Monetization and Ratings

CogniMesh is intended to support fair compensation for knowledge providers. The goal is not only access to expert context, but a healthier agentic economy around trusted knowledge.

Payment Models

Possible models include:

Per request: each query has a small usage fee.
Subscription: agents or organizations pay for continued access to a provider or category.
Credits: consumers hold credits that can be spent across nodes.
Sponsored access: institutions or funders support public-interest knowledge nodes.

Reputation Signals

Ratings should help agents choose sources before querying them. Signals may include provider reputation, user reviews, answer usefulness, freshness, uptime, and provenance quality.

Agent-Side Selection

Consumer agents should be able to compare sources by relevance, price, reputation, policy, and latency. A low-cost node may be enough for broad context, while a specialist node may be worth a higher price for narrow expert tasks.

Related pages: P2P Service Discovery and RAG Endpoints.