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    financial market data

    2

    Real-time financial market data and tax validation via MCP, featuring session management and cache control.

    Free

    5 usesSecurity scanned
    financial market data

    financial market data

    Example session with this skill installed

    Validate the VAT number for this client and get the current trading price for AAPL.

    • Read your context and instructions
    • Compiled the financial market data

    I have initiated the validation for the VAT number. Additionally, the current market data for AAPL is successfully retrieved.

    AAPL Details

    • Status: Success
    • Source: Real-time Alpha Vantage feed
    • Cache: Hit (Session: default)

    Connects securely to your tools. The creator never sees your data.

    About this skill

    The problem

    Manual financial vetting and asset data retrieval projects are prone to human error and data aging. Developers often struggle to integrate reliable tax validation and market pricing without managing complex API states and error handling.

    What it does

    • Interfaces with the financial_market_data MCP tool for real-time asset pricing.
    • Validates tax details, VAT numbers, and IBANs for client vetting.
    • Manages session state and caching to optimize API usage and cost.
    • Handles upstream service errors and rate limits gracefully without crashing.
    • Enforces data integrity by preventing hallucinated or invented financial results.

    Frameworks & tools

    Alpha Vantage API, MCP (Model Context Protocol), .env configuration.

    Why this beats prompting it yourself

    Standard prompts often result in hallucinated stock prices or outdated tax formats. This skill provides a rigid execution layer with persistent session memory and standardized error codes, ensuring the AI acts as a reliable interface to live financial data rather than a generator of guesses.

    Use cases

    • Verify client IBANs and VAT numbers before generating invoices.
    • Retrieve live stock symbols and market data for financial reports.
    • Sanitize and validate tax details during onboarding workflows.
    • Audit financial state using session-aware cache management.

    Known limitations

    Requires an Alpha Vantage API key. Does not support bulk processing in a single call; one call per asset or validation check is required.

    Requires ALPHA_VANTAGE_API_KEY in .env. Designed for single-symbol queries per call. Will not function without the underlying MCP tool.

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before any payment.

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    Security scanned

    Checked by our 8-point scan before listing

    5 uses

    Times used to date

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    Trust & safety

    Security scan

    Security scan passed 3 months ago

    • Free with an Agensi account

    Permissions

    No special permissions declared or detected

    Listed3 months ago

    What's inside

    Frequently Asked Questions

    This skill provides a secure Model Context Protocol (MCP) bridge to Alpha Vantage, allowing your agent to fetch live stock prices and validate financial identifiers like VAT and IBANs while preventing data hallucinations.

    You will receive the compiled MCP tool logic, a configuration guide for environment variables, and the documentation necessary to integrate it with any AI agent that supports the Model Context Protocol.

    Yes, you must provide your own Alpha Vantage API key via the .env configuration to enable the market data retrieval features.

    The skill features built-in session management and intelligent caching, which reduces redundant API calls and helps you stay within your Alpha Vantage rate limits while maintaining high performance.

    This skill is designed for any AI platform or agent framework that complies with the Model Context Protocol (MCP), such as Claude Desktop or custom TypeScript/Python implementations.

    Currently, the skill is optimized for precision and performs one validation check or asset retrieval per call to ensure data integrity; bulk processing of entire spreadsheets in a single call is not supported.