alphaear-searchv1.0.0

A financial analyst needs to aggregate recent news about multiple stocks from different web sources. Using the aggregate search, the analyst can get a comprehensive summary from Jina, DDG, and Baidu in one call.

A portfolio manager wants to retrieve specific information from internal daily news reports stored locally. The local RAG search allows querying the daily_news database for relevant passages.

A business strategist needs to gather the latest information on competitors' financial moves. Web searches across multiple engines with smart caching avoid redundant fetches and speed up research.

A compliance officer requires up-to-date regulatory changes from the web and internal documents. Dual searches (web and local) ensure no relevant update is missed.

A retail investor wants quick summaries on specific financial terms or companies. Using the search function with JSON output provides concise summaries for decision-making.

Offer the skill as part of a financial research platform. Users pay monthly for access to aggregated searches and local RAG capabilities.

Charge per search query, especially for premium engines or aggregate searches. Ideal for occasional users or enterprise clients with variable usage.

Integrate the skill into existing financial software (e.g., CRM, ERP) as a plugin. Revenue from licensing or revenue sharing with the host platform.