What they bring
Datasets, source lineage, metric definitions, analytical methods, update cadence, and access controls.
PARTICIPANT 22 / 24
Data, analytics, and intelligence providers
Data providers turn source material into analysis while provenance, privacy, methodology, freshness, and interpretation remain reviewable.
ServiceStandard review
Typical participants
On-chain analytics teams, market-data providers, risk-intelligence services, dashboards, and research-data operators.
On-chain data · market data · risk intelligence
WCN role map
- Participant type
- data_analytics
- Primary role
- Service
- Supporting roles
- Track · Capital
- Review path
- Standard review
- Phase 1 path
- May apply; the dedicated data product path still requires further definition.
PARTICIPATION FIT
What this participant brings—and what they may seek.
What they may seek
Defined analytical questions, authorized data access, reviewable outputs, domain feedback, and attributable research work.
AI + HUMAN CONTROL
AI may prepare. People retain decision authority.
Data Evidence Copilot
The workbench describes a bounded assistance pattern for intake, structure, checks, and drafts. It is not proof that a public AI product or integration is live.
Mandatory Human Gate
Data rights, privacy, metric definitions, interpretation, external publication, and high-impact conclusions.
PUBLIC BOUNDARY
Participation is reviewed, not automatic.
A dataset, dashboard, model, or verification result is not automatically an accepted business fact.
- May apply; the dedicated data product path still requires further definition.
- Data rights, privacy, metric definitions, interpretation, external publication, and high-impact conclusions.
- These tags name evidence categories for future reviewed work. They do not create public Proof, acceptance, settlement, certification, or endorsement.
Evidence vocabulary: service_proof · research_proof
Service