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| 00 | Table of contents |
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| 01 | Date of notification |
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| 02 | Statement in accordance with Article 6(3) of Regulation (EU) 2023/1114 |
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| 03 | Compliance statement in accordance with Article 6(6) of Regulation (EU) 2023/1114 |
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| 04 | Statement in accordance with Article 6(5), points (a), (b), (c), of Regulation (EU) 2023/1114 |
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| 05 | Statement in accordance with Article 6(5), point (d) |
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| 06 | Statement in accordance with Article 6(5), points (e) and (f), of Regulation (EU) 2023/1114 |
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| 07 | Warning in accordance with Article 6(7), second subparagraph, of Regulation (EU) 2023/1114 |
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| Summary | ||
| 08 | Characteristics of the crypto-asset |
OpenGradient (OPG) tokens are crypto-assets classified as "crypto-assets other than asset-referenced tokens or e-money tokens" under MiCAR. Issued on the Base network, an Ethereum-compatible Layer 2 (L2) scaling solution, as ERC-20 compatible tokens, they are fungible, with a total supply of 1,000,000,000. OPG tokens are utility tokens that do not confer ownership, profit rights, or legal claims against the issuer. Instead, they grant access to the ecosystem's services, such as paying for decentralized AI inference, as well as rights to participate in protocol governance and network validation. These rights are exercised technically through on-chain interactions, such as staking tokens for consensus or voting on network upgrades via smart contracts. The OpenGradient Foundation reserves the right to amend these rights and functionalities; while holder opinions may be sought, changes are implemented at the issuer's discretion through updates to the token terms or documentation without requiring token-holder approval. |
| 09 | Further information about utility tokens |
The OpenGradient ($OPG) token serves as the primary utility token within the OpenGradient Network, granting access to a suite of decentralized AI infrastructure services. Key functionalities include: (i) Network Settlement and Access: $OPG is used to pay for AI inference, model execution, and compute resources, while serving as the medium for rewarding nodes for processing tasks. (ii) Model Hosting: The token functions as a digital key allowing users to upload and host model architectures within the decentralized Model Hub. (iii) Governance and Security: Token holders can vote on protocol upgrades and the registry of approved enclave code, while validators must stake $OPG to participate in the Proof of Stake consensus mechanism to secure the network. While there are no protocol-level restrictions on transferability, portions of the supply allocated to the foundation, contributors, and investors are subject to contractual lock-up and vesting schedules ranging from 36 to 96 months. Additionally, individual trading platforms may impose transfer restrictions based on jurisdiction and sanctions compliance. Prior to purchase, the purchaser shall be solely responsible for assessing whether token functionalities are available in the jurisdiction where the purchaser resides. No representation is made that the token's utilities will be accessible to all purchasers regardless of location. |
| 10 | Key information about the offer to the public or admission to trading |
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OpenGradient Foundation is a foundation dedicated to transforming AI from a centralized gatekeeper model into an open, verifiable infrastructure. The company's core business activities include developing the OpenGradient Network, which utilizes a Hybrid AI Compute Architecture (HACA) to provide decentralized AI model hosting, secure execution, and verification to ensure AI remains verifiable and autonomous, preventing single points of failure or censorship in mission-critical applications. OpenGradient Foundation operates globally.
As OpenGradient Foundation was established on 2026-02-27, three-year historical financial data is not available.
OpenGradient Foundation is a newly established entity in the early stages of development. The company has not yet generated substantial revenue or incurred significant expenses.
A brief summary of OpenGradient Foundation's financial performance at the time of writing is as follows:
Funding and Capitalization:
The company's initial share capital is USD $1.00.
The entity is funded via a promissory note for $150,000.
The $OPG token has a fully diluted value as of 2 March 2026 of approximately USD 300,000,000.
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Vanna Labs is a British Virgin Islands entity established to support the OpenGradient protocol through the issuance of digital assets and ecosystem infrastructure, operating globally to the extent permissible by law.
OpenGradient is a decentralized AI platform focusing on transforming AI from a centralized gatekeeper model into an open, verifiable infrastructure.
The platform's architecture features a novel Hybrid AI Compute Architecture (HACA) that separates high-speed inference execution from asynchronous on-chain verification. The project's mission is to provide an end-to-end decentralized architecture for AI model hosting, secure execution, and agentic reasoning by leveraging Trusted Execution Environments (TEEs), Zero-Knowledge Machine Learning (ZKML), the x402 payment protocol and the CometBFT consensus mechanism.
