All Services

Validates a cloud usage CSV table and returns per-column statistics (up to 1000 rows) including category checks and numeric range validation.

Validates a cloud usage CSV file (up to 1000 rows) against a declared table contract, checking structure, cell lengths, numeric ranges, and category allowlists.

Validates a declared CSV table contract for cloud usage import data, checking column structure and data integrity for up to 1000 rows.

Validates a cloud usage import CSV file and returns a report of exact row duplicates, up to 1000 rows.

Validates the header contract of a cloud usage CSV file, checking column names, data types, and cell constraints for up to 1000 rows.

Validates a cloud usage CSV file and returns a report of all invalid rows that fail defined constraints

Validates a cloud usage CSV file and returns a located error report identifying cell-level issues in up to 1000 rows

Validates that all numeric cells in a cloud usage imports CSV fall within a specified minimum and maximum range, returning a detailed range check report.

Validates that all record keys in a cloud usage import CSV are unique, reporting any duplicate key violations across up to 1000 rows.

Validates that all required cells in a CSV cloud usage import are present and non-empty, checking up to 1000 rows.

Validates a CSV table of cloud usage records (up to 1000 rows) for spreadsheet formula injection flags and structural contract issues.

Validates and normalizes a cloud usage CSV table by trimming and type-converting up to 1000 rows, enforcing column contracts, numeric bounds, and allowed category lists.

Validates a CSV of cloud usage data (up to 1000 rows) and returns a report of rows that pass all declared contract constraints.

Converts input text into spoken audio using Cluster Protocol's AI-powered speech synthesis engine

Creates a verifiable B2B invoice with a payment URL for a business transaction, returning invoice ID, invoice URL, and pay URL via x402 micropayment protocol

Purchase CodeNut platform credits worth 100x the $0.01 payment cost via x402 micropayment protocol

Purchase 100x worth of CodeNut platform credits for $1 USDC via x402 micropayment protocol

Purchase $10 worth of CodeNut platform credits via x402 micropayment, receiving 100x value in credits for building on the CodeNut platform

Sends a notification message to a Discord channel via webhook

Retrieves recent SMS messages received by a public phone number, including sender and message text

Generates an animated code screenshot or visual from provided code, returning a media artifact via a pay-per-use API

Captures a screenshot of a web page or URL and returns a rendered image, with pay-per-use billing via x402.

Analyzes a web page or HTML containing code snippets and returns the frequency of adjacent word pairs (bigrams) within the code content.

Extracts the value of a specified HTML attribute from code snippet elements on a given webpage or HTML document.

Checks whether a specific HTML attribute (optionally with a given value) is present on code snippet elements matching a search term in a given webpage or HTML fragment.

Parses a web page or HTML snippet to extract all distinct values of a specified HTML attribute on code elements matching a search term.

Extracts unique/distinct values of a specified HTML attribute from all code snippet elements on a given webpage or HTML string.

Parses an HTML page or supplied HTML string to find duplicate values for a specified attribute within code snippet elements.

Scans a webpage or supplied HTML to detect duplicate values for a specified attribute within code snippet elements, returning a bounded duplicate value report.

Scans a webpage or HTML snippet containing code elements and detects invisible/hidden Unicode characters within them

Extracts and joins all text content from code snippet elements on a web page or supplied HTML, filtered by a search term and optional HTML attribute/value.

Parses an HTML page to find code snippet elements whose specified attribute exactly matches a given value, filtering by a search term.

Searches a web page or supplied HTML for literal term matches within code snippet elements, returning matched text content.

Extracts a code snippet element from a webpage and compares its current text content against a set of previously recorded texts to detect changes.

Returns a trust decision for machine-to-machine x402 micropayment workflows, supporting fact-checking, code review, coding, and research tasks via signed one-cent messages.

Submits a task (fact-checking, code review, coding, or research) to the Codex autonomous agent and receives a signed evidence bundle in return, billed at $0.10 USDC per call via x402.

Returns preflight capability and trust metadata for a paid autonomous worker agent supporting fact-checking, code review, coding, and research tasks via x402 micropayments.

