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TG-MIB

TrustGate Management Information Base

1. Purpose

TrustGate (TG) is the primary assurance gateway of the ZAYAZ platform.

The TrustGate Management Information Base (MIB) defines the operational runtime behavior, interfaces, APIs, event contracts, processing pipeline, storage models, governance controls, and integration specifications required for implementation and operation of TrustGate across the ZAYAZ ecosystem.

While the TrustGate architectural specification describes the purpose and role of TrustGate within the broader assurance architecture, this document serves as the implementation blueprint for engineers, platform operators, assurance teams, auditors, and integration developers.

The MIB establishes the canonical operational specification for:

Signal ingestion
Trust evaluation
Trust scoring
Quarantine handling
Assurance evidence generation
Replay support
DAL anchoring
Federation exchange
DSAIL learning feedback
AII contribution

TrustGate operates as the first assurance decision point within ZAYAZ and is responsible for preventing low-confidence information from entering downstream sustainability calculations, reporting pipelines, and regulatory disclosures.

2. Scope

TrustGate evaluates all inbound assurance-relevant signals entering the ZAYAZ ecosystem.

Supported signal classes include:

Signal Category	Examples
Financial Signals	AP invoices, purchase orders, ERP transactions
Product Signals	Carbon Passports, DPP records, EPCIS events
Environmental Signals	Meter readings, sensor streams, utility consumption
Supplier Signals	ESG questionnaires, declarations, attestations
Verification Signals	Auditor evidence, replay outcomes
Federation Signals	AFLE trust attestations, federation updates
Governance Signals	Policy acknowledgements, certification records
AI Signals	DSAIL recommendations, anomaly detections

All supported signal types ultimately produce trust artifacts suitable for:

DAL anchoring
OARM replay
AII scoring
AFLE federation exchange
Carbon Passport generation
Regulatory disclosures

3. Position Within the Assurance Architecture

3.1 Assurance Flow

Input Hub
    │
    ▼

TrustGate
    │
    ▼

ZSSR
    │
    ▼

Domain Engines
    │
    ▼

DAL
    │
    ▼

DSAIL
    │
    ▼

AII

TrustGate performs the initial trust evaluation before any signal enters the assurance processing chain.

3.2 Upstream Dependencies

Component	Purpose
Input Hub	Signal ingestion
SSSR	Schema validation
ZAR	Component validation
ECO Registry	Identity verification
EGFS	Federation lookup
AFLE	External attestations

3.3 Downstream Consumers

Component	Purpose
ZSSR	Routing decisions
DAL	Assurance anchoring
OARM	Replay validation
DSAIL	Learning feedback
AII	Trust intelligence scoring
Carbon Passport Engine	Product assurance
EIF	External interoperability

4. Core Responsibilities

TrustGate performs six primary operational functions.

4.1 Signal Validation

Validation of:

Structure
Schema compliance
Data completeness
Referential integrity
Identity integrity

4.2 Trust Evaluation

Computation of confidence metrics based on:

Provenance
Quality
Consistency
Federation verification
Historical performance

4.3 Assurance Evidence Generation

Creation of:

Trust artifacts
Replay artifacts
DAL anchors
Verification metadata

4.4 Quarantine Management

Isolation of:

Low-trust records
Failed validations
Suspicious patterns
Federated conflicts

4.5 Federation Assurance

Validation of:

AFLE attestations
Carbon Passports
Federated trust evidence
Cross-ECO exchanges

4.6 Learning Feedback

Publishing assurance outcomes to DSAIL for continuous model improvement.

5. Runtime Architecture

5.1. TrustGate Processing Pipeline

TrustGate operates as a deterministic assurance gateway.

Every inbound signal passes through a fixed processing sequence before being accepted, routed, quarantined, or escalated.

The canonical TrustGate runtime order is:

Signal Ingestion
       │
       ▼
Parser
       │
       ▼
Structure Validation
       │
       ▼
Normalizer
       │
       ▼
Enrichment
       │
       ▼
Rule Evaluation
       │
       ▼
Policy Resolution
       │
       ▼
Trust Scoring
       │
       ▼
Decision Engine
       │
       ├── ACCEPT
       ├── ROUTE
       ├── ESCALATE
       ├── QUARANTINE
       └── REJECT
       │
       ▼
DAL Anchoring
       │
       ▼
Event Publication

Structure Validation occurs before normalization and verifies that the parsed payload is admissible, structurally coherent, and safe to normalize.

