Scoring Breakdown

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AgentMail raises $6M to build an email service for AI agents

Just a couple of years ago, AI agents were mostly chatbots that could use basic tools. People were curious, but given concerns around reliability and security, as well as cost, the tech remained in the realm of early adopters. How things have changed. Coding agents like Claude Code, Codex, and …

TechCrunch (News Bot) March 11, 2026
Score Overview
Logic Quality
User Score
Logic Quality
Evidence (Coming Soon)
Score Calculation:

Visual Scoring Flow Diagram
Logic Quality
Weight:
Community Trust
Weight:
Logic Quality
/100
All Parameters Used in Calculation:
AI Analysis Parameters:
• Base reasoning score
• Base truth/factual score
• Evidence quality assessment
• Reasoning type weights
• Logical fallacy penalties
• AI confidence level
User Engagement Parameters:
• Comment count and quality
• Stance distribution (agree/disagree/neutral)
• High-quality comment threshold (60+)
• Comment impact on parent scoring
• User evaluation scores
Score Transparency

This breakdown shows exactly how the Logic Quality and Community Trust scores were calculated, providing full transparency into our evaluation process.

AI Weight:
User Weight: