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CryptoNote protocol-based e-cash system —MKEcoin (Monke Coin)

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The successful application of Bitcoin as the first point-to-point transmission electronic cash model. Compared with legal currency, Bitcoin does not have a centralized issuer, but is generated by the calculation of network nodes. Anyone can participate in the manufacture of Bitcoin, circulate around the world, buy and sell on any computer connected to the Internet.

The original Bitcoin was just a few thousand lines of code, and the value was not reflected, but because of its decentralization and encryption, it was essentially an anti-inflation currency, because of its decentralized “mining” incentive mechanism. Coupled with the inherent scarcity of Bitcoin and the 21 million Bitcoin output cap, many people and even institutions regard Bitcoin as hard currency. This means that internal monetary policy is driving the purchasing power of Bitcoin. On the other hand, Bitcoin’s biggest innovation is the application of blockchain technology, each block representing transactions in a Bitcoin network. The more blocks, the longer the trading time, thus forming a “chain “, although this” chain “has no actual commercial value, but because of the decentralization of value demand continues to increase, prices also rise with the water.

As technology advances, it’s not a problem to replicate any more Bitcoin networks, but so far no blockchain network has been able to match Bitcoin. A lot of facts have proved that blockchain networks in the digital economy, if separated from commercial applications, mean that bubbles are made purely. The strong have been established since ancient times, and only “killer apps” can shake Bitcoin’s position, although there are inevitable defects, but it will not affect its value at all, unless emerging technologies break the balance and make this decentralized environment no longer exist, But this is not impossible, plus Bitcoin in the transaction confirmation time is slow, poor value support and other hard injuries. There is no credit endorsement from any government or institution behind Bitcoin, which is prone to deflation with obvious market ups and downs. In terms of vision, it is already a bit contrary to the initial anti-inflationary heart, and it is difficult to realize commercial applications. The contribution to the development of digital economy is insignificant. Therefore, we think that in the development mechanism of digital economy, it is more effective to introduce a new application than to permanently repair the original application without a block chain network with commercial applications. MKEcoin (Monke Coin) is also born on this demand.

MKEcoin is a subchain technique based on Monero CryptoNote protocols. MKEcoin effectively inherits the privacy, decentralization and extensibility of the main chain Monero, and its powerful expansibility alleviates the storage pressure of the main chain. With its custom DPOS consensus mechanism, it meets the needs of more DAPP and other commercial applications in the future.

MKEcoin based on CryptoNote protocols, significant algorithm differences blur blockchain transactions, focusing on private and censored boycott transactions, transactions are confidential and untraceable to ensure user information security for each transaction. CryptoNote is an application layer protocol that supports a variety of decentralized, privacy-oriented digital currencies. Its goal is to become the evolution of ideas behind Bitcoin.

Different from Bitcoin, CryptoNote transactions can not display the way money is sent or received through block links. The approximate number of transactions can be known, but the sender, receiver and actual number can not be known. the only information available is that the actual quantity is lower than the quantity shown. the only person accessing the entire dataset about a transaction is the sender or receiver of the transaction and the person with one or two secret keys; another significant difference is the CryptoNote hash-based workload proof algorithm. Bitcoin is used SHA256, It is CPU binding function. this means that participants (miners) are only limited by their computational speed, and it is relatively cheap to create dedicated integrated circuit (ASIC) devices, which will have a hash per unit of currency over the normal computer. CryptoNote use memory binding functions CryptoNight, can not easily pipeline production.

MKEcoin sub-chain technology realizes the scalability of block chain system and provides a feasible solution to block chain fragmentation. MKEcoin subchain derived from the main chain platform with independent functions of the block chain. These subchains can not exist alone and must be run through the infrastructure provided by the main chain, so the subchain inherits all the attributes of the main chain.

A significant feature of MKEcoin subchains is the ability to define their own consensus approach and execution modules. Far from being limited to the different consensus modes of the main chain, the consensus mode of the sub-chain can be POW ,PBFT ,POS ,DPOS, even the consensus mode that different industries can define themselves. Of course, the user must define the consensus engine separately to implement the task under the custom consensus mechanism. There are several advantages to this :1. The function of the subchain is greatly enriched in a flexible way. The function of the sub-chain is not only limited to the scope of intelligent contract processing, but also increases the practicability. 2. can make full use of MKEcoin main chain to quickly deploy subchains with new functions without the need to maintain the nodes needed for a separate block chain and the cost of attracting new users to participate. 3. the difficulty of deploying subchains is greatly reduced, we only need to write subchain consensus and execution module.

