intellectia-stock-screenerGet stock screener list data from Intellectia API (no auth) and summarize results.
Install via ClawdBot CLI:
clawdbot install intellectiaAI/intellectia-stock-screenerGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://api.intellectia.ai`Uses known external API (expected, informational)
amazonaws.comAudited Apr 16, 2026 · audit v1.0
Generated Mar 1, 2026
Individual investors can use this skill to screen for stocks, ETFs, or cryptocurrencies based on bullish or bearish trends, market cap, and price filters. It helps identify potential investment opportunities by providing predicted returns and model confidence scores, enabling users to make informed decisions without needing financial expertise.
Financial advisors can leverage this skill to generate stock lists for client portfolios, filtering by asset type, market cap, and trend direction. It assists in quickly identifying securities that match client risk profiles and investment goals, streamlining research and enhancing portfolio diversification strategies.
Quantitative analysts and developers can use the screener data to backtest trading strategies by analyzing historical price trends and predicted profits. The API provides detailed klines and trend lists, allowing for simulation of trades based on specific criteria like period type and profit sorting.
This skill serves as a practical tool for students learning about stock markets, enabling them to explore real-time data on different asset classes. They can experiment with filters to understand how market cap, price ranges, and trends impact stock selection, reinforcing classroom concepts with hands-on experience.
Financial bloggers, journalists, and media outlets can use the screener to generate data-driven content, such as lists of top-performing stocks or crypto assets. It provides up-to-date information on changes and probabilities, helping create engaging articles or reports on market trends without extensive manual research.
Offer basic screener access for free to attract users, then charge for premium features like higher rate limits, advanced filters, or historical data. This model can generate revenue through subscription tiers, targeting both individual investors and small businesses that need reliable stock data without upfront costs.
License the screener data to other financial platforms, such as trading apps, robo-advisors, or investment websites. This provides a steady revenue stream by integrating the API into third-party services, which can enhance their offerings with real-time stock insights and trend analysis.
Monetize by partnering with brokerage firms or investment services, referring users who use the screener to open accounts or make trades. This model leverages the skill's ability to drive targeted traffic, generating commissions based on user actions without charging end-users directly.
💬 Integration Tip
Ensure client code includes error handling for rate limits by implementing backoff strategies, and validate query parameters to avoid API errors.
Scored Apr 19, 2026
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