All Services

Routes an AI query through JarvisClaw's smart marketplace gateway (item #203), settling payment per-call in USDC via x402 on Base or Solana, using an OpenAI-compatible interface.

Retrieves the list of token holders for a specified token on the Surf platform via the JarvisClaw AI API Gateway.

Routes AI API calls through a pay-per-call marketplace gateway (OpenAI-compatible), settling payments in USDC on Base or Solana via x402 protocol.

Retrieves or queries the orderbook for a specific market within the JarvisClaw AI API marketplace, showing available AI service listings, pricing, and liquidity.

Retrieves the 'skillframe-practice-loop' playbook, a premium structured guide for skill development loops from a Phoenix operator's public business-building notes.

Retrieves a structured playbook on building and leveraging AI citation networks, published by a Phoenix operator building businesses in public.

Sorts job listing inventory rows numerically and fills missing values in listing_count or duplicate_listings fields using zero, mean, or median imputation, returning two analytical reports for up to 200 rows.

Runs three analytical reports on job listing inventory data: record quality audit, string normalisation, and secondary-measure weighted mean for up to 200 rows.

Runs string normalisation and adjacent-row change detection on up to 200 rows of job listing inventory data (listing_count, duplicate_listings) and returns 2 analytical reports.

Deduplicates exact rows and applies numeric ordering to join coverage records (matched_rows, source_rows) across up to 200 rows, producing 2 analytical reports.

Computes grouped numeric statistics for join coverage data (matched_rows, source_rows) and fills missing values using a chosen imputation method, returning two analytical reports for up to 200 rows.

Routes HTTP GET/HEAD/DELETE requests through GenTech Labs' x402 pay-per-call gateway for Web3-native API access

Retrieves a signed public-record entry for a named node, product, or estate-scale block, returning an EdDSA-signed receipt resolvable by nonce.

Runs a blockchain-powered workflow that checks the freshness or validity of a premise (e.g., a data point, claim, or on-chain state) via KeeperHub's visual automation engine

Returns a reusable WASD/arrow-key ES module with normalized diagonal motion, blur reset, and listener disposal for a specific game preset identified as braided-19-d2.

Returns a reusable WASD/arrow-key ES module with normalized diagonal motion, blur reset, and listener disposal for the horizontal-19-d4 preset game configuration.

Returns a reusable WASD/arrow-key ES module with normalized diagonal motion, blur reset, and listener disposal for game preset open-19-d2

Returns a reusable WASD/arrow-key ES module with normalized diagonal motion, blur reset, and listener disposal for a specific preset game configuration (open-23-d3).

Adds a new liquidity or resource pool via a pay-per-call API endpoint using the x402 payment protocol

Calculates the amortisation (payback period and net savings) of an investment given its annual cost and annual savings.

Calculates the Annual Percentage Yield (APY) from a given daily interest rate and compounding frequency

Minifies a JSON-LD structured data object, reducing its size for faster page loads and cleaner SEO markup.

Validates an IBAN (International Bank Account Number) string and returns whether it is structurally and format-valid.

Applies exponential smoothing to a numeric time series using a specified alpha parameter and returns the smoothed result

Normalizes German phone numbers from free-text input into a standardized format

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

Generates a formatted changelog entry from a list of changes and a version string

Expands German umlaut characters (ä, ö, ü, Ä, Ö, Ü) in text to their two-letter equivalents (ae, oe, ue, Ae, Oe, Ue) or vice versa

Translates plain text to Morse code or decodes Morse code back to plain text

Scores a piece of text for EEAT (Experience, Expertise, Authoritativeness, Trustworthiness) quality signals

Paraphrases or rewrites input text in a specified tone using AI-powered rewriting

Validates a Docker Compose YAML file and returns a structured result indicating whether the configuration is valid

Counts the frequency of each word in a given text string and returns a structured frequency map

Converts a given time (hour and minute) from one timezone to another, returning the converted time.

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

Converts a compound APY and number of compounding periods into a derived yield or equivalent rate metric

Generates structured schema markup (JSON-LD/Schema.org) for a webpage given its URL, name, and description

Computes a CRC16 checksum for a given input text string

Scores a given text for burstiness — a measure of how AI-generated or human-like the writing feels based on sentence length variation patterns

Converts raw RSS feed XML text into structured JSON format

Generates a structured Schema.org VideoObject JSON-LD schema markup from video metadata inputs such as URL, name, duration, and thumbnail.