The OpenGradient token (OPG) is the native utility token of the OpenGradient ecosystem. It is
designed to ensure economic security through staking, facilitate protocol governance, and enable
internal network settlement within this interconnected ecosystem.
Given the technical
nature of the OpenGradient project, a glossary has been included in this section of the MiCAR
whitepaper to clarify the key terms and concepts used throughout the MiCAR whitepaper.
Hybrid AI Compute Architecture (HACA): OpenGradient’s primary architectural framework that separates the "fast path" (direct, off-chain inference execution) from the "verification path" (asynchronous on-chain settlement). This allows the network to achieve the low latency of traditional web services while maintaining decentralized, blockchain-backed verification.
Inference Execution: The process of running a machine learning model to produce a result (e.g., generating text or classifying data). In this network, inference is performed by specialized "Inference Nodes" using GPUs or TEEs.
Asynchronous On-Chain Verification: A process where the results of AI executions are verified by "Full Nodes" (validators) and recorded on the blockchain after the execution has already occurred, ensuring the ledger remains lean and efficient.
Trusted Execution Environments (TEEs): Secure hardware-based enclaves (such as those provided by Intel or AWS) that allow for private and attested execution of code. In OpenGradient, TEEs are used for secure LLM execution with negligible computational overhead.
Zero-Knowledge Machine Learning (ZKML): A method of providing pure cryptographic proofs that a specific AI inference was performed correctly without revealing the underlying data or model parameters. While highly secure, it carries a high computational overhead (1000x–10000x slower than standard execution) and is recommended for high-impact financial or DeFi risks.
x402 Payment Protocol: A technical standard that extends HTTP with a "402 Payment Required" status code. It allows applications to access AI models through a verifiable gateway, integrating payment and settlement directly into the data flow.
CometBFT Consensus Mechanism: The Proof of Stake (PoS) based consensus engine used by the network's Full Nodes to maintain the ledger, manage node registration, and validate cryptographic proofs.
Internal Network Settlement: The use of the native utility token as the primary medium for distributing rewards to nodes and settling transactions within the internal protocol.
Parallelized Inference Pre-Execution Engine (PIPE): A technical architecture designed to enable native on-chain machine learning. It allows the network to process AI inference tasks in parallel with the blockchain’s execution logic, facilitating "AI-enabled smart contracts" that can react to model outputs in real-time
MemSync: A specialized platform tool and infrastructure component designed to provide "long-term memory" for AI agents. It allows AI models to maintain context and historical data across different interactions, which is essential for consistent agent behavior.
Paging-based KV-cache Management: An optimization technique for Large Language Model (LLM) serving. It manages the "Key-Value" cache (memory used to store previous parts of a conversation) by breaking it into pages, similar to operating system virtual memory, to improve efficiency and reduce memory waste
IO-aware Attention Kernels: Highly optimized algorithms (such as FlashAttention) that reduce the number of memory read/write operations (Input/Output) required during the "attention" phase of a transformer model, significantly speeding up inference.
Tensor and Pipeline Parallelism: Distributed computing strategies used to run very large AI models that cannot fit on a single GPU. Tensor parallelism splits individual mathematical operations across multiple devices, while pipeline parallelism splits the different layers of the model across devices.
Northbound APIs: High-level application programming interfaces that allow external developers and "web2" applications to easily connect to the OpenGradient network’s AI services (like LLMs or ONNX model execution) without needing to interact with low-level blockchain protocols.
ONNX (Open Neural Network Exchange): An open-standard format for representing machine learning models. OpenGradient uses this format to ensure that models built in different frameworks (like PyTorch or TensorFlow) can be executed consistently across the network’s nodes.
TEE Attestation Coverage: The technical process of expanding the scope of cryptographic proofs (attestations) that verify a Trusted Execution Environment is running specific, unmodified code. This ensures the integrity of AI outputs in the "verification path”.
ZKML Compilation Efficiency: Technical improvements aimed at reducing the time and computational power required to turn a machine learning model into a Zero-Knowledge circuit. This is intended to make the highly secure "ZKML" path more practical for developers.
BitQuant AI Agent Framework: A specific framework developed for the network to facilitate the creation of AI agents capable of performing financial analysis and automated trading (quant) tasks.
