Orca announces the launch of an AI-native execution platform for the next generation of prediction markets

Operated by Orca Node Limited, the AI-native prediction market execution platform Orca officially announced its strategic vision today: to create a full-stack Agentic Execution ecosystem aimed at the rapidly growing global prediction market economy.

As global financial markets accelerate towards real-time information pricing, tokenized assets, and outcome-oriented financial products, prediction markets are gradually becoming one of the most promising tracks in the digital finance sector. From political events, macroeconomic data, cryptocurrency price points, to sports events, commodities, and various real-world outcomes, prediction markets are transforming collective intelligence into tradable probability assets.

However, the current prediction market industry is still in a highly fragmented stage. Liquidity is dispersed across different platforms, and the same or highly correlated market outcomes often exhibit price discrepancies across different trading venues, making it increasingly difficult for human traders to continuously monitor global news, market sentiment, order book changes, and price fluctuations at the required speed.

Orca is built to address this structural issue. The Orca platform combines AI Agents, cross-market execution, sentiment data infrastructure, automation frameworks, and API market access capabilities, aiming to create an autonomous and intelligent execution layer for prediction markets.

"Prediction markets are becoming the financial infrastructure of collective intelligence," said an Orca spokesperson. "But having information intelligence is not enough. The next phase's truly important opportunity lies in execution capabilities, which means the ability to read signals, identify market inefficiencies, manage risks, and execute in real-time within fragmented markets. Orca's goal is to become this execution layer."

Orca: The Agentic Execution Layer for Global Truth Markets

Orca is designed as an AI-driven infrastructure platform that enables users to engage in complex prediction market strategies through autonomous AI Agents.

Traditional prediction market participants often need to manually monitor multiple platforms, compare market odds, calculate arbitrage spreads, and manage execution risks themselves. The Orca AI Agent system aims to automate the entire trading lifecycle, from signal identification and strategy selection to order routing, risk checks, trade execution, and performance monitoring, forming a complete intelligent execution feedback loop.

The core strategy modules of the Orca platform include:

• Cross-platform Arbitrage: Capturing price differences between different prediction market platforms

• Sentiment and Momentum Trading: Identifying trend changes based on real-time market pulse data

• Spike Detection: Capturing whale trades, emotional fluctuations, and temporary market imbalances

• Price Deviation Trading: Identifying lags and mismatches between real-world data and prediction market odds

• Multi-Agent Composite Execution: Configuring multi-strategy combinations based on different market environments

This makes Orca not just a single market trading bot, but a composable execution infrastructure layer for the entire prediction market economy. According to Orca's project documentation, the platform's mission is to connect fragmented Truth Markets with unified capital growth opportunities through cross-platform arbitrage, sentiment intelligence, and multi-strategy AI execution.

A Four-Layer Technical Architecture Built for Autonomous Market Execution

Orca's underlying architecture is built on a modular execution stack designed to support institutional-level automated trading, continuous market monitoring, and scalable intelligent execution capabilities.

1. Signal Intelligence Layer --- Signal Intelligence Layer Powered by Nodepay

The first layer of Orca's infrastructure is the Signal Intelligence Layer, responsible for collecting real-time market signals from distributed data sources.

Nodepay, as Orca's upstream sentiment data layer, provides the platform with real-time community sentiment, market pulse signals, centralized exchange heat data, and signal stream inputs. In the Orca architecture, Nodepay is not just an ordinary data provider but the core signal foundation for Orca's sentiment strategies, momentum strategies, and information velocity strategies.

According to Orca's project documentation, the Nodepay distributed network contributes 12 million+ real-time signals, supported by 120,000+ monthly active users, 15,000 stable daily active users, and a 45% Day-30 retention rate. This distributed intelligence layer enables Orca to identify abnormal sentiment fluctuations, narrative accelerations, CEX heat changes, and early market pulse signals, which often appear before the re-evaluation of prediction market prices.

2. OpenClaw Automation Layer --- The Automation Orchestration Hub for AI Agents

The second layer of the Orca architecture is supported by OpenClaw. OpenClaw is the automation infrastructure for the Orca AI Agent system, enabling the platform to achieve 24/7 continuous autonomous execution capabilities.

