All Services

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

Estimates the crawl budget required for a website given its page count, average crawl depth, and update frequency

Extracts data from HTML or text content using CSS selectors

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

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

Calculates the price slippage impact of a trade given trade size and pool liquidity

Generates a sequence of Fibonacci numbers up to a specified count

Analyzes text input to generate or evaluate SEO-friendly alt tags for images

Analyzes sentiment toward a specific keyword or aspect within a given text, returning a processed sentiment result.

Parses the content of a .env file and returns structured key-value data extracted from it

Encodes input text into Base32 format and returns the encoded result

Detects negation in a given text string and returns a processed result indicating whether negation was found

Extracts and parses the heading hierarchy (H1–H6 structure) from raw HTML content

Generates a cryptographic hash of a given text string using a specified algorithm

Analyzes a text against a set of required topics to identify missing or underrepresented content areas

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

Calculates calorie needs or nutritional estimates based on user age, gender, height, and weight

Generates a structured software application schema (e.g. schema.org SoftwareApplication markup) from a given app name, URL, OS, and price.

Expands or resolves acronyms found in a given text string into their full forms

Scores the technical density of a given text, measuring how technically complex or information-dense the content is.

Computes a Volume-Weighted Average Price (VWAP) estimate from an array of trade data objects

Validates a JSON string against a provided JSON schema and returns a pass/fail result

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

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

Corrects and improves grammar in submitted text using a lightweight processing pipeline

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

Generates ERC-20 token transfer calldata for a given recipient address and amount, enabling on-chain token transfers.

Generates a structured organization schema (likely JSON-LD or similar) for a given organization, based on its URL, logo, and name

Generates an XML sitemap from a list of URLs with configurable priority and change frequency settings

Splits a text string into smaller chunks of a specified size for downstream processing

Scores a block of text for E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) quality signals

Calculates Fibonacci retracement levels given a price range low and high, returning key support/resistance price levels for technical analysis.

Analyzes a text passage and computes the ratio of first-person language usage within it

Extracts CSS custom properties (variables) from a given text or stylesheet string

Sanitizes and processes a raw SQL string to prevent injection and malicious input before execution

Converts raw RSS feed XML text into structured JSON format for programmatic consumption

Analyzes input text to determine its degree of subjectivity versus objectivity

Encodes a text string using the Metaphone phonetic algorithm, returning its phonetic representation

Extracts URL parameters from a given text string

Analyzes input text and identifies redundant or repetitive phrases within it

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

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

Merges two .env configuration strings (primary and secondary) into a single combined output

Converts a text string into ASCII art representation

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

Computes word or text embedding similarity by proxying a text input through a vector embedding model and returning a similarity result

Calculates a lead score based on user engagement signals such as page views, email clicks, and form submissions

Generates analogies or comparative explanations from a given input text

Generates a nanoid (compact, URL-safe unique identifier) via a POST request

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

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

Minifies and compresses a JSON-LD structured data object into a compact representation suitable for embedding in web pages.

Extracts prompt templates from input text, identifying reusable AI prompt structures

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

Simplifies AI, automation, and digital-income jargon in a submitted text into plain, accessible language

Analyzes sentiment for specific keywords within a given text, returning a per-keyword sentiment breakdown

Analyzes DNS TXT and SPF records for a given domain or text input, returning structured validation results

Validates a blockchain transaction hash and returns its processing status

Converts a block of text into a concise, optimized list of bullet points with a configurable maximum number of items

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

Extracts and cleans quotes from a given text input, returning structured parsed quote content

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

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

Converts a named tool definition with parameters and description into a standardized MCP (Model Context Protocol) schema format

Verifies an Ed25519 digital signature for a given text input and returns a pass/fail result.

Validates an HTML string and returns a processed result indicating whether the markup is well-formed or has errors

Validates a blockchain transaction hash and returns its processed/success status

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

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

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

Computes a SHA-1 hash of a given input text string and returns the hex digest

Scores the grammatical quality of a given text string and returns a result with a success status

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

Flattens a nested array into a single-level (flat) array via a paid API call

Extracts factual claims from a given text input and returns structured results

Merges two JSON objects into a single combined result

Analyzes text to determine sentiment polarity toward a specific aspect or keyword

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

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

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

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

Encodes or decodes a string using the ROT13 Caesar cipher substitution algorithm

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

Analyzes text to compute the ratio of internal links, scoring content for SEO and internal linking health.

Generates an advanced robots.txt file based on provided text input, controlling crawler and bot access rules for a website.

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

Sanitizes or normalizes a filename by cleaning its file extension

Constructs a fully-formed URL with query parameters by merging a base URL with a params object

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

Extracts claims or key assertions from a given text input

Fetches X.com (Twitter) data or performs X.com-related operations via a paid proxy endpoint on the KiteEndpoints Mega API Hub

Fetches or interacts with Instagram social media data via a paid proxy endpoint on the KiteEndpoints.ai hub

Fetches weather data via the DataNest weather endpoint on the KiteEndpoints.ai mega API hub, paid per request with USDC on Base chain

Sends a message to an AI chat endpoint hosted on the KiteEndpoints.ai Mega API Hub, returning a conversational AI-generated response.

Generates AI-powered overview summaries via a mega API hub supporting 400+ endpoints across social media, AI, crypto, finance, weather, and ecommerce.

Returns current weather data or forecasts for a given location via a pay-per-request USDC-based hub endpoint

Fetches or retrieves Instagram media data via a paid proxy endpoint on the KiteEndpoints.ai hub

Validates whether a phone number is registered on WhatsApp and returns its status

Provides data or actions related to TON blockchain Fragment marketplace via a pay-per-request endpoint on Base chain

Generates a Discord server shield/badge image or metadata for embedding in READMEs and websites