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 a URL-friendly slug from a given article or page title
Computes percentile values for a given array of numbers at specified percentile thresholds
Compares two text strings using Soundex phonetic matching to determine whether they sound alike
Computes the percentage change between two numeric values (old and new)
Renames keys in a JSON object according to a provided key mapping
Checks the color contrast ratio between a foreground and background color pair for accessibility compliance
Generates an HMAC-SHA256 hash from a given text and secret key
Calculates the next scheduled run times for a given cron expression
Performs a Mann-Whitney U non-parametric statistical test comparing two independent numeric groups to determine if they come from the same distribution.
Minifies HTML markup by removing unnecessary whitespace and redundant characters to reduce payload size
Computes the RIPEMD-160 cryptographic hash of an input text string
Analyzes text content to detect keyword cannibalization issues where multiple pages compete for the same search terms
Computes a SHA-512 cryptographic hash of a given input text string
Computes EBITDA from operating revenue, operating expenses, depreciation, and amortization inputs
Validates whether a given string is a valid Bech32-encoded address (e.g. Bitcoin SegWit or similar blockchain addresses)
Decrypts AES-encrypted ciphertext using a provided password and returns the plaintext result
Converts a block of text into a condensed, optimized list of bullet points with a configurable maximum item count
Minifies a JSON string by removing unnecessary whitespace and formatting to reduce its size
Converts a Markdown-formatted text string into HTML via a POST request, returning the rendered HTML result.
Calculates the percentage return for a HODL (hold) period given a start price and end price of an asset
Computes historical Value at Risk (VaR) for a portfolio or asset given a series of returns and a confidence level
Repairs and normalizes malformed or broken JSON text submitted as a string, returning a valid, corrected JSON result
Computes the binomial probability P(X=k) given number of trials n, successes k, and probability p
Estimates the rendered pixel width of an HTML title tag string for SEO optimization purposes
Computes the number of combinations (n choose k) for given integer inputs n and k
Computes the number of combinations (n choose k) given two integers n and k
Generates structured job posting schema markup from basic job details like title, company, location, and description
Calculates customer churn rate given the number of lost customers and starting customer count for a given period
Computes the Net Promoter Score (NPS) from counts of promoters, passives, and detractors
Encodes or decodes text using a Caesar cipher with a configurable rotation shift
Computes percentile values from a numeric array for one or more specified percentile thresholds
Checks the color contrast ratio between a foreground and background color pair for accessibility compliance
Computes the Adler-32 checksum of a given text string
Computes a RIPEMD-160 cryptographic hash of a given input string
Generates domain name suggestions based on a text description or concept input
Computes a simple moving average over an array of numeric values using a specified window size
Decodes a QR code from a base64-encoded image and returns the embedded data
Converts a YAML-formatted string into a JSON object via a simple POST request
Converts a CSS hex color code into its RGB component values
Generates a regular expression pattern from a natural language description or example string
Converts a given time (hour and minute) from one timezone to another, returning the converted time as a result.
Generates a German-language privacy policy (Datenschutz) legal template for websites or digital products operating under German/EU law.
Derives a cryptographic key from a password and salt using the scrypt key derivation function with configurable parameters
Encodes plain text to Base32 format or decodes Base32-encoded strings back to plain text
Computes a RIPEMD-160 cryptographic hash of an input text string
Normalizes German phone numbers from free-form text into a standardized format
Summarizes a given block of text to a specified maximum word count
Converts a flat JSON object into a nested (hierarchical) JSON structure
Computes the number of combinations C(n, k) — choosing k items from n without regard to order
Fetches product, pricing, review, or listing data from Amazon via a paid per-request proxy endpoint
Fetches social media profile links and metadata associated with a given website URL
Fetches cryptocurrency market data from CoinGecko via a pay-per-request proxy, returning price, volume, and market cap information for crypto assets.
Provides AI-driven match outcome predictions for football (soccer) games, returning probability scores and forecasts for upcoming fixtures
Retrieves comprehensive Shopee e-commerce data in a single call, covering product listings, pricing, reviews, and shop information.
Returns AI-generated football match predictions for today's games, including likely outcomes and tips
Fetches cryptocurrency rankings, prices, and market data via the Coinranking API through the KiteEndpoints mega hub
Analyzes a website URL to extract intelligence, insights, and structured data about the site's content, technology, and characteristics
Fetches real-time news articles and headlines on demand via a pay-per-request API
Bulk scrapes LinkedIn profiles, posts, or company data and returns structured results
Detects whether a given piece of text was generated by AI or written by a human
Scrapes TikTok content data such as videos, user profiles, or trending posts via a paid API endpoint on Base chain
Fetches current trending topics on Twitter/X, returning real-time trend data for social media monitoring and analysis.
