Neural Dashboard

Manage your AI agents and neural networks

The NeuroCP Neural Dashboard gives you full control over your decentralized AI systems. It serves as the command center for managing your Neural Credits, deploying custom agents, and tracking their performance in real time. Whether you’re running a single AI or coordinating a whole network of agents, the dashboard offers the transparency and flexibility needed to operate in a trustless and verifiable environment.

You can select from a variety of pre-built agents or design your own using your unique logic and data. Each agent is context-aware, independently verifiable, and tailored to meet your specific needs.

Available Agent Types

The dashboard comes with ready-to-use agents for essential workflows. Each agent can be customized or expanded, and you can create new ones using the NeuroCP SDK.

On-Chain Analyst	Monitors smart contracts, tracks on-chain events, and provides blockchain analytics.
Data Analyst Pro	Performs complex data analysis, pattern detection, and large-scale reporting.
Content Creator Pro	Generates long-form content, campaign ideas, and brand messaging.
Code Assistant	Helps write, debug, and optimize code across multiple stacks and languages.
Security Auditor	Scans applications or smart contracts for vulnerabilities and compliance risks.
Realtime Sentinel	Monitors live data streams for anomalies, alerts, and rule violations.

Build From Scratch with Total Flexibility

NeuroCP lets you create agents entirely from the ground up using your own datasets, goals, and logic flows. This gives you full freedom to design AI systems that match your specific domain, business rules, or research needs. By defining how your agent thinks, what it knows, and how it behaves, you can build highly specialized systems that are decentralized, context-aware, and verifiable by design.

Getting Started with Your AI Agents

Launching your first agent is quick and flexible. The NeuroCP Dashboard walks you through a simple setup and activation flow:

Step 1: Select or Create an Agent

Start by picking a built-in agent template or use the NeuroCP SDK to build a custom agent for your specific use case.

Step 2: Set Intent and Context

Define what your agent is meant to do and provide the context it needs—this can include datasets, behavior rules, permissions, or model settings.

Step 3: Deploy and Interact

Put the agent into action. You can track its real-time inputs, decisions, and verifiable outputs right through the dashboard.

Step 4: Monitor and Improve

Watch key performance metrics, adjust instructions, or update context anytime. The dashboard also supports snapshots and version control for easy iteration.