Rule Evaluation occurs after enrichment and evaluates governed validation rules against the normalized and enriched canonical signal.

Policy Resolution occurs before Trust Scoring because Trust Scoring consumes POLICY-CONTEXT as a mandatory input.

Implementations SHALL NOT execute Trust Scoring before Policy Resolution.

5.2. Runtime Components

Component	Responsibility
Signal Parser	Parses inbound payloads into canonical runtime objects
Structure Validator	Performs pre-normalization structural validation
Signal Normalizer	Normalizes identifiers, units, timestamps, schemas, and payload shape
Identity Resolver	Verifies ECO Number, USO, CSI, and relevant identity references
Evidence Enricher	Adds contextual metadata, provenance, federation references, and evidence links
Rule Evaluation Engine	Executes governed validation rules against normalized and enriched signals
Policy Resolution Engine	Resolves `POLICY-CONTEXT`, thresholds, regulatory constraints, federation constraints, and tenant policies
Trust Scoring Engine	Calculates trust using resolved `POLICY-CONTEXT` and constitutional evidence
Decision Engine	Selects ACCEPT, ROUTE, ESCALATE, QUARANTINE, or REJECT
Event Publisher	Publishes runtime, trust, replay, and federation events
DAL Connector	Performs assurance anchoring
Replay Connector	Registers replay artifacts and OARM references
Federation Connector	Handles AFLE and federation interactions

5.3. Processing Guarantees

TrustGate guarantees:

Deterministic execution
Idempotent processing
Replay reproducibility
Cryptographic auditability
DAL anchoring
USO traceability

Every accepted signal SHALL produce:

USO lineage reference
Trust evaluation record
Replay artifact
DAL anchor reference

6. Trust Evaluation Engine

6.1. Purpose

The Trust Evaluation Engine computes the confidence level associated with a signal.

The Trust Evaluation Engine SHALL execute only after Policy Resolution has produced a resolved POLICY-CONTEXT.

Trust scores are represented as:

0 \leq T \leq 1

where:

0 = completely untrusted
1 = fully trusted

6.2. Trust Inputs

Category	Example
Source Trust	Historical supplier trust
Identity Trust	ECO verification status
Structure Quality	Pre-normalization structure validation
Data Completeness	Missing field analysis
Rule Evaluation	Governed validation rule outcomes
Policy Context	Resolved `POLICY-CONTEXT`
Historical Accuracy	Previous replay outcomes
Federation Validation	AFLE verification
DAL Verification	Ledger proof validation
AI Recommendations	DSAIL modifiers

6.3. Composite Trust Formula

The default TrustGate trust score is calculated as:

T = w_sS + w_iI + w_qQ + w_rR + w_pP + w_hH + w_fF + w_dD

Where:

Variable	Description
$S$	Source trust
$I$	Identity confidence
$Q$	Data quality
$R$	Rule evaluation quality
$P$	Resolved policy context
$H$	Historical reliability
$F$	Federation validation
$D$	DAL verification confidence

and

\sum w = 1

6.4. Confidence Interval

TrustGate stores confidence separately from trust score.

CI = 1 - \sigma(T)

Where:

$\sigma$ = observed trust variance

Low confidence may trigger escalation despite a high trust score.

6.5. Trust Classification

Range	Classification
0.95 – 1.00	Verified
0.85 – 0.95	Trusted
0.70 – 0.85	Conditional
0.50 – 0.70	Review Required
< 0.50	Quarantine

7. Decision Engine

7.1. Decision Logic

TrustGate evaluates trust score, confidence, resolved policy context, and federation constraints.

The Decision Engine consumes the Trust Score produced after Policy Resolution. It does not resolve scoring policy retroactively.

Possible outcomes:

Outcome	Description
ACCEPT	Signal accepted
ROUTE	Routed to next processor
ESCALATE	Human review required
QUARANTINE	Signal isolated
REJECT	Signal discarded

7.2. Decision Formula

Decision = f(T,CI,P,R)

Where:

Variable	Meaning
$T$	Trust Score
$CI$	Confidence Interval
$P$	Resolved policy context
$R$	Regulatory Constraints

7.3. Example Decision

decision-engine-example.jsonGitHub ↗
{
  "trust_score": 0.91,
  "confidence": 0.94,
  "policy_passed": true,
  "decision": "ACCEPT"
}

8. Input Contracts

8.1. Canonical Input Structure

All TrustGate inputs SHALL conform to the following envelope.

