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Rain Launches AI-Ready SDK and $5M Grants to Expand Decentralized Prediction Markets

Rain Launches AI-Ready SDK and $5M Grants to Expand Decentralized Prediction Markets

New updates have been reported about Rain.

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Rain, a decentralized prediction market protocol built for AI agents, has released an AI agent-ready SDK and a $5 million grant program to drive global development of independent prediction market platforms on its infrastructure. The protocol, which is permissionless and compatible with OpenClaw, allows builders to create, price, trade, provide liquidity, and resolve markets through modular primitives, enabling a live market to be generated from a single agent prompt without manual coding.

The grant pool allocates $3 million to teams building directly on the Rain protocol and reserves $2 million for a daily rewards scheme designed to stimulate sustained ecosystem activity. Developers and creators can retain full control over branding, product design, and regulatory approach, while earning a flat 0.5% of the trading volume they generate, paid from Rain’s token allocation, giving them a predictable revenue share tied to protocol usage.

Rain positions itself as an open alternative to more centralized prediction market platforms, where APIs and SDKs typically restrict developers to existing, platform-owned markets rather than enabling them to launch new ones. By exposing the full market stack and supporting private, invitation-only markets, AMM functionality, account abstraction, AI-driven market and dispute resolution, and cross-chain compatibility, Rain aims to broaden the range of use cases and participants in the category.

CEO Roy Shaham said the SDK was designed specifically with OpenClaw and AI agents in mind, arguing that recent advances in AI are shifting from systems that merely answer questions to agents that can perform work, including launching functional market platforms. As prediction markets gain mainstream attention and valuations for leading players climb, Rain’s strategy is to capture incremental market share by lowering the technical and financial barriers for new platforms and niche applications, positioning the protocol as a foundational layer for the next wave of AI-native prediction markets.

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