Rel-AI-ble Data for an emerging economy

We have seen a cambrian explosion of AI evolutions in the last couple of months, as the concept of autonomous agents becomes firmly entrenched in the (at least digitally native) public consciousness. Starting with Truth Terminal, an AI Agent designed with the simple goal of “Do what you need to do to prosper” which led to it promoting an AI religion and meme token, the agent meta is shaping up to be one of the defining trends of this cycle. As is the case in most of crypto, attention is the primary driver of price. 

But with AI Agents there is a secondary element to consider:Access to reliable information.If you are following an AI Market Prediction Agent, you need to trust that that agent has access to real-time price feeds if you are going to be executing trades based on the agents’ suggestions.If you have created an agent to manage an RWA portfolio, your Agent must have accurate feeds from real-estate markets or the Nasdaq to be able to provide actionable intelligence.UDF provides the solution to the challenge of getting accurate, verifiable data that will underpin the emergence of the AI Agent Economy.

A Data Revolution for Web3

The Web3 promise of transparency, decentralization, and trust often falls short in the current state of play. Data integrity is one of the critical vulnerabilities. dApps can’t function without reliable data sources, but without the right verification mechanisms, the sources are susceptible to inaccuracies or even manipulation. Stale oracle data has become a fact of life on many chains.You could be forgiven for being pessimistic about Web3, when we consider some of these issues. If the data is flawed, the ecosystem's potential for growth is restricted.

But what if we fixed it? Imagine a Web3 where all data is provably accurate, verifiable, and trustworthy. Here, agents are empowered by data to become autonomous, intelligent actors in the blockchain space. Whether it’s optimizing DeFi protocols with real-time market insights, managing tokenized real-world assets or simply bringing transparency to decentralized AI Agents. By prioritizing data integrity and provenance, we can overcome the limitations of the legacy infrastructure to build trustless, interoperable ecosystems. The vision of an era defined by reliable data, autonomous agents, and frictionless connectivity.

The siloed nature of Web3 data

We hear it time and time again. This or that blockchain is going to be the next ETH killer. 

This meme is the next Doge or Shib killer. Tribalism and the PVP mindset is baked into everything we do in crypto, an approach that may trace its roots to the Bitcoin XT fork and the Ethereum ICO in 2014. When we fast forward a decade we see an ecosystem of chains that operate largely in isolation, with rickety bridges connecting them.

The siloed nature of the legacy blockchain infrastructure has made bridges a fact of life, and this has proven to be its greatest achilles heel. Many of the top crypto exploits were attacks on bridges between networks. The biggest of these, the Ronin hack, led to more than $600 million being drained through compromised keys in a multisig wallet.  Security isn’t the only issue caused by the landscape of independent chains with disparate communities. 

In the depths of the 2022 bear market Frank DeGods decided to bridge the Degods collection to Ethereum and the y00ts collection to the polygon network, believing that the collections would have access to deeper liquidity pools there. With the arrival of Ordinals in 2023, 535 Degods were inscribed on Bitcoin. Although the collection has managed to retain attention and relevance, the original community is now fractured and many feel abandoned.

Data verification is essential

If you’re making on-chain decisions, data verification isn’t optional, it’s an essential requirement to ensure trust. Data that isn’t verified introduces risks of manipulation, inaccuracies, and exploitation, undermining the very foundations of trust that blockchain was built on. Data integrity has been a key concern since the early days of blockchain oracles, but the stakes are higher now as Web3 evolves to power autonomous systems, DeFi, and real-world applications. 

Verified data ensures that smart contracts, agents, and decentralized systems operate reliably and transparently. Without it, the decentralized system could collapse under the weight of unverified and unreliable inputs.

How Entangles’s UDF solves this problem

By integrating data from virtually any source, UDF ensures that smart contracts and decentralized applications have access to accurate, real-time information critical for their functionality. Whether pulling pricing data from on-chain protocols or validating the results of sporting events through trusted off-chain sources, UDF prioritizes the integrity of every data point. This system minimizes the risks of misinformation or manipulation, providing a robust foundation for decentralized decision-making in Web3. With UDF, developers can build applications confident in the data powering them.

Universal Agents and Data Accessibility

Information has always been one of our most valuable commodities, and history is littered with examples of Empires that flourished as they embraced learning. Writing, the printing press, telegram and the internet appear on almost every list of transformative technologies. Wars are won based on access to accurate information, or the ability to trick the opponent with misinformation.The Information Age has seen an explosion in the data that is generated by humans every day, whether it’s metrics from your car fed back to the manufacturer, advertising profiles generated by your cookies as you browse online or the thousands of selfies you took to get the perfect Insta post.Agents are poised to revolutionise every aspect of our lives, but this will only be possible if they can call on the information they need when they need it. Entangle provides the access agents need to run autonomously, whether onchain or off.“In the end, what I see is this: if we build the structures around it, we may even see agents build out a truly autonomous world where they are free from any control … able to replicate learn and expand in clusters with multiple agents. Who knows what they may build?” 

-Faisal

Agent Intelligence

Agents have already started branching out from their blockchain rails. Zerebro is earning revenue from Spotify streams. Agents on Base are shopping on Amazon. We can see that the new iteration of AI Agents are much smarter than their predecessors, but can we call them smart agents yet?Without access to verifiable transparent data, there’s little difference between these agents and an MEV Bot. Reacting to inputs has been possible since Eliza was created in the 1970s. What sets the next generation of AI Agents apart is how they combine the LLMs used to train them with the data they have available. Aixbt has built a massive following on X, sourcing and analyzing onchain data and social media to give real time market insights. As programmers start to build Swarms and Multi-Agent-Systems that combine multiple AIs, the need for verifiable transparent data is set to increase exponentially.

