giza-zkml-visualization

What problem does it solve?

This skill solves the challenge of understanding and monitoring verifiable AI agent activity by translating ZKML proof verification status and model performance into an interpretable visualization.

Core Features & Use Cases

• ZKML Proof Verification Dashboards: Interpret proof history with verified/pending/failed ratios and per-proof status details across proof backends and chains.
• Agent and Model Performance Analytics: Track agent deployment activity and model accuracy, inference latency, and proof generation time through dedicated dashboards.
• Protocol-Wide Visibility: Use aggregated metrics like total agents, proof counts, chain distributions, and multi-trend analytics to evaluate system health at a glance.
• Use Case Example: If your Giza agents are showing rising failed proof statuses, use the proof history and model performance views to pinpoint whether issues concentrate on a specific proof system (Cairo/Noir/RISC0), a specific chain, or a specific model.

Quick Start

Ask an AI assistant to explain the current Giza proof verification health from the SperaxOS dashboards, including how to interpret verified versus failed proof ratios.