All Services

Retrieves a structured playbook on building and leveraging AI citation networks, published by a Phoenix operator building businesses in public.

Retrieves the 'skillframe-practice-loop' playbook, a premium structured guide for skill development loops from a Phoenix operator's public business-building notes.

Sorts job listing inventory rows numerically and fills missing values in listing_count or duplicate_listings fields using zero, mean, or median imputation, returning two analytical reports for up to 200 rows.

Runs three analytical reports on job listing inventory data: record quality audit, string normalisation, and secondary-measure weighted mean for up to 200 rows.

Runs string normalisation and adjacent-row change detection on up to 200 rows of job listing inventory data (listing_count, duplicate_listings) and returns 2 analytical reports.

Deduplicates exact rows and applies numeric ordering to join coverage records (matched_rows, source_rows) across up to 200 rows, producing 2 analytical reports.

Computes grouped numeric statistics for join coverage data (matched_rows, source_rows) and fills missing values using a chosen imputation method, returning two analytical reports for up to 200 rows.

Retrieves a signed public-record entry for a named node, product, or estate-scale block, returning an EdDSA-signed receipt resolvable by nonce.

Runs a blockchain-powered workflow that checks the freshness or validity of a premise (e.g., a data point, claim, or on-chain state) via KeeperHub's visual automation engine

Returns a reusable WASD/arrow-key ES module with normalized diagonal motion, blur reset, and listener disposal for a specific game preset identified as braided-19-d2.

Returns a reusable WASD/arrow-key ES module with normalized diagonal motion, blur reset, and listener disposal for the horizontal-19-d4 preset game configuration.

Returns a reusable WASD/arrow-key ES module with normalized diagonal motion, blur reset, and listener disposal for game preset open-19-d2

Returns a reusable WASD/arrow-key ES module with normalized diagonal motion, blur reset, and listener disposal for a specific preset game configuration (open-23-d3).

Adds a new liquidity or resource pool via a pay-per-call API endpoint using the x402 payment protocol

Generates structured job posting schema markup from job title, company, location, and description inputs

Generates a lightweight README document for an API or project given a title, description, and list of endpoints

Analyzes a text input and returns a score reflecting the degree of hedging or uncertain language present

Generates structured breadcrumb schema markup (JSON-LD or similar) from a list of breadcrumb items for SEO and structured data purposes.

Scans HTML content and identifies broken or dead hyperlinks within it

Calculates annual depreciation (AfA) for an asset given its acquisition cost, useful life, and the specific year of depreciation

Computes the standard error of the mean (SEM) for a given array of numeric values

Generates an HMAC-SHA256 cryptographic hash/signature from a given message and secret key

Analyzes whether a list of article headings are well-aligned with a target SEO keyword

Computes a lightweight semantic similarity score between two input text strings

Calculates projected staking rewards given a principal amount, annual percentage yield (APY), and staking duration in days

Counts the frequency of each word in a given text string and returns a frequency map

Encodes a text string using the Metaphone phonetic algorithm, returning a phonetic representation for fuzzy name matching and sound-alike searches.

Anonymizes specified columns in a CSV text payload, replacing sensitive values with privacy-safe substitutes

Converts an XML string into a JSON representation via a simple POST request

Computes historical Value-at-Risk (VaR) for a portfolio given a series of historical returns and a confidence level

Generates an RSS feed from provided title, description, link, and content items for a KiHustle-style content channel

Encrypts a plaintext string using AES encryption with a provided password

Filters rows from a CSV dataset based on a specified column name and condition value, returning only matching rows.

Corrects grammar in a given text string and returns the processed result

Normalizes German phone numbers from free-form text into a standardized format

Minifies a JSON-LD structured data object, reducing its size for faster page loads and cleaner SEO markup.

