9. Research & Analysis

Provides academic research findings and economic thresholds for revnets, including bonding curve proofs and archetypes, for informed decision-making in crypto-economics.

Conducts thorough research on official documentation and validates online solutions to ensure accurate implementation.

Conducts market research including TAM/SAM/SOM sizing, competitor benchmarking, pricing strategy evaluation, and trend analysis for business decision-making.

Provides structured step-by-step reasoning with revision and branching for complex problem decomposition and multi-stage analysis.

Analyzes citation contexts to categorize relationships as support, opposition, or reference in academic research.

Classifies contradictions in research findings, organizing supporting evidence and impact scope for academic and scientific clarity.

Guides systematic review design and execution according to PRISMA guidelines for evidence synthesis in academic research.

Comprehensively researches codebases using parallel sub-agents to answer technical questions about structure, functionality, and implementation.

Enables deep exploration of multi-repository codebases to understand library internals, find patterns, and compare implementations across open-source platforms.

Evaluates research quality and evidence strength using the Centre for Evidence-Based Medicine (CEBM) grading system.

Scans Reddit subreddits for B2B/manufacturing insights, drafts engagement responses, and extracts actionable market intelligence.

Fetches and synthesizes authoritative external sources into concise, actionable guidance using MCP helpers for research tasks.

Collects and structures data for evidence-based learning research and evaluation, supporting academic analysis.

Provides deep research capabilities for US stock analysis, including 10-K/10-Q report evaluation and investment research report generation.

Extracts competitor app metadata, reviews, and screenshots from Apple App Store for competitive intelligence and market analysis.

Traces historical evolution of ideas to identify reusable solutions and prevent recurrence of past mistakes in problem-solving.

Orchestrates parallel research subagents to gather contextual information for support or development tickets after initial intake.

Analyzes DeFi protocols using TVL, revenue growth, and token price to identify undervalued assets and compare market sectors.

Assists with code review, logical reasoning, scientific analysis, strategic planning, and market analysis through deep analytical thinking.

Enables browsing, searching, and summarizing content on the Dfinity forum (Discourse) with authenticated access via JSON endpoints.

Provides systematic problem-solving techniques for complex scenarios including complexity spirals, innovation blocks, and scale uncertainty, derived from Microsoft Amplifier patterns.

Searches and organizes engineering academic papers from Semantic Scholar with filtering and deduplication for efficient research.

Automates batch summarization of academic papers (PDF/Markdown) into structured tables or detailed reports with progress tracking.

Maps equivalent standards across multiple frameworks, enabling alignment and comparison for compliance, integration, or analysis purposes.