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Analyzes the sentiment of a given text string and returns a sentiment score
Sanitizes or normalizes a filename by cleaning its file extension
Validates a blockchain transaction hash and returns its processed/success status
Extracts prompt templates from input text, identifying reusable AI prompt structures
Validates a blockchain transaction hash and returns its processing status
Scores a topic's topical authority based on coverage terms and number of supporting pages, helping content creators assess their site's subject-matter depth.
Generates structured breadcrumb schema markup (JSON-LD/Schema.org BreadcrumbList) from an array of breadcrumb items
Analyzes text to measure the density of acronyms relative to total word count
Summarizes multi-turn conversation text into a condensed memory representation for use in AI agents
Converts a JSON payload into CSV format and returns the result
Simplifies AI, automation, and digital-income jargon-heavy text into plain language
Audits a business's local SEO presence by analyzing provided text and returning actionable optimization insights
Validates a JSON data string against a provided JSON schema, returning a pass/fail validation result
Performs a deep equality comparison between two JSON values and returns whether they are structurally and semantically identical
Scans German text for Widerrufsrecht (right of withdrawal) related keywords to identify legally relevant content in German e-commerce or digital product contexts
Analyzes text to detect whether it contains clickbait language or tactics
Encrypts plaintext using AES with a password, returning an encrypted result payload
Analyzes the tone of a given text and returns a tone classification result
Calculates the Net Promoter Score (NPS) from counts of promoters, passives, and detractors
Generates a structured person schema (JSON-LD or similar) for a given individual based on their URL, name, and job title
Generates OpenGraph metadata (og:title, og:description, og:image preview data) for a given URL, title, and content
Parses a raw HTTP User-Agent string and returns structured information about the browser, OS, and device type
Audits a business's local SEO presence by analyzing text input and returning actionable SEO improvement results
Extracts and cleans quotes from a given text input
Scores a URL's indexation signals based on its URL, robots.txt content, and canonical tag to assess search engine indexability.
Detects and analyzes German legal disclaimer language in text, identifying legally required notices and compliance-relevant clauses
Builds a URL with query parameters appended to a given base URL
Merges two Helm values objects (base and override) into a single merged result, with override taking precedence over base keys.
Generates an RSS feed from provided content items, title, description, and link for a blog or content site
Converts between Wei and Ether (Ethereum unit denominations) in a specified direction given an amount string.
Scores a piece of text for the presence and intensity of hedging language (uncertain, vague, or non-committal expressions)
Analyzes text to compute the ratio of internal links, scoring content for SEO and internal linking health.
Analyzes a text passage and computes the ratio of first-person language usage within it
Predicts the Largest Contentful Paint (LCP) element from HTML markup to support web performance analysis and optimization.
Generates structured review schema markup from raw review data including body, author, rating, and item name
Generates a dataset schema from a given URL, name, and description of a data source
Minifies and compresses a JSON string by removing whitespace and unnecessary formatting
Computes the loan-to-value (LTV) ratio given an asset value and loan amount
Generates an advanced robots.txt file from input text instructions or configuration
Computes the cryptographic fingerprint of an SSH public key
Checks whether a web page is eligible for Google SERP features (e.g. FAQ rich results, structured data snippets) based on its page type and markup signals
Calculates the price slippage impact of a trade given trade size and pool liquidity
Scores a piece of text for E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) quality signals
Generates a structured software application schema (e.g. JSON-LD SoftwareApplication schema) given basic app metadata like name, URL, OS, and price.
Analyzes input text and identifies redundant or repetitive phrases within it
Generates environment variable template files or configurations from a text description or specification
Analyzes text input to generate or evaluate alt tags for images, supporting SEO and accessibility workflows.
Converts a named tool definition with parameters and description into a standardized MCP (Model Context Protocol) schema format
Detects anomalies in a numeric time-series array using a sliding window approach with a configurable threshold
Merges two .env configuration strings (primary and secondary) into a single combined output
Generates structured software application schema markup (likely schema.org SoftwareApplication JSON-LD) from basic app metadata inputs
Calculates Fibonacci retracement levels given a price range low and high, returning key support/resistance price levels for technical analysis.
