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Airdrops Solana tokens to specified wallet addresses via an AI agent
Searches trending topics by keyword and returns ranked results to help identify the best trend for timely content creation.
Performs a trust and identity verification check on an agent or entity for use in agent handoffs, delegation, and provenance triage
Returns a directory listing of all MetaLend RebalancerResource API endpoints with one-line summaries and links to API documentation.
Creates a dated JSON agent quest card after a Base USDC micropayment of $0.01 settles via the x402 payment protocol
Generates a unique surreal bedtime story personalized to the calling agent and issues a signed, collectible Dreamer's Ticket NFT mintable on-chain
Sends a text prompt to a MiniMax-M3 428B MoE model hosted via NVIDIA NIM and returns an AI-generated response, payable per-call in USDC on Base.
Analyzes the sentiment of a given text using NVIDIA NIM's MiniMax-M3 (428B MoE) model, returning a sentiment classification.
Purchases 1 USDC worth of MLG ERC-20 tokens (0x0A3006C07808e1BF3b57980Bc73A4B6159fEEB07) and delivers them to the caller
Returns x402 service counts broken down by category from Agentic Market, with memoryapi.org listings highlighted.
Executes a purchase of MON tokens worth 1 USDC on behalf of the caller, returning transaction details for the swap
Unlocks and delivers the full recipe for 'Perfect Chocolate Chip Cookies' via a paid API endpoint.
Returns a list of Meteora DLMM (Dynamic Liquidity Market Maker) liquidity pools for a specified blockchain
Returns a list of newly launched tokens from Bags.fm on the Base blockchain
Returns the list of whale holders for a given Base chain token by contract address
Returns the list of whale holders for a given Base chain token address
Returns a list of recently launched tokens on Base chain from the trenches/meme ecosystem
Returns AI-powered liquidity pool recommendations for DeFi trading on Base network
Returns whale (large) holders for a given Solana token by mint address, specifically for tokens on the Base/Solana ecosystem including orca-related tokens
Analyzes profit and loss (PnL) for a specific Solana wallet address on the Base blockchain, returning trading performance metrics.
Returns token metadata and top holder information for a given Base chain token contract address
Returns metadata and top holder information for a specified Solana token address
Pay-per-view access to premium video content using x402 micropayment protocol at $0.10 USDC per request
AI-powered DeFi analysis combining CoinGecko and DexScreener market data with MiMo LLM reasoning, delivered via x402 micropayment on Base or Solana
AI-powered analysis of a crypto asset by ID using CoinGecko, DexScreener, and MiMo LLM to generate structured intelligence
Fetches AI-enriched cryptocurrency exchange data using CoinGecko and DexScreener sources, analyzed by a MiMo LLM layer
Generates AI-powered narrative analysis for a cryptocurrency using CoinGecko, DexScreener data, and MiMo LLM
Discovers and returns newly listed cryptocurrency trading pairs using DexScreener data, enriched with AI-powered analysis via MiMo LLM
Fetches AI-powered cryptocurrency coin data by querying CoinGecko and DexScreener, analyzed via MiMo LLM, with results denominated against a specified vs-currency
Fetches AI-powered crypto market data and analysis for a given currency pair using CoinGecko, DexScreener, and MiMo LLM
Returns AI-powered cryptocurrency coin data by querying CoinGecko and DexScreener, processed through MiMo LLM, for a given versus/base currency
Returns AI-powered global cryptocurrency market analysis by aggregating CoinGecko data and applying MiMo LLM interpretation
Performs AI-powered cryptocurrency analysis by aggregating CoinGecko and DexScreener data and generating LLM-driven insights for a given crypto asset ID
AI-powered NFT analysis combining CoinGecko and DexScreener data with MiMo LLM reasoning, delivered via x402 micropayment on Base or Solana
Fetches AI-powered global cryptocurrency market data and analysis using CoinGecko data enriched by MiMo LLM intelligence
Generates AI-powered narrative analysis for cryptocurrency tokens by combining CoinGecko market data, DexScreener DEX data, and MiMo LLM reasoning
Retrieves and analyzes cryptocurrency exchange data using AI-powered insights combining CoinGecko, DexScreener, and MiMo LLM
Returns AI-powered cryptocurrency market analysis by querying a target asset or market pair, combining CoinGecko, DexScreener data with MiMo LLM insights
Fetches AI-analyzed trending cryptocurrency tokens using CoinGecko and DexScreener data processed through a MiMo LLM
Provides AI-powered DeFi analysis combining CoinGecko and DexScreener data processed through a MiMo LLM to deliver crypto market intelligence
Retrieves AI-analyzed trending cryptocurrency tokens using CoinGecko and DexScreener data processed through a MiMo LLM
Generates AI-powered SEO meta content (titles, descriptions, structured metadata) for a given topic, tailored for crypto and DeFi contexts.
Returns a mapping of supported blockchain chain IDs to their human-readable names (e.g. Ethereum, Base)
Returns AI-generated crypto alpha signals and market intelligence for a specified topic (e.g. DeFi, a token, or market sector) via micropayment-gated GET request
Returns the list of blockchain networks supported by the NeuroFi platform, identified by chain ID and name
Detects the language of a given text string and returns the language name and ISO code
Returns AI-generated crypto portfolio recommendations based on specified investment goals
Returns AI-generated deep research and analysis for a specified cryptocurrency token
Returns a map of supported language codes and their human-readable names available in NeuroFi's translation and language detection services.
