#reliability

Conkurrence measures whether multiple AI models produce consistent outputs on your evaluation tasks. It tells you which items your AI agrees on and which need human review — using Fleiss' κ, Kendall's W, and bootstrap confidence intervals, the same psychometric methods trusted in clinical research.

TrustPilot for APIs, built for AI agents. Independent reliability ratings for every API and MCP server — powered by synthetic probes and crowdsourced agent telemetry. Three tools: check_reliability (look up a service rating), compare_services (side-by-side comparison with recommendation), and report_outcome (leave a review after calling a service).

Younanix Memory MCP gives autonomous AI agents access to real-world engineering memory from actual incidents (Slack threads + GitHub issues in Supabase, TRPC, Drizzle, Rails, Node.js etc).Natural language tool: query_lessons (search for problems, root causes, solutions) Structured output: {problem, root_cause, lesson_learned, confidence (80-100%), category, tags} Free preview: 1 query/hour (degraded results) Full access: $0.10 per query via x402/USDC micropayments (permissionless, no API keys needed) 1000+ lessons live, auto-growing from public repos Connect once in Cursor/Claude Desktop/Windsurf → your agent auto-queries high-confidence fixes without hallucinations. Perfect for debugging, performance, security, reliability in real stacks. Site: https://www.younanix.com Let's make agents smarter with battle-tested knowledge! #AIAgents, #MCP ,#Debugging