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Revolutionizing Blockchain Safety with Opus AI

Ensuring trust and security for AI-driven transactions in the decentralized world.

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Opus AI
45.987
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AI Verification
10.342
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Blockchain Layer
32.674
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AI Agents
20.845

Opus AI Verification Layer
Ensuring Trust and Security
for AI Transactions

A Universal Standard for AI Transactions

The Verification Layer aims to become the industry standard, like audit protocols for smart contracts, ensuring consistent security and reliability for all AI-driven actions.

The AI Verification Layer as a Middleware

The Verification Layer acts as a middleman, ensuring that AI agents' interactions with the blockchain undergo thorough analysis and approval, preventing potential exploits before they reach the blockchain.

Trust & Security

Ensures safe and reliable transactions by
eliminating reckless, unintended, or malicious
actions that could compromise the system.

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Scalability & Sustainability

Provides a robust foundation to support the
growth and complexity of AI operations,
ensuring long-term scalability and efficiency.

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Market Confidence

Encourages institutional participation
and retail trust, fueling growth across
the entire ecosystem.

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The Potential Of AI Agents

AI Agents are transforming blockchain tasks with automation, boosting security and efficiency, and driving market growth

AI agents are advanced, autonomous systems that can reason, make decisions, and execute complex tasks without constant human guidance. As these systems become more sophisticated, they will play a pivotal role in blockchain ecosystems. According to experts, over 80% of blockchain transactions could be handled by AI agents in the next 6–12 months.

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DeFi Token Trading

Automatically buy and sell tokens
across DEXs at the best prices

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Stablecoin Yield Farming

Move stablecoins between protocols to
maximize yield while managing risk

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Cross-Chain Payments

Send money to friends using the cheapest and
fastest routes across chains

$0B +

Predicted crypto AI
revenues, driven by AI Agents

$0.1B

With the market
value by 2030

How do AI Agents work?

AI agents combine intelligence, tools, and
memory to create autonomous systems that can understand, act, and learn - here's how they work

The Brain (AI Model)

Serves as the cognitive center - processing requests, making decisions, and crucially, reflecting on its actions to learn and improve over time.

The Tools (External Interfaces)

Enable real-world action through APIs, software, and blockchain interactions, actively support

The Memory System

Maintains vital context, storing information for current tasks while enabling the system to learn from experience and progress toward long-term goals rather than
just react.

Key Benefits

AI Agents improve task efficiency, optimization, and security

Market Growth

AI Agents' market expected to reach
$47.1B by 2030

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How It Works

Workflow Overview for Secure and Efficient AI Driven Blockchain Transactions

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Icon AI Agent Proposes a Transaction

When a user instructs an AI agent (e.g., “transfer 1 ETH to Contract X” or “deploy a new ERC-20 token”), the agent bundles three items:

  • Transaction Payload
  • Original Prompt
  • Text Result
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Before executing any on-chain transaction, OPUS Layer simulates it in a secure, isolated environment. This process identifies risks like malicious contract interactions, unexpected token behavior, and phishing attempts. By testing each step before it reaches the blockchain, OPUS Layer ensures transaction integrity, safeguarding both user assets and the AI agent.

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Once the transaction is deemed safe, OPUS Layer ensures it aligns with the user’s original instructions. A specialized LLM verifies the transaction details against the prompt, and hardcoded limits prevent exceeding predefined thresholds. By combining advanced LLM checks with deterministic guardrails, OPUS Layer ensures every transaction follows the user’s intent within a controlled, secure environment.

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Once the transaction passes both simulation and verification, OPUS Layer produces a tamper-proof cryptographic report—a verifiable “receipt” detailing the AI agent’s intended actions and confirming compliance with all safety and instruction checks. This report is then submitted on-chain with the final transaction, ensuring a transparent, immutable record of the verification process. By providing a trusted audit trail, OPUS Layer enables users, developers, and auditors to easily review and confirm that each transaction is executed correctly and securely.

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$OPUS Revenue Model:
Sustainable Growth &
Value Capture

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The $OPUS revenue model is designed to ensure sustainable growth and capture value within the ecosystem.

It integrates token-based fees and a flexible structure to align demand with network usage, creating incentives for efficiency.

Optimized $OPUS Ecosystem for Efficiency

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Tiered Fee Structure:

  • Fees depend on request complexity: simple tasks cost less, complex ones more $OPUS.
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Protocol-Level Balances:

  • $OPUS reserves ensure smooth transactions, reduce token supply, and boost scarcity.
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Sustainability:

  • Ongoing $OPUS demand supports users and aligns incentives for long-term growth.

Token-Based Fees

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All verification fees are settled in $OPUS, directly linking demand to network activity and the overall growth of the ecosystem.

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This model ensures that as the network usage increases, the demand for $OPUS also rises, supporting the token's value.

Payment & Onboarding Options

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Direct User Registration

  • Users purchase USDC and register on the chosen Layer-2 network.
  • Users pay for verification in USDC, which is converted to $OPUS and burned, reducing supply and driving demand.
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Service Provider Integration

  • AI agent service providers handle the registration process and maintain a balance of $OPUS.
  • Each user request deducts a $OPUS-denominated fee from the provider’s account.
  • Providers can set maximum spending limits to control costs, ensuring predictable expenses.

$OPUS Tokenomics: Distribution, Utility & Governance

$OPUS is required for all verification actions on the OPUS Layer, directly linking token demand to network usage and security.
This inherent utility helps maintain consistent demand, incentivizing both token holders and ecosystem participants to support the network’s development and adoption.

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Transaction Tax:

5% tax funds from transactions ensure operations, growth, and adaptability.

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80% to Liquidity Pool:

Enhances market depth, stability, and smooth trading experiences..

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10% to Treasury:

Ensures long-term ecosystem stability and future development.

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10% to Marketing:

Drives awareness, partnerships, and user adoption.

Total Supply:

$OPUS

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Challenges And
Solutions In AI-Driven
Blockchain Systems

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AI Hallucinations:

AI may generate inaccurate or fabricated data, leading to erroneous transactions.

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Misinterpretation of User Intent:

AI may misunderstand a user's command, resulting in unpredictable actions.

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Vulnerabilities to Exploits:

Malicious actors could attempt to deceive AI into approving harmful actions.

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Lack of Accountability:

Without a reliable intermediary, it’s difficult to ensure that AI actions reflect the user’s true intentions.

OPUS Layer serves as the essential verification standard for all AI blockchain actions, solving key AI-Related problems. This lets teams focus on innovation while users gain confidence knowing their transactions only execute when matching their exact intentions.

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The result:

Developers build faster and users confidently embrace AI blockchain tools, all protected by a single trusted standard.

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Opus Layer Solutions:

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Hallucinations:

The simulation phase tests each transaction in an isolated environment, preventing AI-generated inaccuracies or fabrications from reaching the blockchain

Lack of Accountability:

Each verified transaction includes a cryptographic proof recorded on-chain, creating an immutable audit trail documenting the verification process

Misinterpretation of User Intent:

The LLM cross-checking phase verifies each transaction against the user’s original instructions, ensuring AI actions align with user intent

Vulnerabilities to Exploits:

The secure sandbox environment detects and blocks malicious attempts to manipulate the AI into unauthorized actions

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Safeguard AI-driven Actions In DeFi Now

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