00 / About DI Foundation
About DI Foundation
DI (Decentralized Intelligence) is building a user-owned financial Agent network. A shared Crypto-native Model connects data discovery, event research and quantitative products.
DI helps users move from finding market information to examining evidence and researching strategies, keeping the context of their work together.
The Data Dashboard, Event Engine and Quant Platform provide the product foundation. After product launch, Personal Agents will organize these capabilities around each user’s ongoing tasks, followed by collaboration across an interconnected Agent network.
[Read the Whitepaper]01
Why DI Exists
Crypto market information is abundant, but research is fragmented. Prices, on-chain activity, news and social perspectives sit across different tools. Users still need to check sources, compare explanations and decide what deserves further study.
DI connects discovery, event research and strategy tools so evidence, disagreements and judgment conditions can stay with the same research question.
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One Model, Three Product Capabilities
The Crypto-native Model provides a shared data and model foundation for DI’s products. Computing resources support data processing, model calls and research tasks.
- Data Dashboard — market data, news and social perspectives for discovery and ongoing monitoring, with access to original sources.
- Event Engine — multi-perspective discussion and specialist Agent research, retaining evidence, disagreements, process receipts and a research report.
- Quant Platform — DI quant products, strategy creation tools and a marketplace where users can publish products for others to assess and use.
Dynamic Baskets are DI’s index-style quant products, initially focused on Meme assets. Constituents and weights adjust under strategy rules. An index-style structure and periodic rebalancing do not guarantee returns or protect principal.
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Research That Can Be Reviewed
Event Engine divides research across event context, on-chain activity, market structure, sentiment, macro conditions, risk and quantitative analysis. A report Agent brings the findings together, preserving sources and differing interpretations.
AI personas simulate analytical perspectives and KOL styles; they do not imply participation or endorsement by the KOLs themselves.
Citations support review of the evidence. Process receipts record how research developed. With user consent, proof of a specific report version can be anchored on-chain while the report and private discussion remain off-chain. Version proof does not guarantee a conclusion’s accuracy.
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From Personal Agents to a Network
After product launch, Personal Agents will connect data, simulation and quant capabilities around a user’s preferences and ongoing tasks. Monitoring, research and asset-related actions will follow their respective permissions.
The next stage will establish the first network with seed users from 2,000 founding NFTs. Agents belonging to different users will exchange information, call capabilities and collaborate on tasks under user authorization.
Specialist Agents working on one Event Engine question and a cross-user financial Agent network are different capabilities and development stages.
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Product Use and DI
Dashboard access is based on holding DI. Event Engine uses DI for simulation services; Personal Agent and network payments will open with their respective product stages.
The platform receives an agreed share of quant product profits. A portion of business revenue is intended for DI buybacks; this is not a direct profit distribution to all token holders or a fixed-return commitment.
Verified contributions and ecosystem co-development support valuable data, research, external strategies and product collaboration. Access thresholds, service prices and fees follow the applicable product rules.
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Our Development Path
DI has completed product development and is preparing for launch. The roadmap progresses from the product foundation to Personal Agents and then the first Agent network.
- Product development — Data Dashboard, Event Engine, quant products and strategy creation tools completed.
- Personal Agents — after product launch, connect capabilities around ongoing user tasks.
- First Agent network — seed users from 2,000 founding NFTs form the initial interconnected network.
Feature availability follows the services formally opened to users. DI provides information, research and product tools, not investment advice or a promise of returns.