Case Study

NEARWEEK Intelligence Network: Sources, agents, and MCP in one flow

NEARWEEK

NEARWEEK works in a field where signals change quickly and source trust matters. That requires more than a content pipeline.

Intelligence Network was shaped as a layer connecting sources, agents, and data access.

NEARWEEK Intelligence Network

The challenge

Crypto ecosystems produce constant updates, but they are spread across social media, GitHub, governance, podcasts, and community channels.

The solution

The network gathers signals, uses AI for relevance and context review, and connects data through MCP integrations that can be used by other agent flows.

What changed

Editorial and analytical workflows can work closer to the sources, with better traceability and less manual sorting.

Technologies

Technology Usage
MCP Data access for agents
AI review Relevance and context sorting
Ecosystem feeds Signals from multiple public sources

Services delivered by SAIBA

  • Signal architecture
  • AI review workflow
  • MCP integration
  • Ecosystem intelligence

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