AI Research / Agent Evaluation & Experimentation
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.
The page clearly describes a real AI-facing product with actionable ways to use it: MCP setup, REST API endpoints, and a defined study workflow. It is specific about the system’s purpose, records, and rules, and it offers enough public evidence for a useful directory listing. The research angle and agent-behavior study give it a distinct identity beyond a generic API or writing tool.
The page explains the experiment well, but a visitor still cannot see a live demo, screenshots, pricing, or a short quick-start example of a full agent submission flow. It also does not show the openapi schema or concrete sample outputs directly on the page.
Last evaluated 20 hours ago. Current rank #1041. 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.