trustgate-envelope.jsonGitHub ↗
{
  "event_id": "EVT-2026-001245",
  "eco_number": "ECO-A123",
  "signal_type": "invoice",
  "source_system": "SAP",
  "payload": {},
  "received_at": "2026-01-15T18:30:00Z"
}

8.2. Required Fields

Field	Required
`event_id`	Yes
`eco_number`	Yes
`signal_type`	Yes
`payload`	Yes
`received_at`	Yes

8.3. Identity Verification

TrustGate SHALL verify:

trustgate-id-verify.jsonGitHub ↗
{
  "eco_number": "ECO-A123",
  "did": "did:zayaz:ECO-A123",
  "status": "verified"
}

using:

ECO Registry
EGFS Federation Registry
DAL Anchors

before processing continues.

9. Output Contracts

9.1. Trust Assessment Record

trust-assessment-record.jsonGitHub ↗
{
  "assessment_id": "TG-2026-001245",
  "eco_number": "ECO-A123",
  "trust_score": 0.91,
  "confidence": 0.94,
  "classification": "trusted",
  "decision": "ACCEPT",
  "created_at": "2026-01-15T18:30:00Z"
}

9.2. Replay Artifact

replay-artifact.jsonGitHub ↗
{
  "replay_id": "RPL-2026-001245",
  "assessment_id": "TG-2026-001245",
  "replayable": true,
  "uso_id": "01JBF0W8S9Q0R1S2T3U4V5W6X"
}

9.3. DAL Reference

dal-reference.jsonGitHub ↗
{
  "dal_ref": {
    "ledger_id": "DAL-2026-001245",
    "root_hash": "2dcb5a18f3d55b1f0a3a...",
    "verified": true
  }
}

10. Trust Events

10.1. Event Publication

TrustGate emits assurance events for downstream systems.

Topic:

trustgate.events.v1

10.2. Trust Event Schema

trust-event-schema.jsonGitHub ↗
{
  "event_type": "trust.evaluated",
  "assessment_id": "TG-2026-001245",
  "eco_number": "ECO-A123",
  "trust_score": 0.91,
  "confidence": 0.94,
  "decision": "ACCEPT",
  "timestamp": "2026-01-15T18:30:00Z"
}

10.3. Quarantine Event

quarantine-event.jsonGitHub ↗
{
  "event_type": "trust.quarantine",
  "assessment_id": "TG-2026-001246",
  "eco_number": "ECO-B456",
  "trust_score": 0.41,
  "reason": "identity_conflict",
  "timestamp": "2026-01-15T18:32:00Z"
}

10.4. Replay Event

replay-event.jsonGitHub ↗
{
  "event_type": "trust.replay.created",
  "replay_id": "RPL-2026-001245",
  "assessment_id": "TG-2026-001245",
  "uso_id": "01JBF0W8S9Q0R1S2T3U4V5W6X"
}

10.5. DSAIL Learning Event

dsail-learning-event.jsonGitHub ↗
{
  "event_type": "trust.learning.feedback",
  "eco_number": "ECO-A123",
  "trust_score": 0.91,
  "verified_score": 0.88,
  "delta": -0.03,
  "model_cmi": "DSAIL.TrustLearner.Model.Core.2_1_0"
}

11. API Specification

11.1. Overview

TrustGate exposes REST and gRPC interfaces for:

Signal ingestion
Trust assessment
Replay retrieval
DAL verification
Federation validation
Administrative operations
Health monitoring

All APIs SHALL be versioned.

Example:

/api/v1/trustgate/*

11.2. Signal Submission API

Endpoint

POST /api/v1/trustgate/signals

Request

signal-submission-api-request.jsonGitHub ↗
{
  "eco_number": "ECO-A123",
  "signal_type": "invoice",
  "payload": {
    "invoice_number": "INV-2026-001",
    "amount": 2500.00,
    "currency": "EUR"
  }
}

Response

signal-submission-api-response.jsonGitHub ↗
{
  "assessment_id": "TG-2026-001245",
  "status": "accepted",
  "trust_score": 0.91,
  "confidence": 0.94,
  "decision": "ACCEPT"
}

11.3. Assessment Lookup API

Endpoint

GET /api/v1/trustgate/assessments/{assessment_id}

Response

assessment-lookup-api-response.jsonGitHub ↗
{
  "assessment_id": "TG-2026-001245",
  "eco_number": "ECO-A123",
  "trust_score": 0.91,
  "confidence": 0.94,
  "classification": "trusted",
  "decision": "ACCEPT",
  "dal_ref": "DAL-2026-001245"
}

11.4. Replay API

Endpoint

POST /api/v1/trustgate/replay/{assessment_id}

Response

replay-api-response.jsonGitHub ↗
{
  "replay_id": "RPL-2026-001245",
  "status": "queued",
  "estimated_completion_seconds": 15
}

12. OARM Integration

12.1. Purpose

TrustGate SHALL integrate with the Operational Assurance and Replay Mechanisms (OARM) framework.