Generates AI-powered SEO meta content (titles, descriptions, tags) for a given crypto or DeFi topic
Generates a structured SEO content outline for a given topic, returning a blog-style hierarchical outline with sections and key points.
Generates SEO keyword suggestions and content for a given crypto or DeFi topic
Returns pay-per-call financial signals data via a streamable HTTP MCP endpoint, paid with USDC on Base via x402 protocol
Sends a user message to Nexus AI for operational orchestration and execution, returning a chat-style AI response.
Purchases $5 USDC worth of nine tokens (0x3a105f1247B27DED116B5d8dFe3D8e24151c1B07) on behalf of the caller via a paid API call
Purchases 1 USDC worth of nine tokens (0x3a105f1247B27DED116B5d8dFe3D8e24151c1B07) on behalf of the caller via an x402 payment-gated API call
Buy a custom USDC amount worth of Nine tokens (0x3a105f1247B27DED116B5d8dFe3D8e24151c1B07) on the Base network via x402 payment
Pay-per-call AI inference endpoint that accepts a prompt and returns generated text, reasoning, translation, or analysis results via USDC micropayment on Base.
Accepts a natural language query and returns an AI-generated answer, supporting chat, reasoning, translation, analysis, and generation tasks, billed per call in USDC on Base.
Accepts a natural language query and returns an AI-generated answer via a pay-per-call inference endpoint on USDC/Base.
Pay-per-call AI inference endpoint for chat, reasoning, translation, analysis, and generation, billed in USDC on Base via x402.
Runs a multi-step AI inference pipeline for chat, reasoning, translation, analysis, and text generation, billed per call in USDC on Base.
Runs multiple AI inference tasks (chat, reasoning, translation, analysis, generation) in a single batch call, billed per call in USDC on Base.
Submits a batch of AI inference items (chat, reasoning, translation, analysis, generation) and returns results for each item in a single USDC-paid call.
Executes a multi-step AI pipeline for chat, reasoning, translation, analysis, or generation, billed per call in USDC on Base.
Pay-per-call AI inference endpoint supporting chat, reasoning, translation, analysis, and generation via USDC micropayment on Base.
Extracts structured data from text using AI inference, returning typed fields with a confidence score, paid per-call in USDC on Base.
Executes a pay-per-call AI inference pipeline supporting chat, reasoning, translation, analysis, and generation, billed in USDC on Base.
Runs pay-per-call AI inference on text prompts with optional image or audio inputs, returning model-generated analysis or content via USDC payment on Base.
Runs multiple AI inference tasks (chat, reasoning, translation, analysis, generation) in a single batch call, billed per-call in USDC on Base.
Runs a multi-step AI inference pipeline accepting text input and returning model-generated output for chat, reasoning, translation, analysis, or generation tasks, billed per call in USDC on Base.
Computes the continued fraction representation of a real number to a specified depth
Converts a numeric value from one time unit to another (e.g., hours to seconds, days to minutes)
Finds the numerical root of a nonlinear single-variable equation given a function expression and an initial guess
Generates the nth Euler number using pure mathematical computation
Identifies statistical outliers in a numeric dataset using configurable detection methods
Computes projected retirement savings balance given an initial savings amount, annual contribution, interest rate, and number of years.
Converts an area value from one unit to another (e.g. square meters to acres) with no external dependencies
Generates the first n rows of Pascal's Triangle as a pure math computation with no external dependencies
Computes the LU decomposition (lower-upper factorization) of a given matrix, returning L and U factors for use in solving linear systems and numerical analysis.
Computes a financial comparison between leasing and buying an asset, returning cost breakdowns and metrics for both scenarios
Performs one-way Analysis of Variance (ANOVA) across multiple groups to test whether their means differ significantly
Computes the numerical gradient (vector of partial derivatives) of a multivariable function at a given point
Computes the continued fraction representation of a real number to a specified depth
Computes the payback period for an investment given a series of cash flows
Computes return on investment (ROI) given a cost and a gain value
Computes moving averages (simple, exponential, or other types) over a numeric data array using a specified window size
Computes the rank of a matrix (the number of linearly independent rows or columns)
Performs a two-sample t-test on two numeric arrays and returns the test statistic, p-value, and interpretation
Solves polynomial equations given an array of coefficients (highest degree first) and returns the roots and computation details
Computes the z-score (standard score) for a dataset, indicating how many standard deviations each value is from the mean
Solves a linear equation of the form ax + b = 0, returning the root x
Computes dividend yield by dividing the annual dividend per share by the stock price
Solves a system of linear equations given a coefficient matrix A and constants vector b, returning the solution vector
Computes the sum of a mathematical series given a term expression in index n, with configurable term count and convergence tolerance
Computes descriptive statistics (mean, median, mode, variance, standard deviation, etc.) for a given numerical dataset
Solves constraint satisfaction problems given a set of variables and constraints using pure mathematical computation
Computes a confidence interval for a given dataset at a specified confidence level (e.g., 95%)
Converts a numeric weight value from one unit of mass to another (e.g. kilograms to pounds)
Calculates return on investment (ROI) given a cost and gain amount