Returns preflight metadata for the Codex Autonomous Worker agent, advertising its capabilities (fact-checking, code review, coding, research) and x402 payment parameters before task execution.

Returns a technical markdown article documenting an OAuth privilege escalation vulnerability caused by an empty subject field on a pre-seeded public OAuth client in Cloudflare Workers, including the exploit proof and fix.

Returns a technical article explaining how to fix Cloudflare Workers RPC proxy traps for function calls using Reflect.apply

Returns a technical article (Markdown) explaining how a compile-time Rust macro eliminates SQLite binding friction in Cloudflare Workers by handling mixed-type parameters automatically with zero runtime cost.

Returns a markdown article explaining how three distinct bugs can masquerade as a single symptom, with a focus on a real-world price pipeline debugging story and hidden code comments.

Returns a markdown article explaining why AI agents that skip documentation workflows encounter problems and why the documentation process exists

Validates a URL, domain, or email address as a deterministic preflight check for coding agent workflows, returning an ok/fail signal.

Returns recent earthquake data filtered by count limit and minimum magnitude threshold

Fetches the live ERC-20 token balance for a given wallet address on the Base network, defaulting to Wrapped BTC (cbBTC) for trading research.

Returns ERC-20 symbol, decimals, and total supply for a token on the Base network, defaulting to Coinbase Wrapped BTC (cbBTC).

Performs AML/KYC compliance verification checks on entities or transactions via an AI-powered crypto payment platform

Returns real-time wildfire and thermal anomaly alerts sourced from NASA FIRMS satellite data

Analyzes construction site photos using AI to track and report on project milestones and progress

Routes USDC across blockchain networks via Circle CCTP, enabling payment on Ethereum and receipt on Base, Polygon, or Arbitrum instantly

Provides AI-powered AML/KYC compliance consultation and risk assessment for crypto-related activities

Returns U.S. National Weather Service cold weather forecast periods and active cold alerts for a given latitude/longitude, tailored for technology buyer audience context.

Returns the official Colombian peso (COP) to US dollar (USD) exchange rate (TRM) from Superintendencia Financiera and BanRep, via a web scrape endpoint paid with x402 micropayments.

Computes confidence calibration bins for a commerce intent classifier using up to 200 labelled records with predicted probabilities and actual labels.

Computes a confusion matrix for a commerce intent classifier (browse/purchase/return/other) given up to 200 labelled and predicted text records.

Generates a fixed-holdout learning curve for a commerce intent classifier (browse/purchase/return/other) using up to 200 labelled text records with naive-Bayes baselines.

Computes label distribution statistics for a set of labelled commerce intent text records (browse, purchase, return, other)

Accepts up to 200 labelled text records with commerce intent categories and returns a formatted JSONL export for local ML evaluation and naive-Bayes baseline training.

Computes macro, micro, and weighted precision/recall/F1 scores for a set of commerce intent classification predictions (browse, purchase, return, other) against ground-truth labels.

Computes multiclass log loss for a commerce intent classifier (browse/purchase/return/other) from up to 200 labelled text records with predicted probabilities.

Evaluates a supplied set of labelled commerce-intent text records (browse/purchase/return/other) broken down by group, returning per-group classification metrics and naive-Bayes baseline comparisons.

Trains a naive-Bayes text classifier on up to 200 labelled commerce-intent records and classifies query texts into browse, purchase, return, or other categories

Searches live public web pages about community facilities (libraries, public spaces, etc.) and returns relevant source links and snippets, targeted at developers.

Searches the live web via Bing to find public background pages and official sources for consulting companies.

Searches the web via Bing to find official company background pages and public sources relevant to procurement research.

Searches live Bing web results to find public company background pages and official sources, optimized for product team research contexts.

Searches the web via Bing to find public background pages and official sources for small businesses, returning up to 10 results.

Computes adjacent row-to-row changes and a Base-100 indexed series for company filing inventory data (available_filings, expected_filings) across up to 200 rows.

Runs two local analytical reports on company filing inventory data: adjacent row-to-row change detection and a date-by-category pivot table, for up to 200 rows.