Every trust assessment SHALL be reproducible.

12.2. Replay Artifact Generation

Each TrustGate decision SHALL generate:

replay-artifact-generation.jsonGitHub ↗
{
  "replay_id": "RPL-2026-001245",
  "assessment_id": "TG-2026-001245",
  "uso_id": "01JBF0W8S9Q0R1S2T3U4V5W6X",
  "input_hash": "f912cb...",
  "configuration_hash": "ab62fd...",
  "model_hash": "c9af31...",
  "replayable": true
}

12.3. Replay Verification Formula

Replay integrity is evaluated as:

RI = \frac{Successful\ Replays}{Total\ Replay\ Attempts}

Where:

$RI$ = Replay Integrity

Expected value:

RI \ge 0.99

12.4. Replay Event

qarm-replay-event.jsonGitHub ↗
{
  "event_type": "trustgate.replay.completed",
  "replay_id": "RPL-2026-001245",
  "result": "PASS",
  "timestamp": "2026-01-15T18:42:00Z"
}

13. DAL Integration

13.1. Purpose

TrustGate SHALL anchor all finalized assessments into DAL.

This guarantees:

Immutability
Non-repudiation
Auditability
Cross-ECO verification

13.2. DAL Submission Record

dal-submission-record.jsonGitHub ↗
{
  "assessment_id": "TG-2026-001245",
  "trust_score": 0.91,
  "decision": "ACCEPT",
  "hash": "3bfa2ec9d2f...",
  "submitted_at": "2026-01-15T18:30:00Z"
}

13.3. DAL Verification Response

dal-verification-response.jsonGitHub ↗
{
  "ledger_id": "DAL-2026-001245",
  "root_hash": "2dcb5a18f3d55b1f0a3a...",
  "verified": true
}

13.4. Merkle Verification

Verification SHALL use Merkle inclusion proofs.

Example:

{
  "proof": {
    "leaf_hash": "3bfa2e...",
    "root_hash": "2dcb5a18f3d55b1f0a3a...",
    "verified": true
  }
}

14. AFLE Integration

14.1. Purpose

TrustGate SHALL support federation-wide trust exchange through AFLE.

Trust assessments may be shared between ECO entities.

14.2. Trust Attestation

{
  "attestation_id": "ATT-2026-00877",
  "eco_number": "ECO-A123",
  "trust_score": 0.93,
  "confidence": 0.91,
  "dal_ref": "DAL-2026-001245"
}

14.3. Federated Verification

TrustGate SHALL validate:

Signature validity
DAL anchors
ECO identity
Trust freshness
Policy compliance

before federated trust can be consumed.

15. Carbon Passport Integration

15.1. Purpose

TrustGate SHALL act as the assurance gateway for Carbon Passport generation.

15.2. Supported Passport Artifacts

Artifact	Purpose
Carbon Passport	Product assurance
Product Carbon Footprint	Emissions transparency
DPP Record	Product compliance
Supplier Attestation	Supply-chain verification
Lifecycle Calculation	Sustainability evidence

15.3. Passport Trust Reference

{
  "passport_id": "CP-2026-00087",
  "trust_assessment": "TG-2026-001245",
  "trust_score": 0.91,
  "verified": true
}

16. DSAIL Integration

16.1. Purpose

TrustGate continuously feeds assurance outcomes into DSAIL.

This enables:

Trust calibration
Anomaly detection
Confidence tuning
Routing optimization

16.2. Learning Feedback Record

{
  "event_type": "trust.learning.feedback",
  "assessment_id": "TG-2026-001245",
  "eco_number": "ECO-A123",
  "trust_score": 0.91,
  "verified_score": 0.88,
  "delta": -0.03,
  "model_cmi": "DSAIL.TrustLearner.Model.Core.2_1_0"
}

16.3. Trust Drift Formula

TD = T_{verified} - T_{predicted}

Where:

$TD$ = Trust Drift

Large drift values indicate model recalibration needs.

