analytics

AgenticAI.Website

Agentic AI consists of AI agents that mimic human decision-making, to solve problems in real time. In a multiagent system, each AI Agent performs specific tasks, to reach specific goals, as part of a team. Their efforts are coordinated through AI orchestration

Web-3.Network

Web-3.Network is an initiative that helps transition to Web 3 from the familiar Web 2 Internet. Web-3 AI is part of an IBM Partner Programme, and are launching An Agentic AI powered, Web-3 Network. AgenticAI.Website provides category-defining AI infrastructure anchored to industry-defining domains, which are the pillars of the Web-3 Network. The intersection of NFTs and Agentic AI marks a transformative shift.

The Web-3 Network strategy is to move deliberately to autonomous coordination. The goal is a federated network of industry agents that becomes the default interface for both humans and machines.

Analytics Agents Requirement

An operator of Analytics Agents operating across Web2 and Web3 stacks is required. The operator will operate Analytics1.site (Web2) and Analytics.1 Web3 as a dual stack Programme. The spec for the Analysis Dashboard can be seen HERE

“The analytics agents” will become a neutral intelligence layer that sits above tools, vendors, and data silos. The Analytics agents will become the default interpreter of data across the Web-3 Network. The Agents will translate business questions into:

SQL

BI queries

ML workflows

The Agent will normalize data across:

SaaS tools

Data warehouses

On-chain data

Explain results in natural language

Web2/Web3 Analytics Agent Stacks

The Web2 stack (Analytics1.Site) will connect to Google Analytics, Adobe, CRM & ERP systems. The Web2 stack will serve: Analysts, Executives, SMBs

The Web3 stack (Analytics.1)

Native on-chain analytics:

DeFi metrics

DAO performance

Token flows

Verifiable dashboards (proof-of-origin data)

Tokenized access to premium insights

Unique strategic benefit

Prime Generic Domains

Web-3 AI, operators of the Web-3 Network, own (Top Level Domains) for several major countries and sectors that include the Web-3 and AgenticAI TLDs. This means that Generic Top Level Domains can be provided as anchors for the Web-3 Ecosystem. These Domains can double up as branded end points, and as AI Agents.

Web-3 AI can also provide Prime Generic .1 Domains. These Domains can also double up as branded end points, as AI Agents. The .1 TLD is operated by namebase. the Registrar Namecheap, one of the largest providers of Domain Services in the world owns a controlling stake in namebase. Hand shake Domains can easily be accessed using Resolvers such as hns.to. A list of .1 Domains available for use in the Agentic AI Programme, can be seen below.

The Problems Web-3 can help Solve

Every major industry faces the same structural issues:

Fragmented data

Rising operational complexity

Existing AI tools tend to be Centralized.

Increasing machine-to-machine activity

The Solutions

Industries need Interoperable agents. Decentralized Generic, domain-anchored AI agents on Web3 help with generic branding and help solve the problem of interoperability.

Why this is a Winning Strategy

AI Facilitates entry into Web3

Helps avoid steep learning curves

Federation beats siloed platforms

Generic domains act as trust anchors

This is an infrastructure, not a competitor

This helps to avoid heavy upfront AI spend

Interoperability compounds, centralization fragments

DUAL-STACK AGENTIC AI RESELLER PROGRAMME (Sale of Agentic AI Web3 Domain Plus Web 2 Twin)

Prime Agentic AI Web 3 Domains for Different Industries

The Dual-Stack Agentic AI Programme enables Resellers/Operators to own, operate, and monetise industry-specific Agentic AI platforms by combining premium AgenticAI Web2 domains, .1 Handshake Web3 twin domains, that can be used in IBM watsonx Orchestrate–powered agentic execution.

Resellers/Operators acquire scarce digital infrastructure, positioning themselves as providers of infrastructure for AI-driven industry platforms,