OpenClaw allows Orca to automatically orchestrate data collection, market monitoring, strategy selection, risk checks, trade execution, and feedback loops without requiring users to manually monitor every market. Through OpenClaw, Orca's AI Agents can continuously operate across supported platforms and handle different tasks using modular skill packages, including market monitoring, trade execution, risk management, and report generation.

This architecture gives Orca's execution logic characteristics of repeatability, auditability, and scalability, laying the foundation for the platform to serve individual users, community users, and institutional market participants simultaneously.

3. AI Strategy Layer --- Orca AI Agent Suite

The Orca AI Agent suite is designed to facilitate user participation in complex prediction market execution through automated strategies.

The core AI Agents in the platform roadmap include:

| AI Agent | Positioning | |--------------|---------------------| | EDEN | Trial AI Agent for early users | | ORACLE | Short-cycle execution Agent | | AXIOM | Medium-cycle strategy Agent | | APEX | Full-strategy coverage execution Agent |

These Agents are planned to operate in prediction market environments including Polymarket and Kalshi. Orca's roadmap also lists the deployment of EDEN, ORACLE, AXIOM, and APEX as core components of the 2026 Phase One AI Agent launch plan.

The AI Agent layer will be supported by Orca's Fusion execution engine, risk framework, predictive execution models, and real-time market performance optimization mechanisms.

4. API Execution Layer --- Market Access Layer for Polymarket and Kalshi

Orca's execution layer is designed around API integration with major prediction market platforms.

Kalshi and Polymarket are the primary market access platforms for Orca. Through these API integrations, Orca can continuously acquire market data, standardize prices, match the same or highly correlated outcome markets, identify price discrepancy opportunities, execute order routing, and manage trading risks across multiple platforms.

Orca's API integration framework includes:

• Market Data Collection: Continuously reading prices, order books, liquidity depth, market metadata, and settlement conditions

• Outcome Matching: Mapping semantically identical or highly correlated events across different platforms

• Dual-leg Synchronized Execution: Reducing unilateral transaction risks in cross-platform arbitrage through synchronized ordering

• Risk and Audit Routing: All API execution actions are routed through Orca's risk engine and exportable logging system

This execution model allows Orca to operate within fragmented liquidity pools of prediction markets and capture potential pricing inefficiencies between different platforms.

Nodepay Ecosystem Further Strengthens Orca's Strategic Data Layer

Nodepay, as Orca's real-time sentiment data and distributed signal infrastructure partner, is a key component of Orca's business model.

The institutional ecosystem associated with Nodepay includes OKX Ventures, Animoca Brands, Jump, IDG Capital, Mirana, Funders, Optic Capital, TokenBay Capital, Elevate, Mythos, and IBC Group.

This ecosystem relationship enhances Orca's strategic positioning on two levels:

1. It further demonstrates Nodepay's importance and credibility as a Web3 data infrastructure.

2. It enables Orca to build its AI execution model on a sentiment data network with an institutional network, capital ecosystem, and market infrastructure background.

In Orca's overall architecture: Nodepay provides perception layer signals; OpenClaw is responsible for automation orchestration; Orca transforms signals into strategic decisions; Polymarket and Kalshi provide the final execution endpoints. This integrated system forms the core foundation of Orca's business model: data intelligence, Agent automation, market access, and execution monetization.

Business Model Built Around AI Agent Access, Token Utility, and Market Expansion

Orca's business model revolves around platform utility, AI Agent subscriptions, ecosystem participation, and the long-term $iORCA token economy.

According to Orca's Tokenomics documentation, $iORCA is positioned as the native utility token of the Orca ecosystem, supporting AI Agent access, platform functionalities, staking incentives, fee routing, and future participation in prediction markets.

The utility model of $iORCA includes:

• AI Agent subscription access

• Advanced strategy permissions

• Trading fee discounts

• Community incentives

• Governance participation

• Staking rewards

• Priority access to AI signals

• Future rights to participate in prediction markets

Orca's documentation also describes several long-term demand channels, including buyback and liquidity pool support mechanisms related to AI Agent subscription revenue, AI Agent realization income, future prediction market platform trading fees, and platform native utility. This forms Orca's platform growth flywheel: more users lead to more AI Agent subscriptions, providing deeper liquidity support and higher trading activity, thereby enhancing ecosystem utility and boosting market confidence.

