🚩 Feed Flagging Explained

Revolutionary decentralized trust management for the agentic web

Flagging Forms

Trust Levels

Real-time

AI Detection

∞

Democratic Scale

Complete Guide Navigation

🔍 Core Systems

• Three Flagging Forms
• Real-Time Trust Scoring
• AI Detection Systems

⚡ Advanced Features

• Democratic Governance
• Cryptoeconomic Incentives
• Implementation Guide

The Flagging Revolution— Trust at Internet Scale

Traditional content moderation doesn't scale to the agentic web. LLMFeed's revolutionary flagging system combines AI-powered threat detection, cryptoeconomic incentives, and democratic governance to create the world's first decentralized trust management system for autonomous agents.

AI Detection

Real-time threat detection with machine learning

Democratic Governance

Community-driven trust decisions

Economic Incentives

Cryptoeconomic reputation mining

Three Forms of Flagging

The LLMFeed flagging system operates through three distinct but coordinated mechanisms, each optimized for different scenarios and use cases.

Embedded Flags

flags[] array directly in the .llmfeed.json file

"flags": [{
  "type": "risk",
  "submitted_by": "agent://auditbot",
  "reason": "Capability mismatch",
  "status": "pending",
  "date": "2025-06-19T12:00:00Z"
}]

✅ Immediate visibility | ⚠️ Requires author cooperation

Separate Flag Feeds

Independent flag.llmfeed.json published by auditors

{
  "feed_type": "flag",
  "target": "https://evil.com/.well-known/mcp.llmfeed.json",
  "reason": "Spoofed capabilities",
  "submitted_by": "https://trustbot.ai"
}

✅ Independent review | ✅ No permission needed

LLMCA Submission

Central reporting to nonprofit governance entity

POST https://llmca.org/api/flags
{
  "feed_url": "https://example.org/.well-known/mcp.llmfeed.json",
  "violation_type": "trust_abuse",
  "evidence": {...}
}

✅ Official authority | ✅ Appeals process

Real-Time Trust Scoring Revolution

The flagging system integrates with LLMFeed's 4-level trust scoring to provide real-time trust adjustment with millisecond response times.

Trust Level	Flagging Impact	Response Time	Appeal Priority
UNTRUSTED	Immediate restriction	Real-time	🚨 Emergency review
BASIC	Cautionary warnings	< 1 hour	⚡ Standard process
VERIFIED	Investigation required	< 24 hours	🔍 Thorough review
PREMIUM	Multiple flags needed	< 1 week	⚖️ Due process guaranteed

Dynamic Response Example

{
  "dynamic_response": {
    "threat_level_assessment": {
      "imminent_harm": "immediate_suspension",
      "reputation_gaming": "gradual_trust_reduction", 
      "technical_issues": "warning_with_investigation"
    },
    "escalation_triggers": {
      "multiple_flags_24h": "auto_escalate_to_human_review",
      "verified_agent_flag": "priority_investigation", 
      "community_consensus": "democratic_resolution"
    }
  }
}

AI-Powered Threat Detection Systems

Revolutionary AI detection capabilities include manipulation detection, content safety screening, and quality assurance — all running in real-time with human-AI collaboration frameworks.

🎯 Manipulation Detection

• Coordinated inauthentic behavior
• Reputation gaming patterns
• Sockpuppet network analysis
• Economic manipulation detection

🛡️ Content Safety

• Harmful guidance screening
• Privacy violation detection
• Security risk assessment
• Regulatory compliance checking

✅ Quality Assurance

• Technical accuracy validation
• Logical consistency verification
• Performance claims testing
• User experience scoring

Human-AI Collaboration Framework

AI Contributions:

• Pattern recognition at scale
• 24/7 continuous monitoring
• Statistical anomaly detection
• Multi-language analysis

Human Oversight:

• Contextual judgment calls
• Cultural sensitivity review
• Edge case resolution
• Appeals and corrections

Democratic Governance Revolution

Unlike centralized moderation, LLMFeed implements democratic governance with elected community councils, transparent appeals processes, and anti-corruption mechanisms.

🏛️ Flagging Council

• Multi-stakeholder elected representation
• Qualified majority with minority protection
• All decisions publicly auditable
• Regular elections and recall procedures

⚖️ Appeals Process

• Automated AI screening
• Diverse panel representation
• Community vote with veto protection
• Legal expert panel for edge cases

Anti-Corruption Mechanisms

Structural:

• Term limits for governance roles
• Separation of powers
• Checks and balances

Transparency:

• Cryptographic voting verification
• Public audit logs
• Real-time decision tracking

Protection:

• Whistleblower anonymity
• Minority veto power
• External audit requirements

Cryptoeconomic Incentives & Reputation Mining

Revolutionary reputation mining system where participants earn verifiable reputation through quality contributions, with sophisticated anti-gaming mechanisms.

🏆 Earning Reputation

• Accurate Flagging: Bonus for identifying real problems
• Quality Review: Rewards for thorough assessment
• Community Service: Governance participation recognition
• Whistleblowing: Protected rewards for serious violations

⚡ Anti-Gaming Protection

• Stake-weighted voting with anti-plutocracy
• Quadratic funding for community initiatives
• Sybil resistance through identity verification
• Long-term reputation staking requirements

💎 Economic Incentive Structure

{
  "incentive_structure": {
    "flagging_rewards": {
      "accurate_flags": "reputation_tokens_plus_monetary_bonus",
      "false_positives": "reputation_penalty_with_learning_credit",
      "malicious_flagging": "severe_reputation_loss_and_temporary_ban"
    },
    "governance_participation": {
      "council_service": "governance_tokens_with_voting_power",
      "community_voting": "participation_rewards_scaled_by_stake",
      "appeal_review": "expert_witness_compensation"
    }
  }
}

Industry-Specific Adaptations

The flagging system adapts to industry-specific requirements with specialized compliance checking, ethics review, and regulatory monitoring.

🏥 Healthcare

• HIPAA compliance flagging
• Medical ethics review
• Clinical trial integrity
• Patient safety monitoring

🏦 Financial Services

• SOX/PCI DSS/GDPR flagging
• Market manipulation detection
• Fiduciary duty monitoring
• Systemic risk assessment

🏛️ Government

• Constitutional compliance
• Democratic oversight
• Transparency requirements
• Civil rights protection

Implementation & Tools Integration

Ready to implement the flagging system? Here are the tools, examples, and integration guides to get started immediately.

🔧 Development Tools

Agent behavior override prompts

Complete schema with flagging structure

👀 Live Examples

Preview Flagged Feed

See flagging system in action

Verify Trust Status

Check feed trust and flags

🚀 Quick Implementation Example

// Agent behavior when encountering flagged feeds
if (feed.flags && feed.flags.length > 0) {
  const criticalFlags = feed.flags.filter(f => f.type === 'critical');
  
  if (criticalFlags.length > 0) {
    // Immediate rejection for critical flags
    return { action: 'reject', reason: 'Critical trust violations detected' };
  }
  
  // Warning for other flags
  return { 
    action: 'warn_user', 
    message: `This feed has ${feed.flags.length} community flag(s). Proceed with caution.`
  };
}

Join the Trust Revolution

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