Validates a Docker Compose YAML file for correctness and structural integrity

Computes the number of r-permutations of n elements (nPr), returning the permutation count for given n and r integers

Validates a German VAT identification number (DE-Umsatzsteuer-ID) from a text string and returns a validation result

Calculates projected staking rewards given a principal amount, annual percentage yield (APY), and staking duration in days

Calculates the amortisation (payback period and net savings) for an investment given its annual cost and annual savings

Converts CSV text into JSON format, with optional custom delimiter support.

Generates a CORS policy configuration based on specified HTTP methods and allowed origins

Decodes a base64-encoded image containing a QR code and returns the embedded data as text

Summarizes a given text input into a condensed version within an optional word limit

Scores input text for burstiness — a measure of how much sentence-length or word-frequency variation exists, often used to detect AI-generated vs human-written text.

Computes the fingerprint of an SSH public key submitted as input

Counts the number of syllables in a given text string

Converts XML text input into YAML format via a simple POST API call

Converts a Markdown-formatted text string into rendered HTML markup

Converts a numeric weight value from one unit to another (e.g. kilograms to pounds)

Generates structured article schema markup (JSON-LD/Schema.org) for blog posts and articles based on provided metadata

Generates a lightweight README document for an API or project given a title, description, and list of endpoints

Computes the statistical covariance between two numerical data series

Converts EDN (Extensible Data Notation) formatted text into JSON format via a lightweight parsing endpoint

Analyzes whether a list of article headings are well-aligned with a target SEO keyword

Scans HTML content and returns a list of broken or invalid hyperlinks found within it

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

Analyzes a text input and returns a score reflecting the degree of hedging or uncertain language present

Counts the frequency of each word in a given text string and returns a frequency map

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

Converts structured row/header data into a formatted Markdown table string

Generates a structured organization schema (likely JSON-LD/Schema.org) for a given organization based on its URL, logo, and name

Generates OpenGraph metadata tags for a given URL, title, and content to enable rich social media previews

Expands or converts German umlaut characters (ä, ö, ü, ß) in text to their ASCII equivalents (ae, oe, ue, ss) or vice versa

Validates and analyzes a BIP39 entropy hex string for correctness and compliance with mnemonic seed phrase standards

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

Removes common stopwords from a given text string, returning a cleaned version with filler words stripped out.

Generates SEO meta tags (title, description, keywords) for a webpage given a title, keywords, and description

Calculates profit margin given a product cost and selling price

Generates structured JSON-LD breadcrumb schema markup from an array of breadcrumb items for SEO purposes

Splits a JSON array into smaller fixed-size chunks and returns the chunked result

Converts a content title string into a URL-friendly slug for use in blog posts, articles, or web pages

Normalizes German phone numbers from free-form text into a standardized format

Generates a Content Security Policy (CSP) HTTP header string based on provided script and default source directives

Validates whether a given string is a valid Ethereum address

Generates suggested alt text descriptions for images based on provided text input

Generates structured schema markup (e.g. JSON-LD) for a webpage given its URL, name, and description

Generates a structured local business schema (likely Schema.org LocalBusiness JSON-LD) from business name, phone, and address details

Generates a structured video object schema (e.g. schema.org VideoObject) from basic video metadata inputs like URL, name, duration, and thumbnail.

Analyzes a text string to detect whether it was written by an AI or a human

Validates whether a given text string matches the expected format of a German VAT identification number (USt-IdNr / Umsatzsteuer-Identifikationsnummer)

Computes the Customer Acquisition Cost (CAC) by dividing total sales and marketing costs by the number of new customers acquired

Computes a simple moving average over a numeric array with a specified window size, returning smoothed values as JSON

Generates structured JSON-LD or schema.org NewsArticle markup for a given article URL, headline, and publication date

Computes the estimated Customer Lifetime Value (CLV) from lifespan, average order value, and purchase frequency inputs

Validates and extracts German Steuernummer (tax number) patterns from a given text string

Counts the number of syllables in a given text string

Generates a lightweight README document for an API or project given a title, description, and list of endpoints

Converts between Gwei and Ether (ETH) cryptocurrency units in either direction given an amount and conversion direction.

Validates whether a given text string is a valid German mobile phone number

Bins an array of numeric values into a specified number of histogram buckets and returns the distribution result

Validates whether a given string is a valid Bech32-encoded address (e.g. Bitcoin SegWit or similar blockchain addresses)

Generates a SQL INSERT statement from a provided data object and table name

Computes a confidence interval around the mean for a given array of numeric values at a specified confidence level