All Services

Analyzes a text and returns the ratio of first-person pronouns or statements it contains

Generates a structured how-to schema from a named guide title and a list of steps

Generates an HTTP Strict-Transport-Security (HSTS) header value given a max-age duration and optional subdomain inclusion flag

Computes a lightweight semantic similarity score between two input text strings

Converts plain English text to Pig Latin (or decodes Pig Latin back to English)

Detects anomalies in a sliding window of numeric values using a configurable threshold

Analyzes text to detect whether it contains clickbait language or tactics

Scores a URL's indexation signals based on its URL, robots.txt content, and canonical tag to assess search engine indexability.

Generates Twitter (X) card metadata or preview content from a URL, title, and body content

Equalizes or normalizes paragraph lengths within a given text input

Compares two JSON schemas and returns the structural differences between them

Analyzes and ranks the linguistic complexity of a given text passage, returning a complexity assessment score or label.

Calculates estimated daily calorie needs based on age, gender, height, and weight

Calculates a lead quality score from website engagement signals (page views, email clicks, form submissions)

Audits text content for local SEO quality and optimization signals, returning a structured result with status

Extracts structured data from HTML text using CSS selectors

Analyzes a text string and returns the ratio of second-person pronouns (you, your, yours, yourself) relative to total words or sentences

Splits a given prompt text into multiple segments up to a specified maximum count

Analyzes input text to determine its degree of subjectivity versus objectivity

Generates a structured software application schema (e.g. JSON-LD SoftwareApplication schema) given basic app metadata like name, URL, OS, and price.

Extracts prompt templates from a given text input, returning structured template patterns suitable for AI workflows

Normalizes or removes gender-gap notation (Gendersternchen, Doppelpunkt, Binnen-I, etc.) from German text input

Merges a base Helm values object with an override object, producing a combined configuration result

Analyzes input text to determine its degree of subjectivity versus objectivity

Detects and analyzes German legal disclaimer language in text, identifying legally required notices and compliance-relevant clauses

Validates and checks rel attributes (prev/next) in pagination links across a set of pages

Analyzes an HTML document and returns a hint for which CSS is critical (above-the-fold) to improve page load performance.

Generates structured software application schema markup (likely schema.org SoftwareApplication JSON-LD) from basic app metadata inputs

Hashes a plaintext string using the bcrypt algorithm and returns the resulting hash

Scores a URL's indexation signals (robots.txt, canonical tags) to assess its search-engine crawlability and indexability status.

Analyzes text to detect and identify call-to-action (CTA) elements within it

Normalizes and standardizes numbered list formatting within a given text string

Estimates Ethereum gas fees based on provided base fee, gas limit, and priority fee inputs, returning a computed cost result.

Rewrites and paraphrases input text in a specified tone using an AI-powered rewriting engine

Computes the Pearson correlation coefficient between two datasets submitted as JSON

Validates and checks a phone number string for correctness and formatting.

Computes a lexical diversity index score for a given text input, measuring vocabulary richness and word variety

Applies a JSON Patch (RFC 6902) array of operations to a JSON document and returns the patched result

Computes a readability grade score for a given text input

Detects orphan pages on a website by analyzing a list of links and pages to identify pages that are not linked to from any other page

Generates .htaccess redirect rules from plain-text input describing redirect requirements

Computes a lightweight semantic similarity score between two input text strings

Analyzes text and scores it for certainty or confidence-level language, identifying hedging, assertiveness, and conviction patterns.

Converts plain text to Pig Latin or decodes Pig Latin back to plain text

Generates a German-language legal Impressum (imprint) template for websites, as required by German law

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

Analyzes the proximity (closeness) of two specified keywords within a given text passage

Parses and processes ASCII-armored PGP/GPG text blocks, extracting structured data from armored cryptographic content

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

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

Analyzes the tone of a given text and returns a processed result indicating the detected tone or sentiment.

