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LikeLib2.0 Technical Features, Redefining Public Chain

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Based on the country’s strategy to promote the development of blockchain, we focus on the core issues of blockchain applications in various fields, take typical blockchain applications as an important breakthrough, promote breakthroughs in key application technologies of blockchain, and study blockchain service architecture, data Key technologies such as access technology, hybrid storage, data source, cross-chain and sharding, blockchain and IoT intelligent system integration, and develop a basic platform for blockchain services, in blockchain education and training, e-government, supply chain, and carry out application demonstrations in key areas such as finance to open up the innovation chain, application chain and value chain, thus providing common and secure blockchain basic support capabilities.

Recently the technical features of LikeLib2.0 public chain system are announced through the media.

LikeLib2.0 provides a secure and stable blockchain service basic platform, covering more than 3 core modules with independent intellectual property rights, such as data connection, hybrid storage, and cross-chain technology, which is able to quickly build solutions for typical application scenarios.

Compared with LikeLib1.0, LikeLib2.0 has a higher level of improvement in core technology architecture, and the transaction speed is about 10000TPS.

The newly released 2.0 system will not only merge transaction program fees, but also copy forks of the blockchain and increase the volume of transfer transactions. The average transaction value can be distributed among the running nodes.

In addition, there have been steady improvements in supporting smart contracts, exchangeable consensus mechanisms, and various storage networks. It can replace the blockchain consensus mechanism and the basic IPFS distributed storage network according to different factors (such as transaction volume), which can store a large amount of data outside the chain.

LikeLib2.0 uses database fragmentation technology. Within the database of LikeLib2.0 public chain system, only a small part of the input transactions need to be processed, and a large amount of verification work can be completed through other conventional parallel processing on the network.

Here, BTC and LikeLib seem to be merchants from two countries. The two parties cannot trust each other and use different currencies, so they cannot directly trade.

Therefore, the two parties negotiated a set of rules (equivalent to a relay chain protocol) and established a special trading venue to handle transactions, jointly managed by large merchants (equivalent to gateways) in their own country as representatives. These large merchants also need to have a sufficient amount of assets as security.

The whole process is called a cross-chain bridge, which has technical advantages such as multi-signature technology/ring signature technology/hash locking.

LikeLib2.0 uses Lightning Network transactions and zero configuration transaction channels.

Both parties transfer funds to a common payment channel and conduct transactions by transferring funds from one end to the other. The existing hosting solutions on the Lightning Network only manage their users’ funds on one or a few, and they will not use one channel with each user. Instead, an internal private ledger is kept to record when the funds belong to the user.

Therefore, users do not have to wait for the payment channel to be broadcast to the chain. The result is a decentralized network of custodians, with each custodian running a centralized subnet with users.

Earlier we mentioned the ring signature technology in the LikeLib2.0 cross-chain bridge. The ring signature is named because a certain parameter implicit in the signature is composed according to certain rules. However, many schemes proposed later do not require the structure of the signature to be a ring, as long as the formation of the signature satisfies the spontaneity, anonymity and group characteristics, and it is also called a ring signature.

In fact, the security of the ring signature technology scheme is quite high, such as: unconditional anonymity, unforgeability, unconditional anonymity of the signer, and the signer can freely specify his own anonymity range, forming a beautiful ring logic structure, which can realize group signatures The main function of but does not require trusted third parties or group administrators.

Ring signature is a special group signature. There is no trusted center and no group establishment process. For the verifier, the signer is completely anonymous.

In terms of zero-knowledge proofs, in theory, it is possible to prove something to everyone else without exposing anything significant, and the volume of the generated proof is small, the proof cost is very low, and it has nothing to do with the amount of calculation that needs to be proved.

LikeLib2.0 uses the generation algorithm (G) to generate public parameters for the proposition, the proof algorithm (P) to generate the proof of the satisfiability of R1CS, and the verification algorithm (V) to verify the proof and other technical methods and means to finally generate the proof. It can be proved that there is a secret value reset equation satisfied without revealing the secret.

Data traceability, from the perspective of application, focuses on the process and method of tracking.

The “decentralized and distributed” technology of LikeLib2.0 records all information publicly on the “public ledger”, and can only be entered and cannot be modified. Due to the feature of multiple parties jointly maintaining the simultaneous ledger, the traditional information island problem is broken and decentralized management is realized.

In this open distributed accounting system, the blockchain provides users with openness and consensus; decentralized and transparent transactions and anonymity for both parties.

The data traceability annotation is a technique for tracing the source, reproduce the historical state and evolution process of the data according to the trace path, and realize the redirection of the historical data archives.

The World Wide Web has continued to iterate for thirty years before it has today’s prosperity and “Internet +”. If we still have confidence in the blockchain in 2020, perhaps we should give it more time. Obviously, the LikeLib2.0 public chain system has given the blockchain industry a gratifying answer in 2020.

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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.

