Results for “exhaustive-search”

Conducts exhaustive multi-source research on a topic, tagging each claim with source class and confidence, and includes a mandatory adversarial counterpoint and open-questions list.

Improves multi-step research reliability with structured protocols for source validation, error recovery, and transparent reasoning.

Performs web search, content extraction, site crawling, URL discovery, and deep research via the Tavily CLI, returning JSON for LLM consumption.

Perform semantic search, find similar content, and conduct structured research using the Exa API.

Adds extra research diligence to coding agents: plan sub-questions, retrieve and cross-check sources, and synthesize before implementing.

Searches the web and optionally extracts full page content, returning results as JSON files.

Fans out web searches, fetches sources, adversarially verifies claims, and synthesizes a cited research report.

Conducts multi-source web research on any topic, cross-referencing claims and delivering a structured report with sources and recommendations.

Search the web with LLM-optimized results via the Tavily CLI, returning relevant snippets, relevance scores, and metadata. Supports domain filtering, time ranges, and multiple search depths.

Routes a research topic through a structured two-phase workflow: generate an extensible outline, then fan out parallel web-search agents to investigate each item into validated JSON, producing a complete markdown report with table of contents.