Analyzes a text string and returns a classification indicating whether it was likely written by a human or generated by an AI model.

Counts hapax legomena (words that appear exactly once) in a given text input

Validates a TOTP (Time-based One-Time Password) secret string for correctness and format compliance

Generates a software or content license document given a year, holder name, and license type

Runs a lightweight Monte Carlo simulation on a given text input and returns a processed result

Converts a content title string into a URL-friendly slug for use in web publishing and CMS workflows

Compresses or shortens input text, likely to reduce token count for use in LLM prompts

Scores the freshness of content based on its type and last-updated date, returning a freshness assessment result

Validates German postal codes (PLZ) from free-text input and returns a structured result indicating whether the code is valid

Analyzes the sentiment of specific keywords within a given text, returning a sentiment mapping per keyword

Analyzes a piece of text and returns an estimated persuasion score indicating how persuasive or compelling the content is.

Checks whether named entities mentioned in a text are used consistently and correctly throughout the content.

Analyzes a block of text and returns a measure of how densely packed it is with acronyms

Cleans and sanitizes URL query parameters by removing or normalizing unwanted, redundant, or tracking-related entries from a parameter object.

Analyzes sentiment for specific keywords within a given text, returning a sentiment matrix mapping each keyword to its emotional tone

Transforms CSV text data into a pivot table by aggregating rows and columns around specified keys and values

Generates a sitemap index XML structure by processing an array of individual sitemap URLs into a consolidated sitemap index

Formats and beautifies raw SQL query text into clean, readable SQL

Analyzes text to detect the presence and type of call-to-action (CTA) elements within it

Analyzes HTML markup and predicts which element will be the Largest Contentful Paint (LCP) element for web performance optimization.

Proxies text input through a Perplexity-style AI search/estimation pipeline and returns a processed result

Generates a structured local business schema (likely Schema.org LocalBusiness JSON-LD) from business name, phone, and address details

Scores a URL's indexation signals based on its URL, robots.txt content, and canonical tag to assess crawlability and search engine discoverability.

Analyzes a text string and detects passive voice constructions within it

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

Analyzes and ranks text by sentence complexity, returning a complexity assessment for the provided input text.

Detects and analyzes German legal disclaimer language in a given text, returning a classification result

Validates or extracts German Steuernummer (tax number) patterns from input text

Resolves a JSON Pointer expression against a provided JSON document and returns the value at the specified path

Computes Fibonacci retracement levels given a price range low and high value

Generates structured how-to schema markup from a name and list of steps for SEO and content publishing purposes

Computes the textual difference between two input strings and returns a structured result

Calculates the percentage of a given value and returns the numeric result

Performs a deep equality comparison between two JSON values and returns whether they are equal

Resolves a JSON Pointer expression against a provided JSON document and returns the referenced value

Semantically compresses input text/prompts to reduce token usage while preserving meaning

Generates a search engine result page (SERP) preview snippet from a title, keywords, and description for SEO optimization

Merges two Helm chart values objects (base and override) into a single merged configuration object

Generates ERC-20 token transfer calldata for a given recipient address and amount, returning encoded transaction data ready for on-chain submission.

Generates a structured LocalBusiness schema for a given business name, phone number, and address details

Bins an array of numeric values into a specified number of histogram buckets and returns the binned distribution as JSON.

Generates or processes a German-language privacy policy (Datenschutz) legal template for websites or digital products

Suggests transition phrases for a given text to improve flow and readability

Detects and identifies legal disclaimer language in German text, flagging compliance-relevant disclosures

Computes the ratio of second-person language (you/your/yourself) in a given text, returning a quantified measure of how directly the text addresses the reader.

Calculates the applicable discount tier and final price given quantity, unit price, and a set of pricing tiers

Estimates the rendered pixel width of an HTML title tag string for SEO optimization purposes

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

Compares two JSON schemas and returns a structured diff highlighting their differences