Help me set up Zero — a free tool that lets you find and use extra services you don't have built in (image/video generation, search live social media, or hosting a free webpage). …To setup manually, read Installation Guides
Generates an XML sitemap from a provided list of URLs with configurable priority and change frequency settings
Computes a lead quality score from visitor behavioral signals including page views, email clicks, and form submissions
Extracts information from a PEM-encoded Certificate Signing Request (CSR) text input
Runs a lightweight Monte Carlo simulation on a given text input and returns a processed result
Applies a JSON Patch (RFC 6902) array of operations to a JSON document and returns the patched result
Checks and corrects spelling errors in a submitted text string, returning a processed result.
Generates .htaccess redirect rules from plain-text input describing redirect requirements
Generates Twitter (X) card metadata or preview content from a URL, title, and body content
Scores text content for E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) quality signals
Computes a Volume-Weighted Average Price (VWAP) estimate from an array of trade data objects
Validates a TOTP (Time-based One-Time Password) secret string for correctness and format compliance
Calculates loan repayment details given a principal amount, annual interest rate, and loan duration in years
Generates structured article schema markup (likely JSON-LD/Schema.org) for a given article URL, author, headline, and publication date
Calculates the percentage return for a HODL (hold) period given a start price and end price of an asset
Normalizes and standardizes numbered list formatting within a given text string
Generates a structured LocalBusiness schema for a given business name, phone number, and address details
Computes the textual difference between two input strings and returns a structured result
Generates or processes a German-language privacy policy (Datenschutz) legal template for websites or digital products
Computes and compares return-on-investment projections across multiple side-hustle or AI-automation investment scenarios given a starting capital amount.
Generates OpenGraph metadata tags from a URL, title, and content for social media sharing previews
Extracts prompt templates from input text, identifying reusable AI prompt structures
Analyzes text input to generate or evaluate alt tags for images, supporting SEO and accessibility workflows.
Computes the number of r-permutations of n elements (nPr) given integers n and r
Counts the number of tokens in a given text string
Converts text between grammatical gender forms (e.g. masculine/feminine/neutral) based on a specified mode
Analyzes whether a list of article headings are well-aligned with a target SEO keyword
Analyzes how close two specified keywords are to each other within a given text, returning a proximity result.
Generates a structured local business schema (likely Schema.org LocalBusiness JSON-LD) from business name, phone, and address details
Filters rows from a CSV text input based on a specified column name and condition value, returning only matching rows.
Extracts and parses the heading hierarchy (H1–H6 structure) from raw HTML content
Estimates German Gewerbesteuer (trade tax) liability based on a text description of business income or trade details
Scores a given AI-generated text or prompt for hallucination risk, returning a risk assessment result
Converts plain text to Pig Latin or decodes Pig Latin back to plain text
Generates an MCP (Model Context Protocol) server manifest from a provided server name and list of tools
Computes a lexical diversity index score for a given text input, measuring vocabulary richness and word variety
Simplifies AI, automation, and digital-income jargon in a submitted text into plain, accessible language
Compares two JSON schemas and returns the structural differences between them
Analyzes the sentiment of a given text string and returns a sentiment score
Analyzes the tone of a given text and returns a tone classification result
Scores a block of text for E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) quality signals
Validates a JSON data string against a provided JSON schema and returns a pass/fail result
Calculates a lead score based on user engagement signals such as page views, email clicks, and form submissions
Validates a Schema.org JSON-LD object for correctness and returns a processed status result
Audits text content to identify external links that are missing nofollow attributes, flagging SEO compliance issues for affiliate and outbound links.
Scores a URL's indexation signals (robots.txt, canonical tags) to assess its search-engine crawlability and indexability status.
Formats and beautifies raw SQL query text into clean, readable SQL
Performs a deep equality comparison between two JSON values and returns whether they are structurally and semantically identical
Calculates the applicable discount tier and final price given quantity, unit price, and a set of pricing tiers
Semantically compresses input text/prompts to reduce token usage while preserving meaning
Scores a block of text for its technical density, returning a numeric assessment of how technically complex or information-rich the content is.
Rewrites or adjusts input text to match a specified target tone
Extracts URL parameters from a given text string
Generates a German-language legal Impressum (imprint) template for websites, compliant with German legal requirements
Scores a given text for its technical density, returning a numeric assessment of how technically complex or information-dense the content is.
Extracts factual claims from a given text input
Converts a named tool definition with parameters and description into a standardized MCP (Model Context Protocol) schema format
Generates environment variable template files or configurations from a text description or specification
Converts a text string into ASCII art representation
Validates an HTML string and returns a processed result indicating whether the markup is well-formed or has errors
Computes a readability grade score for a given text input
Generates a structured person schema (e.g. Schema.org Person markup) from a URL, name, and job title
Analyzes the proximity (closeness) of two specified keywords within a given text passage
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
Flattens nested JSON structures by resolving dot-notation paths into a flat key-value representation
Estimates the cost of running an AI agent workflow based on a text description of the task or process
Generates or processes German-language AGB (Allgemeine Geschäftsbedingungen / Terms of Service) legal template documents for digital businesses
Estimates the crawl budget required for a website given its page count, average crawl depth, and update frequency
Applies a regex pattern to input text and returns the matched results
Generates structured how-to schema markup from a named process and its ordered steps
Resolves a JSON Pointer (RFC 6901) expression against a provided JSON document and returns the value at that path
Analyzes and ranks the linguistic complexity of a given text passage
Generates a search engine results page (SERP) preview snippet from a title, keywords, and meta description
Analyzes text input to generate or evaluate SEO-optimized alt tags for images
Generates a search engine result page (SERP) preview snippet from a title, keywords, and description for SEO optimization
Converts free-text property descriptions into structured JSON output
Formats and beautifies raw SQL query text into clean, readable SQL
Detects anomalies in a sliding window of numeric values using a configurable threshold
Converts a text string into ASCII art representation
Computes a lexical diversity index score for a given text input
Validates and processes phone number strings, returning a structured result indicating whether the input is a valid phone number.
Generates one or more UUIDs, optionally with a custom prefix, and returns them as a structured JSON response.
Generates structured how-to schema markup from a name and a list of steps
Analyzes input text and detects the emotional tone or sentiment expressed within it
Estimates the strength of a given passphrase or password string and returns an assessment of its security quality.
Encodes a string input into its Base64 representation
Performs a DNS lookup for a given domain name and returns the resolved result
Splits a JSON array into smaller chunks of a specified size and returns the chunked result
Rewrites or adapts input text to match a specified target tone
Calculates German 19% VAT (Umsatzsteuer) amounts from a given text or numeric input
Validates a JSON string against a provided JSON schema and returns a pass/fail result
Detects and validates German commercial register (Handelsregister) number patterns in text strings
Computes a token vesting schedule given total token amount, vesting duration, and cliff period
Analyzes how close two specified words appear to each other within a given text body
Splits a single prompt string into multiple ordered segments, up to a specified maximum number of parts
Analyzes the tone of a given text and returns a processed result indicating the detected tone or sentiment.
Extracts structured data from HTML text using CSS selectors
Simplifies AI, automation, and digital-income jargon-heavy text into plain language
Analyzes input text to determine its degree of subjectivity versus objectivity
Analyzes and ranks text by sentence complexity, returning a complexity assessment for the provided input text.
Analyzes a piece of text and determines whether it contains clickbait characteristics