Digital Twins & Agent Economies: A multi-phase roadmap concept where digital representations of assets or users ("Digital Twins") evolve into "Autonomous Agents" that eventually interact in "Agent Economies," where AI entities trade and coordinate autonomously on-chain.
ONNX-format Model Artifacts: Files stored in the Open Neural Network Exchange format. This is an open-standard format that ensures AI models are interoperable, allowing them to be trained in one framework (like PyTorch) and executed across the various nodes of the OpenGradient network
Cosmos SDK Layer: A modular framework used for building custom, sovereign blockchains. By using the Cosmos SDK, OpenGradient can customize its chain for AI-specific needs (like high-throughput data handling) while remaining interoperable with other networks
EVM-compatible (Ethereum Virtual Machine): Refers to the network's ability to execute smart contracts written for Ethereum (such as those in the Solidity language). This allows developers to use familiar Ethereum tools and libraries when building AI-enabled decentralized applications on OpenGradient
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The OpenGradient token has several key functionalities within the OpenGradient Network ecosystem. The platform offers a suite of goods and services designed to transform AI from a centralized gatekeeper model into an open, verifiable infrastructure for hosting, executing, and verifying AI models.
Key utilities of the OpenGradient token include:
Protocol Governance: OpenGradient holders can vote on network upgrades and the on-chain registry of approved enclave code.
Internal Settlement: The token is used as the medium for internal chain settlement and rewards, distinct from external gateway payments.
Model Hosting: Users can use tokens to upload models to the decentralized Model Hub.
Validation and Staking: The token grants access to staking rights within the consensus mechanism and allows users to earn rewards for maintaining CometBFT consensus.
Prior to purchase, the purchaser shall be solely responsible for assessing whether token functionalities or services connected to the token are available in the jurisdiction where the purchaser resides. No representation is made that the token's utilities or connected services will be accessible to all purchasers regardless of location.
2024: Launch of the decentralized Open-Source Model Hub and deployment of initial ML models for AMM fee optimization and crypto asset forecasting.
2025: Deployment of current network infrastructure including the x402 Protocol for payment-gated LLM inference and the decentralized Model Hub.
2025: Release of the OpenGradient Nova Testnet, the Python SDK, the BitQuant AI agent framework, and the MemSync platform tools.
2025: Implementation of TEE Verification for secure execution and MemSync for long-term AI memory.
2025: Completion of capital raising efforts, securing over $9.5 million from 37 investors.
Technical Development: Deployment of the Parallelized Inference Pre-Execution Engine (PIPE) for native on-chain ML and AI-enabled smart contracts.
Product Roadmap: Advancement of the Digital Twins platform to include Autonomous Agents (Phase 2), Evolving Intelligence (Phase 3), and Agent Economies (Phase 4).
Network Optimization: Integration of paging-based KV-cache management and IO-aware attention kernels to improve inference serving.
Verification Evolution: Expanding TEE attestation coverage and improving ZKML compilation efficiency to strengthen the verifiable intelligence layer.
Network Scalability: Development of distributed inference capabilities utilizing tensor and pipeline parallelism.
Ecosystem Expansion: Standardization of northbound APIs for LLMs and ONNX/tensor inference to facilitate developer adoption.
Prior to purchase, the purchaser shall be solely responsible for assessing whether token functionalities or services connected to the token are available in the jurisdiction where the purchaser resides. No representation is made that the token's utilities or connected services will be accessible to all purchasers regardless of location.
OpenGradient has secured financial resources (approximately US$ 9,519,040) through private investment rounds involving 37 investors.
These resources are allocated to key areas, including:
Product Development & Art: Approximately USD 5,700,000.
Marketing & Community Growth: Approximately USD 2,400,000.
Consultancy and Legal/Compliance: Approximately USD 1,400,000.
The project is supported by a multidisciplinary team of alumni from Palantir, Google, Meta, and Two
Sigma with specialists in dual-tech AI and blockchain systems, cryptographic verification (ZKML and
TEE), and digital asset law. Operational support is bolstered by dedicated personnel focused on
marketing, community engagement, and operations.
These projections are indicative only and
may change during the rollout of OpenGradient.
This is not applicable because there will be no raising of funds. This is not an offer of the OPG token but rather an admission of the OPG token to trading, as it is already in circulation.
