Introduction
The AGT Protocol is a scalable platform supporting the development of Play-to-Earn (P2E) decentralized applications (Dapps), founded on three core principles:
• Support the existing P2E Dapp development ecosystem
• Scale to meet the transaction throughput demands of P2E Dapps
• Enable Dapps to leverage distributed storage, distribution, and data analysis.
Since the 2015 launch of the Ethereum network, over 2,812 Dapps have been developed and released. We view this growing interest and education in Dapp development as a positive trend and aim to support developers who have invested time in learning these skills, enabling them to create even more powerful applications. The AGTP Virtual Machine (IVM) is designed to be backward-compatible with the Ethereum Virtual Machine (EVM) and Ethereum bytecode, allowing Ethereum and Solidity smart contracts to run on AGTP, though not all AGTP smart contracts may run on Ethereum.
Scalability has been a prominent issue in existing distributed ledger technologies. Bitcoin processes transactions at about 7 transactions per second (tx/s), while Ethereum averages around 15 tx/s. This paper introduces the novel Delegated Asynchronous Proof-of-Stake (DAPoS) algorithm, achieving peak throughput of around 100,000+ tx/s under optimal conditions. While protocol integration may introduce overhead, even a 90% reduction in throughput still positions AGTP as a significantly more scalable P2E Dapp platform than Ethereum.
We believe that the future of P2E applications will resemble the ecosystem of today’s centralized applications. Given that most large-scale centralized applications use data volumes impractical for shared ledgers, AGTP is designed to support any amount of data at any scale. The AGTP Artifact Network (AAN) introduces off-chain Artifacts that operate parallel to the shared ledger, allowing P2E Dapp developers to incorporate extensive data such as media content, IoT data, or AI/machine learning data into their smart contract logic without compromising security or scalability. Lastly, the AGTP Guru feature facilitates trustless analytical queries of data distributed across the AAN. Data researchers can compensate data owners to query their data for analytics without requiring them to disclose their data.
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