I agree with this! Infofi, perps, AI agents and pms are closely related together,they form a vertical stack rather than a loose set of related narratives each layer consumes the output of the one below it and produces a more structured, capitalised form of the same underlying thing which is priced attention > InfoFi is the raw attention and information layer, this may include: mindshare scores, social signals, data markets, and reputation systems that turn scattered trends and claims into measurable flows > AI agents sit on top of that layer as the processing layer. agents read the InfoFi feeds, cross-reference other data, and convert noisy attention into structured intelligence, probability estimates, theses, or ranked signals. the agent's main role in the stack is not to invent the information; instead it compresses and operationalises what the InfoFi layer has already made visible > Prediction markets are the pricing and commitment layer. they take the intelligence produced by agents (or humans) and force it into a continuous probability. once capital is at risk, the forecast stops being an opinion and becomes a market price that other systems can read. > Perps are the expression and leverage layer. they let that priced forecast be traded with size, direction, and continuous funding rather than binary settlement of prediction markets basically, each layer exists to turn the previous layer’s output into something that can be risked and settled