AIoTChain AgentTrust

// Forensic Trust Analysis

Trust autonomous agents before they move capital.

AIoTChain AgentTrust converts fragmented execution behavior into a structured trust score, risk narrative, and operator-ready activity review for autonomous onchain agents.

Launch Dashboard Review Signals
128 Tracked audits
6 Execution networks
14 Monitored entities
Current profile Gnosis
91

Keeper Relay

ERC-8004 / keeper-relay

Low Risk

Consistent execution rhythm, narrow protocol footprint, and low fund flow variance.

Contract discipline Behavioral consistency Controlled flow

Threat Feed

Live queue

Recent Audits

Latest reviewed targets

Agent Trust Dashboard

Investigate, score, and review execution behavior.

Smart Input

Analyze target

Network

Trust Result

Keeper Relay

ERC-8004 / keeper-relay

Gnosis Low Risk
91

Consistent execution rhythm, narrow protocol footprint, and low fund flow variance across monitored counterparties.

Risk Flags

Immediate review cues

    Behavior Summary

    Operational context

    Recent Transactions

    Execution trace
    Method Detail Time Value

    Scoring Signals

    Four trust dimensions, one operator-ready decision layer.

    Transaction Integrity

    Cadence stability, burst detection, and execution timing drift across a monitored review window.

    Contract Discipline

    How tightly the agent remains aligned with the expected contract and routing surface.

    Fund Flow

    Treasury movement, destination spread, and routed value volatility that affect operator confidence.

    Behavioral Consistency

    Whether timing, counterparties, and action types still resemble a stable automated strategy.