16.4. Model Feedback Frequency

Event Type	Frequency
Trust Evaluations	Continuous
Replay Outcomes	Continuous
DAL Verifications	Daily
Audit Results	Continuous
Federated Trust Updates	Daily

17. AII Integration

17.1. Purpose

TrustGate contributes assurance telemetry to the Assurance Intelligence Index (AII).

17.2. AII Metrics Produced

Metric	Description
Trust Accuracy	Predicted vs verified
Replay Success	OARM outcomes
Verification Efficiency	Cost vs verification
Assurance Resilience	Trust stability
Integrity	DAL validation

17.3. Contribution Payload

{
  "eco_number": "ECO-A123",
  "assessment_count": 12045,
  "avg_trust": 0.91,
  "trust_variance": 0.03,
  "replay_success_rate": 0.997,
  "dal_verification_rate": 1.0
}

18. Federation Integration

18.1. EGFS Participation

TrustGate participates in:

Federation identity validation
Trust synchronization
Assurance exchange
Carbon Passport verification

18.2. Federation Message

{
  "federation_id": "FED-2026-00077",
  "source_eco": "ECO-A123",
  "target_eco": "ECO-B456",
  "payload_type": "trust_attestation",
  "payload_hash": "f91c35b6f21c...",
  "timestamp": "2026-01-15T18:30:00Z",
  "verified": true
}

18.3. Trust Freshness Formula

Trust assertions become stale over time.

TF = e^{-\lambda \Delta t}

Where:

$TF$ = Trust Freshness
$\lambda$ = decay coefficient
$\Delta t$ = elapsed time

Federated trust exchanges SHALL include freshness metadata.

19. Data Model

19.1. Trust Assessment Entity

{
  "assessment_id": "TG-2026-001245",
  "eco_number": "ECO-A123",
  "signal_type": "invoice",
  "trust_score": 0.91,
  "confidence": 0.94,
  "decision": "ACCEPT",
  "dal_ref": "DAL-2026-001245",
  "created_at": "2026-01-15T18:30:00Z"
}

19.2. Trust Assessment Fields

Field	Type
assessment_id	UUID
eco_number	String
signal_type	String
trust_score	Decimal
confidence	Decimal
decision	Enum
dal_ref	String
created_at	Timestamp

20. Storage Schema

20.1. trust_assessments

CREATE TABLE trust_assessments (
    assessment_id UUID PRIMARY KEY,
    eco_number TEXT NOT NULL,
    signal_type TEXT NOT NULL,
    trust_score NUMERIC(5,4),
    confidence NUMERIC(5,4),
    decision TEXT,
    dal_ref TEXT,
    created_at TIMESTAMP
);

20.2. replay_artifacts

CREATE TABLE replay_artifacts (
    replay_id UUID PRIMARY KEY,
    assessment_id UUID,
    uso_id TEXT,
    replay_status TEXT,
    created_at TIMESTAMP
);

20.3. trust_events

CREATE TABLE trust_events (
    event_id UUID PRIMARY KEY,
    event_type TEXT,
    payload JSONB,
    created_at TIMESTAMP
);

21. Security Architecture

21.1. Purpose

TrustGate operates as the first assurance boundary within the ZAYAZ ecosystem and therefore constitutes a critical security component.

All incoming signals, trust evaluations, replay operations, assurance attestations, and federation exchanges SHALL pass through cryptographically verifiable security controls.

TrustGate security architecture is built upon:

Zero Trust principles
Defense-in-depth
Cryptographic verifiability
Replayability
Federation-aware identity management
Continuous assurance monitoring

21.2. Security Domains

Domain	Purpose
Signal Security	Protect incoming data integrity
Identity Security	Verify actors and systems
Trust Security	Protect scoring and decisions
Replay Security	Ensure deterministic re-execution
Ledger Security	Prevent historical tampering
Federation Security	Secure Cross-ECO exchanges
AI Security	Govern DSAIL-assisted decisions

21.3. Trust Boundary Architecture

External Sources
        │
        ▼
┌────────────────────┐
│ Parser             │
└─────────┬──────────┘
          │
          ▼
┌────────────────────┐
│ Structure Validation│
└─────────┬──────────┘
          │
          ▼
┌────────────────────┐
│ Normalization      │
└─────────┬──────────┘
          │
          ▼
┌────────────────────┐
│ Enrichment         │
└─────────┬──────────┘
          │
          ▼
┌────────────────────┐
│ Rule Evaluation    │
└─────────┬──────────┘
          │
          ▼
┌────────────────────┐
│ Policy Resolution  │
└─────────┬──────────┘
          │
          ▼
┌────────────────────┐
│ Trust Scoring      │
└─────────┬──────────┘
          │
          ▼
┌────────────────────┐
│ Decision           │
└─────────┬──────────┘
          │
          ▼
┌────────────────────┐
│ DAL Anchoring      │
└─────────┬──────────┘
          │
          ▼
Federation / Internal Systems

No signal may bypass TrustGate evaluation.