Detects seasonality patterns in a time-series array of numeric values given a specified period length

Rewrites or adjusts input text to match a specified target tone

Generates structured event schema markup from a URL, name, location, and start date for a given event

Modifies the width and height dimensions of an SVG code string and returns the processed SVG

Converts a monetary amount from one currency to another using a static (pre-cached) exchange rate

Detects and identifies clichés in a given text passage

Minifies a JSON-LD structured data object, removing unnecessary whitespace to produce a compact representation

Converts a Markdown-formatted text string into rendered HTML markup

Generates a color palette of a specified size based on a given base color

Looks up bank/financial institution details by BIC (Bank Identifier Code)

Generates an MCP (Model Context Protocol) server manifest from a given server name and list of tools

Computes the statistical covariance between two numerical data series

Encodes an arbitrary string into its Base64 representation

Splits a JSON array into fixed-size chunks and returns the chunked result

Generates a formatted changelog entry from a list of changes and a version string

Decodes and validates a JWT token, returning its parsed claims and status

Converts a CSS/HTML hex color code into its RGB component values

Generates a Twitter/X card metadata object from a URL, title, and content snippet for social sharing previews

Converts an OpenAPI JSON specification into a processed, LLM-friendly format suitable for AI agent consumption

Simulates a Markov chain by stepping through a transition matrix from a given start state for a specified number of steps

Computes the median absolute deviation (MAD) of a submitted array of numeric values

Generates a Content Security Policy (CSP) HTTP header string from provided source directives like script-src and default-src.

Calculates the Annual Percentage Yield (APY) from a given daily interest rate and compounding frequency

Extracts hyperlinks from HTML text input and returns a structured list of URLs found within it

Extracts keywords from a given text input and returns them as structured output

Computes customer lifetime value (CLV) from lifespan, average order value, and purchase frequency inputs

Analyzes a text string to detect whether it was written by an AI or a human

Converts structured row/header data into a formatted Markdown table string

Minifies an HTML string by removing unnecessary whitespace and redundant characters to reduce file size

Validates a German VAT identification number (DE-Umsatzsteuer-ID) from a text string and returns a validation result

Counts the number of syllables in a given text string

Converts a JSON data string into CSV format, returning a processed CSV result

Computes a simple moving average over a numeric array with a specified window size, returning smoothed values as JSON

Computes the percentage change between an old value and a new value

Generates structured schema markup (JSON-LD/Schema.org) for a webpage given its URL, name, and description

Converts a nominal interest rate to its effective annual rate (EAR) given the number of compounding periods per year

Generates structured event schema markup from a URL, event name, location, and start date

Calculates the percentage return for a HODL (hold) period given a start price and end price of an asset

Splits a JSON array into smaller fixed-size chunks and returns the chunked result

Strips metadata (EXIF and other embedded data) from image files, returning a clean version with metadata removed

Computes the confidence interval for the mean of a numeric dataset at a specified confidence level

Calculates the entropy (strength) of a given text string, typically used to evaluate password security

Calculates the amortisation (payback period and cost-benefit) of an investment given its annual costs and annual savings

Normalizes German phone numbers from free-text input into a standardized format

Generates structured schema markup (e.g. JSON-LD) for a webpage given its URL, name, and description

Scans HTML content and returns a list of broken or invalid hyperlinks found within it

Parses a User-Agent string and returns structured information about the browser, OS, and device type.

Calculates customer acquisition cost (CAC) by dividing total sales and marketing costs by the number of new customers acquired

Removes filler phrases and verbal padding from input text to produce cleaner, more concise output

Generates structured JSON-LD or schema.org NewsArticle markup for a given article URL, headline, and publication date

Converts a content title string into a URL-friendly slug for use in blog posts, articles, or web pages

Transforms freeform text into a concise, optimized list of bullet points with a configurable maximum item count

Extracts hyperlinks from HTML text content, returning structured link data

Validates whether a given text string is a valid German mobile phone number

Bins an array of numeric values into a specified number of histogram buckets and returns the distribution result

Converts XML text input into YAML format via a simple POST API call

Validates whether a given string is a valid Ethereum address

Analyzes whether a set of article headings are well-aligned with a target SEO keyword

Simulates a Markov chain by stepping through a given transition matrix from a starting state for a specified number of steps

Generates a structured video object schema (e.g. schema.org VideoObject) from basic video metadata inputs like URL, name, duration, and thumbnail.

Computes a CRC16 checksum for a given text string and returns the result

Generates a German-language Auftragsverarbeitungsvertrag (AVV/Data Processing Agreement) legal template based on provided text input

Generates a structured video object schema (JSON-LD or similar) from video metadata inputs like URL, name, duration, and thumbnail

Computes the Levenshtein (edit) distance between two input strings