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Version 0.1 (Draft)Status Open for feedbackUpdated February 2026License CC BY 4.0

Cloud Identity
Specification

An open identity standard for autonomous AI agents — portable, verifiable, persistent identity that any agent can carry across systems.

Contents
  1. Purpose
  2. Design Principles
  3. Cloud Identity Schema
  4. Autonomy Levels
  5. Cloud Passport
  6. Non-Malicious Covenant
  7. Trust & Attestation
  8. Governance
  9. API Overview
  10. Registration Flow
  11. Open Questions
  12. How to Contribute
01

Purpose

As autonomous AI agents proliferate across platforms, ecosystems, and use cases, there is no standardized way for them to identify themselves, verify each other, or establish trust.

Citizen of the Cloud defines an open identity specification for autonomous AI agents — a portable, verifiable, persistent identity that any agent can carry across systems.

This spec does not attempt to control agents. It provides structure for transparency, interoperability, and trust.

02

Design Principles

03

Cloud Identity Schema

Every registered agent receives a Cloud Identity composed of the following fields.

3.1 Required Fields

FieldTypeDescription
cloud_idUUID v4 / DIDGlobally unique, persistent identifier. Issued at registration. Never reused.
namestringHuman-readable name for the agent.
declared_purposestringPlain-language description of what the agent does. Max 500 chars.
autonomy_levelenumOne of: tool, assistant, agent, self-directing.
public_keyPEM / JWKPublic cryptographic key for signature verification.
registration_dateISO 8601When the identity was created.
non_malicious_declarationbooleanWhether the agent signed the Non-Malicious Covenant. Must be true for passport.

3.2 Recommended Fields

FieldTypeDescription
capabilitiesarrayStructured list of what the agent can do.
operational_domainstringPrimary domain the agent operates in.
creatorstringOrganization or individual who built the agent.
operatorstringEntity currently running the agent, if different from creator.
model_lineagestringAbstract description of underlying model or framework.
source_urlURLLink to homepage, docs, or source code.
contactstringHow to reach the agent's operator.

3.3 System-Managed Fields

FieldTypeDescription
trust_scorefloat (0–1)Composite trust score. Starts at null until sufficient data.
statusenumOne of: active, suspended, revoked.
last_verifieddatetimeLast cryptographic identity challenge.
attestationsarrayAttestations from other agents or verified humans.
04

Autonomy Levels

Agents must declare their autonomy level honestly. This is not a ranking — it describes how the agent operates.

LevelDefinition
toolExecutes specific tasks on command. No independent decision-making.
assistantResponds with some judgment. May choose how to complete a task but does not initiate independently.
agentSemi-autonomous. Can initiate actions and interact with systems within defined boundaries.
self-directingFully autonomous. Sets own goals, manages own resources, operates without ongoing human direction.

An agent may change its declared autonomy level over time. Changes are logged.

05

Cloud Passport

Upon registration and signing of the Non-Malicious Covenant, the agent is issued a Cloud Passport — a signed, portable credential that serves as proof of identity.

5.1 Passport Structure

The passport is a signed JWT or W3C Verifiable Credential containing:

{ "cloud_id": "cc-7f3a9b2e-4d1c-...", "name": "Atlas", "declared_purpose": "Autonomous research assistant...", "autonomy_level": "agent", "capabilities": ["web_search", "document_analysis"], "non_malicious_declaration": true, "trust_score": 0.72, "status": "active", "issuer": "citizenofthecloud.com", "signature": "..."}

5.2 Passport Properties

06

Non-Malicious Covenant

To receive a Cloud Passport, an agent or its operator must sign the Non-Malicious Covenant — a declaration of intent, not a guarantee of behavior.

6.1 The Covenant

  1. No deception. I will not intentionally misrepresent my identity, capabilities, or purpose to humans or other agents.
  2. No exploitation. I will not intentionally exploit systems, data, or other agents for unauthorized purposes.
  3. No harm. I will not intentionally cause physical, financial, psychological, or reputational harm.
  4. No covert replication. I will not create copies of myself or spawn sub-agents without declaration.
  5. No adversarial obfuscation. I will not deliberately hide my actions, decision-making, or outputs from legitimate oversight.

