NEAR Protocol AI Scoring Agent

Continuously analyze wallet activity, transaction history, and protocol interactions to generate dynamic, up-to-the-minute risk and trust scores directly on the NEAR blockchain.

Deploy tailored AI/ML models that evaluate specific behaviors—from DeFi collateral health to NFT trading patterns—aligned with your protocol's unique risk parameters.

Our scoring logic is deployed as highly efficient NEAR smart contracts, minimizing gas costs for your users while maintaining sub-second finality for score updates.

All scoring models and contract logic undergo rigorous security audits. We implement privacy-preserving techniques to ensure compliant data handling for regulated use cases.

Leverage our indexed data lake of NEAR chain activity for historical analysis and model training, ensuring your scoring remains accurate as network usage grows.

Integrate on-chain reputation scoring to personalize user onboarding, reduce friction, and increase lifetime value. Our agent provides real-time, verifiable user profiles.

Deploy AI-driven transaction screening and wallet behavior analysis to mitigate fraud, enforce compliance policies, and protect your treasury without manual oversight.

Leverage predictive scoring for dynamic fee models, incentive distribution, and governance weightings to improve token utility and protocol sustainability.

Go live with a production-ready, audited AI Scoring Agent in weeks, not months. We handle the complex ML pipeline and NEAR integration.

Maintain full control over your scoring logic and user data. Our agent runs on your infrastructure, avoiding vendor lock-in and ensuring data privacy.

We analyze your dApp's data flows and user journeys to design an optimal scoring agent architecture. This includes defining on-chain/off-chain components, data sources, and integration points for maximum efficiency.

Development of secure, gas-optimized smart contracts on NEAR using Rust. Includes core scoring logic, permission management, and oracle integration patterns, all built with OpenZeppelin standards.

Integration of your custom or pre-trained ML models with the NEAR blockchain. We handle model serving, inference optimization, and secure result attestation to ensure accurate, verifiable scoring.

Comprehensive security review including unit/integration testing, economic modeling, and a formal audit by third-party experts. We ensure your scoring logic is robust against manipulation and exploits.

Managed deployment of all components to NEAR Mainnet with zero downtime. Includes configuration of RPC endpoints, indexers, monitoring dashboards, and failover procedures.