SOVEREIGN\PROVENANCE · Fractal

Completeness Scoring

Assessment of metadata completeness. Measure how complete your provenance records are.

Complete provenance records require comprehensive metadata. Completeness Scoring evaluates how complete your provenance records are, identifies gaps, and recommends improvements to strengthen evidence.

Metadata completenessGap identificationCompleteness scoringImprovement recommendations

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Protocol surface

Completeness Scoring

Live-ready

Signal

Confidence

Bound

Hash anchored

verified

Attestation signed

verified

Rights evaluated

verified

Protocol surface — not a live dashboard.

What we promise

Metadata completeness… assess how complete your provenance records are.

Gap identification… identify missing metadata that could strengthen evidence.

Completeness scoring… numerical score indicating overall completeness.

Improvement recommendations… automated suggestions to improve completeness.

Who it's for

•Enterprises ensuring comprehensive provenance records
•Compliance officers verifying metadata completeness
•Platforms requiring complete artifact metadata
•Data stewards managing provenance quality

Your journey

From provenance record to completeness assessment…

Step 1input

Provenance record

Existing provenance record with metadata and evidence.

Step 2action

Completeness analysis

Analyze metadata fields and evidence types for completeness.

Step 3verify

Gap identification

Identify missing metadata fields and evidence types.

Step 4decision

Scoring

Calculate completeness score based on required vs. present metadata.

Step 5output

Completeness report

Generate report with completeness score and improvement recommendations.

Step 6notify

Gap alerts

Alert stakeholders when completeness scores fall below thresholds.

What you get

Metadata completeness

Assess how complete your provenance records are

Gap identification

Identify missing metadata fields and evidence types

Completeness scoring

Numerical score indicating overall completeness (0-100%)

Improvement recommendations

Automated suggestions to improve completeness

Field-level analysis

Analyze completeness at the individual metadata field level

Historical tracking

Track completeness scores over time as metadata is added

Measurable results

Clear visibility into metadata completeness

Completeness visibility

Reduce metadata gaps by 50-70% with recommendations

Gap reduction

Strengthen evidence by identifying and filling completeness gaps

Evidence strength

Integrations

Mirror Console

Anchor Protocol

Metadata Management Systems

Data Quality Tools

Buy this layer

One-time purchase per artifact. Parent subscriptions below keep console access.

Add-on

Completeness Scoring

Metadata completeness assessment and recommendations

$3 / artifact

Buy Completeness Scoring

Included with these plans

Buy Completeness Scoring as a one-time add-on, or include it with an Enterprise or AI Provenance subscription.

Popular

AI Provenance

Usage-based dataset and model lineage for ML teams

$499/mo

10k proofs/month included
Dataset + model manifests
Training lineage API + SDKs
Auditor compliance bundles
Overage $0.05/proof after 10k
Dedicated compliance engineer

Popular

Enterprise & R&D

Clean IP and compliance for teams

$3000/mo

API + SDK
SSO + RBAC
Compliance snapshots (EU AI Act, ISO 42001)
Priority SLA
Custom integrations
Dedicated support

Proof & sharing

Measure and improve the completeness of your provenance records.

FAQs

Compliance & trust

Comprehensive

Actionable

Measurable

Completeness Scoring helps ensure your provenance records are comprehensive and complete.

Governed by The Covenant of Restraint, aligned with our Mission & Vision, and grounded in the Genesis Moment.