset comparison on supplied business location inventory records (location_count, verified_locations) for up to 200 rows.

Performs string normalisation and base-100 index series computation on supplied business location inventory records (location_count, verified_locations) for up to 200 rows, returning two analytical reports.

Accepts up to 200 rows of business location inventory data and returns two local analytical reports: string normalisation and daily sum series for location_count or verified_locations fields.

Normalises strings and generates a duplicate key report for up to 200 rows of business location inventory data (location_count, verified_locations) using local analytical engines — no external lookups or live data.

Normalises string fields and computes grouped numeric summaries for business location inventory records (location_count, verified_locations) across up to 200 rows.

Computes trailing moving-average series and adjacent-row delta changes for business location inventory data (location_count, verified_locations) across up to 200 supplied rows.

Computes a trailing moving average series and a date-by-category pivot table for user-supplied business location inventory records (location_count, verified_locations).

Computes a trailing mean time series and an equal-width histogram over supplied business location inventory records (location_count or verified_locations).

Computes a trailing moving-average time series and fills missing values in business location inventory data (location_count, verified_locations) for up to 200 rows.

Computes a trailing mean time series and a keyed dataset comparison for up to 200 rows of business location inventory data (location_count, verified_locations), returning two analytical reports.

Computes a trailing mean time series and a secondary-measure weighted mean over supplied business location inventory records (location_count, verified_locations) for up to 200 rows.

Computes a trailing moving average series and a two-measure Pearson/statistical correlation for supplied business location inventory data (location_count, verified_locations) across up to 200 rows.

Computes correlation between location_count and verified_locations, and fills missing values using zero/mean/median for up to 200 business location inventory rows.

Computes Pearson/rank correlation between location_count and verified_locations, and performs a keyed row-by-row comparison between two supplied business location inventory datasets, returning two analytical reports for up to 200 rows.

Fetches recent Google News RSS results about business company earnings with a consulting industry focus

Fetches recent business and earnings news articles from Google News RSS, filtered for relevance to product teams.

Fetches recent Google News RSS results about business company earnings, tailored for research team workflows

Extracts action-marker lines (e.g. TODO items with dates) from business proposal Markdown or plain text documents

Scans a business proposal document for duplicate paragraphs and returns a structured audit report highlighting repeated content.

Masks email addresses and phone numbers found in business proposal documents (Markdown or plain text) using deterministic pattern replacement.

Converts Markdown or plain text business proposal content into an escaped HTML preview string, deterministically, without generative AI.

Generates a structured heading outline from supplied business proposal text using deterministic document templates

Analyzes a business proposal document and returns a length and paragraph profile including structural metrics.

Generates a paragraph-level change report comparing two versions of a business proposal document

Extracts and identifies discrete sections from a business proposal document supplied as Markdown or plain text

Counts and ranks word frequencies in a business proposal document provided as Markdown or plain text (up to 20,000 characters).

Analyzes a webpage or HTML snippet to compute the frequency of adjacent word pairs (bigrams) found in button labels.

Scans a webpage or HTML snippet to find button elements that share a duplicate value for a specified attribute, filtered by a search term and a reference value.

Scans a web page or HTML snippet for button elements and reports duplicate values found in a specified attribute, optionally comparing against previously known values.

Statically parses a webpage or HTML snippet to report button elements whose specified attribute has an empty value.

Detects invisible Unicode characters in button label text on a webpage or supplied HTML, flagged by element attribute matching.

Finds button elements on a webpage whose specified HTML attribute value literally matches a given search term, returning matched button labels.

Extracts button labels from a webpage or HTML snippet and compares them against a supplied set of previous text values to identify changes

Extracts context excerpts surrounding a specified term from button labels on a given web page or HTML document.

Ranks button label texts by character length from a webpage or supplied HTML, optionally filtered by a search term and element attribute.

Counts word frequency within button label text on a given webpage or HTML snippet, optionally filtered by a specific term and button attribute.

Continuously monitors a token for security changes over 24 hours and alerts on suspicious or dangerous state transitions in real time

Executes a pre-defined automated trading strategy on behalf of the user

Returns a paid AI-generated decision procedure brief helping agents determine whether a credit pricing offer in an x402 marketplace is honest and worth accepting

Returns an LLM-generated decision procedure covering buyer-side x402 trust composites: withdrawal-latency indexing, telco-rail dispute resolution, and refund-oracle verification for agent payments.

Computes a Base-100 rebased price index for buy-X-get-Y-free retail promotion scenarios across up to 200 merchandise rows, normalizing all values relative to a chosen baseline record.

Computes and compares the effective merchandise total under a Buy-X-get-Y-free promotion for two scenarios (before and after), showing the impact of changed pricing or basket parameters.

Computes a distribution histogram of Buy-X-get-Y-free promotional merchandise totals across up to 200 retail basket records, grouped into configurable bins.

Detects IQR-based statistical outliers in Buy-X-get-Y-free promotional merchandise totals across up to 200 retail records.

Compares named retail pricing scenarios for buy-X-get-Y-free promotions, calculating merchandise totals across a baseline and up to 20 labeled override scenarios.

Generates a one-input sensitivity table showing how a Buy-X-get-Y-free deal's merchandise total changes as one pricing variable is varied across supplied values.

