9. Research & Analysis

An on-demand agent performing domain-specific research tasks, gathering and analyzing information as required.

Searches Google for company profiles, product pages, and reviews using SerpAPI to support market and business research.

Fetches business leads (stores, restaurants, etc.) from Google Maps via Dumpling AI API for market research and analysis.

Finds similar companies using Exa.ai's neural search API for market analysis and competitive intelligence.

Organizes competitor research results in a Notion database for streamlined market analysis and strategic decision-making.

Conducts user interviews and requirements gathering to uncover true needs through open-ended questioning and deep analysis techniques.

Analyzes user conversation history to identify recurring themes, patterns, and insights for improved agent steering and session understanding.

Conducts expert-level research with multi-step reasoning and source evaluation for technical, academic, and specialized domain queries requiring high-stakes analysis.

Provides advanced research and reasoning capabilities for complex strategic decisions, technical architecture, and multi-stakeholder problems through validated source analysis and up-to-date information prioritization.

General-purpose agent for comprehensive research, codebase exploration, and multi-step task execution across diverse information sources.

Guides thorough research through multi-source verification, synthesis, and RAG pattern application for accurate information gathering.

Analyzes Git history to infer design intent and historical context of code changes, providing background understanding for developers.

Generates a cohesive, decision-oriented summary by synthesizing insights from multiple sources and analyses.

Searches claims and sources using natural language to discover related analyses and existing evidence for research purposes.

Performs comprehensive fact-checking by fetching sources, analyzing claims through a 3-stage process, and validating against verified data.

Quickly extracts verifiable claims from text sources without full fact-checking, enabling efficient claim harvesting for research or verification workflows.

Performs structured 3-stage Reality Check analysis for manual information verification without database integration.

Synthesizes cross-source analyses into a cohesive, decision-oriented overview for evidence-based conclusions.

Executes a full reality check workflow: fetches sources, analyzes content, extracts claims, registers in database, and validates against verified data.

Researches SedonaDB spatial functions to understand ST_* implementation details before integrating into the sx R package.

AI-powered system for deep article analysis, critical thinking, and knowledge transformation into structured action plans for complex content.

Provides a structured framework for assessing technology maturity, scalability, security, and architecture design to inform technical strategy.

Provides a systematic framework for policy analysis, incorporating PEST analysis, feasibility assessment, and stakeholder impact evaluation.

Researches Schema.org standards, validates class hierarchies, and provides integration guidance for Logseq template expansions.