MKEcoin unique custom consensus mechanism and execution module, according to the needs of the application scene, quickly form a consensus module to achieve its commercial value, and MKEcoin the block speed is independent, not limited by the public chain, Can customize block speed according to application requirements to meet transaction fluency and balance.

MKEcoin sub-chain technology can not only be used as a DAPP support platform to build complex application scenarios, but also can be deployed as a common service platform to provide specific services for other sub-chains or DAPP. MKEcoin realizes the cross-chain transaction with other block chains, and more broadly, realizes the communication between block chains and other networks, forming the interconnection of all things.

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Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.

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Press Release

Global Publicist 24 Magazine Names Pharmacist and Entrepreneur Abadir Nasr as Cover Leader of Its 2026 “Most Influential Leader Shaping the Future of Business” Edition

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Global Publicist 24 Magazine, an international business publication that profiles influential leaders and high-impact entrepreneurs, has released its special 2026 edition, “The Most Influential Leader Shaping the Future of Business,” with pharmacist and healthcare entrepreneur Abadir Nasr featured on the cover.

The edition recognises leaders whose vision and execution are reshaping their industries, and Nasr was selected as the cover personality for his work building a community-focused pharmacy model centred on trust, accessibility, and patient care.

Nasr is the pharmacist and owner of Arvazy Pharma and Whitfield’s Guardian Pharmacy. Combining clinical training with hands-on business leadership, he has developed both pharmacies into local healthcare destinations known for personalised service and patient advocacy rather than transactional dispensing.

“Healthcare does not end at the counter when you hand someone their medication,” said Nasr in the cover feature. “It starts with understanding the person in front of you, and that relationship is what keeps a community healthy.”

Across both businesses, Nasr has applied a consistent philosophy: that meaningful patient relationships and sound commercial decisions can grow together. The cover feature traces his entrepreneurial path, the operational challenges he worked through, and his outlook on where pharmacy and community healthcare are heading.

Commenting on the selection, Sagar Kasar, Editorial Lead at Global Publicist 24, said: “Abadir represents the kind of leadership this edition was built to highlight. He has grown a healthcare business while keeping patient trust at the centre of every decision, and that balance is genuinely difficult to achieve.”

The 2026 edition also features leaders from a range of industries whose work in innovation, growth, and customer-focused strategy offers practical lessons for founders and executives navigating a fast-changing economy.

The new edition of Global Publicist 24 Magazine is available now to readers worldwide.

About Global Publicist 24 Magazine

Global Publicist 24 Magazine is an international business publication that profiles influential leaders, innovative organisations, and notable success stories worldwide through exclusive interviews, thought-leadership features, and industry analysis.

Website: https://www.globalpublicist24.com/magazines/
Email: info@globalpublicist24.com
Phone: (+1) 302 956 1687

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Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.

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Press Release

Dataline Launches Data Launch Partner Program to Power the Next Generation of AI Trading and Onchain Agents

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British Virgin Islands, BVI, June 2026, ZEX PR WIREDataline, the data infrastructure layer for AI agents operating across crypto and financial markets, recently announced the launch of its Data Launch Partner Program, opening access to an initial cohort of AI systems, trading agents, and data providers building on its unified intelligence layer.  

  

As AI agents increasingly move from chat-based interfaces to autonomous decision-making systems, the need for structured, cross-market, and verifiable financial data has become a foundational bottleneck. Dataline closes this gap by unifying distributed market data into a schema-based layer, with each response carrying an AI-generated confidence score so the agent can judge for itself whether to act on it.  

A Unified Data Layer for Agent Economies

Dataline connects real-time data across major centralised exchanges, decentralised protocols, and prediction markets, including Binance, Coinbase, OKX, Hyperliquid, dYdX, Polymarket, and Kalshi, into a single structured response format.  

Each query is processed through a cross-venue normalisation system that aggregates pricing, funding rates, liquidity conditions, and event-based signals into confidence-scored outputs with source-level traceability and freshness indicators. 

This allows AI agents to operate on consistent, verified inputs rather than fragmented or venue-specific APIs.  

From Data Access to Decision Infrastructure

The evolution of AI agents has shifted the industry focus away from blind execution and toward interpretation.  

Dataline’s system is designed to solve this by providing the following:  

  • Cross-venue data normalization across trading and prediction markets

  • Confidence-scored outputs with divergence detection between sources

  • Structured responses optimized for planner–executor–verifier agent loops

  • Real-time aggregation of market signals and event data

Already Powering Live Agent Systems

Dataline is already deployed in production environments, supporting over 19.4 million on-chain transactions across the Base, BNB Chain, Sui, and the TON ecosystem.  

