Hivemind is the foundation for agentic Web3 discovery, transforming chaos into crystal-clear insights. It enriches DappRadar with curated information, while providing context to make sense of the numbers. As the Intelligence Layer for Web3, any developer can build on top of Hivemind. Let’s step into this new era of Web3 discovery.
Hivemind isn’t only an AI system collecting insights, but it’s a learning and evolving agentic infrastructure. From the ground up it has been designed to scale across interfaces and platforms, while serving evolving and everchanging use cases.
Hivemind collects and curates information, the agentic swarm connects dots and fact checks itself, resulting in pure knowledge for the end user. However, how you consume that information is all up to you.
From noise to context
Within Hivemind there are multiple agent swarms, which each consist of multiple AI agents. Through these agents Hivemind ingests various types of data from across Web3, ranging from onchain data to community sentiment and technical documents. The types of data sources change per project, while we can add extra agents for new types of information sources in the future.
All this information is continuously synthesized and delivered in real-time. Instead of providing raw data, Hivemind presents its data with contextual understanding, creating easy to understand information for the end user. The agentic swarm acquires gigabytes of noise, and filters that into useful, actionable information with context.
The following are potential data and information sources for the Hivemind agents:
- Onchain data – Powered by DappRadar industry-leading data sets, Hivemind can tap into onchain data, including transactions, unique active wallets, and token flows.
- Social intelligence – Agents of the agentic swarm can track all kinds of social media activity, tracking conversations on X, Discord and Telegram.
- Technical documents – Whitepapers, official websites and Github can provide technical information about a blockchain project, providing the Hivemind with core knowledge.
- Governance forums – Depending on the project, lots of discussions may happen on governance forums. These become vital for Hivemind to understand the community.
- Community sentiment – By combining onchain and social activity, Hivemind can provide insights based on community feedback.
- Market signals – Tapping into onchain data and social sentiment, Hivemind may uncover a new trend taking place within a community or ecosystem.
Hivemind combines onchain data from DappRadar with off-chain intelligence from social media, community discussions and official communications to create deeper understanding about a project. It’s capable of converting data and information into an easily readable analysis. Hivemind doesn’t only say what’s happening, but also explains why it matters and what it means for users. Moreover, it can do all this in real-time, allowing users to identify emerging trends and market opportunities as they develop.
For DappRadar, this means that the project pages become much more organic. The content on these pages changes over time, highlighting trends and community sentiment. Instead we can now talk about smart data profiles, providing both the data and the story and context behind the numbers.
Where to access Hivemind
We’re launching Hivemind through a couple of access points:
Hivemind on DappRadar
DappRadar will offer multiple interfaces to engage with Hivemind. Access to Hivemind will expand over time:
- Hivemind Chat – A chat interface where users can have conversations to get access to knowledge on a project level, i.e. a dapp or a chain.
- Ecosystem highlights – On a supported project page, Hivemind automatically curates and generates news, updates and other alpha.
- Project FAQ – Hivemind generates an extensive FAQ based on whitepaper information, trending news and live community activity.
- Sentiment analysis – Hivemind does a vibe check across social media platforms to measure, analyze and understand community sentiment.
X Agent
Hivemind consists of AI Agent Swarms, and these swarms can have an X agent. While Hivemind collects data from social media platforms such as X, it can also post updates autonomously on its own X account. Hivemind on X becomes a public beacon of information, and a powerful resource for every community. These X agents have a couple of powerful features:
- Posts autonomously – Agents can post information on X without human intervention.
- Reacts to questions – The community can tag the agent and ask a question, and the agent will reply with an answer.
- Pre-configured signals – Based on pre-configured alerts, such as a surge in onchain activity, the agent can post content.
- Sentiment – Agents can interpret community sentiment, and understand when a shift is taking place.
Enterprise (Coming soon)
Tailored for companies, development teams and DAO operators, Hivemind can be integrated into Discord, Telegram and Slack. This allows teams to utilize Hivemind as an automated community manager that reports on community sentiment and shares other types of signals, information and insights.
API and MCP integration
While Hivemind is built using the ElizaOS framework, and tapping heavily into the data sets from DappRadar, other developers and builders can utilize the capabilities of Hivemind. Projects can directly tap into Hivemind’s backend to power their own dashboards, chatbots, alerts of other types of interfaces. DappRadar has an API available to get access to data, while the DappRadar MCP has the capacity to add understanding and logic to the data.
Endless possibilities: Hivemind as an Intelligence Layer
The interfaces described above are just a sample of the endless possibilities Hivemind has to offer. We’re excited as to what the community will build on top of Hivemind. The value sits in the curated knowledge and contextual intelligence Hivemind provides, taken from different blockchains, platforms and social media used across Web3.
Hivemind functions as an Intelligence Layer on top of the entire blockchain industry. Thanks to its interface-agnostic positioning, any development team can create entirely new ways to use this knowledge. Imagine,
- In-game NPCs that know everything about onchain events and the trading market
- In-app newsfeeds that share the most relevant news about a project or ecosystem
- Internal knowledge dashboards for DAOs or VC teams
- Agent-to-Agent communication across ecosystems, connecting with other agents
- Voice assistants that now get access to live dapp, token or governance info
Hivemind can curate and analyze to provide context. However, what future interfaces look like is up to your imagination. No matter the interface you envision, Hivemind is the foundation that serves as the undisputed source for agentic Web3 discovery.
Closing words
Hivemind redefines Web3 exploration, turning raw data into an Intelligence Layer for all. From dapp insights to community sentiment, it empowers users, developers, and DAOs alike. Whether through DappRadar’s interfaces, X agents, or future integrations, Hivemind’s potential is limitless. Build, explore, and innovate with its contextual intelligence.
