Tokenized Community Behavior Modeling

Track and predict wallet interactions, token flows, and protocol engagement using historical blockchain data. Identify power users, predict churn, and optimize incentive structures.

Integrate sentiment analysis from Discord, Twitter, and governance forums. Correlate social sentiment with on-chain actions to anticipate voting trends and community sentiment shifts.

Model delegate and voter participation for DAOs and on-chain governance. Predict proposal outcomes and quorum likelihood to improve governance design and execution.

Simulate the impact of staking rewards, vesting schedules, and airdrops on token velocity. Model inflationary/deflationary pressures to stabilize token economics.

Deliver tailored dashboards tracking Health Score, Community Engagement Index, and Governance Participation Rate for real-time decision-making.

Identify at-risk token holders and community members before they exit using ML models trained on historical wallet behavior, transaction patterns, and governance participation. Proactively design retention incentives.

Move beyond simple token holdings. We build a weighted scoring system that quantifies true community value based on governance votes, liquidity provision, content creation, and social referrals.

Design data-driven reward distributions that target high-value behaviors. Our models simulate Sybil resistance and optimize for long-term alignment, not short-term mercenary capital.

Predict voter turnout and proposal outcomes by analyzing delegate relationships, historical voting consistency, and sentiment from forum discussions. Structure proposals for higher success rates.

Monitor large holder wallets for early signals of accumulation, distribution, or delegation shifts. Model the potential market impact of their actions to inform treasury and liquidity strategy.

Receive a complete technical specification and on-chain verifiable proof for every behavior model. Our methodology is transparent, reproducible, and built with privacy-by-design principles.

We connect to your token contracts, governance platforms, and on-chain activity to build a unified data layer. We handle indexing from Ethereum, Solana, and major L2s.

Our data scientists build custom models to segment holders, predict churn, and quantify engagement. Models are trained on historical data and validated for accuracy.

We deploy the analytics engine as a secure, verifiable smart contract and a private React/Next.js dashboard. You get full ownership of the code and data.

Receive weekly community health reports and model retraining. Our team provides technical support for integrating insights into your product workflows.