The admission to trading of OpenGradient (OPG) is intended to:
This initiative is an admission to trading and not a fundraising event or public offer.
The project is targeted at all types of investors. No restrictions are being applied other than those required by relevant laws, regulations, or the internal policies of the trading platforms.
Access to the OPG token may be restricted by the individual trading platforms where it is made available. These restrictions may include, but are not limited to, geo-fencing for users in OFAC-sanctioned jurisdictions or other individuals prohibited under the platform's terms and conditions and applicable laws.
Purchases of OPG on Bitvavo, Kraken and Coinbase may be made using supported crypto-assets (e.g., USDC) or fiat currencies (e.g., EUR, USD), as per the available trading pairs on the platform. The information on the specific payment methods and providers of payment services is available at www.kraken.com, https://bitvavo.com and https://www.coinbase.com and their use is subject to the applicable terms and conditions of the specific service provider.
If applicable, any valid reimbursements shall be made to the account or wallet originally used to participate in the offer.
The OPG acquired as a result of trades shall be transferred through means designated by the trading platform to the compatible wallet or account as designated by the selected Trading Platforms.
Purchasers must have an account on a trading platform where OPG is listed and abide by that platform's terms. Technically, holders must have a digital wallet compatible with the ERC-20 standard on the Base network (an Ethereum Layer 2). This can be a self-custodial wallet or an account managed by a third party (like an exchange) provided that such platform specifically supports the Base network. Basic requirements include internet access and a compatible device (computer or mobile).
OPG is available on several centralized and decentralized trading platforms. Investors can access these platforms by creating an account on their respective websites (e.g., www.kraken.com, https://bitvavo.com, and https://www.coinbase.com ) and complying with the platform's requirements, including KYC/AML verification.
Access to the trading platforms is typically free, but users will incur costs related to trading and transactions. These may include transaction fees (maker/taker fees), withdrawal fees, and network fees. These costs are set by the individual exchanges and are not controlled by OpenGradient Foundation. Users are advised to review the fee schedule on the respective platform's website at www.kraken.com, https://bitvavo.com, and https://www.coinbase.com .
To the best knowledge of OpenGradient Foundation, no conflicts of interest have been identified in relation to the admission to trading.
Subject to mandatory applicable law, any dispute arising out of or in connection with this white paper shall be governed by and construed in accordance with the laws of the Cayman Islands.
Subject to mandatory applicable law, any dispute arising out of or in connection with this white paper shall be exclusively subject to the jurisdiction of the courts in the Cayman Islands.
OpenGradient (OPG) is classified as an "Other Crypto-Asset" under Regulation (EU) 2023/1114 (MiCAR), as it is not an Asset-Referenced Token (ART) or E-Money Token (EMT). It is a fungible token based on the ERC-20 standard and is deployed on the Base network, an Ethereum Layer 2 (L2) scaling solution.
The OpenGradient token's primary functionalities within the OpenGradient ecosystem include:
Network Settlement and Access: The token serves as the native medium for internal chain settlement, enabling users to pay for AI inference services and rewarding nodes for processing compute tasks within the Hybrid AI Compute Architecture.
Economic Security and Staking: Validators and specialized nodes must stake the token to participate in the Proof of Stake consensus mechanism, providing economic security by ensuring that malicious behavior, such as submitting invalid proofs, results in the slashing of collateral.
Protocol Governance: Holders are granted the right to vote on protocol updates and network parameters, including the maintenance of the on-chain registry of approved PCR hashes for Trusted Execution Environment (TEE) enclaves.
Model Hosting Rights: The token functions as a digital key for uploading model architectures to the decentralized Model Hub and acts as the primary Sybil-resistance mechanism for the network's specialized node infrastructure.
Prior to purchase, the purchaser shall be solely responsible for assessing whether token functionalities or services connected to the token are available in the jurisdiction where the purchaser resides. No representation is made that the token's utilities or connected services will be accessible to all purchasers regardless of location.
The functionalities described in F.2 are partially live, with core infrastructure available now and advanced features currently under development.
Prior to purchase, the purchaser shall be solely responsible for assessing whether token functionalities or services connected to the token are available in the jurisdiction where the purchaser resides. No representation is made that the token's utilities or connected services will be accessible to all purchasers regardless of location.