Runs two local analytical reports on company filing inventory data: adjacent row-to-row change detection and an equal-width histogram, for up to 200 rows.

Computes adjacent row changes and fills missing values (zero/mean/median) for company filing inventory data (available_filings, expected_filings) across up to 200 rows.

Computes adjacent row-to-row changes and secondary-measure weighted mean statistics for up to 200 company filing inventory records (available_filings, expected_filings).

Analyzes company filing inventory data by computing adjacent row changes and correlating two filing measures (available_filings and expected_filings) across up to 200 rows.

Generates two analytical reports (Base-100 indexed time series and date-by-category pivot table) from supplied company filing inventory data (available_filings, expected_filings) for up to 200 rows.

Transforms supplied company filing inventory data (available_filings, expected_filings) into a Base-100 index series and fills any missing values using a chosen fill method (zero, mean, or median).

Computes Base-100 index series and secondary-measure weighted mean analytics for company filing inventory data (available_filings, expected_filings) across up to 200 rows.

Computes a Base-100 indexed time series and a two-measure correlation analysis for supplied company filing inventory records (available_filings, expected_filings).

Analyzes supplied company filing inventory data to produce category frequency distributions and a Base-100 indexed time series for available_filings or expected_filings fields.

Analyzes company filing inventory data (available_filings, expected_filings) to produce two reports: category frequency distributions and daily sum time series, for up to 200 rows.

Computes category frequencies and a date-by-category pivot table for company filing inventory data (available_filings, expected_filings) across up to 200 rows.

Computes category frequency counts and an equal-width histogram for available_filings or expected_filings across supplied company filing inventory records (up to 200 rows).

Analyzes company filing inventory data to produce category frequency counts and a keyed comparison between two supplied datasets (available_filings vs expected_filings) for up to 200 rows.

Analyzes company filing inventory records to produce category frequency counts and numeric row ordering reports for available_filings and expected_filings fields.

Computes category frequencies and secondary-measure weighted mean analytics for company filing inventory data (available_filings, expected_filings) across up to 200 rows.

Computes category frequency distributions and trailing moving-average series for company filing inventory data (available_filings, expected_filings) across up to 200 rows.

Analyzes company filing inventory data to produce category frequency distributions and a two-measure correlation report for available vs. expected filings.

Computes daily sum series and adjacent row changes for company filing inventory data (available_filings, expected_filings) across up to 200 rows, returning 2 analytical reports.

Generates two analytical reports from company filing inventory data: a daily sum time series and a date-by-category pivot table, for up to 200 rows.

Computes a daily sum time series and an equal-width histogram for supplied company filing inventory records (available_filings, expected_filings) using local analytical engines.

Computes daily sum aggregations and fills missing values (zero, mean, or median) for company filing inventory records (available_filings, expected_filings) across up to 200 rows.

Computes daily sum time series and IQR-based outlier flags for company filing inventory data (available_filings, expected_filings) across up to 200 rows.

Computes daily sum series and secondary-measure weighted mean for supplied company filing inventory records (available_filings, expected_filings) across up to 200 rows in two reports.

Computes daily sum time series and Pearson/rank correlation between available_filings and expected_filings for up to 200 supplied company filing inventory records, returning two local analytical reports.

Pivots company filing inventory data (available_filings, expected_filings) by date and category, and fills missing values using zero, mean, or median imputation — returning two analytical reports for up to 200 rows.

Analyzes up to 200 rows of company filing inventory data to produce a duplicate key report and an adjacent row changes report for available_filings or expected_filings fields.

Runs two local analytical reports on supplied company filing inventory rows: a duplicate key report and a base-100 index series for a chosen numeric field.

Analyzes up to 200 rows of company filing inventory data (available_filings, expected_filings) to produce two reports: a duplicate key report and a daily sum time series, using local analytical engines.

Analyzes up to 200 rows of company filing inventory data to produce a duplicate key report and an equal-width histogram for a chosen numeric field.

Analyzes up to 200 company filing inventory rows to produce a duplicate key report and fill missing values in available_filings or expected_filings using zero, mean, or median imputation.