The world’s economy is moving onchain. 24/7 markets are not a faraway fantasy. Nights and weekends are no longer protected by the excuse of global banking hours.

The information needed to evaluate a stablecoin, trace a wallet, assess a vault, or investigate a protocol is scattered across contracts, transactions, liquidity pools, governance systems, market activity, sanctions lists, exploit histories, and dozens of other sources. Finding the data is only the beginning. Someone still has to interpret it, connect it, and decide what truly matters.

Today, we are introducing DD AI, an onchain analyst you can hire on-demand. We also introduce the fully agentic-compatible Webacy risk intelligence platform, ready to plug into any workflow, any AI agent, and any infrastructure. 

DD AI gives anyone direct access to Webacy’s risk intelligence through a conversational interface. Ask a question as naturally as you would ask a colleague. DD AI investigates using Webacy’s data, analyzes the relevant risks, and returns an answer built for action.

Understand what an asset is, where its risks come from, how conditions have changed, and what deserves a closer look. No more stitching together five different tools before you can form an opinion.

You ask and DD investigates with the best risk intelligence for digital assets.

Specialized risk intelligence

The chat interface is new, but the intelligence behind it is not.

Since 2021, Webacy has helped institutions, financial platforms, developers, and digital asset businesses understand and manage risk across the onchain economy. Our systems continuously analyze smart contract architecture, governance, liquidity, oracle design, market behavior, onchain activity, counterparties, and other signals across wallets, transactions, tokens, stablecoins, vaults, protocols, and tokenized assets. 

DD AI puts that intelligence to work.

A useful onchain analyst needs more than a general-purpose language model. It needs access to purpose-built risk data. It needs to understand relationships across the stack. It needs to distinguish a suspicious signal from an actual threat, explain why a risk score changed, and follow the evidence behind an exposure.

DD AI is grounded in Webacy’s live risk intelligence, including:

• Asset and protocol ratings that update as conditions change
• Wallet and counterparty risk signals
• Transaction analysis and fund-flow tracing
• Smart contract architecture and vulnerability intelligence
• Stablecoin, vault, and tokenized-asset analysis
• Liquidity, governance, oracle, and market-structure signals
• Sanctions, exploit, hacker, drainer, and other security intelligence
• Historical risk progression and emerging-risk monitoring

Instead of simply summarizing what is already on the internet, DD AI can reason across Webacy’s proprietary intelligence and the underlying onchain evidence.

Ask the questions that normally take hours

DD AI is built for the questions people actually face when money is about to move:

• Is this stablecoin becoming riskier?
• What changed in this vault’s rating?
• Where did the funds in this wallet come from?
• Does this protocol rely on a fragile oracle or governance structure?
• What are the largest risks across this portfolio?
• Should this transaction be allowed, blocked, or escalated for review?
• What should our team investigate before listing or integrating this asset?

The result is not another generic chatbot with a crypto vocabulary. It is an interface to an onchain risk intelligence system designed to make complex analysis faster to access, easier to understand, and simpler to put into practice.

Built for people, businesses, and agents

DD is built for agents.

People can work with DD AI directly through chat. Teams can embed Webacy intelligence into products and workflows through our APIs. AI agents can access the same capabilities through Webacy’s MCP server, compatible with common Claude, Codex, and ChatGPT workflows.

Our x402 support is also live, allowing agents to discover, access, and pay for Webacy intelligence directly. An agent can request the risk analysis it needs at the moment of decision without requiring a human to open an account, navigate a dashboard, or manually provision every interaction.

This creates a common intelligence layer across human and machine workflows:

• An analyst can investigate an asset through conversation.
• A financial platform can call the same intelligence through an API.
• An AI agent can evaluate a transaction through MCP.
• An autonomous workflow can pay for the analysis through x402.

Different interfaces with the same, consistent risk intelligence underneath.

An agent harness for onchain finance

Agents are beginning to research assets, manage treasuries, execute payments, interact with protocols, and make decisions that carry real financial consequences. Giving an agent a wallet is easy, but giving it judgment is much harder.

Webacy provides an onchain risk intelligence harness for agent activity.

Before an agent signs, sends, swaps, deposits, lists, or recommends, it can use Webacy to evaluate the asset, contract, transaction, and counterparty involved. Teams can translate that intelligence into their own policies: allow low-risk activity, deny known threats, or escalate uncertain decisions to a person.

The goal is to give agents the context and constraints to act with confidence.

As financial workflows become more autonomous, risk intelligence cannot remain a static report that someone reads after the fact. It has to be available inside the decision loop, before money moves.

One intelligence layer, many ways to work

DD AI is part of a broader agentic toolkit built on Webacy’s onchain risk infrastructure:

• DD AI: A conversational onchain analyst with access to Webacy intelligence
• MCP: Direct access for agent workflows using Claude, Codex, ChatGPT, and other MCP-compatible tools
• x402: Agent-native payments for on-demand intelligence
• APIs and webhooks: Risk infrastructure for products, platforms, and automated systems
• Monitoring: Continuous intelligence for assets, protocols, wallets, and portfolios as conditions change

Together, these tools make Webacy’s intelligence available wherever a decision is being made, whether the decision-maker is a person, a business system, or an autonomous agent.

Onchain, economic judgments at machine speed

Stablecoins are moving money across borders. Tokenized assets are bringing financial products onchain. Consumers are trading, betting, borrowing, and participating in markets that never close. Businesses and AI agents are beginning to transact directly with one another.

Every one of those activities depends on a deceptively simple question: Can I interact with confidence?

DD AI makes it easier to answer.

This launch is the beginning of a larger push. In the coming weeks, we will share customer workflows, partner integrations, case studies, and deeper examples of how teams are using our agentic tools and risk intelligence in practice.

The onchain economy is becoming more automated. The risk layer needs to be ready for that future.

Meet DD AI.

About Webacy

Webacy is the risk intelligence layer for onchain finance. We have helped financial institutions, digital asset businesses, developers, and AI agents evaluate risk across wallets, transactions, smart contracts, stablecoins, vaults, protocols, and tokenized assets. Through real-time ratings, monitoring, APIs, and agentic tools, Webacy enables people and machines to participate in the onchain economy with confidence.