OPG is a fungible crypto-asset classified as an "Other Crypto-Asset" under MiCA. It is deployed as an ERC-20 token on the Base network, an Ethereum Layer 2 (L2) scaling solution. The underlying network, OpenGradient, uses a Proof-of-Stake (CometBFT) consensus mechanism designed for securely validating decentralized AI inference through a Hybrid AI Compute Architecture (HACA) that decouples high-speed execution from asynchronous on-chain settlement. OPG does not represent ownership, profit rights, or legal claims, and functions solely to support the protocol's technical and economic operations.
The issuer operates in the field of decentralized artificial intelligence infrastructure and provides the following services as part of its everyday business activity: the management of decentralized AI model hosting and execution, the maintenance of the x402 protocol for payment-gated inference, and the operation of the MemSync semantic memory layer. These activities utilize hardware-attested enclaves and cryptographic proofs to ensure the verifiability and transparency of AI systems, aligning with regulatory standards established under the EU AI Act.
Purchasers or holders of OPG do not acquire any contractual rights, equity interests, profit-sharing rights, dividends, or other legal claims against OpenGradient Foundation or any affiliated entity by virtue of holding the token.
The OPG token is a decentralized digital asset designed for functional use within the OpenGradient Network ecosystem. Any "rights" are limited to the token's protocol-level utility, such as:
Holding OPG does not represent ownership in any legal entity and does not confer any right to financial returns.
There are no formal contractual rights to "exercise." Any functionality associated with OPG is exercised technically by interacting with the OpenGradient protocol's smart contracts.
For example:
Governance: Rights are exercised by participating in on-chain voting to approve network upgrades and managing the decentralized registry of approved PCR hashes for Trusted Execution Environment (TEE) enclaves.
Utility: Rights are exercised by staking tokens to secure the network via CometBFT Proof of Stake consensus, settling internal chain transaction fees, and accessing decentralized services such as model uploading in the Model Hub.
These actions are carried out on-chain and are validated by the decentralized network, not by OpenGradient Foundation. Procedures are defined in the project's public documentation (e.g., https://docs.opengradient.ai).
Prior to purchase, the purchaser shall be solely responsible for assessing whether token functionalities or services connected to the token are available in the jurisdiction where the purchaser resides. No representation is made that the token's utilities or connected services will be accessible to all purchasers regardless of location.
OpenGradient Foundation may decide on amendments or updates to the rights and functionalities associated with the $OPG.
Changes are suggested by the issuer and implemented through updates to the token terms or related documentation. Where feasible, the issuer may inform and request the token holders to provide an opinion on material changes in advance, but such changes do not require token-holder approval.
Not applicable.
OPG functions as a utility token within the OpenGradient ecosystem, providing access to its core goods and services. These include:
AI Inference and Execution: Users utilize the token to pay for decentralized AI model inference and execution tasks performed by the network's specialized nodes. This enables access to high-performance compute resources and third-party LLM providers via the verifiable x402 payment-gated protocol.
Decentralized Model Hosting: The token grants access to the Model Hub for hosting and retrieving AI model architectures, ranging from linear regression to stable diffusion. This service leverages decentralized Walrus storage to provide a permissionless and verifiable repository for ONNX-format model artifacts.
Protocol Governance: Token holders possess the right to vote on network parameters and protocol upgrades, including the maintenance of the on-chain registry for approved TEE enclave code. This ensures the community can oversee the cryptographic security standards and operational logic of the HACA architecture.
Prior to purchase, the purchaser shall be solely responsible for assessing whether token functionalities or services connected to the token are available in the jurisdiction where the purchaser resides. No representation is made that the token's utilities or connected services will be accessible to all purchasers regardless of location.
The OPG token is "redeemed" or used within the ecosystem to access the goods and services listed in G7. This occurs when a user or developer pays the network’s protocol fees to access verifiable AI inference services, upload machine learning models to the decentralized Model Hub, or record hardware-attested cryptographic proofs for mission-critical AI workflows. The type of goods or services that can be redeemed may evolve over time based on ecosystem development and governance.
Prior to purchase, the purchaser shall be solely responsible for assessing whether token functionalities or services connected to the token are available in the jurisdiction where the purchaser resides. No representation is made that the token's utilities or connected services will be accessible to all purchasers regardless of location.
