See. Predict.
Engage.
BlockSight's behavioral intelligence engine sees your users and predicts what they'll do next. Engagent acts on it — autonomously retaining at-risk users, recommending purchases, and coordinating incentives. The AI agent that turns insight into action.
See. Capture. Act. Repeat.
Facebook built engagement graphs. Amazon built recommendation engines. Netflix built retention systems. In Web2, that's three companies with three data silos. BlockSight unifies all three on-chain — and Engagent closes the loop by acting on the intelligence autonomously.
Behavioral Intelligence
The engine profiles every wallet — engagement patterns, churn risk, cross-protocol behavior. 95% predictive accuracy across 120M+ wallets.
Commerce Data
The payments widget captures purchase behavior in real time. Every transaction feeds the model. Every checkout becomes a data point.
Engagent
The AI agent acts on predictions — triggering retention workflows, surfacing recommendations, adjusting incentives. Protocols don't hire a growth team. They plug in Engagent.
Three products. One behavioral engine. Full-stack intelligence.
BlockSight sees. The payments widget captures. Engagent acts. Each product feeds the next. Accuracy compounds with every interaction.
Behavioral Risk Profiling
Predictive churn modeling, behavioral profiling, on-chain credit scoring. The inference engine that understands who your users are and what they'll do next.
Commerce Widget & Purchase Intelligence
Multi-chain checkout that captures purchase behavior and feeds it back into the prediction engine. Every payment becomes a signal.
AI-Powered User Engagement Agent
The action layer. Engagent uses BlockSight's predictions to autonomously engage users — retaining the at-risk, converting the interested, and rewarding the loyal.
NASA-Heritage AI Applied to On-Chain Behavior
Our Chief Scientist Dr. Petrus C. Martens spent 30+ years building predictive ML systems for NASA's Artemis program. The same longitudinal modeling techniques now power wallet behavior prediction.
Behavior & Commerce Data Infrastructure
Continuous ingestion from on-chain engagement activity and payment widget checkouts. Normalized into a unified behavioral schema across 6+ chains.
Multi-Task Prediction Engine
Shared behavioral encoder branching into two prediction heads — churn (LSTM + GNN + XGBoost, 0.89 AUC-ROC) and purchase (collaborative filtering + sequence model). Multi-task learning where each product improves the other.
Engagent — Autonomous Engagement Layer
Predictions flow into Engagent's decision engine. The AI agent evaluates risk scores, purchase probabilities, and behavioral segments — then autonomously triggers the right engagement action for each wallet.
Infrastructure for institutional participants
Credit Infrastructure
On-chain credit scoring and borrower evaluation beyond simple collateral ratios. Behavioral underwriting for lending protocols and RWA platforms.
Commerce Intelligence
Next-purchase prediction, buyer segmentation, and revenue forecasting for token-gated storefronts and decentralized marketplaces.
Incentive Coordination
Dynamic reward allocation for airdrops and liquidity mining based on behavioral contribution quality — not volume, not sybils. Powered by Engagent.
Institutional Crypto
Counterparty assessment, yield product targeting, and compliance-enhanced analytics for institutional DeFi participants.
Retention Infrastructure
Predictive attrition modeling with automated retention workflows. Engagent detects disengagement and acts — weeks before users become permanent churn.
Agentic Commerce
Reputation and service discovery layers for autonomous AI agent coordination. Behavioral intelligence powering the agent economy.
Others analyze. We act.
Analytics tools show you what happened. Payment processors move tokens. Only BlockSight + Engagent predicts what's next and acts on it autonomously.
Behavioral profiling
Predictive churn modeling
Purchase prediction
On-chain credit scoring
Multi-chain payments
Autonomous engagement
Composable prediction API
Closed-loop data flywheel
Competitive comparison matrix
| Capability | Dune / Nansen | Kaito | Moonpay / Crossmint | BlockSight + Engagent |
|---|---|---|---|---|
| Behavioral profiling | Basic labels | Attention metrics | — | Deep behavioral embeddings |
| Predictive churn modeling | — | — | — | 95% accuracy, 0.89 AUC-ROC |
| Purchase prediction | — | — | — | ✓ |
| On-chain credit scoring | — | — | — | ✓ |
| Multi-chain payments | — | — | ✓ | ✓ (with intelligence) |
| Autonomous engagement | — | — | — | ✓ Engagent |
| Composable prediction API | — | Partial | — | ✓ Full |
| Closed-loop data flywheel | — | — | — | ✓ |
Competitive comparison matrix
Execution to date
Behavioral + payment infrastructure built
Multi-chain ingestion and payment processing operational. Models trained across 6+ EVM chains.
Private beta — analytics + payments live
Both products deployed to partners. 95% accuracy validated. Payments widget live in KarratShop. 2,000+ waitlist.
Public launch — full platform + Engagent beta
Intelligence and payments open. Engagent enters private beta with select protocols. Composable API live.
Engagent public launch & enterprise tier
Engagent open to all. White-label engagement infrastructure. Institutional analytics. Custom model deployments.
Cross-chain expansion & agent APIs
Non-EVM support. Portable behavioral profiles. Engagent agent-to-agent coordination APIs.
Operators and researchers
Domain expertise across blockchain commerce, machine learning, and venture-scale product building.
Stefano Vercesi
10 years in software engineering. Multiple bootstrapped products. Three years deep in blockchain development, smart contract architecture, and on-chain payment systems.
Devon Martens
Architected AI-driven trading engines managing $50M+ in liquidity. Led Studio Chain, a Layer 2 for adaptive game economies. Unites blockchain commerce, ML, and decentralized reasoning.
Dr. Petrus C. Martens
30+ years of NASA- and NSF-funded research in machine learning, predictive modeling, and large-scale data infrastructure. Professor at Georgia State University.
AI-powered engagement infrastructure for on-chain economies.
Whether you're a protocol exploring AI-driven retention, a marketplace integrating predictive commerce, or an institution building on behavioral infrastructure — we'd like to hear from you.