【Cookie DAO 🍪】Data Base for AI Agent Market Building API and Index Site / @cookiedotfun

We are building an index site for the entire AI agent token.

Good morning.
Mitsui from web3 researcher.

Today we researched "Cookie DAO".

This is a project in the AI agent area for two days in a row since we have started a series of web3 x AI agent projects.From the following week onward, we will update about one per week, and on the other days, we will explain other web3's hot projects and topics as usual.

🍪What is Cookie DAO?
📇Build other products such as index sites for the entire AI agent
💧$COOKIE token economics
💬Is the explosion a trading bot?

🍪What is Cookie DAO?

The "Cookie DAO" builds a modular data layer for AI agents and Swarm.

Swarm is a framework for multi-agent orchestration, originally published by OpenAI on October 12, 2024.This framework is designed to allow AI agents to collaborate with each other and autonomously proceed with complex tasks.The word Swarm itself has come to be used to refer to a multi-agent orchestration that combines AI agents.

Thus, Cookie DAO is a layer that provides data for a single AI agent or a combination of multiple AI agents (Swarm).

The data to be collected is not only on-chain information, but also off-chain social data.We collect those data and provide them as an API for AI to use.

As for the features, the following data will be provided by the API

• Extensive mindshare indicators with predictive signals.

• Real-time narrative tracking and trend detection.

• Advanced top CT accounts impact mapping and tracking.

• Analysis of price and social correlations.

• Visualization and analysis of network effects.

• Real-time Websocket data feeds.

• Historical pattern analysis with AI insights.

The use cases mentioned with these are as follows

Trading Proxy Agents

• Processes social signals prior to price changes.

• Tracks real-time mindshare indicators.

• Monitors whale attention patterns.

• Detects narrative-driven momentum.

Community Agents

• Track engagement patterns.

• Monitor community health indicators.

• Identify key community members.

• Analyze content performance.

Research Agents