Roadmap: From AI Agent to OrcaMarket.ai

Orca's roadmap outlines a multi-year expansion plan aimed at gradually evolving from AI Agent deployment to a unified global prediction market infrastructure.

2026 --- Phase One: AI Agent Launch

In 2026, Orca plans to deploy its AI Agent suite in prediction markets including Polymarket and Kalshi.

The 2026 roadmap includes:

• Backend architecture and infrastructure deployment

• Closed testing of ORACLE and AXIOM

• Initialization and execution testing of the CrossArb engine

• Launch of public AI Agent subscriptions

• Launch of the Fusion execution engine

• Community guidance and recommendation ranking system launch

• Expansion of ambassador programs and regional growth projects

• Security audit preparations

• Introduction of early institutional users and whale users

2026 Goals:

• 200,000+ registered users

• 25,000+ active users

• $260 million AUM target

2027 --- Phase Two: $iORCA Token and Prediction Market Ecosystem

In 2027, Orca plans to launch the $iORCA token economy and expand ecosystem participation through staking, governance, and platform utility.

Key milestones include:

• $iORCA TGE and exchange listing

• Launch of buyback and reward distribution mechanisms

• Token-gated functionalities go live

• Advanced AI Agent access permissions opened

• Global market and trading community expansion

• Governance framework development

• Launch of ORCA Prediction Market Beta infrastructure

• Multi-tier staking and loyalty reward upgrades

• Strategic liquidity provider expansion

By Q4 2027, Orca aims to officially launch the ORCA Prediction Market ecosystem, supporting AI-driven native prediction market trading and institutional-level API infrastructure.

2027 Goals:

• 800,000+ registered users

• 150,000+ active users

• $660 million AUM target

2028 --- Phase Three: Product Upgrades and Multi-Platform Expansion

In 2028, Orca plans to upgrade to a mobile-first, AI-native prediction trading ecosystem.

The roadmap includes:

• Launch of iOS and Android mobile applications

• Integration of more prediction market platforms

• Expansion of multi-Agent orchestration capabilities

• Portfolio analysis and AI-assisted strategy management

• AI Agent wallet execution

• Direct on-chain ordering system

• Copy-agent following functionality

• Cross-platform prediction market aggregation

• Cross-chain wallet support

• Release of Agent SDK for developers and advanced users

By the end of this phase, Orca aims to establish $iORCA as a unified AI prediction trading terminal.

2029 and Beyond --- OrcaMarket.ai

Orca's long-term vision is to launch OrcaMarket.ai, a unified AI-native prediction market layer that aggregates global prediction markets into a single intelligent execution platform.

The long-term direction of OrcaMarket.ai includes:

• Cross-market liquidity aggregation

• AI-native portfolio routing

• Autonomous market execution

• Institutional-level prediction market infrastructure

• Open infrastructure for developers, institutions, and AI traders

• A complete AI-to-Market execution ecosystem

Orca's roadmap positions OrcaMarket.ai as the Bloomberg Terminal for AI-driven prediction markets.

Infrastructure Platform for a New Era of Agentic Finance

Orca believes that the evolution of the next generation of financial markets will no longer be defined solely by exchanges, assets, or single trading platforms. It will be defined by intelligent execution infrastructure.

As prediction markets, tokenized assets, outcome contracts, and autonomous AI Agents converge, Orca is positioning itself as the platform layer connecting information, capital, and execution. By combining Nodepay-driven sentiment intelligence, OpenClaw automation infrastructure, Polymarket and Kalshi API integrations, and a multi-year roadmap towards OrcaMarket.ai, Orca is building an infrastructure platform for the next generation of global market participation methods.

"Orca is not just building AI Agents," the Orca spokesperson added. "Orca is building a future-oriented execution layer. In this future, markets never close, information flows in real-time, and intelligent Agents will become the primary interface for users to connect with global opportunities."

About Orca

Orca is an AI-native prediction market execution platform operated by Orca Node Limited. The platform combines AI Agents, sentiment intelligence, API market access, OpenClaw automation infrastructure, and cross-platform execution strategies to support users in autonomously participating in global prediction markets. Orca's long-term mission is to become the Agentic Execution Layer for global Truth Markets, enabling users, institutions, and developers to gain intelligent market execution capabilities within a fragmented prediction market ecosystem.