Press Release
Lumino Ceremony: Building the Privacy Protection Infrastructure
PlatON, a privacy AI computing network which is committed to building a decentralized collaborative artificial intelligence network and global brain, is promoting the democratization of artificial intelligence and establishing a secure general artificial intelligence. The bottom layer of its decentralized privacy protection infrastructure is based on Zero-Knowledge Proof.
What is Zero-Knowledge Proof
Zero-Knowledge Proof is a cryptographic technology to realize privacy protection authentication. The prover needs to make the verifier believe that he knows or owns a message, without disclosing any information about message which is to be confirmed. For example, if the prover wants to prove that he knows the safe box password without revealing it, he can just show some items existing in the safe box that everyone knows.
This process is Zero-Knowledge Proof. The proof needs an initial credible setting (some items existing in the safe box that everyone knows), namely a series of public parameters to help the prover build Zero-Knowledge Proof.
Deficiency of Zero-Knowledge Proof
As a cryptographic technology with both privacy protection and authentication capability, zero-knowledge proof is widely used to realize transaction verification under hidden business details in blockchain. The zero-knowledge proof system applied in the blockchain field is mainly a cryptographic algorithm called “zk-SNARKs”. At present, the existing classic zk-SNARKs algorithms include GGPR13, PGHR13, Groth16, GM17, and new generation algorithms such as Sonic, Marlin, Plonk, which support updating public parameters. The current version of ZCash, a well-known private cryptographic currency, uses Groth16 algorithm.
From the above “safe box”, we can see that the premise for the correct operation of this kind of algorithm is existing a series of random trusted parameters. However, randomized parameters will not come out of thin air and there is no trusted third party in the blockchain. Parameters created by centralized third parties can be reconstructed in theory, and it is possible to forge proofs, which may destroy the underlying security in PlatON. Imagine that if a specific institution informed the verifier of the storage of the items in the safe box, the institution and the prover could collude and use this secret information to falsify the illusion that the prover knew the safe box password.
Therefore, it is an undoubtedly excellent idea to organize multiple participants to create these randomized parameters through Secure Multi-party Computation. In this process, single party can not reconstruct the parameters any more. Only when this activity is completed safely will the subsequent decentralized application be safe. In fact, ZCash has successfully created system parameters for Groth16 algorithm in November 2017 through its ceremony, Power of Tau.
Lumino, creating secure parameters
In order to prevent the parameters generated by the centralized mode from affecting the underlying security, PlatON started the Secure Multi-party Computation ceremony Lumino on June 21, 2021, last for 60 days. This ceremony is expected to create necessary secure parameters for the Zero-Knowledge Proof protocol.
During the Lumino ceremony, multiple participants carry out several rounds of calculation in the form of a relay, that is to say, the current participant need to use the calculation results of the previous participant as the input of this round, and the calculation output become the calculation input of the next participant as well. After a certain number of rounds, the output of the last participant is the final result of the whole ceremony, namely the system initialization parameters that Plonk thatalgorithm of PlatON will choose. Obviously, the more participants take part in the ceremony, the safer the parameters will be.
As a practical and efficient Zero-Knowledge Proof algorithm, Plonk is commonly used in PlatON projects and communities, which is characterized by a one-time initialization process, that is, running once can be used to deploy multiple applications. Providing necessary initialization parameters for Plonk algorithm through Lumino ceremony means that no one can master the secret information behind the parameters, which can be used to cheat players in the whole system. Lumino ceremony will lay a solid foundation for the security of PlatON.
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.
Press Release
Dataline Launches Data Launch Partner Program to Power the Next Generation of AI Trading and Onchain Agents
British Virgin Islands, BVI, June 2026, ZEX PR WIRE– Dataline, 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.
Press Release
Dataline Launches Data Launch Partner Program to Power the Next Generation of AI Trading and Onchain Agents
British Virgin Islands, BVI, June 2026, ZEX PR WIRE– Dataline, 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.
Press Release
Request Network Introduces One-Click Cross-Chain Mass Payouts and Expands Wallet Screening With Merkle Science
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.
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.
Dataline Launches Data Launch Partner Program to Power the Next Generation of AI Trading and Onchain Agents
Dataline Launches Data Launch Partner Program to Power the Next Generation of AI Trading and Onchain Agents
Request Network Introduces One-Click Cross-Chain Mass Payouts and Expands Wallet Screening With Merkle Science
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