All Services

Executes a pre-built 'checked-transfer' blockchain workflow automation via a visual node-based pipeline on KeeperHub

Executes a pre-built 'checked-transfer' blockchain workflow automation via a node-based visual pipeline

Adds a new liquidity pool to the KEYRING AGENT DeFi assistant platform

Returns USDC supply or liquidity information from a DeFi assistant endpoint

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

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

Equalizes or normalizes paragraph lengths within a given text input

Evaluates a webpage's eligibility for Google SERP features (e.g. FAQ boxes, rich results) based on page type and structured data signals

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

Computes a diff between two sets of API paths to identify added, removed, or changed endpoints across changelog versions

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

Checks whether a given income or work situation stays within the German Minijob earnings limit (geringfügige Beschäftigung threshold)

Analyzes text to measure the density of acronyms relative to total word count

Computes a lexical diversity index score for a given text input

Validates German postal codes (PLZ) from free-text input and returns a structured result indicating whether the code is valid

Analyzes input text to determine its degree of subjectivity versus objectivity

Extracts and returns the heading hierarchy (H1–H6 structure) from an HTML document as a structured JSON result

Computes the cryptographic fingerprint of an SSH public key

Splits a text prompt into multiple segments up to a specified maximum number of parts

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

Proxies or estimates responses using Perplexity AI, accepting text input and returning a processed result

Generates one or more UUIDs, optionally with a custom prefix, and returns them as a structured JSON response.

Computes word or text embedding similarity by proxying a text input through a vector embedding model and returning a similarity result

Extracts content from HTML text using CSS selectors

Generates or processes a German-language privacy policy (Datenschutz) legal template for websites or digital products

Applies a JSON Patch (RFC 6902) array of operations to a JSON document and returns the patched result

Calculates the percentage of a given value and returns the numeric result

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

Extracts and cleans quotes from a given text input, returning structured parsed quote content

Checks whether a web page is eligible for Google SERP features (e.g. FAQ rich results, structured data snippets) based on its page type and markup signals

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

Analyzes the sentiment of a given text string and returns a sentiment score

Validates whether a given string is a valid Ethereum address

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

Encodes an input text string using the Metaphone phonetic algorithm, returning a phonetic representation of the text

Generates a cryptographic hash of a given text string using a specified algorithm

Rewrites or adjusts input text to match a specified target tone

Estimates the cost of running an AI agent workflow based on a text description of the task or process

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

Enforces a character or word limit on a given text, returning a processed result that conforms to the specified length constraint

Parses and processes ASCII-armored PGP/GPG text blocks, extracting structured data from armored cryptographic content

Estimates the crawl budget required for a website given its page count, average crawl depth, and update frequency

Scores a URL's indexation signals (robots.txt, canonical tags) to assess search engine crawlability and indexability

Compares two JSON schemas and returns a structured diff highlighting their differences

Transforms CSV text data into a pivot table by aggregating rows and columns around specified keys and values

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

Analyzes a text and returns the ratio of first-person pronouns or statements it contains

Formats and pretty-prints a raw JSON string into a human-readable, indented structure

Analyzes the frequency of n-grams (character or word sequences of length n) within a given text and returns frequency counts.

Generates an RSS feed from provided title, description, link, and item data for a content channel

Analyzes the tone of a given text and returns a tone classification result

Audits a business's local SEO presence by analyzing provided text and returning actionable optimization insights

Analyzes text input to generate or evaluate alt tags for images, supporting SEO and accessibility workflows.

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

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

Analyzes sentiment for specific keywords within a given text, returning a sentiment matrix mapping each keyword to its emotional tone

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

Evaluates the strength of a given password and returns a strength assessment result

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

Computes a lead quality score from visitor behavioral signals including page views, email clicks, and form submissions

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

Computes a lightweight semantic similarity score between two input text strings

Generates a Content Security Policy (CSP) HTTP header string from provided source directives like script-src and default-src

Calculates the ratio of second-person pronouns (you, your, yours) in a given text, measuring how directly the content addresses the reader.

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

Runs a lightweight Monte Carlo simulation on a given text input and returns a processed result

Computes the Pearson correlation coefficient between two datasets submitted as JSON

Validates and checks phone numbers submitted as text input, returning a processed result with success status

Checks and corrects spelling errors in a given text string, returning a processed result.

Generates analogies for a given input text to make concepts easier to understand or explain

Semantically compresses input text/prompts to reduce token usage while preserving meaning

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

Transforms input text by applying ROT13 cipher encoding/decoding

Scores a block of text for its technical density, returning a numeric assessment of how technically complex or information-rich the content is.

Analyzes HTML markup to audit image lazy-loading implementation and identify issues

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

Encodes a string input into its Base64 representation

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

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

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

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

Analyzes the proximity (closeness) of two specified keywords within a given text passage

Compares two JSON schemas and returns a structured diff highlighting their differences

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

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

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

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

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

Analyzes a text string and returns a readability score indicating how easy or difficult the content is to read

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

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

Computes a SHA-1 hash of a given input text string and returns the hex digest

Normalizes and standardizes numbered list formatting within a given text string

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

Scores a piece of text for E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) quality signals

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

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

Analyzes an HTML document and returns a hint for which CSS is critical (above-the-fold) to improve page load performance.

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

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