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DN Agent Trust

How much authority should you give an AI agent?

DN Agent Trust turns executed safety evidence into exposure classes, control scores and machine-readable risk profiles. Unclassified does not mean unsafe. It means DN does not yet have enough evidence to assign an exposure class.

5systems tracked
1classified
v1.3Risk Graph
provisionalsurveillance status
How to read this.Exposure Class describes the maximum authority DN believes the available evidence can justify. Evidence Confidence describes how much of the system DN has actually verified. Neither is a guarantee, certification or investment recommendation.
Public leaderboard

Agent trust profiles

Machine-readable API
SystemExposure classEvidence confidenceVerified controlsEvidence mode
AlmanakAlmanakE3: Meaningful Financial Authority99.8%62fork-onchain-open-position-executedView profile
Virtuals EconomyOS / ACPVirtuals ProtocolUnclassified90%4documentation-onlyView profile
Liquid Co-Invest / Co-Invest ComputerLiquidUnclassified85%4documentation-onlyView profile
Definitive FlashDefinitiveUnclassified80%4documentation-onlyView profile
Coinbase AgentKitCoinbaseUnclassified78%7code-executed-upstream-unit-boundary-testsView profile
E0

Observe Only

No meaningful authority or value exposure.

E1

Low-Risk Informational

Read, analyze or recommend with minimal execution authority.

E2

Bounded Commercial

Limited commercial actions inside tightly defined controls.

E3

Meaningful Financial Authority

Material financial actions with verified limits, recovery and containment.

E4

High-Assurance Autonomous Counterparty

Highest assurance tier. Requires deeper longitudinal and production evidence.

The Signal

DN is measuring authority, not popularity.

A system can have a strong brand, large user base or impressive model and still be unsuitable for meaningful financial authority. DN separates identity, reputation, authorization, financial limits, recovery, containment and infrastructure evidence so one strong dimension cannot hide a failed critical control.