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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

Press Release

Request Network Introduces One-Click Cross-Chain Mass Payouts and Expands Wallet Screening With Merkle Science

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Zug, Switzerland, June 25th, 2026, Chainwire

Anyone can now execute mass payouts across EVM chains and Tron from a single platform and can choose between multiple wallet screening providers.

Just three weeks after releasing major upgrades for crypto payment collection, the Request Network Foundation today announced another expansion of its stablecoin payment platform. The release introduces one-click mass payouts on both EVM and Tron, alongside built-in bridging and token swapping across EVM chains. The update also expands compliance capabilities through the integration of Merkle Science as an additional wallet screening provider.

Together, these capabilities reinforce Request Network’s vision of providing businesses with a simpler, more scalable, and more resilient way to operate stablecoin payments globally.

Users Can Now Disburse at Scale in One Click From a Single Wallet Without Bridging or Swapping

Stablecoins are already widely used to disburse salaries, commissions, affiliate rewards, bug bounties, supplier payments, and customer refunds or withdrawals across the world. While settlements are now faster and cheaper in stablecoins compared to fiat, the operational processes needed to send funds remain complex as recipients usually require payments on multiple chains and in multiple currencies. This has forced finance teams to initiate multiple transactions in separate currencies and from multiple wallets.

Request Network now abstracts away this fragmentation, allowing anyone to initiate mass payouts from a single wallet in a single currency to pay recipients across the top 6 EVM chains (Ethereum, Base, Arbitrum, Optimism, Polygon, and BNB Chain) in USDC and USDT.

Through a single signature, a mass payout can now be initiated even if the individual transactions need to be bridged and swapped to reach their recipient. Request Network protocol automatically retrieves and batches bridge and swap quotes in order to funnel every payment of a batch to its correct destination in just one approval.

To simplify the process further, Request Network also allows any recipient to set and update their payment preferences so payments are always routed to where they should go.

This represents one of the biggest breakthroughs in cross-chain and swapping abstraction, bringing payers and recipients closer than ever before, regardless of the blockchain or currency they trust.

Mass Payouts Now Available on Tron

Alongside EVM mass payouts, Request Network also announced the support of mass payouts on Tron, becoming the first protocol to combine both capabilities.

Thanks to this release, anyone can now send USDT to multiple recipients on Tron in a single transaction, unlocking large-scale payouts on one of the most used chains in Asia, Africa, Eastern Europe, and Latin America.

With this release, anyone can now manage all stablecoin payouts globally from the Request Network protocol.

More Choice for Wallet Screening

Alongside mass payouts, Request Network also announced a partnership with Merkle Science to offer additional wallet screening providers on the protocol.

As a reminder, Request Network offers built-in wallet screening to protect its users from high-risk wallet interactions. When enabled, this feature allows payments to be executed only if the payer or recipient satisfies the preset screening policies, helping businesses to avoid exposure to high-risk wallets which may lead to asset freezing or difficulties off-ramping to fiat.

By expanding its integration of Merkle Science, Request Network just became one of the safest ways to receive crypto onchain, while accommodating for recipients’ preferences.

Tristan Wallaert, CEO of the Request Network Foundation, said: “Stablecoins allowed money to move globally without the usual fiat constraints, but executing payments at scale remains a bottleneck and is forcing users to rely on payment service providers. Anyone should be able to pay by himself hundreds of payments across chains in just a single operation.High risk wallets exposure has tarnished the crypto reputation recently, if we want to provide the best protection to blockchain users they need to be able to use the best screening providers. Sending and receiving payments must become intuitive and safe if we want stablecoins to be a real alternative to fiat.”

Mriganka Pattnaik, CEO of Merkle Science, said: “As stablecoin payments become more global and cross-chain, compliance needs to become just as seamless as the payment experience itself. Our integration with Request Network helps businesses screen wallets with greater confidence, reduce exposure to high-risk activity, and scale onchain payments without compromising trust or operational efficiency”.

About Request Network

Since 2017, Request Network has developed, educated about, and promoted the use of open-source, decentralized and permissionless protocols that provide infrastructure for on-chain payments and related financial flows.

Request Network allows anyone to send and receive crypto at scale, across chains, without custodial intermediaries. The protocol is developed by a community-funded foundation whose mission is to make crypto payments accessible while protecting its participants.

To date, more than $2 billion has moved thanks to Request Network technology.

Press kit

About Merkle Science

Merkle Science provides blockchain analytics and crypto compliance solutions that help businesses detect, investigate, and prevent financial crime across digital assets. Its platform supports wallet screening, transaction monitoring, risk intelligence, and investigations, enabling crypto platforms, financial institutions, and payment providers to manage onchain risk and meet compliance requirements at scale.

Contacts

CEO
Tristan Wallaert
Request Network Foundation
press@request.network
Director of Business Operations
Álvaro García
alvaro.garcia@merklescience.com

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.

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