Computes and attributes the change in Buy-X-Get-Y-Free promotional merchandise totals between two sets of retail parameters, showing which input changes drove the difference.

Calculates the gap between a target revenue figure and the actual merchandise total under a buy-X-get-Y-free promotional pricing structure.

Classifies buy-X-get-Y-free retail basket totals against a numeric threshold range, returning a bounded classification report for up to 200 records.

Generates a two-dimensional scenario grid showing effective merchandise totals under buy-X-get-Y-free pricing across combinations of two variable inputs

Parses a list of CAA DNS record strings and extracts the authorized certificate authority hostnames from them.

Computes adjacent (period-over-period) row changes for cache hit/miss observation data, returning a bounded descriptive analytics report for up to 200 records.

Computes a base-100 indexed series for cache hit or miss observations across up to 200 dated records, enabling normalized trend comparison anchored to a chosen baseline row.

Computes category-frequency counts across cache observation records (hits/misses by cache group and date) for up to 200 rows of typed input data.

Computes daily sum totals (hits or misses) across cache observation records, grouped by date, for up to 200 input rows.

Pivots up to 200 cache observation records (hits/misses) by date and cache category, returning a local descriptive analytics summary table.

Computes an equal-width histogram over cache hit or miss counts from up to 200 typed cache observation records, returning a local descriptive analytics report.

Removes duplicate rows from a batch of cache observation records (hits/misses by date and cache group) and returns a deduplication report.

Fills missing numeric values (hits or misses) in up to 200 cache observation records using zero, mean, or median imputation, returning a local descriptive analytics report.

Computes grouped descriptive statistics (numeric summary) for cache hit/miss observations, grouped by cache name, from up to 200 supplied records.

Compares two keyed datasets of cache hit/miss observations (up to 200 rows each) and returns local descriptive analytics highlighting differences between the two groups.

Filters cache observation records (hits/misses) to only those rows where a specified numeric field falls within a given minimum-maximum range, returning local descriptive analytics on up to 200 records.

Audits the data quality of up to 200 cache observation records (hits, misses, date, cache group) and returns a local descriptive analytics report.

Finds available calendar time slots for scheduling meetings or appointments given scheduling constraints

Maps a probability value to a discrete bucket index given a specified number of bins, useful for histogram-style binning in agent pipelines.

Computes period-over-period adjacent row changes for call centre metrics (calls or wait_seconds) across up to 200 input records

Converts up to 200 call centre records (calls volume or wait time) into a base-100 indexed time series, normalised against a chosen reference row, computed entirely on-device with no external enrichment.

Computes category frequencies (counts per team/date group) for up to 200 call centre records supplied by the caller

Compares two keyed datasets of call centre records (calls and wait times) row-by-row and returns numeric difference and data-quality analysis.

Computes a numeric distribution (e.g. histogram/frequency breakdown) over call centre data fields such as call counts or wait seconds, for up to 200 records.

Filters call centre records (calls or wait_seconds) to only return rows whose numeric field value falls within a specified minimum–maximum interval.

Sorts up to 200 call centre records by a specified numeric field (calls or wait_seconds) and returns them in ordered sequence.

Validates and audits data quality of up to 200 call centre records (team, date, calls, wait_seconds) using local numeric and data-quality checks

Computes a secondary-measure weighted mean for call centre records, weighting one numeric field (e.g. wait_seconds) by another (e.g. calls) across up to 200 supplied rows.

Returns a list of EVM liquidity pool clone data (v3) for blockchain analytics and autonomous agent consumption.

Fetches data about Alien V3 liquidity pools on EVM-compatible blockchains, payable per-call in USDC via x402.

Returns trending momentum social data for tokens or topics, delivered pay-per-use via x402 blockchain micropayment.

Splits a campaign brief document (Markdown or plain text) into bounded text chunks of a specified maximum character size using deterministic processing.

Detects and reports duplicate paragraphs within a campaign brief document supplied as Markdown or plain text.

Masks email addresses and phone numbers found in campaign brief documents (Markdown or plain text, up to 20,000 characters) using deterministic pattern matching.

Generates a structured heading outline from a campaign brief document (Markdown or plain text, up to 20,000 characters) using deterministic document template processing.

Extracts and inventories all HTTP links found within a campaign brief document supplied as Markdown or plain text.

Scans a campaign brief document and inventories all ISO-date patterns found within it, returning a structured list of detected dates.

Extracts and inventories all quoted passages from a campaign brief document supplied as Markdown or plain text.

Reorders the recognised sections of a campaign brief document into a standard sequence using deterministic template logic.

Audits a campaign brief document to verify all required sections are present and complete

Generates a structured section template for a campaign brief from supplied Markdown or plain text, with deterministic formatting and no generative prose.

Scans a campaign brief document and reports coverage statistics for a user-supplied list of terms, using deterministic document processing with no generative AI.

Counts and ranks word frequencies in a campaign brief document supplied as Markdown or plain text (up to 20,000 characters).

Validates a campaign-imports CSV file and identifies blank rows, accepting up to 1000 rows with configurable delimiter, cell-length, and allowed category values.

Validates calendar date fields in a campaign import CSV, checking up to 1000 rows for date correctness against declared constraints.

Validates CSV cell lengths in campaign import data against a declared maximum, auditing up to 1000 rows for contract compliance.