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Prophet seeks to redefine how prediction markets operate by using AI to act as the direct counterparty, eliminating the reliance on traditional matching mechanisms. This article offers an in-depth breakdown of Prophet's workflow, including how AI generates probability prices, how multiple models achieve judgment integration, and how the market performs automated settlement—providing you with a clear understanding of the underlying logic of this AI-driven prediction market.

As AI begins to directly participate in market pricing and settlement, prediction market efficiency increases, but it also introduces new risks and uncertainties. This article examines the challenges the Prophet model may face, including AI judgment errors, lack of arbitration mechanisms, liquidity constraints, and regulatory concerns, along with the underlying risks of AI-driven markets.

SP1 zkVM is a general purpose zero knowledge virtual machine that allows developers to write arbitrary programs in Rust and generate verifiable ZK proofs. It is suitable for cross chain systems, Rollup scaling, and verifiable AI computation. zkEVM, by contrast, focuses on proof generation compatible with the Ethereum ecosystem, mainly for on-chain transaction and smart contract verification. The two differ significantly in programmability, verification efficiency, decentralized computing power, and ecosystem integration, so developers can choose the most suitable ZK infrastructure based on their application needs.

SP1 zkVM is a general purpose zero knowledge virtual machine, or zkVM, launched by Succinct. It allows developers to write programs in Rust and automatically generate ZK proofs. Its core process includes compiling Rust programs into RISC-V instructions, executing them in the zkVM to generate an execution trace, converting the trace into a STARK proof, compressing it into a SNARK proof, and finally submitting it for on-chain verification.

The x402 protocol is an API auto-payment protocol tailored for AI Agents and the Machine Economy, designed to resolve payment challenges when automated programs invoke API services. By extending the HTTP 402 Payment Required status code and incorporating cryptographic payment mechanisms, it allows programs to automatically execute payments and settlements upon API requests. This establishes a more native internet payment infrastructure for machine-to-machine (M2M) service transactions.

Succinct’s Prover Network is a decentralized computing power market for zero knowledge proofs, or ZK proofs. It connects proof requesters with Prover nodes around the world. Developers initiate a proof request by submitting program code and input data. The network’s Auctioneer then assigns tasks based on cost, speed, and node reputation. Prover nodes execute the program on SP1 zkVM and generate the ZK proof, which is ultimately submitted on-chain for verification and settlement.

AI Model Routing is a technical mechanism that dynamically selects the most suitable model from a pool of AI models to handle incoming requests, also commonly referred to as an AI Model Router or LLM Router. By leveraging a model routing system, AI applications can automatically choose among different large language models (LLMs) based on factors like task complexity, cost, and response time, striking a balance between performance and cost.

An AI Agent API is a mechanism that enables AI Agents to invoke AI models or external services via an Application Programming Interface (API). Through APIs, AI Agents can access large language models, data services, and blockchain applications, thereby automating complex tasks.

Gate.AI is a one-stop intelligent large model routing platform designed for AI applications and AI agents. It enables developers to access major global models—including GPT, Claude, Gemini, and DeepSeek—through a unified API, while centrally managing model call costs, permissions, stability, and data security. The platform supports both OpenAI and Anthropic protocol compatibility, intelligent routing, automatic fallback, multimodal task capabilities, and enterprise-grade governance. Additionally, it integrates Gate Pay and the x402 protocol to deliver automatic payment and machine-to-machine (M2M) settlement for AI agents.

Gate.AI and OpenRouter are both AI model routing platforms (AI Model Router) that allow developers to call multiple large language models—such as GPT, Claude, Gemini, and DeepSeek—through a unified API. However, they differ significantly in product positioning and capability direction. OpenRouter is primarily an AI model aggregation access platform, focused on helping developers quickly invoke mainstream models and switch between them via a single interface. In contrast, Gate.AI extends further into enterprise-level AI infrastructure. Beyond model aggregation, it offers intelligent routing, automatic fallback, multimodal capabilities, enterprise governance, and AI Agent auto-payment features.

Succinct is a decentralized zero knowledge proof, or ZK proof, network built on Ethereum. It is designed to give developers programmable, low barrier infrastructure for proof generation. Through its core component, SP1 zkVM, developers can write verifiable programs directly in general purpose programming languages such as Rust, without manually designing complex ZK circuits. The Succinct Prover Network connects proof requests with global computing resources through an open Prover market, enabling proof generation, verification, and settlement.

Succinct and RISC Zero both provide zero knowledge proof, or ZK proof, infrastructure, but they are designed with different goals in mind. Succinct places greater emphasis on a decentralized proof market and a general purpose verification layer. Through its SP1 zkVM and Prover Network, it supports cross chain verification, Rollups, and verifiable AI computation. RISC Zero, by contrast, focuses more on a verifiable execution environment and developer experience, using RISC-V architecture to lower the barrier to building ZK applications. The two differ significantly in zkVM architecture, proof generation flow, economic mechanisms, ecosystem positioning, and suitable use cases.

Gate AI is a general-purpose AI assistant developed by Gate, built around three core capabilities: conversation, search, and task execution. Users can interact with Gate AI via natural language to quickly obtain answers, generate solutions, and complete related tasks, thereby boosting the efficiency of information acquisition and processing. By integrating intelligent Q&A with real-time data, Gate AI delivers a more efficient, all-in-one information acquisition experience.

Gate AI is a general-purpose AI assistant developed by Gate, capable of conversational Q&A, information search, data insights, and task execution, enabling users to efficiently obtain answers and complete tasks via natural language. By integrating platform content, real-time information, and intelligent recommendations, Gate AI delivers a seamless experience for information retrieval and solution generation, and is evolving into the unified entry point for the Gate AI ecosystem.

SYY is the stock ticker of Sysco Corporation, a U.S. foodservice distribution company. Its core business includes restaurant ingredient delivery, cold chain logistics, warehouse management, and restaurant supply chain services. As one of the world’s largest Foodservice distribution platforms, Sysco has long held an important position in the U.S. restaurant supply chain system.