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
Tests whether a given string matches a specified regular expression pattern, returning match results
Generates a Twitter/X thread from a given topic or query using AI
Expands a shortened or obfuscated URL to reveal its full, original destination URL
Generates a structured podcast episode outline from a topic query using AI
Generates relevant hashtags for a given topic or piece of content using AI
Calculates Body Mass Index (BMI) given height and weight inputs, returning the BMI value and classification
Rewrites and paraphrases input text to produce alternative phrasings while preserving the original meaning
Extracts text and content from PDF documents via a pay-per-call web endpoint
Generates an original poem based on a text query or prompt using AI
Generates a catchy marketing slogan for a given topic, brand, or concept using AI
Calculates estimated body fat percentage from user-provided physical measurements or health data
Calculates mortgage payment estimates and amortization details given loan parameters
Traces the execution path and internal calls of a blockchain transaction across multiple chains
Validates a postal or street address by checking its correctness, format, and deliverability
Accepts a code snippet or query and returns a natural-language explanation of what the code does
Generates a barcode image from provided input data (text, numbers, or product codes)
Converts a volume measurement from one unit to another given a natural language or structured query
Converts a temperature value between units (e.g. Celsius, Fahrenheit, Kelvin) via a pay-per-call API using x402/USDC micropayments.
Returns the cryptocurrency balance of a given blockchain address across supported chains
Generates SEO keyword suggestions and analysis for a given search query or topic using AI
Converts a color value from one format to another (e.g. HEX to RGB, HSL to CMYK) via a pay-per-call x402 endpoint.
Generates a QR code image from a given input string or URL, paid per call via x402 USDC micropayment
Converts input text into spoken audio using a text-to-speech AI model, payable per call in USDC via x402.
Converts area measurements between different units (e.g. square meters to acres, hectares to square feet)
Converts pressure values between different units (e.g. Pascal, bar, PSI, atm, mmHg)
Routes a single AI task (LLM, image/video/voice/music generation, crypto data, or web search) through an OpenAI-compatible endpoint with pay-per-call USDC billing and no API key required
Fetches live DeFi, crypto, and prediction-market data for a specified asset or protocol argument via pay-per-call USDC payment on Base or Solana.
Fetches live crypto, DeFi, and prediction-market data for a specified market identifier via the Omnicall agent gateway
Performs a research query via the Omnicall gateway, returning results for a given research topic or question using AI-powered lookup.
Fetches live decentralized exchange (DEX) market data for a given token or trading pair on-chain via the Omnicall gateway, paid per call in USDC.
Performs a cryptocurrency lookup using a path argument via the Omnicall OpenAI-compatible LLM gateway, paid per call in USDC with no API key required.
Extracts action-marker lines (e.g. TODO items with dates) from onboarding guide documents supplied as Markdown or plain text
Extracts and inventories all HTTP links found within onboarding guide documents (Markdown or plain text)
Analyzes the length and paragraph structure of an onboarding guide document supplied as Markdown or plain text.
Extracts and inventories quoted passages from an onboarding guide document supplied as Markdown or plain text.
Reorders recognised sections in an onboarding guide document supplied as Markdown or plain text
Extracts and returns discrete sections from a Markdown or plain-text onboarding guide document
Normalises whitespace in Markdown or plain-text onboarding guide documents up to 20,000 characters using deterministic processing.
Analyzes onboarding progress records to produce a duplicate key report and adjacent row change detection report for up to 200 rows.
Runs two local analytical reports on onboarding progress data: a record quality audit and a daily sum time series for completed_steps or required_steps, across up to 200 rows.
Runs a data quality audit and an equal-width histogram analysis on onboarding progress records (completed_steps and required_steps) for up to 200 rows.
Runs a record quality audit and a grouped numeric summary on up to 200 onboarding progress rows (completed_steps, required_steps), returning two analytical reports.
Computes a secondary-measure weighted mean and a date-by-category pivot report for onboarding progress data (completed_steps, required_steps) over up to 200 rows.
Performs a pay-per-request review check using the x402 payment protocol, returning a structured JSON response for content or submission review
Returns on-chain alpha signals, whale tracking, rug scan results, and MEV protection data for a specified blockchain network
Returns whale wallet movement data and large transaction signals for a specified blockchain (Base, Solana, Arbitrum, etc.)
Sorts a JSON array in stable order, optionally using a secondary comparison array, via a pay-per-call API on Base using x402.
Computes statistical metrics over an input array of numeric values, returning tier-7 level analysis results.
Extracts only alphanumeric tokens from a given text string, stripping punctuation and other non-alphanumeric characters.
Counts the number of words in a given text string, returning token/word statistics for up to 50,000 characters.
