ZENi

ZENi is a privacy-first behavioral data infrastructure for AI Agents. It processes online + on-chain signals (interaction events, intent indicators, preferences, and wallet actions) into clean, structured, agent-ready intelligence via normalization, labeling, scoring, and verification—usable as ML training data, evaluation/ground truth, RAG/retrieval datasets, and real-time agent decisioning. User participants power the pipeline by completing verified micro-tasks for data collection, annotation/labeling, and validation, producing high-quality supervised labels and human-verified ground truth. This human-in-the-loop layer reduces noise and improves coverage for fine-tuning, benchmarking, and continuous learning, with explicit consent and permissioned sharing. On top of the data layer, ZENi enables agent execution: intelligence triggers workflows and campaigns, with outcomes measured and provable for performance-based delivery.