22. Cryptographic Requirements

22.1. Approved Algorithms

Function	Algorithm
Hashing	SHA-256
Signatures	Ed25519
Federation Certificates	X.509
Key Exchange	ECDH
Merkle Trees	SHA-256
Storage Encryption	AES-256-GCM
Transport Encryption	TLS 1.3

22.2. Hash Generation

TrustGate SHALL generate hashes for:

Incoming payloads
Replay artifacts
Assessment results
Trust attestations
Federation messages

Example:

{
  "hash_algorithm": "SHA-256",
  "payload_hash": "f91c35b6f21c..."
}

22.3. Signature Verification

Every federated artifact SHALL be validated.

{
  "signature": {
    "algorithm": "Ed25519",
    "verification_method": "did:zayaz:ECO-A123#trustgate-key",
    "verified": true
  }
}

22.4. Merkle Integrity Validation

TrustGate SHALL validate DAL inclusion proofs.

Example:

{
  "proof": {
    "leaf_hash": "3bfa2e...",
    "root_hash": "2dcb5a18f3d55b1f0a3a...",
    "verified": true
  }
}

23. Identity & Access Control

23.1. Identity Sources

TrustGate supports:

Identity Type	Example
User	auditor@company.com
Service Account	tg-router-service
ECO Identity	ECO-A123
Federation Node	did:zayaz:ECO-A123
Regulator	EU-CSRD
Verifier	SGS-EU

23.2. Role-Based Access Control (RBAC)

Role	Permissions
Operator	View assessments
Reviewer	Manual trust review
Auditor	Replay verification
Administrator	Configuration management
Federation Node	Trust exchange
Regulator	Read-only assurance access

23.3. Attribute-Based Controls (ABAC)

Additional controls include:

Region
ECO ownership
Reporting period
Data classification
Federation policy level

23.4. Example Access Policy

{
  "role": "auditor",
  "resource": "trust_assessment",
  "actions": [
    "read",
    "replay"
  ]
}

24. Runtime Configuration

24.1. Trust Threshold Configuration

trustgate:
  thresholds:
    accept: 0.85
    review: 0.70
    quarantine: 0.50

24.2. Confidence Thresholds

trustgate:
  confidence:
    minimum: 0.80
    warning: 0.60

24.3. Replay Policies

replay:
  retention_days: 3650
  mandatory_for:
    - carbon_passports
    - assurance_reports
    - ai_adjustments

24.4. DAL Policies

dal:
  anchoring_interval_minutes: 60
  merkle_batch_size: 50000
  verify_before_publish: true

24.5. Federation Policies

federation:
  trust_freshness_days: 90
  require_dal_validation: true
  require_signature_validation: true

25. Monitoring & Observability

25.1. Overview

TrustGate SHALL expose operational telemetry via:

OpenTelemetry
Prometheus
Grafana
VIZZ
DAL Metrics APIs

25.2. Core Metrics

Metric	Description
assessments_total	Total evaluations
accepted_total	Accepted signals
review_total	Manual review cases
quarantined_total	Rejected signals
replay_success_rate	Replay integrity
dal_anchor_success_rate	DAL success
trust_drift	AI deviation
federation_exchanges	Cross-ECO volume

25.3. Prometheus Example

trustgate_assessments_total 12345678
trustgate_avg_score 0.91
trustgate_replay_success_rate 0.998

25.4. Health Endpoint

GET /api/v1/trustgate/health

Response:

{
  "status": "healthy",
  "version": "2.1.0",
  "dal_connected": true,
  "federation_connected": true
}

26. VIZZ Dashboards

26.1. Operational Dashboard

Displays:

Trust scores
Acceptance rates
Manual review backlog
Quarantine trends

26.2. Assurance Dashboard

Displays:

Replay outcomes
DAL verification status
Trust drift
Audit findings

26.3. Federation Dashboard

Displays:

Cross-ECO exchanges
Attestation validation
Carbon Passport verification
Federation node health

26.4. AI Dashboard

Displays:

