Narrativ - Ecosystem Docs
  1. Core Concepts
  • NARRATIV
    • What Narrativ Is
    • Choose Your Path
    • Glossary
    • FAQ
  • Core Concepts
    • System Overview
    • Data Engine
    • Market Layer
    • Incentives, Prize Pools, and FlyWheel
    • Consent and Permissions
    • Verified Identity and Bot Resistance
    • Signals and Indices
    • Data Lifecycle
  • Business (B2B)
    • Data Products Overview
    • Compliance and Permitted Use
  • Prize Pools & More
    • Prizepools and Eligibility (MDS)
  • Legal & Regulatory Framework
    • Overview
    • Data Rights
    • Global Directory
    • Regulatory FAQs
  1. Core Concepts

Data Lifecycle

Narrativ's data lifecycle is designed for fidelity and auditability.
1
Collection (nGress)
Managed inputs: APIs, scrapers, and other structured public/system-level sources
User-permissioned inputs: connected profiles and approved data classes
2
Normalization
Convert raw inputs into canonical formats
Attach provenance metadata (source, timestamp, and consent state where relevant)
3
Processing (Nexus)
De-duplication and linking logic (where appropriate)
Feature computation
Index computation (windowed, versioned)
4
Packaging
B2B outputs: datasets, indices, feeds, and alerts
Market specs: definitions that describe how a market resolves on an index
5
Delivery
Depending on product and customer:
APIs
Exports
Webhooks
6
Rewards Accounting
Points accrual (data contribution + participation)
Tier updates
Prize pool distribution and payouts
7
Retention and Controls
Data retention follows policy + permissions
Permission changes affect future processing and delivery
Audit logs capture sensitive control actions
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Signals and Indices
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Data Products Overview
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