prxhub

Cache-first research reduces wasted compute by checking for existing signed research bundles before initiating new multi-provider analysis. It searches and pulls pre-computed results, only running fresh research when no suitable cached bundle exists for the query.

You cite cached research bundles by utilizing the specific MCP citation function within the workflow. This function extracts the necessary reference data from the downloaded signed bundle, allowing you to accurately attribute the pre-computed research.

Yes, you can organize and publish new results into user-owned collections. When fresh research is required because no cached bundle exists, the workflow enables you to publish the newly generated results directly into your personal collections for future retrieval.

The best way to improve the research cache is by enabling telemetry during your sessions. Providing session feedback on bundle relevance and utility actively contributes to the system's cache optimization, ensuring higher fidelity results for future queries.

You should avoid using cached research bundles and run fresh analysis when dealing with rapidly evolving domains or highly specific queries where no matching signed bundle exists. The system automatically defaults to fresh multi-provider analysis in these cases to ensure data accuracy.

Yes, prxhub integration supports multi-provider analysis workflows by acting as a cache-first layer. It searches existing bundles before routing the query to multiple providers for fresh computation, seamlessly integrating citation and telemetry collection into the process.