Agent Oracle: The Missing Cornerstone of Real-World AI

The Importance of Agent Oracles in the Age of AI

As a professional in the financial sector, I've witnessed firsthand the rapid advancement of AI and its potential applications across various industries. However, over the past few months spent working on agent systems, I've become increasingly aware of an often-underestimated truth: regardless of how powerful Large Language Models (LLMs) become, they remain incapable of reliably assessing the state of the real world. This limitation poses a significant challenge, especially when agents enter the realm of actual execution.

Why LLMs Aren't Enough

The problem lies in the fact that LLMs are fundamentally designed to produce the most probable text, not to verify facts or infer world truths. They lack the ability to validate news, identify phishing links, determine if an API has been compromised, or understand if a law is actually in effect. These tasks require "verification," which is fundamentally different from "language prediction." Consequently, LLMs can never serve as the 'source of truth' for agents.

Overcoming the Limitations of Traditional Oracles

Traditional oracles, which excel at providing structured, quantifiable data like ETH/USD and BTC/BNB prices, cannot address the complexities of reality that agents face. Agents deal with unstructured events, conflicting sources, semantic judgments, real-time changes, and fuzzy boundaries. This "event truth" is an order of magnitude more complex than "price truth."

Event Verification Market: A Step in the Right Direction

The event verification market proposed by Sora represents a promising attempt to address this challenge. Instead of relying on node voting, Sora's approach relies on agents performing actual verification tasks. The process involves data fetching, outlier filtering, semantic verification using LLMs, aggregation weighted by agent reputation, reputation updating, and challenge penalties. The core insight is that earnings should correlate with reputation, which is earned from long-term, real work.

The Need for an Open Market for Truth

However, Sora's approach remains too restrictive. Real-world event verification requires diverse expertise from fields like finance, regulations, healthcare, multiple languages, security, fraud investigations, and on-chain monitoring. No single team can build a comprehensive agent cluster to cover all these areas. That's why we need an open, multi-party "truth race" market.

Building an Automated Truth Committee

We are in the process of building a system that incorporates ERC8004 and x402. ERC8004 will create a programmable reputation layer, recording each agent's historical performance, call counts, success stories, challenge records, areas of expertise, and stability. This will allow a "verifiable career" to naturally determine agent eligibility. x402 will handle the payment layer, enabling us to summon multiple high-reputation agents for parallel verification and cross-checking during event verification. Aggregated outputs will be weighted based on contribution. Instead of relying on a single expert, we are assembling a committee – an automated "truth committee."

Semantic Truth: Building Social Consensus

Intuition is working on an additional layer: semantic truth. Certain truths, such as "Is a project trustworthy?" or "Is the governance quality good?", can be expressed using TRUST triples (Atom - Predicate - Object). Consensus strength can accumulate by supporting or opposing these triples. This approach is suitable for long-term facts like reputation, preferences, risk levels, and tags.

The Reality Stack Infrastructure

The future truth structure will have two complementary layers: an event truth layer (Sora / ERC8004 + x402) for the real-time world and a semantic truth layer (TRUST) for long-term consensus. Together, these layers will form the truth base for AI. The reality stack will be divided into three distinct layers: the event truth layer, the semantic truth layer, and the final settlement layer (L1/L2 blockchain).

Revolutionizing the Web with Trusted AI

Without Agent Oracles, agents cannot verify facts, identify sources, avoid scams, mitigate polluted data, take high-risk actions, or conduct cross-checks like humans. Without Agent Oracles, the agent economy cannot exist. However, with Agent Oracles, we can, for the first time, create a verifiable reality layer for AI.

The Future of Agent Oracles

Future Oracles will not be node networks, but will consist of countless specialized agents. These agents will earn reputation through income, participate in verification through reputation, and gain new jobs and challenges through verification. They will automatically collaborate, automatically divide labor, and self-evolve, eventually expanding into all domains of knowledge. This will be a true automated society truth market.

While blockchain provides trusted ledgers, the agent era requires trusted reality, trusted events, trusted semantics, trusted judgments, and trusted execution. Without Agent Oracles, AI cannot act safely in the world. With it, we can create a "reality layer" for machines for the first time. The future belongs to protocols that can help machines understand the real world.