Counts or tokenizes words in a given text string, returning word-level token analysis for up to 50,000 characters.
Segments and packs input text into tier-4 structured output chunks for downstream agent processing, delivered via pay-per-call x402 on Base.
Counts the number of characters in a given text string, returning a token/character metric for up to 50,000 characters of input.
Computes statistical analysis on an array of numeric values, returning tier-4 level results via a pay-per-call x402 API on Base.
Analyzes a given URL and returns a tier-5 analysis result via pay-per-call API on Base using x402.
Returns an even-indexed sample of elements from a provided array, with optional size, offset, and comparison array parameters.
Extracts and parses text content from domains, returning structured data from up to 50,000 characters of input text.
Performs a tier-6 URL analysis on a given URL, returning structured analytical output calibrated to that tier level.
Splits a text string (up to 50,000 characters) into individual sentences using token-level text analysis.
Converts T9 numeric keypad input into matching words using token-based text processing
Converts input text using T9 telephone keypad encoding at tier 9 of ONE Engine's encoding-pack utility.
Extracts or identifies token-level identifiers from a block of text up to 50,000 characters.
Computes statistical metrics over an array of numeric values, returning tier-dependent summary statistics.
Counts the number of characters in a given text string, returning a character count for up to 50,000 characters of input.
Analyzes a given URL and returns a structured analysis result at Tier 1 depth, paid per-call via x402 on Base.
Returns the maximum of two numbers via a pay-per-call API using x402 on Base.
Encodes input text using a T5-based model and returns a tier-dependent encoded output for autonomous agent pipelines.
Performs a tier-8 depth URL analysis on a given web address, returning structured analytical output calibrated to that tier level.
Checks whether two values are equal and returns a boolean JSON result
Computes statistical metrics over an array of numeric values, returning tier-6 level results via a pay-per-call x402-enabled API.
Returns an evenly-spaced sample of elements from an input array, optionally with offset and size control.
Trims leading and trailing whitespace from text strings up to 50,000 characters via a pay-per-call API.
Trims and normalizes whitespace or formatting in a text string, returning up to the top 10 normalized results.
Runs T5-model text analysis on a provided string and returns a tier-dependent structured result for $0.0025 USDC per call via x402 on Base.
Performs a stable sort on a JSON array of up to 1000 items, optionally using a comparison array, with configurable size and offset parameters.
Counts the number of characters in a given text string (up to 50,000 characters) and returns a token/character metric.
Returns an evenly spaced sample of elements from a JSON array, optionally compared against another array.
Normalizes and trims text by applying T9-style text normalization to remove extraneous whitespace and clean up input strings.
Extracts domain-related entities or structured information from a block of text up to 50,000 characters.
Extracts and lists all values from a provided JSON object, returning them as an array with a count.
Trims leading and trailing whitespace from a text string of up to 50,000 characters.
Applies default field values to a batch of up to 500 JSON records, optionally filtering keys and renaming fields.
Cleans and normalizes input text using a tier-2 processing level, returning structured cleaned output.
Counts and returns line-level token information for a given text input up to 50,000 characters.
Parses a natural language or structured query string into its component parts (key-value pairs and arrays) for downstream processing by autonomous agents.
Packs two input arrays into a set-based structure using tier-9 processing, returning a tier-dependent combined result.
Extracts all key-value entries from a JSON object, returning them as an array of [key, value] pairs with a count.
Computes set operations (such as union, intersection, or difference) on two input arrays and returns a packed/combined result at tier 2 quality.
Extracts token identifiers from a block of text, returning structured identifier data for downstream agent processing.
Splits and tokenizes input text (up to 50,000 characters) into paragraph-level token segments via a pay-per-call API.
Rotates a JSON array by a specified offset, returning the top 10 reordered elements, with optional comparison against a second array.
Segments and packs input text into structured chunks using Tier 1 processing, returning a tier-dependent result via pay-per-call API.
Splits or tokenizes input text into lines using a pay-per-call utility API on Base via x402.
Cleans and normalizes raw text strings at tier 4 quality using a pay-per-call utility API on Base via x402.
Applies default field values to an array of JSON records, filling in missing fields with specified defaults.
Performs a tier-3 depth URL analysis on a given URL, returning structured insights via a pay-per-call x402 API on Base.
Checks whether a given integer is odd, returning a boolean result for $0.0009 USDC per call via x402 on Base.
Removes specified keys from an array of JSON records, optionally renaming fields and applying defaults before returning the filtered objects.
Counts the number of words in a given text string, up to 50,000 characters, returning token/word statistics.
Splits and tokenizes text into individual lines using a pay-per-call utility API on Base via x402.