There are no restrictions on the transferability of OPG at the protocol level; it may be freely transferred between users.
However, a portion of the token supply allocated to ecosystem, foundation, core contributors, investors, and staking rewards is subject to contractual lock-up and/or vesting schedules (e.g., 12-month cliffs and linear vesting durations ranging from 36 to 96 months). Furthermore, individual trading platforms may impose their own transfer restrictions in accordance with applicable laws and internal policies.
The supply of the crypto-asset is adjusted automatically based on predefined protocol rules. These rules include the programmatic issuance of staking rewards to incentivize node operators and the potential reduction of the effective supply through the slashing of staked collateral in the event of protocol violations. The mechanism operates without discretionary intervention by the issuer.
The network implements a linear distribution of 100,000,000 tokens, representing 10% of the total supply, allocated as staking rewards over a 96-month period to secure the CometBFT-based Proof of Stake consensus. This inflationary reward schedule is counterbalanced by automated slashing rules that programmatically penalize malicious behavior—such as the submission of invalid ZKML or TEE-based verification proofs—by removing a portion of the validator's staked tokens from circulation.
There is no written legal agreement between the person seeking admission to trading and the crypto asset-holder that sets out the laws that govern the legal relationship between those two parties. In the absence of such an agreement, the law and competent court applicable to the OPG shall be the law of the Cayman Islands, unless prescribed otherwise by applicable legislation (incl. consumer law).
There is no written legal agreement between the person seeking admission to trading and the crypto asset-holder that sets out the laws that govern the legal relationship between those two parties. In the absence of such an agreement, the law and competent court applicable to the OPG shall be the law of the Cayman Islands, unless prescribed otherwise by applicable legislation (incl. consumer law).
The OpenGradient (OPG) token is a crypto-asset issued on the Base network, which serves as the underlying distributed ledger technology (DLT). Base is a decentralized Ethereum Layer 2 (L2) scaling solution that settles transactions on the Ethereum blockchain. The OpenGradient protocol also utilizes a specialized EVM-compatible execution layer based on the Cosmos SDK and CometBFT consensus system to manage decentralized AI inference.
OPG is an ERC-20 token deployed on the Base network, an Ethereum Layer 2 (L2) scaling solution. This standard ensures industry compatibility with wallets, exchanges, and smart contracts. The OpenGradient network itself is a decentralized AI infrastructure designed to separate execution from settlement via a novel Hybrid AI Compute Architecture (HACA) that utilizes CometBFT consensus on an EVM-compatible Cosmos SDK layer, integrated with Trusted Execution Environments (TEEs) and ZKML proofs for its operations.
As an ERC-20 token, OPG is deployed as a smart contract on the Base network, an Ethereum Layer 2 (L2) scaling solution. Users can hold, store, and transfer the token using any wallet software (non-custodial or self-custody) that is compatible with the OpenGradient network. Users may also manage the token through accounts provided by third-party custodians or centralized exchanges.
The OpenGradient network, which the OpenGradient utility token relies on, operates using a CometBFT-based Proof-of-Stake consensus mechanism.
In this system, validators (Full Nodes) are chosen to maintain the ledger, manage node registration, settle payments, and validate cryptographic proofs (ZKML/TEE) without re-executing compute based on stake weight, where participants must lock tokens as economic collateral to secure the network against malicious behavior via slashing mechanisms.
The validators and specialized nodes who secure the network are rewarded with economic incentives for their work. These incentives consist of staking rewards derived from token issuance and settlement fees for maintaining consensus and verifying AI inference tasks.
The audit was successfully completed. The audit reviewed the smart contract for the OpenGradientToken.sol contract, specifically evaluating its security, efficiency, and adherence to industry best practices. The outcome was that the smart contracts were found to be "Secure". Although one Quality Assurance (QA) finding regarding a floating pragma was initially identified, it has been fully resolved. The audit concluded that the project has a sound and well-tested code base with no further identified vulnerabilities.
Link: https://docs.opengradient.ai/token_audit.pdf
The admission of OPG to trading on third-party platforms involves specific risks for holders:
Vanna Labs is an entity established for the sole purpose of the issuance and administrative management of $OPG and does not conduct additional business operations, such as the active development or operational guidance of OpenGradient. Because the administrative functions and legal standing of $OPG may depend on this specific entity, any rights related to the token are subject to significant risk if Vanna Labs were to face legal, operational, or financial issues. Specifically, if Vanna Labs were to cease operations or be subject to regulatory sanctions, it could prevent the continued support or recognition of rights associated with $OPG, potentially without a mechanism for recovery.
