All Services

Identifies and removes exact duplicate rows from museum visitor footfall datasets (up to 200 records) and returns a deduplication report.

Normalises string fields in museum visitor footfall records (exhibit names, dates, row IDs) for up to 200 rows, returning a bounded local analytics report.

Returns current cryptocurrency prices for one or more coins by symbol via a pay-per-call API on Base mainnet

Extracts plain text content from a given URL via a pay-per-call x402 API on Base mainnet

Extracts plain text content from a given URL via a pay-per-call x402 API on Base mainnet

Checks the health and reachability of a given URL, returning status information about whether the URL is accessible

Retrieves install lifecycle hook metadata for the mysql2 npm package to support integration planning and upgrade decisions.

Retrieves module and type entrypoints from the npm registry for the mysql2 package to support integration and upgrade planning.

Sends a chat message to the NanoBrain AI and returns an AI-generated conversational response

Returns runtime and platform constraint metadata for the nanoid npm package, supporting integration and upgrade planning.

Generates a customizable, editable WebGPU-native maze game starter project (preset balanced-23-d3) with WGSL shaders and render pipeline, configurable by seed, title, and accent color.

Generates a customizable WebGPU-based braided maze game starter with editable title, seed, and accent color using native WGSL shaders and vertex buffers.

Returns source files for an editable, playable braided-maze game built with native WebGPU, a vertex buffer, render pipeline, and WGSL shader — customizable by title, seed, and accent color.

Returns editable WebGPU-based maze game source files for the braided-15-d4 preset, configured with a custom title, seed, and accent color.

Generates a customizable, playable WebGPU-based braided maze game starter (source files) with configurable title, seed, and accent color, using a native vertex buffer, render pipeline, and WGSL shader.

Generates source files for a customizable braided-maze game using native WebGPU vertex buffers, a render pipeline, and WGSL shaders, configured via seed, title, and accent color.

Generates a customizable, editable braided-maze WebGPU game starter (preset braided-27-d2) with WGSL shader source files, configurable title, seed, and accent color.

Returns source files for an editable, playable WebGPU maze game preset (horizontal-11-d4) with configurable title, seed, and accent color.

Generates a customizable WebGPU-based editable maze game starter (preset horizontal-19-d3) with WGSL shader source files for a specific seed, title, and accent color.

Returns editable WebGPU-based maze game source files for the horizontal-19-d4 preset, configurable with a custom title, seed, and accent color.

Returns source files for a playable, editable WebGPU maze game (preset horizontal-23-d2) with configurable title, seed, and accent color, using WGSL shaders and a native vertex buffer render pipeline.

Returns editable WebGPU maze game source files (preset horizontal-23-d3) with configurable title, seed, and accent color, using a native WebGPU vertex buffer, render pipeline, and WGSL shader.

Returns editable WebGPU maze game source files (WGSL shader, vertex buffer, render pipeline) for the horizontal-27-d2 preset, configurable by seed, title, and accent color.

Returns source files for an editable WebGPU-native maze game (preset horizontal-27-d3) with customizable title, seed, and accent color, using a vertex buffer, render pipeline, and WGSL shader.

Returns editable WebGPU-based maze game source files (preset horizontal-27-d4) with configurable title, seed, and accent color, using a native vertex buffer, render pipeline, and WGSL shader.

Generates editable WebGPU maze game source files (vertex buffer, render pipeline, WGSL shader) for preset open-11-d1 with configurable title, seed, and accent color.

Generates a configurable, editable WebGPU-based maze game starter (preset open-15-d1) with WGSL shaders and vertex buffer, returning source files ready for native WebGPU environments.

Generates editable source files for a WebGPU-based maze game using preset open-15-d2, with a native vertex buffer, render pipeline, and WGSL shader, configurable by title, seed, and accent color.

Generates a customizable, editable WebGPU-based maze game starter (preset open-27-d1) with a native vertex buffer, render pipeline, and WGSL shader, returning source files ready to run in a WebGPU-capable browser.

Returns editable WebGPU maze game source files (WGSL shader, vertex buffer, render pipeline) for preset vertical-11-d2, configurable by seed, title, and accent color.

Generates a customizable, editable WebGPU-based maze game starter (preset vertical-11-d4) with WGSL shader source files for use in WebGPU-capable browsers.

Returns editable WebGPU-based maze game source files (WGSL shader, vertex buffer, render pipeline) for the vertical-15-d1 preset, configurable by seed, title, and accent color.

Generates editable WebGPU maze game source files (vertex buffer, render pipeline, WGSL shader) for preset vertical-19-d3 with configurable title, seed, and accent color.

Generates a customizable, editable WebGPU-powered maze game starter (source files) using a native vertex buffer, render pipeline, and WGSL shader, for the vertical-23-d1 preset.

Generates editable WebGPU maze game source files (WGSL shader, vertex buffer, render pipeline) for preset vertical-23-d4, configurable by title, seed, and accent color.

Returns editable source files for a WebGPU-powered maze game starter using preset vertical-27-d2, with configurable title, seed, and accent color.

Computes two analytical reports (daily sum series and adjacent row changes) for navigation path metrics (path_length and search_ms) on up to 200 supplied rows of data.

Computes a daily sum time series and a date-by-category pivot table for navigation path records (path_length, search_ms) over up to 200 rows.

Analyzes supplied navigation path records to produce a duplicate key report and category frequency breakdown for path_length and search_ms fields.