Extracts information from a PEM-encoded Certificate Signing Request (CSR) text
Analyzes how close two specified words appear to each other within a given text body
Analyzes HTTP header text and returns a security score indicating how well the headers conform to security best practices
Calculates loan repayment details given a principal amount, annual interest rate, and loan duration in years
Generates structured article schema markup (JSON-LD/schema.org) for blog posts and articles published on the KiHustle platform
Converts text between grammatical gender forms (e.g. masculine/feminine/neutral) based on a specified mode
Extracts URL parameters from a given text string
Generates one or more UUIDs, optionally with a custom prefix, and returns them as a structured JSON response.
Extracts URL parameters from a given text string
Validates a JSON data string against a provided JSON schema and returns a pass/fail result
Scores a URL's indexation signals (robots.txt, canonical tags) to assess search engine crawlability and indexability
Analyzes and ranks a text string by its sentence complexity level
Extracts and parses information from a PEM-encoded Certificate Signing Request (CSR) text
Computes the type-token ratio (TTR) of a given text, measuring lexical diversity by comparing unique word types to total word tokens
Computes a CRC16 checksum for a given input string
Generates a German-language legal Impressum (imprint) template for websites, compliant with German legal requirements
Extracts and cleans quotes from a given text input, returning structured parsed quote content
Checks whether a given income or employment situation complies with the German Minijob earnings limit (Minijob-Grenze)
Audits text or HTML content to identify render-blocking JavaScript issues that slow down page load performance
Generates structured how-to schema markup from a named process and its ordered steps
Calculates German 19% VAT (Umsatzsteuer) amounts from a given text or numeric input
Calculates the geographic distance between two coordinate pairs (lat/lon points)
Converts plain English text to Pig Latin (or decodes Pig Latin back to English)
Calculates estimated daily calorie needs based on age, gender, height, and weight
Validates an HTML string and returns a processed result indicating whether the markup is well-formed or has errors
Generates an aggregated rating summary for a named item given its numeric rating and review count
Generates or processes a German-language legal liability disclaimer (Haftungsausschluss) template for digital content, websites, or online businesses
Normalizes and parses date expressions from free-form text into a standardized format
Calculates German VAT (Umsatzsteuer) at the standard 19% rate from a text input describing a price or transaction
Computes a lexical diversity index score for a given text input
Validates a JSON-LD object against Schema.org standards and returns a lightweight pass/fail result with processing status.
Counts hapax legomena (words that appear exactly once) in a given text input
Generates or processes a sitemap index from a list of individual sitemap URLs, returning a consolidated result
Generates a dataset schema from a URL, name, and description input
Detects and validates German commercial register (Handelsregister) number patterns in text strings
Constructs a fully-formed URL with query parameters by merging a base URL with a params object
Generates or processes German-language AGB (Allgemeine Geschäftsbedingungen / Terms of Service) legal template documents for digital businesses
Computes word or text embedding similarity by proxying a text input through a vector embedding model and returning a similarity result
Minifies and compresses a JSON-LD structured data object into a compact representation suitable for embedding in web pages.
Validates and processes phone number strings, returning a structured result indicating whether the input is a valid phone number.
Validates and checks phone numbers submitted as text input, returning a processed result with success status
Computes a lead quality score from visitor behavioral signals including page views, email clicks, and form submissions
Scores a given AI-generated text or prompt for hallucination risk, returning a risk assessment result
Estimates German Gewerbesteuer (trade tax) liability based on a text description of business income or trade details
Computes the Poisson probability mass function for a given number of events k and rate parameter lambda
Estimates the cost of running an AI agent workflow based on a text description of the task or process
Checks whether a given income or employment situation is within the German Minijob earnings limit (geringfügige Beschäftigung threshold)
Scores or evaluates text for formal tone quality in German (Sie-form / de-formal register)