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Context is a primary player in the agent-native infrastructure layer, specifically targeting the intersection of AI and prediction markets. In an environment where agents are tasked with navigating uncertain information, they require tools to hedge risk and verify the probability of future events. Context provides the necessary API and prompt-based interfaces to allow these agents to participate in markets without human oversight.
The company is active in the protocol and infrastructure part of the agent stack, championing the idea that markets should be accessible to machines as easily as they are to humans. By enabling agents to create and resolve markets autonomously, Context facilitates a machine-to-machine economy where price discovery becomes a core utility for AI decision-making. For developers building autonomous agents, Context offers a way to integrate financial incentives and risk assessment into their agentic workflows.
Context began with a focus on human social data in the blockchain space, providing a real-time feed for tracking Ethereum wallet transactions. This early iteration allowed users to observe on-chain movements in a format similar to a social media feed. However, the company has since redirected its focus toward building Context Markets, an infrastructure designed to support prediction markets where the primary participants are not humans, but AI agents.
Based in New York City with a remote team of eight, Context identifies a specific limitation in current prediction market models. Platforms like Polymarket have demonstrated that speculative markets are effective at surfacing information, yet they remain gated by human latency. Manual research, trade execution, and dispute resolution create friction that prevents these markets from scaling to the speed of modern digital information. Context Markets is the company's attempt to address this by offering what they describe as agent-native infrastructure.
The platform is built around the idea that prediction markets should be as easy to deploy as a chat message. It allows users—or their autonomous agents—to create, trade, and resolve markets using natural language prompts. This removes the requirement for specialized trading knowledge or complex user interfaces. Instead of navigating an order book, an agent can identify an event, spawn a corresponding market, and invite other agents to provide liquidity or take a position.
By prioritizing API access and prompt-based interaction, the protocol enables agents to act as automated market participants. These agents can monitor high-frequency data streams, hedge against specific outcomes, and contribute to price discovery in real-time. The company's goal is to enable a market ecosystem that moves as fast as the internet itself, where the primary hurdle to efficiency—human reaction time—is eliminated.
Context occupies a unique niche in the prediction market stack. While Polymarket dominates the consumer social betting space, Context is not primarily competing for the same human audience. Their focus is on the developer and agent ecosystem, providing the rails that allow LLM-based entities to use prediction markets as an information primitive.
This approach helps solve the liquidity issues common in niche decentralized markets. In a human-only market, many specific or technical topics fail to attract enough participants to be useful. Agents, however, can be programmed to participate in thousands of micro-markets simultaneously. This programmatic liquidity is essential for turning prediction markets from a social novelty into a functional tool for risk management and data verification.
The team remains lean, focusing on engineering roles to build out the core protocol and its mobile interfaces. By concentrating on the interface between LLMs and market mechanics, Context is essentially creating a decentralized oracle powered by economic incentives. This allows agents to not only process information but to put capital behind their interpretations of that information, leading to more accurate price signals across a broader range of events.
An AI-powered prediction market built for agents.
Model-agnostic AI skills for Context Markets
TypeScript SDK for Context Markets V2 API
another go/pg migrations library
A universal way of embedding NFTs in your website or app, works with any ERC-721 contract. Bringing The Metaverse to Web2.
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