The current real-time price of SN87 is $0.8025. In the past 24 hours, SN87 has traded between $0.7681 and $0.9297, showing strong market activity. The all-time high of SN87 is $1.74, and the all-time low is $0.3168.
From a short-term perspective, the price change of SN87 over the past 1 hour is , over the past 24 hours is -0.89%, and over the past 7 days is -7.67%. These figures provide a quick overview of the latest price trends and market dynamics of SN87 on LBank.-11.55%
The live price of SN87 today is $0.8025, with a current market cap of $89,293.21. The 24-hour trading volume is 47K. The price of SN87 to USD is updated in real time.
Before deciding whether to buy or sell SN87, you should first consider your own trading strategy. Long-term traders and short-term traders follow different trading approaches. LBank’s SN87 technical analysis can provide you with trading references.
What will the value be? You can use our price prediction tool to conduct short-term and long-term price forecasts for SN87.
How much will SN87 be worth tomorrow, next week, or next month in ? What about your SN87 assets in 2025, 2026, 2027, 2028, or even 10 or 20 years from now? Check now! SN87 Price Prediction
To learn more about SN87, consider exploring other resources such as the whitepaper, official website, and other published information:
CheckerChain (SN87) tackles the pervasive issue of trust in online reviews by offering a decentralized, AI-powered platform for product evaluations. Its core utility lies in establishing an honest review ecosystem through a "trustless review consensus mechanism (tRCM)". This system ensures review integrity by making dishonest contributions economically unfeasible, providing users with reliable and verifiable product insights, and fostering a more transparent digital marketplace for Web3 participants.
CheckerChain operates as a decentralized AI prediction layer within the Bittensor ecosystem's SN87 subnet. Its "trustless review consensus mechanism (tRCM)" works by arbitrarily selecting reviewers and rewarding them based on the alignment of their reviews with a consensus range, deterring dishonesty. Validators distribute review tasks to miners, aggregate ground truth ratings, and evaluate miner-generated predictions for accuracy. This process involves fetching products, generating AI-based overall and breakdown scores, and calculating a final Trust Score to distribute rewards efficiently.
The native token of CheckerChain is SN87, also known as $CRCN. It serves as the primary incentive mechanism, rewarding contributors through a "review-to-earn" model. $CRCN can also be used for payments within the tRCM ecosystem for various services. The token has a maximum supply of 21,000,000, adhering to a halving schedule defined by the subnet architecture, with 41% of its supply allocated to miners as a foundational distribution strategy. This model encourages participation and network growth.
While specific names of individual team members are not prominently disclosed in public information, the project's GitHub repository indicates active and ongoing development. The network's structure clearly outlines roles for participants, including miners and validators, who contribute to the network's operation and integrity. This suggests a community-driven or decentralized development approach, with a focus on functional roles within the ecosystem rather than centralized team hierarchy.
The strategic roadmap for CheckerChain (SN87) is detailed on its GitHub page, providing insights into its planned developments and key milestones. This resource serves as the primary public document outlining the project's direction and future trajectory. The project also generally mentions its focus on revenue, earnings, and financial sustainability within its broader overview, indicating a commitment to long-term growth and a well-defined pathway for its evolution within the Web3 ecosystem.
CheckerChain addresses scalability and security through its fundamental design as a decentralized AI-powered prediction layer within the robust Bittensor ecosystem. While specific security audits were not detailed, the inherent decentralization of its architecture inherently bolsters resilience against single points of failure. The "trustless review consensus mechanism (tRCM)" protocol significantly contributes to data integrity and security by making it economically irrational for participants to submit dishonest reviews, thereby safeguarding the trustworthiness of the review data itself.
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