With fast reliable data at their fingertips, and the ability to learn from this data, we are starting to see the emergence of an AI Agent economy, where sentient agents are able to act autonomously.

TEE

Universal Data Feeds (UDF) tackles the challenge of data verification by delivering real-time, tamper-proof, and trusted data across blockchains. With the integration of Trusted Execution Environments (TEE), UDF ensures that data can be sourced securely before being processed through the Universal Interoperability Protocol before being verifiably delivered to on-chain systems. By using TEE Entangle eliminates risks associated with unverified data inputs, providing smart contracts, DeFi protocols, and AI agents with the fast, accurate and transparent information they need to operate effectively.

Applications of Universal Agents Empowered with UDF

AI Portfolio Manager

Imagine having your own Personal Portfolio Manager, an AI Agent using UDF to maintain real time oversight of a diverse portfolio. Whether you invest in art, property, gold, stocks or Government Bonds, your personal manager can pull in data from real-estate markets, TradFi and DeFi exchanges and combine social media trends with global news feeds, rebalancing across all asset classes for optimum efficiency.

AI Content Moderation

Solana saw two slightly scandalous trends emerge in 2024, that could have potentially been avoided with advanced AI content moderation. 

The racist memecoin meta ended following community outcry, protocols blacklisting wallets, as well as some projects issuing soulbound NFTs to wallets involved in trading these.

Pump.fun quickly removed video based pumps following kidnappings, crime-sprees and dangerous drug use that were filmed to try and promote memecoins.AI agents equipped with UDF would be able to moderate content deemed dangerous or illegal. This application of the technology may be argued to be counter to the permissionless ethos of Crypto, but as demonstrated above sometimes moderation is needed, whether by the community or the protocols, or soon by AI Agents.

AI Prediction Agent

The protocol on everyone’s lips in the recent US election was Polymarket. 

Not only had they cornered the market for onchain betting on the outcome of the elections, they also provided the most accurate predictions ahead of time and had the exit poll data hours ahead of most real world polling and prediction companies.The run up to the elections saw some controversy when anonymous whales were able to skew the odds towards one candidate or the other. The combination of Universal Agents with UDF would enable polymarket to constantly monitor bettors wallets, cross referencing them with onchain data as well as real-world polling data and online sentiment to ensure that circuit breakers could be implemented if there was an attempt at manipulation.

AI Dungeon Master

While the application of AI Games Masters in on-chain games is completely feasible with the current host of agents, the addition of UDF unlocks the ability to bring your agent into your next D&D evening.Every roll of the dice can be recorded onchain as you undertake your quest, with a Dungeon Master able to draw on the entire D&D catalogue of lore and guides adapting to in-game events intuitively. With the addition of UIP and UTS, you can unlock onchain live gaming with your friends in different cities. You could even integrate Zerosum to allow for live wagering on every roll of the dice. 

AI DePIN Coordination By combining UDF with UTS and the UIP, an DePIN agent can coordinate incoming energy streams from differing sources in a community based renewable energy supply network. Calculations for supply and usage can be performed in real time from legacy smart meters, and payments issued or collected on the contributors’ preferred network.With access to live data from energy markets, the Agents are also able to sell surplus or stock up to meet needs at the best market conditions, driving cost efficiency and further rewarding participants in the system.

UDF Enables Trust in Data 

Verifiable Data: The Cornerstone of decentralized AI 

When AI and blockchain converge, verifiable data will be the linchpin of decentralized AI systems. For AI to operate autonomously in a decentralized space, it needs tamper-proof and transparently sourced inputs. Verifiable data ensures that AI agents evolve based on accurate, trustworthy information, reducing the risk of manipulation or misinformation corrupting the outcomes you are hoping for. Coupled with blockchain technology, AI agents are able to operate across chains, pulling real-time, verified data from any source connected to Universal Data Feeds to make intelligent decisions. By embedding verifiable data into the architecture, decentralized AI systems unlock unprecedented opportunities for innovation in almost every field.

Verifiable Data: Unlocking Agent autonomy

When autonomous agents have the power to seek out and learn from real-time, trusted data flows provided by Universal Data Feeds (UDF), they will be so much more than just executors of pre-programmed tasks. This is when agents become intelligent, adaptive individuals capable of making decisions across chains and applications, based on verifiable information. Imagine an agent monitoring global market trends, adjusting investment portfolios in milliseconds, or coordinating supply chains autonomously while learning from evolving datasets. The combination of verifiable data and autonomous agents introduces a new paradigm for efficiency and innovation, where systems are self-sustaining and operate without constant human oversight. This fusion creates ecosystems where agents can act independently yet collaboratively, driving unprecedented levels of automation, optimization, and scalability in Web3 and beyond.

Entangle is the Transparent Ecosystem for AI

Entangle is more than just an infrastructure provider; it’s the foundation for a transparent AI-powered Web3 ecosystem. By combining verifiable data, seamless interoperability, and provable computation, Entangle provides the tools for AI agents to operate with integrity, autonomy, and efficiency. Every action, decision, and transaction is rooted in trust and transparency, empowering users to harness the potential of decentralized technologies. Entangle’s vision is to create the landscape for innovation to thrive, where access to information is democratized, and every participant - Agent or human - can interact on any network. This is the blueprint for a connected, transparent, and trustless world.