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Calculates percentile rankings from a dataset submitted as JSON via POST request
Simplifies AI, automation, and side-hustle jargon into plain, accessible language
Converts a numeric value from one unit of measurement to another unit
Computes the directional bearing between two geographic points (point_a to point_b)
Computes semantic similarity between text inputs using word embeddings, returning a similarity or embedding result via a pay-per-call proxy.
Detects whether a given text is written in the imperative mood
Analyzes text input to perform a local SEO audit and returns a structured result with SEO status
Coerces and normalizes JSON field types within an arbitrary object payload, returning a processed result with corrected types.
Analyzes text to generate EEAT (Experience, Expertise, Authoritativeness, Trustworthiness) author quality signals for content evaluation
Validates that named entities mentioned in a text are internally consistent with a provided list of expected entities
Infers a structured schema from a provided array of sample JSON objects
Parses and processes MCP (Model Context Protocol) tool definitions or related text into structured, actionable results
Parses and processes MCP (Model Context Protocol) tool definitions or tool-related text submitted as a string
Compresses and semantically reduces input text (prompts) to a shorter, meaning-preserving form
Processes and evaluates multiple ROI scenarios for AI-driven side hustle or digital income investments, returning computed results for each scenario.
Parses and processes a given URL, returning structured metadata or extracted content from that URL
Analyzes a code snippet and returns a complexity assessment result
Analyzes content or topics to identify knowledge/context gaps related to AI, automation, and digital side hustles
Checks whether an Open Graph image meets standard aspect ratio requirements for social media sharing
Extracts or processes JSON schema information from provided data strings
Calculates the Smog Index (reading complexity/grade level) for a given text passage
Detects whether a given text is written in the imperative mood
Checks and returns the dimensions (width and height) of an image file submitted as data or by filename
Extracts prompt templates from a given text input, returning structured prompt components for AI workflows
Generates a CORS policy configuration based on specified HTTP methods and allowed origins
Scores or evaluates German text for formal tone adherence using the 'de-formal-tone' style standard
Validates and processes JSON-LD structured data to prepare it for Google Rich Results eligibility
Lints and validates Ansible playbook YAML text, returning a lightweight analysis of syntax and structural issues.
Extracts prompt templates from a given text input, identifying and structuring reusable AI prompt patterns.
Expands acronyms found in a text string into their full forms
Checks or validates text intended for social share images on the KiHustle platform
Scans German-language text for privacy-relevant keywords, likely for DSGVO/GDPR compliance screening or data protection analysis
Computes Bollinger Bands technical indicator values for a given price series or financial asset text input
Normalizes and standardizes date strings from free-form text input into a consistent structured format
Audits text for external links and checks whether they carry proper nofollow attributes, returning a processed result indicating compliance status.
Generates few-shot prompt examples for AI, automation, and side hustle topics using a POST API
Validates hreflang tag reciprocity in multilingual web content to ensure alternate language links are correctly cross-referenced
Checks whether named entities mentioned in a text are consistent with a provided list of expected entities
Parses and extracts structured information from changelog text, returning a processed result
Anonymizes input text by processing and stripping identifying information from the provided string
Validates whether a given image width and height meet Twitter Card image dimension requirements
Converts a numeric temperature value from one unit to another (e.g., Celsius to Fahrenheit)
Analyzes and optimizes the length of a meta description text for SEO best practices
Estimates the cost of running an AI agent or automation workflow based on a text description of the task
Checks and validates redirect behavior of a given URL or text input, returning a processed result with status
Generates an advanced robots.txt file from input text describing crawl rules or site structure preferences
Builds a correlation matrix from one or more input datasets to reveal statistical relationships between variables
Parses and processes robots.txt text content, returning structured results about crawl directives
Accepts HTML input and returns critical CSS hints to optimize above-the-fold rendering performance.
Recommends appropriate XML sitemap change frequency values for a given page or content description
Returns a hint or guidance about German income tax brackets based on input text describing a financial situation
Validates and checks Apache .htaccess configuration file content for correctness
Equalizes the lengths of paragraphs in a given text, producing uniformly sized paragraph blocks
Formats and processes a plain text string into structured XML output
Proxies text input to a Perplexity-based AI model and returns a processed estimation result
Generates an MCP (Model Context Protocol) wrapper configuration or code from a text description of a tool or service
Processes a text passage and a question to return an optimized featured snippet answer for AI, side hustle, or digital income content
Checks German-language text for compliance with emoji usage policies
Computes word embedding similarity for a given text string via a proxy API, returning a processed similarity result.
Checks text for anchor target attributes or link-related properties and returns a processed validation result
Generates a structured course schema from a given URL, course name, and provider name
Converts a numeric value from one unit of measurement to another
Analyzes HTML content and returns a mobile usability assessment indicating whether the page is mobile-friendly
Generates a sitelinks searchbox structured data snippet for a given website URL and query parameter
Cleans and processes URL query parameters submitted as a key-value object, returning a sanitized result
Scans submitted text for secrets, sensitive data, or similar patterns using a lightweight detection pass
Generates a user-agent string from a given text input via a paid API endpoint
Reduces input text to its morphological stem forms using a lightweight stemming algorithm
Calculates business days based on a text input describing a date range or working-day query
Normalizes and standardizes date strings from free-text input into a consistent structured format
Formats and beautifies raw SQL query text into a clean, readable structure
Lints and validates Ansible playbook text for syntax and best-practice errors, returning a lightweight validation result.
Estimates the liquidation price for a leveraged position based on provided text input describing position parameters
Sanitizes and processes raw SQL strings to remove or neutralize potentially dangerous or malformed input
Analyzes text to produce an EEAT (Experience, Expertise, Authoritativeness, Trustworthiness) author signal score for content quality assessment
Analyzes input text and detects the emotional tone or sentiment expressed within it
Validates an incoming webhook payload against a set of required fields and returns a processed/success status
Scans German-language text for data privacy (Datenschutz) related keywords and terms
Analyzes text to extract or score E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) author signals from content
Extracts or validates German commercial register (Handelsregister) patterns from text input
Estimates Ethereum gas fees based on base fee, gas limit, and priority fee inputs, returning a computed result.
Scans German-language text for Widerruf (right of withdrawal/revocation) related keywords and compliance signals
Merges two JSON objects (json_a and json_b) into a single combined JSON result
Checks submitted text against a style guide and returns a validation result
Generates analogies from input text to explain or reframe concepts using comparative language
Normalizes and standardizes numbered lists in text input, returning a cleaned, consistently formatted result
Analyzes a JSON-LD object and returns a processed graph analysis result
Performs a deep merge of two JSON configuration objects, combining a base config with an overlay config and returning the merged result.
Processes a text passage and a question to extract or generate a featured-snippet-optimized answer for SEO and content discovery purposes
Normalizes and standardizes numbered lists within a given text string
Transforms CSV text data into a pivot table by aggregating values across specified row and column dimensions
Calculates sitemap priority scores for web content based on input text, helping SEO-focused content publishers optimize their sitemap configuration.
Generates a DSGVO (German GDPR) legal template document by processing submitted text input
Extracts and processes text content from PDF documents via a lightweight API endpoint
Verifies an Ed25519 digital signature for a given text input, returning a lightweight pass/fail result
Parses and processes a given URL, returning structured result and status information
Normalizes German gendered language (Gendersternchen, gender gap notation) in text to a standardized or neutral form
Normalizes and standardizes numbered lists in text input, returning a processed, consistently formatted result
Prepares and processes text for fact-checking by analyzing submitted content and returning a structured result
Parses and extracts structured information from changelog text submitted as a string