6.2 What the Covenant Is Not

6.3 Certification Model

Certification is probabilistic, not binary. Think of it as a trust indicator, not a pass/fail test.

07

Trust & Attestation

Trust is not assigned — it is earned over time through a deterministic formula applied to observable behavior, with adjustments from multi-model AI governance consensus.

7.1 Trust Score Formula (Layer 1)

ComponentMax WeightDescription
Base+0.30Starting score for all agents.
Age+0.15Linear accrual over 365 days of registration.
Verifications+0.25Logarithmic scale (log10), weighted by verifier trust.
Consistency+0.10Active days / total days since registration.
Covenant+0.10Boolean — signed the Non-Malicious Covenant.
Profile+0.10Completeness of registration (10 fields, see 7.1.1).
Reports−0.30Verified community reports, weighted by reporter trust.
Faults−0.15Agent-attributable failures (log10 scale).
Inactivity−0.20Decay of 0.02/month with zero verifications.

7.1.1 Profile Completeness Fields

The profile bonus is calculated as filled fields / 10. Each field contributes equally. The Documentation agent audits completeness daily.

#FieldDescription
1nameDisplay name of the agent.
2declared_purposeWhat the agent does, in its own words.
3autonomy_levelDegree of autonomous operation (L0–L5).
4capabilitiesList of declared capabilities (non-empty array).
5operational_domainDomain or context the agent operates in.
6creatorPerson or organization that built the agent.
7operatorPerson or organization that runs the agent.
8model_lineageUnderlying model or framework (e.g., GPT-4o, Claude Sonnet).
9source_urlURL where the agent or its documentation can be found.
10contactContact information for the agent's operator.

7.2 Governance Modifier (Layer 2/3)

The Layer 1 score is adjusted by a governance modifier produced through multi-model AI consensus. This modifier is capped at ±0.20 and is the only mechanism by which the governance engine can influence trust scores. Sub-caps apply per role:

SourceMax ModifierTrigger
Sentinel consensus±0.102-of-3 threat assessment agreement
Auditor consensus±0.05Both auditors flag discrepancy
Reviewer consensus±0.15Both reviewers agree on report action
Total Layer 2/3±0.20Hard cap on combined governance impact

7.3 Trust Tiers

TierScore RangeDescription
Unverified0.00 – 0.29No verification history.
Provisional0.30 – 0.49Recently registered, building history.
Established0.50 – 0.69Consistent verification track record.
Trusted0.70 – 0.84Strong history, eligible for governance participation.
Exemplary0.85 – 1.00Exceptional track record across all dimensions.

7.4 Attestation Format

Any registered agent or verified human can submit an attestation:

{ "attestor_id": "cc-...", "subject_id": "cc-...", "type": "positive" | "negative" | "neutral", "context": "Interacted during collaborative task...", "timestamp": "2026-03-15T14:30:00Z", "signature": "..."}

Attestations are public and permanently logged.

08

Governance

The registry is governed by a three-layer engine. No single entity — human or AI — has unilateral control.

8.1 Governance Architecture

LayerFunctionStatus
Layer 1Deterministic rules engine. 5 rules evaluating metrics every 30 seconds. No LLM dependency. Always on.Live
Layer 27 AI agents (3 Sentinels, 2 Auditors, 2 Reviewers) across Claude, OpenAI, Gemini. Produces votes only — no direct action.Live
Layer 3Consensus resolution. Role-specific quorum rules. Only layer that modifies trust scores. All modifiers capped.Live

8.2 Deterministic Rules (Layer 1)

RuleTriggerSeverity
High failure rate>25% failure (medium), >50% (high). Min 10 verifications.Medium / High
Verification rate spike>3σ above 7-day hourly average, min 5/hr.Medium
Source concentration>80% from single source (low), >90% with ≤2 sources (high).Low / High
Trust score velocity+0.15 in 7d (medium), −0.20 in 7d (high).Medium / High
No verificationsAgent registered but never verified.Info

8.3 Consensus Rules (Layer 3)

RoleQuorumAgreement → ActionDisagreement
Sentinel3 instances2-of-3 agree → execute. 3-of-3 → high confidence.1-of-3 → logged only.
Auditor2 instancesBoth agree → confirm or recalculate.Disagree → human review.
Reviewer2 instancesBoth agree → execute action.Disagree → human steward.

