All Services

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

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

Summarizes and compresses multi-turn conversation history into a concise memory representation for AI agents

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

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

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

Calculates the entropy (randomness/strength) of a given password or text string

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

Estimates the strength of a passphrase or password text string and returns a strength assessment

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

Parses and decodes ASCII-armored PGP/GPG text blocks into structured data

Scores a given text for its likelihood of containing AI hallucinations or fabricated content

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

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

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

Semantically compresses a text prompt to reduce token usage while preserving meaning

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

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

Computes the effective annual interest rate from a nominal rate and compounding frequency

Simplifies AI, automation, and digital-income jargon-heavy text into plain language

Validates whether a given text string meets specified compliance rules such as prefix, suffix, and minimum length constraints.

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

Validates a Schema.org JSON-LD object for structural correctness and compliance against Schema.org specifications

Analyzes a text string and detects passive voice constructions within it

Packs and processes text into an optimized context window up to a specified token limit

Analyzes input text and identifies redundant or repetitive phrases within it

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

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

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

Minifies and compresses a JSON string by removing whitespace and unnecessary formatting

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

Transforms input text by applying ROT13 cipher encoding/decoding

Packs and processes text to fit within a specified token limit for use in AI context windows

Computes the ANOVA F-statistic across multiple groups of numeric data to test for statistically significant differences between group means.

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

Computes and compares return-on-investment projections across multiple side-hustle or AI-automation investment scenarios given a starting capital amount.

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

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

Extracts information from a PEM-encoded Certificate Signing Request (CSR) text input

Looks up the MIME type for a given filename based on its extension

Analyzes a text passage and computes the ratio of second-person pronouns (you, your, yours, yourself) relative to the total text, returning a numerical measure of how directly the text addresses the reader.

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

Validates and checks whether a given text string is a valid URL slug format

Expands acronyms found in a text string into their full forms

Generates structured FAQ schema markup (JSON-LD or similar) from a list of question-answer pairs for SEO and content publishing purposes.

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

Analyzes HTTP header text and returns a security score indicating how well the headers conform to security best practices

Analyzes how close two specified keywords are to each other within a given text, returning a proximity result.

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

Calculates loan repayment details given a principal amount, annual interest rate, and loan duration in years

Validates whether a given text string conforms to semantic versioning (semver) format

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

Estimates the strength of a given passphrase or password text and returns a strength assessment result.

Parses a PEM-encoded certificate and extracts structured information from it

Encodes a string input into its Base64 representation

Calculates the entropy (strength/randomness) of a given text string as a password

Converts free-text property descriptions into structured JSON output

Detects whether a given text string is gibberish or meaningful human language

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

Computes a lexical diversity index score for a given text input

Validates whether a given phone number string is correctly formatted and potentially active

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

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

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

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

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

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

Generates a diff or patch between two text strings, returning the computed difference result

Generates environment variable template files from a text description of a project or tool stack

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

Scores the topical authority of a given topic based on coverage terms and supporting page count

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

Identifies and flags redundant or repetitive phrases within a given text input

Generates one or more UUIDs, optionally with a custom prefix, returning results as JSON

Analyzes a piece of text and determines whether it contains clickbait characteristics

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

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

Checks whether a list of specified terms are used consistently throughout a given text

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

Compares two CSV strings and returns a diff result indicating the differences between them

Analyzes text to compute the frequency of n-grams (contiguous sequences of n words or characters) within the input string.

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

Extracts content from HTML text using CSS selectors, returning matched elements or data.

Suggests transition phrases for a given text, likely to improve flow or readability in content about AI, automation, or side hustles

Generates structured article schema markup (JSON-LD/schema.org) for blog posts and articles published on the KiHustle platform

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

Extracts URL parameters from a given text string

Performs a DNS lookup for a given domain name and returns the resolved result

Calculates the final price after applying a discount percentage and VAT rate to a given base price

Generates environment variable template files or configurations from a text description or specification

Extracts factual claims from a given text input

Calculates the geographic distance between two coordinate pairs (lat/lon points)

Encrypts plaintext using AES with a password, returning an encrypted result payload

Parses a PEM-encoded certificate and extracts structured metadata fields from it

Generates a search engine results page (SERP) preview snippet from a title, keywords, and meta description

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

Analyzes a text string and returns a sentiment score indicating the emotional polarity of the content

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

Converts or transforms text by applying gender-specific language modifications based on a specified mode

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