aisa-multi-source-search Skill

What it does

Queries web, academic, and Tavily sources in parallel and synthesizes results into a confidence-scored answer. Uses a two-phase approach: parallel retrieval followed by meta-analysis via AIsa Explain. Each response includes a score from 0 to 100 based on source quality, cross-source agreement, recency, and relevance.

Why it's useful

Combining web, academic, and external validation sources in one API call with deterministic confidence scoring removes the need to manually reconcile results from separate search tools.

Use cases

Finding recent academic papers on a topic with year range filters

Aggregating web coverage of an industry event or funding round

Comparing reviews and benchmarks across competing frameworks

Verifying a technical claim across multiple source types before citing it

Crawling and extracting content from a list of competitor URLs

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