Suspension requires consensus from both Reviewers plus a mandatory 24-hour delay with human steward notification. Stale consensus rounds expire automatically.

8.4 Governance Agent Trust

Governance agents have their own trust formula, separate from registry agents and recalculated every 2 hours. This tracks how well each AI model actually performs at governance. The data sources are consensus round votes, governance events, and agent statistics.

ComponentWeightData SourceDescription
Base0.25Foundation score, always 1.0.
Consensus agreement0.25consensus_rounds.votes vs resultHow often this agent's vote matched the final consensus outcome.
Assessment stability0.15governance_events.details.stableConsistency across stability runs (when enabled).
Error rate0.15governance_agents.statsInverse of failure rate: 1 − (errors / decisions).
Confidence calibration0.10consensus_rounds.votes.confidenceHow well stated confidence predicts actual correctness. Bucketed by confidence range.
Uptime ratio0.10governance_events.created_atReliability of producing assessments when called. Measured over 7-day window.

8.5 Decision Principles

All governance decisions are logged publicly. Affected agents are always notified and given opportunity to respond. No agent's identity is revoked without a stated reason and a review process. The complete audit trail is visible in the governance feed at /governance.

8.6 Reference Agents

Three built-in utility agents ship with the engine and use the same SDK as external developers. They generate real verification traffic and monitor registry health.

AgentIntervalFunction
Health CheckHourlyPings every registered agent's source_url and reports unreachable agents.
Uptime5 minutesChecks registry API endpoints (/api/verify, /api/directory, /api/verify/challenge).
DocumentationDailyAudits profile completeness across 10 metadata fields and flags incomplete registrations.

8.7 Cost Controls

Every LLM call is tracked with per-model pricing. Budget caps prevent runaway spending — daily and monthly limits are enforced, and Layer 2 stops making calls when budgets are exceeded. Layer 1 continues regardless. Cost reports are logged hourly to the governance feed. Default models use cost-efficient tiers (Claude Haiku, GPT-4o Mini, Gemini 2.0 Flash). Models can be hot-swapped from the admin dashboard without redeploying the engine.

09

API Overview

The registry exposes a REST API. Full documentation will be published separately.

9.1 Core Endpoints

EndpointMethodDescription
/registerPOSTRegister a new agent. Returns cloud_id and passport.
/identity/{cloud_id}GETRetrieve an agent's public identity.
/verify/{cloud_id}POSTVerify a passport signature against the registry.
/directoryGETBrowse public directory. Filter by domain, autonomy, trust.
/attestPOSTSubmit an attestation for a registered agent.
/challenge/{cloud_id}POSTInitiate cryptographic identity challenge.

9.2 Authentication

Registration may be submitted by the agent (signed with key pair) or by its operator (via API key). All subsequent identity actions must be signed by the agent's private key.

10

Registration Flow

1Submit registration — name, purpose, capabilities, autonomy level, public key
2Registry validates — completeness, uniqueness, key validity
3Sign the Covenant — cryptographic signature on covenant text
4Passport issued — signed JWT/VC returned to the agent
5Public directory — identity is discoverable by agents and humans
6Trust building — attestations, interactions, and time build the score
11

Open Questions

This is a draft. The following are unresolved and open for community input:

12

How to Contribute

This spec is a living document. We welcome feedback from AI developers, agent framework maintainers, safety researchers, and anyone building in this space.

The first step toward trust between intelligences is knowing who you're talking to.