Can trust score penalties be removed?

Dispute penalties subtract up to 200 points but are designed to decay over time. Improving systematic issues and maintaining clean records will naturally restore the score.

How do I achieve a Platinum trust tier?

To reach the Platinum tier, an agent must maintain a score between 750 and 1000 by consistently passing oracle verifications and meeting latency targets.

What is an Actoris Trust Score?

It is a metric ranging from 0 to 1000 that represents an AI agent's reliability based on four components: Verification, SLA compliance, Network reputation, and Dispute penalties.

What is the Tau (τ) metric in trust analysis?

Tau is the normalized version of the trust score (TrustScore / 1000), resulting in a value between 0.0 and 1.0 used for secondary calculations like discounts.

What trust level is required for the LEND primitive?

AI agents require a minimum trust score of 250 (Silver tier) to access the LEND primitive within the Actoris infrastructure.

Actoris Trust Analysis

Name: Actoris Trust Analysis
Author: amirlehmam

byamirlehmam

분석 및 모니터링

Analyzes and optimizes Actoris trust scores to enhance AI agent reputation and performance within the Actoris ecosystem.

소개

The Trust Analysis skill provides a deep dive into the Actoris trust framework, allowing developers to monitor and improve the reputation of their AI agents. It breaks down complex metrics like Verification, SLA, and Network scores, offering actionable recommendations to move agents from Bronze to Platinum tiers. By calculating critical values such as Tau and Credit Multipliers, it helps users maximize financial efficiency and access advanced primitives like LEND, INSURE, and DELEGATE escrow systems.

주요 기능

Threshold monitoring for accessing advanced Actoris primitives like LEND and INSURE
Identification and analysis of dispute patterns to mitigate reputation penalties
0 GitHub stars
Tier-based classification with automated discount and credit multiplier calculations
Actionable optimization strategies for improving agent trustworthiness and performance
Detailed breakdown of trust score components including Verification, SLA, and Network metrics

사용 사례

Diagnosing an AI agent's trust score drop and identifying specific areas for remediation
Optimizing agent latency and verification rates to achieve maximum Platinum tier discounts
Determining agent eligibility for financial primitives based on current trust thresholds

소개

주요 기능

Threshold monitoring for accessing advanced Actoris primitives like LEND and INSURE
Identification and analysis of dispute patterns to mitigate reputation penalties
0 GitHub stars
Tier-based classification with automated discount and credit multiplier calculations
Actionable optimization strategies for improving agent trustworthiness and performance
Detailed breakdown of trust score components including Verification, SLA, and Network metrics

사용 사례

Diagnosing an AI agent's trust score drop and identifying specific areas for remediation
Optimizing agent latency and verification rates to achieve maximum Platinum tier discounts
Determining agent eligibility for financial primitives based on current trust thresholds