All Services

Identifies and clips outlier values from a numeric array, returning up to k outliers

Computes the directional bearing between two geographic points

Calculates sitemap priority scores for web content based on input text, helping SEO-focused content publishers optimize their sitemap configuration.

Generates a user-agent string from a given text input via a paid API endpoint

Sanitizes and processes GraphQL query strings to remove or neutralize potentially harmful or malformed content

Analyzes a given text to determine its subjectivity — distinguishing objective statements from subjective opinions or sentiment-laden language

Checks submitted text against a style guide and returns a validation result indicating whether the content passes or fails style rules

Converts a numeric value from one unit of measurement to another

Extracts and cleans quotes from a block of input text, returning structured quote results

Scans submitted text for secrets, sensitive data, or undisclosed content using a lightweight detection pipeline

Scores the freshness of a piece of content based on its type and last-updated date

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

Generates a structured product schema entry from basic product details such as name, price, currency, and stock status

Extracts or validates German commercial register (Handelsregister) patterns from text input

Converts a numeric value from one unit of measurement to another

Formats and processes a unified diff patch string, returning a normalized or processed diff result.

Validates whether a content article meets Google Discover eligibility criteria based on news classification, content freshness, and image size requirements

Computes the difference between two text inputs and returns a processed diff result

Extracts or validates German Handelsregister (commercial register) patterns from free-form text

Computes the median absolute deviation (MAD) of a numeric dataset submitted as JSON

Analyzes text to extract or score E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) author signals from content

Analyzes HTML markup to audit image lazy-loading implementation and report issues

Converts XML-formatted data into YAML format via a POST request

Audits text for external links and checks whether they carry proper nofollow attributes, returning a processed result indicating compliance status.

Checks German-language text against emoji usage policies and returns a compliance result

Scores a piece of text for self-reflection quality, returning a structured result

Coerces and normalizes JSON field types within an arbitrary object payload, returning a processed result with corrected types.

Decodes and parses a JWT (JSON Web Token) to extract its header, payload, and claims without verifying the signature

Recommends XML sitemap change-frequency values for web pages based on submitted text content

Splits and distributes a token budget across segments of a given text prompt for controlled LLM usage

Validates a webhook payload object against a set of required fields and returns a success/failure result

Processes text input to generate or handle German-language legal template content for newsletter contexts

Checks submitted text for spelling errors and returns a processed result indicating success

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

Checks German-language text for compliance with emoji usage policies

Scores the grammatical quality of a submitted text string and returns a result indicating correctness

Processes a text passage and a question to extract or generate a featured-snippet-optimized answer for SEO and content discovery purposes

Merges two JSON objects (json_a and json_b) into a single combined JSON result

Extracts prompt templates from a given text input, returning structured prompt components for AI workflows

Infers an advanced JSON schema from a set of sample data objects submitted by the caller

Checks whether an Open Graph image meets standard aspect ratio requirements for social media sharing

Detects whether submitted text is gibberish or meaningful content

Parses and processes MCP (Model Context Protocol) tool definitions or related text into structured, actionable results

Extracts and processes text content from PDF documents submitted as text input, returning a processed result

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

Calculates sitemap priority scores for web page content submitted as text

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

Encodes or selects smart contract function selectors from a given text input

Analyzes text to generate EEAT (Experience, Expertise, Authoritativeness, Trustworthiness) author quality signals for content evaluation

Proxies text input to a Perplexity-based AI model and returns a processed estimation result

Validates Avro schema definitions provided as text and returns a processed validation result

Analyzes text to compute the ratio of first-person language usage within a given input

Recommends appropriate XML sitemap change frequency values for a given page or content description

Estimates the cost of running an AI agent or automation workflow based on a text description of the task

Generates few-shot prompt examples for AI, automation, and side hustle topics using a POST API

Splits and allocates a token budget across segments of a given prompt text to optimize LLM usage costs

Recommends appropriate XML sitemap change frequency values for given text or URL content descriptions

Generates a speakable/structured spec from a given URL and optional CSS selectors, extracting content in a machine-readable format

Detects whether a given text is written in the imperative mood

Computes the directional bearing between two geographic points

Parses a PEM-encoded RSA key and returns extracted metadata and structural information about the keypair

Formats and processes a plain text string into structured XML output

Optimizes a prompt chain by processing a claim through a specified number of reasoning steps

Validates hreflang tag markup in HTML or text content to check for internationalization and multilingual SEO correctness

Merges a JSON payload object with a defaults object, replacing null or missing values with corresponding defaults

Validates and checks Apache .htaccess configuration file content for correctness

Converts a numeric temperature value from one unit to another (e.g., Celsius to Fahrenheit)

Cleans and processes URL query parameters submitted as a key-value object, returning a sanitized result

Calculates sales tax for a given amount and tax rate, returning the computed tax result

Generates a structured course schema from a given URL, name, and provider for online learning content

Calculates the maximum drawdown metric from a given text or data input, returning a processed financial risk result

Analyzes a JSON-LD object and returns a processed graph result with structured extraction or validation output.

Calculates business days given a text-based date or duration input, returning a processed result

Checks submitted text against a style guide and returns a validation result

Parses and processes MCP (Model Context Protocol) tool definitions or tool-related text submitted as a string

Normalizes and standardizes date strings from free-text input into a consistent structured format

Checks and returns the pixel dimensions (width and height) of an image submitted as data with a filename

Computes a correlation matrix from submitted datasets to reveal statistical relationships between variables

Estimates a persuasion score for given content, measuring how persuasive or compelling the input text or material is likely to be.

Validates whether a given text string complies with specified structural constraints such as minimum length, prefix, and suffix requirements.

Generates an MCP (Model Context Protocol) wrapper configuration or code from a text description of a tool or service

Detects and validates German commercial register (Handelsregister) patterns in text input

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

Analyzes and optimizes the length of a meta description text for SEO best practices

Parses and processes a submitted URL, returning a structured result indicating processing status

Lints and validates Ansible playbook YAML text, returning a lightweight analysis of syntax and structural issues.

Scores German text for formal tone, indicating how formal or informal the writing style is

Simplifies AI, automation, and side-hustle jargon into plain, accessible language

Generates one or more prefixed trace IDs for use in request tracking, logging, or distributed system correlation

Transforms CSV text data into a pivot table by aggregating values across specified row and column dimensions

Prepares and processes text for fact-checking by analyzing submitted content and returning a structured result

Detects prompt injection attacks in text inputs, returning a result and status indicating whether an injection attempt was found.

Scores the grammatical quality of a submitted text string and returns a result

Converts image data to or from Base64 encoding format

Adjusts monetary amounts or text containing financial figures for inflation, returning inflation-adjusted values.

Validates or checks a Twitter/X card image by verifying its dimensions against specified width and height requirements

Checks and validates redirect behavior of a given URL or text input, returning a processed result with status

Analyzes a JSON-LD object and returns a processed graph analysis result

Parses and extracts structured information from changelog text, returning a processed result