@arthasking123

market-intelligence aggregates multi-source data on keywords, companies, and products to generate structured reports covering trends, opportunities, risks, and competitive dynamics. execution model and failure handling remain undefined.

ai-api-test provides basic api testing automation with response monitoring, status validation, and performance checks. documentation is minimal and lacks actionable procedure detail.

ai-revenue-tracker logs transactions and generates daily revenue summaries, but lacks clear intent definitions, error handling, and actionable procedural steps. primarily a bash wrapper around log files.

ai-data-scraper advertises web and api extraction with cleaning, formatting, scheduling, proxy support, retries, deduplication, and monitoring. documentation is sparse and mostly in chinese, lacking actionable detail.

Automates CSV/Excel data cleaning, statistical analysis, trend detection, anomaly identification, visualization, and report generation.

Automate web tasks like form filling, data scraping, testing, monitoring, and scheduled jobs with multi-browser support and retry mechanisms.