SN111 × Desearch Case Study

    OneOneOne logoOneOneOne

    Strengthening Content Intelligence with Real-Time Data

    OneOneOne

    Background

    At Desearch (SN22), our mission is simple: make real-time, high-quality information accessible across Bittensor so agents and subnets can think, react, and evolve with fresh data.

    OneOneOne (SN111) is a subnet focused on understanding, classifying, and verifying user-generated content across the web. Their roadmap includes tweet retrieval and analysis, authenticity checks and detection flows, multi-source evidence gathering, content verification for AI agents, user-generated content monitoring, and tools for classification and trust layers.

    Their objective is clear: turn raw internet activity into structured, actionable intelligence that Bittensor agents can use.

    As SN111 expands its capabilities and introduces new miner types, access to reliable real-time data becomes foundational to its growth.

    Challenge

    As SN111's verification and classification workflows evolved, several challenges became apparent:

    1. Real-Time Data Requirements

    Authenticity checks and content verification depend on up-to-date tweets, metadata, and web context. Static datasets are insufficient for dynamic classification tasks.

    2. Miner Scraper Reliability

    While miners can operate their own scrapers, frequent platform changes introduce instability and inconsistent data retrieval.

    3. Validator Consistency

    For subnet-wide accuracy, all validators must operate on clean, structured, and uniform data inputs.

    4. Scalability

    As new miner types are introduced, the subnet requires infrastructure capable of supporting growing throughput without degrading reliability.

    Without a stable, decentralized data layer, classification quality and validator alignment would become increasingly difficult to maintain.

    Solution

    To address these challenges, SN111 integrated Desearch APIs directly into its validator workflow.

    Validator-Level Integration

    Every SN111 validator now has access to SN22 capabilities for:

    • Real-time tweet lookups
    • X (Twitter) search
    • Clean metadata extraction
    • Web search results
    • Structured JSON responses

    This ensures classification and verification flows remain fast, accurate, and consistent across all validator nodes.

    Optional Miner Fallback

    While miners remain free to use their own scrapers, Desearch now serves as an optional fallback source that miners can switch to at any time.

    This provides:

    • Reduced scraper failures
    • More consistent data access
    • Faster onboarding
    • An alternative to maintaining custom scraping pipelines

    The integration preserves decentralization and miner flexibility while improving operational stability.

    Infrastructure for Interoperability

    By leveraging SN22's decentralized search layer instead of duplicating infrastructure, SN111 strengthens subnet interoperability within Bittensor.

    Rather than building parallel systems, the partnership aligns data retrieval and content intelligence into a shared framework that supports long-term scalability.

    Conclusion

    The SN22 × SN111 partnership represents a practical integration between decentralized search infrastructure and content verification systems.

    SN111 focuses on understanding and verifying user-generated content.

    SN22 delivers the real-time data layer that makes this possible.

    Together, they are improving validator reliability, strengthening miner workflows, and enabling scalable content intelligence across Bittensor.

    This collaboration demonstrates how subnets can accelerate progress by building with each other instead of building alone.

    APIs Used

    Twitter Search
    Web Search

    Industry

    Content Intelligence & Verification

    Outcomes

    • Reliable validator infrastructure
    • Consistent miner data access
    • Cross-subnet interoperability

    Ready to get started?

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    Desearch

    Search APIs for AI Agents

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