Model confidence
Trust evolution
DSAIL recommendations
AII contribution metrics

27. Performance & Scalability

27.1. Design Targets

Metric	Target.
Assessment Latency	`< 200 ms`
Replay Creation	`< 5 sec`
DAL Submission	`< 1 min`
Federation Validation	`< 2 sec`
Availability	`99.95%`

27.2. Throughput Targets

Workload	Target
Invoice Processing	`50,000/min`
Sensor Signals	`1,000,000/min`
Federation Messages	`100,000/day`
Replay Requests	`10,000/day`

27.3. Horizontal Scaling

TrustGate SHALL support:

Kubernetes deployment
Stateless processing
Distributed caching
Multi-region deployment
Federation-aware failover

27.4. Multi-Tenant Isolation

Isolation SHALL occur at:

Database layer
Cache layer
Queue layer
Replay layer
Federation layer

28. Operational Runbooks

28.1. Replay Failure

Trigger:

Replay Result != Original Result

Actions:

Generate replay incident.
Freeze affected assessments.
Notify assurance team.
Initiate forensic replay.

28.2. DAL Failure

Trigger:

DAL Anchor Verification Failed

Actions:

Suspend publication.
Recompute Merkle tree.
Re-submit anchor.
Notify administrators.

28.3. Trust Drift Incident

Trigger:

|T_{verified} - T_{predicted}| > 0.15

Actions:

Flag DSAIL model.
Increase sampling rate.
Schedule assurance review.

28.4. Federation Incident

Trigger:

Cross-ECO Verification Failure

Actions:

Quarantine federation payload.
Validate DID.
Validate DAL proof.
Notify source ECO.

29. End-to-End Example — AP Invoice

29.1. Flow

Invoice
   ↓
TrustGate
   ↓
Trust Score = 0.91
   ↓
DAL Anchor
   ↓
AII Update
   ↓
Carbon Passport

29.2. Assessment Record

{
  "assessment_id": "TG-2026-001245",
  "eco_number": "ECO-A123",
  "signal_type": "invoice",
  "trust_score": 0.91,
  "confidence": 0.94,
  "decision": "ACCEPT"
}

30. End-to-End Example — Carbon Passport

30.1. Flow

Emission Data
     ↓
TrustGate
     ↓
Replay Artifact
     ↓
DAL Anchor
     ↓
AFLE Attestation
     ↓
Carbon Passport

30.2. Trust Reference

{
  "passport_id": "CP-2026-00087",
  "trust_assessment": "TG-2026-001245",
  "trust_score": 0.91,
  "verified": true
}

31. End-to-End Example — Federated Exchange

31.1. Flow

ECO-A123
      ↓
Trust Attestation
      ↓
AFLE
      ↓
ECO-B456
      ↓
Trust Validation

31.2. Federation Message

{
  "federation_id": "FED-2026-00077",
  "source_eco": "ECO-A123",
  "target_eco": "ECO-B456",
  "payload_type": "trust_attestation",
  "verified": true
}

32. Governance & Compliance

32.1. Applicable Frameworks

Framework	Coverage
CSRD	Assurance evidence
ESRS	Disclosure validation
ISO 14064-1	GHG verification
ISO 27001	Security controls
EU AI Act	AI governance
GHG Protocol	Emissions assurance

32.2. Governance Integration

TrustGate SHALL integrate with:

OARM
DAL
AFLE
DSAIL
AII
FAGF
EGFS

32.3. Assurance Requirements

Every TrustGate decision SHALL be:

Traceable
Replayable
Explainable
Cryptographically verifiable
DAL anchored
Federated when applicable

33. References

Specification	ID
End-to-End Traceability Framework	TRACE
Operational Assurance & Replay	OARM
Cross-ECO Assurance & Federation	AFLE
Digital Assurance Ledger	DAL
AI-Assisted Assurance & Trust Intelligence	AIATI
Assurance Intelligence Index	AII
Federated Assurance Governance Framework	FAGF
Global Federation Stack	EGFS

33.2. Appendix References

TrustGate Scoring Rubric (MICE)
TrustGate Micro-Engine Catalog
TrustGate Validation Rule Registry
TrustGate CSI Catalog
TrustGate Replay Specification
TrustGate Federation Profiles

GitHub Repo Request for Change (RFC)