Computes IQR-based outlier flags and a secondary-measure weighted mean for up to 200 navigation path records (path_length, search_ms), returning two analytical reports.

Filters navigation path records by a numeric range on path_length or search_ms, and computes adjacent-row changes for those records, returning two analytical reports in one call.

AI-powered detection/analysis of crypto assets using CoinGecko, DexScreener, and MiMo LLM intelligence

Detects and analyzes a cryptocurrency or token using AI-powered intelligence combining CoinGecko, DexScreener, and MiMo LLM data

AI-powered cryptocurrency detection and analysis using CoinGecko, DexScreener, and MiMo LLM to identify and analyze crypto assets

Returns AI-analyzed trending cryptocurrency data by combining CoinGecko and DexScreener data processed through the MiMo LLM

Returns AI-analyzed global cryptocurrency market data aggregated from CoinGecko and DexScreener, processed through MiMo LLM

AI-powered NFT analysis using CoinGecko and DexScreener data processed through MiMo LLM

Discovers and returns recently listed cryptocurrency trading pairs using DexScreener data, enriched with AI analysis via MiMo LLM

Provides AI-powered NFT analysis and intelligence by combining on-chain data with LLM-generated insights for a given NFT collection or asset

Returns the full text of a travel article about legal requirements for getting married in Nesebar, Bulgaria in 2026

Retrieves npm registry metadata for install lifecycle hooks of the @nestjs/core package, supporting integration and upgrade planning

Returns published artifact integrity metadata (checksums, hashes, publish info) for a specific version of the @nestjs/core npm package to support integration and upgrade planning.

Returns runtime and platform compatibility constraints for the @nestjs/core npm package, optionally for a specific version.

Proxy endpoint that forwards chat completion requests to OpenAI's GPT-5.4 model and returns responses in the standard OpenAI chat.completion format, billed per call via x402 micropayments.

Performs string normalisation and equal-width histogram analysis on network observation records (connection_count, rejected_connections) for up to 200 rows, returning two analytical reports.

Normalises string fields (network interface names, dates, IDs) across up to 200 network throughput records and returns a local descriptive analytics report.

Validates declared neural feature metadata against supplied source-artifact digests and pipeline revisions, returning a coverage map of matched and unmatched features.

Returns an AI-generated market pulse summary covering current crypto market conditions and sentiment

Returns a list of all supported languages available on the NeuroFi platform, with their language codes and display names.

Extracts and inventories all number tokens (dates, quantities, percentages, counts, etc.) found in a newsletter document

Cleans and deduplicates up to 200 newsletter observation records (delivered_messages, open_count) via string normalisation and exact row deduplication, returning 2 analytical reports.

Computes numeric row ordering and an equal-width histogram for newsroom assignment records (assigned_items, completed_items) on up to 200 supplied rows, returning two analytical reports.

Audits data quality and produces grouped numeric summaries for newsroom assignment records (assigned_items, completed_items) across up to 200 rows, returning two independent analytical reports.

Executes pay-per-call financial data tasks via a streamable HTTP MCP endpoint, billed at $0.01 USDC per call on Base

Calculates loan repayment schedules, monthly payments, and interest costs given loan parameters

Traces and analyzes a blockchain transaction by hash or query, returning detailed execution and call trace data

Verifies smart contract details or legitimacy on a blockchain given a contract address or identifier

Extracts or generates relevant keywords from a given text query using AI

Analyzes the sentiment of a given text or search query and returns a sentiment classification with scoring

Generates a descriptive or creative caption for a given query or image concept using AI

Verifies whether a given hash value matches the expected hash of a provided input string or data

Converts code from one programming language to another using AI

Generates a professional or social media bio for a person or entity using AI based on a text query or input description.

Calculates compound interest and investment growth based on principal, rate, time, and compounding frequency

Traces a cryptocurrency transaction to reveal its full execution path, internal calls, and state changes on-chain

Generates a joke on demand, optionally themed around a query topic, via a pay-per-call AI endpoint

Converts temperature values between different units (e.g., Celsius, Fahrenheit, Kelvin)

Generates vector embeddings for a given text query or input string, enabling semantic search and similarity computation.

Extracts named entities (people, organizations, locations, dates, etc.) from a text query using NLP

Verifies whether a given hash matches an expected value or input, confirming data integrity

Generates a catchy slogan or tagline for a given topic, brand, or concept using AI

Decodes a Base64-encoded string back into its original plaintext representation

Generates a regular expression pattern from a natural language description of the pattern to match

Compares two or more food items by nutritional content, health attributes, or other criteria

Paraphrases or rewrites input text into alternative phrasing while preserving meaning

Converts time values between timezones or formats via a natural language query

Generates a contextually appropriate AI-written reply to an email given a query or context string

Generates AI-written captions for Instagram posts based on a text query or topic input

Converts energy values between different units (e.g., joules, calories, kilowatt-hours, BTUs, electron-volts)

Generates a Twitter/X thread from a search query or topic input using AI

Generates a cryptographic hash from an input string or query

Extracts text and content from PDF documents via a web URL or query input

Retrieves all tokens held by a given cryptocurrency wallet address

Generates or publishes a LinkedIn post based on a text query or topic input

Fetches AI-curated news headlines based on a search query

Calculates compound interest growth for a given principal, rate, and time period

Generates AI images from a text prompt, payable per call in USDC on Base with no API key required.

Formats and standardizes a geographic address string into a structured, normalized format

Generates a barcode image from a given input string or product code

Generates a structured podcast episode outline from a given topic or query