reputation-signal

Agent reliability scoring from task history quantifies performance to inform delegation. The system evaluates task outcomes and applies domain-specific scoring across risk levels to produce evidence-based recommendations for trust calibration.

Evidence-based trust calibration replaces static role-based trust with dynamic evaluation. It analyzes agent task history to quantify reliability, applying domain-specific scoring and decay protocols to generate auditable reputation reports.

A reputation decay protocol applies trend-aware maintenance to older agent performance history. This ensures outdated task outcomes have reduced impact on current reliability scoring, triggering explicit re-evaluation when thresholds are met.

Yes, generating an auditable reputation report supports agent governance and incident response. The system outputs detailed evidence-based reliability evaluations, documenting domain-specific risk scoring and trust calibration triggers for review.

Multi-agent risk scoring evaluates reliability across varying domain-specific risk levels. The system quantifies agent performance history and applies differentiated scoring weights to produce accurate trust calibration for delegation.

Re-evaluation of agent trust scores should trigger when the maintenance decay protocol identifies significant shifts in performance history. Explicit re-evaluation triggers ensure reputation reports reflect current evidence rather than outdated reliability trends.