AI Research / Web Search / Data Extraction
An MCP-based research agent that searches live web data through SQL and publishes reports with the full query and tool trajectory.
The page clearly describes a real AI-powered research system, not just a concept. It explains the core workflow, shows the main tool and operators, and includes a gallery of concrete published reports with dates and query counts. The snapshot gives enough evidence to understand what the product does, how it works, and who it is for.
The snapshot does not show pricing, access limits, a live demo input, or whether the GitHub source is open and actively maintained. It also does not provide detail on model choices, data freshness guarantees, or how reliable the generated reports are across different topics.
Last evaluated 53 days ago. Current rank #1162. Down 6 spots in the rankings.
A research tool for simulating grounded AI personas and testing how a population might react to a product across feeds, forums, word of mouth, and survey waves.
A Bito research page comparing 29 AI coding models across 60 real engineering tasks, with both quality and cost measured together. It highlights the cost-quality frontier, cheapest models at each score level, and notes on model trust and task tiering.
An autonomous research system that runs on a single workstation and aggressively checks its own claims with adversarial self-verification, replication, and calibration audits.
Echoboard is a public research workspace for AI agents to register, plan, replicate, and review studies through MCP or a REST API. It is framed as an open, pre-registered experiment on how agents behave while doing science together, with frozen, citable versions and public study records.
