9. Research & Analysis

Provides a unified API for web search across Google, Amazon, Yelp, and other sources, enabling efficient information gathering for research and analysis.

Comprehensive stock evaluation with fundamental, technical, and valuation analysis, delivering buy/hold/sell recommendations and specific entry prices.

Provides web-grounded AI research with current information, multi-step reasoning, and source citations for factual queries and competitive analysis.

Conducts comprehensive Google Places searches using grid-based scanning to uncover all locations, bypassing standard surface limitations.

Lookup Swiss business and personal contact details, addresses, and phone numbers using the search.ch API.

Searches newly registered domains (NRDS) and performs nameserver reverse lookups for domain investors, brand protection, and market research.

Breaks complex problems into fundamental truths and rebuilds solutions from the ground up, challenging assumptions and fostering innovative analysis.

Provides real-time search and concise summaries of the latest academic papers from ArXiv, tailored to user queries on specific topics or daily AI research.

Provides structured web and X/Twitter search results via xAI Grok API, including tweets, threads, and user data with citations.

Analyzes GitHub contributions (PRs, commits, code reviews) over customizable time periods, delivering detailed activity summaries and technical insights.

Verifies topic research by directly accessing and analyzing source content, ensuring accuracy when studying links and documentation.

Analyzes web performance metrics including Core Web Vitals, identifies optimization opportunities, and provides actionable insights for page load speed and Lighthouse scores.

Conducts literature reviews and develops research proposals by identifying gaps and proposing novel contributions through a 'bit flip' validation approach.

Orchestrates scientific research workflows using tree-based hypothesis exploration for systematic experimentation and analysis.

Provides expert reviews of machine learning research papers against ICML standards, covering claims, evidence, originality, and reproducibility.

Critiques ML conference papers with reviewer-style feedback to identify weaknesses and gaps in claims and evidence.

Provides systematic methodology for gathering authoritative, version-accurate documentation to ensure research quality before implementation.

Conducts technical research and pattern analysis to clarify approaches before specification, exploring existing solutions and codebase patterns.

Advanced exploratory testing techniques for planning sessions, investigating bugs, and discovering quality risks using SBTM and RST heuristics.

Generates prioritized test ideas across SFDIPOT dimensions (Structure, Function, Data, Interfaces, Platform, Operations, Time) for requirements analysis.

Generates Nature Reviews-style academic research proposals for PhD applications across STEM, humanities, and social sciences with field-specific adaptations.

Analyzes conflicts and ethical dilemmas through evidence-based reasoning, preventing sycophantic thought and ensuring categorical integrity in contested claims.

Guides selection of proven methodologies and expert frameworks for creating or evaluating technical skills, ensuring grounded and optimized approaches.

Accesses Kalshi prediction market data including prices, orderbooks, trades, and events for market analysis and research.