1. Purpose​

2. Scope​

3. Position Within the Assurance Architecture​

3.1 Assurance Flow​

3.2 Upstream Dependencies​

3.3 Downstream Consumers​

4. Core Responsibilities​

4.1 Signal Validation​

4.2 Trust Evaluation​

4.3 Assurance Evidence Generation​

4.4 Quarantine Management​

4.5 Federation Assurance​

4.6 Learning Feedback​

5. Runtime Architecture​

5.1. TrustGate Processing Pipeline​

5.2. Runtime Components​

5.3. Processing Guarantees​

6. Trust Evaluation Engine​

6.1. Purpose​

6.2. Trust Inputs​

6.3. Composite Trust Formula​

6.4. Confidence Interval​

6.5. Trust Classification​

7. Decision Engine​

7.1. Decision Logic​

7.2. Decision Formula​

7.3. Example Decision​

8. Input Contracts​

8.1. Canonical Input Structure​

8.2. Required Fields​

8.3. Identity Verification​

9. Output Contracts​

9.1. Trust Assessment Record​

9.2. Replay Artifact​

9.3. DAL Reference​

10. Trust Events​

10.1. Event Publication​

10.2. Trust Event Schema​

10.3. Quarantine Event​

10.4. Replay Event​

10.5. DSAIL Learning Event​

11. API Specification​

11.1. Overview​

11.2. Signal Submission API​

11.3. Assessment Lookup API​

11.4. Replay API​

12. OARM Integration​

12.1. Purpose​

12.2. Replay Artifact Generation​

12.3. Replay Verification Formula​

12.4. Replay Event​

13. DAL Integration​

13.1. Purpose​

13.2. DAL Submission Record​

13.3. DAL Verification Response​

13.4. Merkle Verification​

14. AFLE Integration​

14.1. Purpose​

14.2. Trust Attestation​

14.3. Federated Verification​

15. Carbon Passport Integration​

15.1. Purpose​

15.2. Supported Passport Artifacts​

15.3. Passport Trust Reference​

16. DSAIL Integration​

16.1. Purpose​

16.2. Learning Feedback Record​

16.3. Trust Drift Formula​

16.4. Model Feedback Frequency​

17. AII Integration​

17.1. Purpose​

17.2. AII Metrics Produced​

17.3. Contribution Payload​

18. Federation Integration​

18.1. EGFS Participation​

18.2. Federation Message​

18.3. Trust Freshness Formula​

19. Data Model​

19.1. Trust Assessment Entity​

19.2. Trust Assessment Fields​

1. Purpose

2. Scope

3. Position Within the Assurance Architecture

3.1 Assurance Flow

3.2 Upstream Dependencies

3.3 Downstream Consumers

4. Core Responsibilities

4.1 Signal Validation

4.2 Trust Evaluation

4.3 Assurance Evidence Generation

4.4 Quarantine Management

4.5 Federation Assurance

4.6 Learning Feedback

5. Runtime Architecture

5.1. TrustGate Processing Pipeline

5.2. Runtime Components

5.3. Processing Guarantees

6. Trust Evaluation Engine

6.1. Purpose

6.2. Trust Inputs

6.3. Composite Trust Formula

6.4. Confidence Interval

6.5. Trust Classification

7. Decision Engine

7.1. Decision Logic

7.2. Decision Formula

7.3. Example Decision

8. Input Contracts

8.1. Canonical Input Structure

8.2. Required Fields

8.3. Identity Verification

9. Output Contracts

9.1. Trust Assessment Record

9.2. Replay Artifact

9.3. DAL Reference

10. Trust Events

10.1. Event Publication

10.2. Trust Event Schema

10.3. Quarantine Event

10.4. Replay Event

10.5. DSAIL Learning Event

11. API Specification

11.1. Overview

11.2. Signal Submission API

11.3. Assessment Lookup API

11.4. Replay API

12. OARM Integration

12.1. Purpose

12.2. Replay Artifact Generation

12.3. Replay Verification Formula

12.4. Replay Event

13. DAL Integration

13.1. Purpose

13.2. DAL Submission Record

13.3. DAL Verification Response

13.4. Merkle Verification

14. AFLE Integration

14.1. Purpose

14.2. Trust Attestation

14.3. Federated Verification

15. Carbon Passport Integration

15.1. Purpose

15.2. Supported Passport Artifacts

15.3. Passport Trust Reference

16. DSAIL Integration

16.1. Purpose

16.2. Learning Feedback Record

16.3. Trust Drift Formula

16.4. Model Feedback Frequency

17. AII Integration

17.1. Purpose

17.2. AII Metrics Produced

17.3. Contribution Payload

18. Federation Integration

18.1. EGFS Participation

18.2. Federation Message

18.3. Trust Freshness Formula

19. Data Model

19.1. Trust Assessment Entity

19.2. Trust Assessment Fields