Agent systems built on top of Dataline — including ChatPilot, GhostDriver, and FlowAgent — are actively using its structured data layer for live trading, signal processing, and autonomous execution workflows.

Launch Partners Across AI and Execution Layers

The initial Data Launch cohort includes partnerships with AI agent frameworks and execution infrastructure providers such as Sentient, Kite AI, B3, Fraction AI, and Sahara AI.  

These integrations reflect a growing ecosystem where AI agents not only interpret financial data but also execute transactions across programmable settlement layers in real time.  

Exclusive Offer for Base Builders

To support the growing community of builders on Base, Dataline is offering six months of free data feeds to qualifying Base projects. Teams building on Base can claim the offer by reaching out to @datalineai on X and introducing their project.  

Accelerating the Shift Toward Agent-Native Financial Infrastructure

As AI systems become embedded in financial decision-making, industry infrastructure is shifting from API-centric models toward schema-based intelligence layers capable of unifying siloed markets.  

As part of this transition, Dataline enables agents to operate across fragmented environments through a unified execution layer, without requiring venue-specific logic or manual reconciliation.  

Become a Dataline Launch Partner

Dataline is expanding its Data Launch Partner cohort. Projects interested in integrating Dataline’s data layer or joining the program can reach out to @datalineai on X to start the conversation.  

About Author

Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.

Continue Reading

Press Release

Dataline Launches Data Launch Partner Program to Power the Next Generation of AI Trading and Onchain Agents

Published

on

British Virgin Islands, BVI, June 2026, ZEX PR WIREDataline, the data infrastructure layer for AI agents operating across crypto and financial markets, recently announced the launch of its Data Launch Partner Program, opening access to an initial cohort of AI systems, trading agents, and data providers building on its unified intelligence layer.  

  

As AI agents increasingly move from chat-based interfaces to autonomous decision-making systems, the need for structured, cross-market, and verifiable financial data has become a foundational bottleneck. Dataline closes this gap by unifying distributed market data into a schema-based layer, with each response carrying an AI-generated confidence score so the agent can judge for itself whether to act on it.  

A Unified Data Layer for Agent Economies

Dataline connects real-time data across major centralised exchanges, decentralised protocols, and prediction markets, including Binance, Coinbase, OKX, Hyperliquid, dYdX, Polymarket, and Kalshi, into a single structured response format.  

Each query is processed through a cross-venue normalisation system that aggregates pricing, funding rates, liquidity conditions, and event-based signals into confidence-scored outputs with source-level traceability and freshness indicators. 

This allows AI agents to operate on consistent, verified inputs rather than fragmented or venue-specific APIs.  

From Data Access to Decision Infrastructure

The evolution of AI agents has shifted the industry focus away from blind execution and toward interpretation.  

Dataline’s system is designed to solve this by providing the following:  

  • Cross-venue data normalization across trading and prediction markets

  • Confidence-scored outputs with divergence detection between sources

  • Structured responses optimized for planner–executor–verifier agent loops

  • Real-time aggregation of market signals and event data

Already Powering Live Agent Systems

Dataline is already deployed in production environments, supporting over 19.4 million on-chain transactions across the Base, BNB Chain, Sui, and the TON ecosystem.  

Agent systems built on top of Dataline — including ChatPilot, GhostDriver, and FlowAgent — are actively using its structured data layer for live trading, signal processing, and autonomous execution workflows.

Launch Partners Across AI and Execution Layers

The initial Data Launch cohort includes partnerships with AI agent frameworks and execution infrastructure providers such as Sentient, Kite AI, B3, Fraction AI, and Sahara AI.  

These integrations reflect a growing ecosystem where AI agents not only interpret financial data but also execute transactions across programmable settlement layers in real time.  

Exclusive Offer for Base Builders

To support the growing community of builders on Base, Dataline is offering six months of free data feeds to qualifying Base projects. Teams building on Base can claim the offer by reaching out to @datalineai on X and introducing their project.  

Accelerating the Shift Toward Agent-Native Financial Infrastructure

As AI systems become embedded in financial decision-making, industry infrastructure is shifting from API-centric models toward schema-based intelligence layers capable of unifying siloed markets.  

As part of this transition, Dataline enables agents to operate across fragmented environments through a unified execution layer, without requiring venue-specific logic or manual reconciliation.  

Become a Dataline Launch Partner

Dataline is expanding its Data Launch Partner cohort. Projects interested in integrating Dataline’s data layer or joining the program can reach out to @datalineai on X to start the conversation.  

About Author

Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.

Continue Reading

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