DesearchPrice

(SN22)

Desearch (SN22) is an AI-powered search engine and real-time data layer operating within the Bittensor network. It is designed to bridge the information gap for AI agents by scraping and analyzing data from various platforms, including X (Twitter), Reddit, and the broader web. By providing up-to-the-minute information, it ensures that Large Language Models (LLMs) have access to current events and trends that conventional indexing systems might overlook. It functions as a decentralized backbone for data retrieval, serving as a critical infrastructure piece for the next generation of AI development.

Unlike legacy centralized search engines, Desearch leverages a decentralized network of miners to discover and retrieve data. This architectural shift allows it to operate with significantly higher efficiency. Project benchmarks indicate it is faster and more cost-effective than using official proprietary APIs while delivering superior link relevance. By utilizing a distributed workforce rather than a siloed infrastructure, Desearch provides a permissionless and scalable alternative for developers who require high-frequency data access without the constraints and costs associated with traditional tech giants.

Within the Bittensor ecosystem's Dynamic TAO (dTAO) framework, $SN22 serves as the specific "alpha" token for Subnet 22. It represents the value and utility of the Desearch subnet. Users can acquire $SN22 by swapping $TAO via the network's internal Automated Market Maker (AMM). Additionally, participants can earn the token through active contribution to the network. Miners earn rewards by providing high-quality data and search results, while validators earn by accurately scoring the performance and reliability of the data provided by miners, ensuring the network maintains high standards.

The "Revenue-Burn" model is a sustainable economic strategy designed to align the project’s real-world utility with its token ecosystem. Desearch generates Monthly Recurring Revenue (MRR) through the external sale of its API services to developers and enterprises. A portion of this revenue is dedicated to purchasing and "burning" the subnet token. This mechanism effectively removes tokens from circulation based on actual commercial usage of the platform. By linking token scarcity to API demand, the model ensures that the growth of the Desearch product suite directly benefits the subnet's overall economic health.

To mine on SN22, participants focus on "smart-scraping" and data retrieval, which is more CPU and networking-intensive than GPU-heavy tasks. Validators evaluate miners using a scoring mechanism based on three primary pillars: freshness, relevance, and accuracy. Freshness ensures results reflect the latest available information. Relevance assesses whether the data effectively answers the user's query. Finally, "hallucination-freedom" checks that AI-generated summaries are accurate to their source. This competitive environment incentivizes miners to optimize for speed and precision, ensuring the network provides reliable, verifiable data to end-users.

Developers can utilize the Desearch API and the RZY Agent Builder to integrate real-time search capabilities into their AI agents. These tools allow for specialized use cases such as lead generation—identifying potential customers on social platforms—and sentiment monitoring for tracking market trends or project hype. Because the system is decentralized, it offers a degree of censorship resistance, providing unbiased and verifiable search results. This makes it an ideal choice for developers building autonomous agents that require transparent data sources and the ability to process information from diverse platforms.