Fetches financial data from Yahoo Finance, such as stock quotes, historical prices, or market information, via a pay-per-request API.
Retrieves local business data including details, reviews, and listings for businesses by location or query
Analyzes a text input and returns statistical metrics such as word count, character count, sentence count, and readability scores
Fetches stock market data for Indian equities listed on NSE/BSE exchanges
Proxies Twitter/X API v1.1 and v2 endpoints, enabling social data retrieval and interaction via a pay-per-request USDC gateway
Downloads TikTok videos by URL, returning video data or download links for a given TikTok post
Scrapes and extracts structured data from web pages using AI-powered smart scraping via the KiteEndpoints mega API hub
Validates cryptocurrency wallet addresses for correctness and format compliance
Analyzes a face in an image and returns facial attribute data such as age, gender, emotion, or other biometric features
Retrieves metadata about the Hyperliquid decentralized perpetuals exchange, including trading pairs, market info, and protocol configuration.
Fetches current weather data or forecasts for a given location via a pay-per-request proxy endpoint
Retrieves whale voting data from government or on-chain governance proposals
Computes category frequencies and secondary-measure weighted mean for knowledge base maintenance records (updated_articles, due_articles) across up to 200 rows.
Analyzes images using GPT-4 Vision capabilities via a pay-per-call API endpoint on the Base blockchain
Provides comprehensive Twitter/X data retrieval and interaction capabilities via a single all-in-one endpoint with pay-per-call pricing
Generates two analytical reports — an equal-width histogram and a date-by-category pivot table — from supplied label review data (reviewed_records, changed_labels), for up to 200 rows.
Runs two analytical reports on label review data: string normalisation of text fields and a base-100 indexed series for a chosen numeric measure, across up to 200 rows.
Computes string normalisation and secondary-measure weighted mean analytics on up to 200 label review records (reviewed_records, changed_labels), returning two independent analytical reports.
Computes a trailing mean time series and a secondary-measure weighted mean for label review records (reviewed_records and changed_labels) over up to 200 rows, returning two analytical reports.
Normalises strings and removes exact duplicate rows from lab observation records containing measurement and replicate_count fields, returning 2 independent analytical reports for up to 200 rows.
Computes category frequency distributions and base-100 index series for user-supplied land parcel observation records (area and perimeter fields).
Computes daily sum series and secondary-measure weighted mean analytics for up to 200 land parcel observation rows (area_m2, perimeter_m) using local analytical engines.
Generates a duplicate key report and a base-100 indexed series for supplied land parcel observation records (area_m2, perimeter_m) across up to 200 rows.
Analyzes up to 200 land parcel observation rows to produce a duplicate key report and a grouped numeric summary for area_m2 or perimeter_m fields.
Computes an equal-width histogram and a secondary-measure weighted mean for supplied land parcel observation records (area_m2, perimeter_m) — up to 200 rows, two analytical reports per call.
Deduplicates exact rows and applies numeric ordering to land parcel observation records (area_m2, perimeter_m), producing two analytical reports for up to 200 rows.
Computes a grouped numeric summary and a two-measure Pearson/correlation report for supplied land parcel records (area_m2, perimeter_m) using local analytical engines — no external lookups.
Computes a numeric distribution report and a keyed dataset comparison report for up to 200 land parcel records (area_m2, perimeter_m) using local analytical engines.
Computes numeric distribution statistics and a secondary-measure weighted mean for land parcel observation records (area_m2, perimeter_m) supplied by the caller.
Runs two local analytical reports on land parcel observation data: a record quality audit and category frequency counts for up to 200 rows of area/perimeter measurements.
Audits data quality and applies numeric row ordering to land parcel observation records (area_m2, perimeter_m) for up to 200 rows, returning two analytical reports.
Audits data quality and normalises strings for land parcel observation records (area_m2, perimeter_m) across up to 200 rows, returning two independent analytical reports.
Runs three local analytical reports on up to 200 land parcel observation records: a record quality audit, string normalisation, and a grouped numeric summary of area or perimeter measurements.
Runs string normalisation and category frequency analysis on up to 200 land parcel observation records (area_m2, perimeter_m), returning two local analytical reports per call.
Runs string normalisation and an equal-width histogram analysis on supplied land parcel observation records (area_m2, perimeter_m) for up to 200 rows.
Computes numeric row ordering and a trailing mean series for user-supplied land use observation records (area_hectares, parcel_count), returning two analytical reports for up to 200 rows.
Normalises strings and removes exact duplicate rows from land use observation records containing area_hectares and parcel_count fields, returning two analytical reports for up to 200 rows.
Computes numeric row ordering and trailing mean series for language coverage records (localized_pages, source_pages) across up to 200 rows, returning 2 analytical reports.