Regulatory/Legal Risks for related entities: Specific entities that support OpenGradient may be subject to regulatory inquiries, investigations, limitations or sanction in the jurisdictions in which they operate. Such actions could prevent or prohibit operational, financial or other types of support of the OpenGradient.
Holding OPG involves risks inherent to most crypto-assets:
The future success of the OpenGradient ecosystem is subject to significant implementation risks:
Adoption & Competition Risk: The project may fail to attract a sufficient number of users, developers, and participants to create a viable ecosystem. It faces competition from other projects that may have substantially greater financial, technical, and marketing resources.
Roadmap & Development Risk: The project may experience delays, fail to deliver on its published roadmap, or encounter unforeseen technical complexities. Strategic shifts or "pivots" may result in features that do not align with community expectations.
Funding & Treasury Risk: Continued development depends on the effective management of the project's treasury. A shortfall in funding or misallocation of resources could slow or halt ecosystem development.
Governance Risk: For decentralized projects, governance "deadlock" or misalignment of incentives among participants can impede critical network upgrades and strategic decisions.
Infrastructure and Hardware Risk: The ecosystem is dependent on the availability and integrity of third-party Trusted Execution Environments (TEEs), such as Intel SGX and AMD SEV. This introduces exposure to semiconductor supply chain disruptions, geopolitical volatility, and the security protocols of cloud providers like AWS. Furthermore, the project remains subject to inherent hardware-level vulnerabilities, including side-channel attacks (e.g., Spectre) and hardware failures that could adversely affect network inference capacity.
The OPG token and OpenGradient platform rely on complex, emerging technology, which introduces specific risks:
Smart Contract Risk: The smart contracts for OPG and the ecosystem's applications, despite audits, may contain hidden bugs, flaws, or vulnerabilities. Such flaws could be exploited by malicious actors, potentially resulting in the theft or irreversible loss of funds.
Underlying DLT Risk: The project operates on the Base network, an Ethereum Layer 2 (L2) scaling solution, and relies on the security and performance of both the Base and underlying Ethereum networks. These networks are subject to their own risks, such as network congestion, high transaction fees, consensus failures (e.g., 51% attacks), forks, or operational halts. Execution of transactions requires gas fees, which are subject to market conditions and may fluctuate during periods of high activity. Users who interact with OPG via decentralized exchanges (DEXs) may face exposure to front-running or Maximal Extractable Value (MEV), where third parties reorder or insert transactions for their advantage.
Cybersecurity Risk: The ecosystem, including its protocols, bridges, and front-end applications, is a target for cyber-attacks (e.g., DDoS attacks, hacks). A successful attack could disrupt services or lead to a loss of user assets.
Bridge Risk (if applicable): If OPG exists on multiple blockchains, the bridges connecting them are a critical vulnerability. An exploit of a bridge protocol could lead to de-pegging or unrecoverable losses.
Scalability Risk: The underlying technology may not scale effectively to handle a high volume of users or transactions, leading to slow performance and high fees, which would deter adoption.
OpenGradient Foundation has implemented several measures to mitigate the identified risks:
Security Audits: Commissioning comprehensive security audits of all smart contract code from reputable, independent third-party security firms before deployment.
Bug Bounty Program: Operating an active bug bounty program to incentivize ethical hackers and security researchers to discover and responsibly report vulnerabilities.
Regulatory Monitoring: Actively monitoring the global regulatory landscape with the assistance of external legal counsel to ensure compliance with applicable laws.
Use of Reputable Technology: Building on the Base network, a secure and battle-tested Ethereum Layer 2 (L2), to leverage Ethereum’s established consensus mechanism and institutional-grade security.
Strategic Partnerships: Strategic partnerships and exchange listings are pursued to improve liquidity and operational resilience.
The OpenGradient network, which the OpenGradient utility token relies on, operates using a CometBFT-based Proof-of-Stake consensus mechanism.
In this system, validators (Full Nodes) are chosen to maintain the ledger, manage node registration, settle payments, and validate cryptographic proofs (ZKML/TEE) without re-executing compute based on stake weight, where participants must lock tokens as economic collateral to secure the network against malicious behavior via slashing mechanisms.
