9. Research & Analysis

Identifies recurring patterns across three or more distinct domains to derive universal principles and actionable insights.

Tests systems at extreme scales (1000x size, instant/year-long) to reveal fundamental truths obscured at normal scales.

Searches for and retrieves technical documentation from the internet, GitHub repositories, and multiple sources using parallel exploration and llms.txt standard.

Offers creative problem-solving techniques including collision-zone thinking, inversion, pattern recognition, and simplification to overcome analytical obstacles.

Enables web search and content extraction using Brave Search API for quick fact-checking and documentation research without browser dependency.

Delivers rigorous academic research support emphasizing theoretical correctness, formal verification, and optimal implementation across technical domains.

Comprehensive tool for evaluating technology stacks with TCO analysis, security assessment, and AI-driven recommendations for engineering teams.

Multi-Agent orchestration for systematic research: breaks goals into parallel tasks, aggregates results, and delivers a report with key conclusions.

Executes OpenEvidence DeepConsult workflow to synthesize medical literature, address complex clinical questions, and deliver evidence-based research insights for physicians.

Executes clinical evidence queries for real-time point-of-care decision support, integrating with EHR systems to provide evidence-based medical information.

Selects optimal quasi-experimental design (DiD, ITS, SC) based on data structure and research questions for causal inference.

Validates causal claims using placebo-in-time sensitivity analysis to check model robustness and rule out spurious effects.

Analyzes and compares staking rewards across validators and blockchains, including risk assessment, to optimize Proof-of-Stake yields for users.

Analyzes and compares DeFi yield opportunities across protocols, providing APY calculations, risk assessments, and optimization recommendations for investors.

Tracks new token launches on decentralized exchanges, providing risk analysis and contract verification for investment decisions.

Generates comprehensive leveraged buyout (LBO) models in Excel for private equity analysis, featuring debt schedules, cash flow waterfalls, and IRR calculations.

Aggregates breaking cryptocurrency news from 50+ sources for real-time market monitoring and analysis.

Detects significant crypto price movements and volume anomalies using price change, volume ratio, and market cap metrics for market analysis.

Creates Excel-based discounted cash flow (DCF) models for company valuation and enterprise value calculation.

Executes Perplexity's secondary Core Workflow B to enhance research tasks and complement primary information gathering workflows.

Builds discounted cash flow (DCF) models in Excel for financial valuation, including cash flow projections, WACC, and sensitivity analysis for investment banking teams.

Analyzes cryptocurrency options flow to identify institutional positioning and gauge market sentiment for trading insights.

Monitors cryptocurrency derivatives markets, delivering real-time analysis of funding rates, open interest, liquidations, and options flow for trading insights.

Automatically computes and visualizes percentile metrics from performance test data to evaluate system response times and throughput.