The validators and specialized nodes who secure the network are rewarded with economic incentives for their work. These incentives consist of staking rewards derived from token issuance and settlement fees for maintaining consensus and verifying AI inference tasks.
Data provided by the MiCA Crypto Alliance as a third party, with no deviations from the calculation guidance of Commission Delegated Regulation (EU) 2025/422, Article 6(5). As the base layer is a decentralised network, estimates on individual node power draw are used. Full methodology available at: www.micacryptoalliance.com/methodologies
Data provided by the MiCA Crypto Alliance as a third party, with no deviations from the calculation guidance of Commission Delegated Regulation (EU) 2025/422, Article 6(5). As the token studied does not have activity at the time of the study, its energy intensity is approximated through the calculation of a market cap-weighted average of the peer crypto asset activities, compared to the Opengradient's market capitalisation estimated through the product of its issue price and total supply. The peer group is defined as other ERC-20 tokens on Base whose market capitalisation falls within ±25% of Opengradient's market cap at issue are included, to ensure only similar peers are used for estimations. Full methodology available at: www.micacryptoalliance.com/methodologies
Data provided by the MiCA Crypto Alliance as a third party, with no deviations from the calculation guidance of Commission Delegated Regulation (EU) 2025/422, Article 6(5). Full methodology available at: www.micacryptoalliance.com/methodologies
| Energy Source | Percentage |
|---|---|
| Bioenergy | 3,2930025700% |
| Coal | 15,8013187598% |
| Flared Methane | 0,0000000000% |
| Gas | 30,9446462621% |
| Hydro | 9,5360174288% |
| Nuclear | 13,6903683910% |
| Other Fossil | 2,4428915308% |
| Other Renewables | 0,4409769636% |
| Solar | 4,8184425467% |
| Vented Methane | 0,0000000000% |
| Wind | 19,0323355473% |
| Total |
|
Data provided by the MiCA Crypto Alliance as a third party, with no deviations from the calculation guidance of Commission Delegated Regulation (EU) 2025/422, Article 6(5). Full methodology available at: www.micacryptoalliance.com/methodologies
Data provided by the MiCA Crypto Alliance as a third party, with no deviations from the calculation guidance of Commission Delegated Regulation (EU) 2025/422, Article 6(5). As the token studied does not have activity at the time of the study, its carbon intensity per transaction is approximated through the calculation of a market cap-weighted average of the peer crypto asset activities, compared to the Opengradient's market capitalisation estimated through the product of its issue price and total supply. The peer group is defined as other ERC-20 tokens on Base whose market capitalisation falls within ±25% of Opengradient's market cap at issue are included, to ensure only similar peers are used for estimations. Full methodology available at: www.micacryptoalliance.com/methodologies
Data provided by the MiCA Crypto Alliance as a third party, with no deviations from the calculation guidance of Commission Delegated Regulation (EU) 2025/422, Article 6(5). As the base layer is a decentralised network, estimates on individual node weight, hazardous components and depreciation rate are used. As the token studied does not have activity at the time of the study, its waste intensity is approximated through the calculation of a market cap-weighted average of the peer crypto asset activities, compared to the Opengradient's market capitalisation estimated through the product of its issue price and total supply. The peer group is defined as other ERC-20 tokens on Base whose market capitalisation falls within ±25% of Opengradient's market cap at issue are included, to ensure only similar peers are used for estimations. Full methodology available at: www.micacryptoalliance.com/methodologies
Data provided by the MiCA Crypto Alliance as a third party, with no deviations from the calculation guidance of Commission Delegated Regulation (EU) 2025/422, Article 6(5). Usage of natural resources is approximated through land use metrics. Land use, water use and water recycling are calculated based on energy mix-specific estimates of purchased electricity land intensity, purchased electricity water intensity, and water recycling rates. As the token studied does not have activity at the time of the study, its land intensity and waste intensity are approximated through the calculation of a market cap-weighted average of the peer crypto asset activities, compared to the Opengradient's market capitalisation estimated through the product of its issue price and total supply. The peer group is defined as other ERC-20 tokens on Base whose market capitalisation falls within ±25% of Opengradient's market cap at issue are included, to ensure only similar peers are used for estimations. Full methodology available at: www.micacryptoalliance.com/methodologies