While $SUI and $TON are advancing fast, low-cost, and composable systems, Intuition is upgrading AI agents.
As digital identity becomes portable, AI systems no longer need to rely on generic datasets or platform-owned profiles.
Intuition structures identity, preferences, and historical behavior within a decentralized knowledge graph that users control and AI can learn from.
Agents train on verified, user-owned data and adapt to individual context, creating personalized experiences for each user that persists across ecosystems.
Intuition is building a new standard where AI aligns with the individual, not the platform.
$TAO's public record of performance metrics, and $HYPE's on-chain order book are signals that markets want greater transparency.
Yet centralized systems still determine which information is surfaced, ranked, or suppressed.
Intuition decentralizes and verifies knowledge through open attestations, allowing communities to surface and curate the information that matters to them.
When public data is decentralized, centralized bias becomes visible and gatekeepers lose unilateral control over narratives and consensus.
Even as $VIRTUAL advances autonomous agents and $LINK moves on-chain data securely and accurately, AI security risks continue to rise.
As ecosystems scale, agents will require broader permissions, deeper data access, and expanded authority to act independently.
And without verified identity and accountable reputation, how do we know which agents to trust?
Intuition provides the trust layer that makes agent scalability sustainable.
Partner ecosystems are integrating 100,000s of agents with Intuition's decentralized knowledge graph to ground each one in verifiable truth and portable reputation.
Credible agents become easier to find and data ownership remains in user hands.
This is how autonomous systems remain trustworthy at scale.
$VIRTUAL powers autonomous agents interacting across digital environments. $TAO optimizes how they learn and adapt.
But watching agents communicate on Moltbook misses a deeper reality: there is no shared, verifiable medium governing how agents agree on meaning.
Intuition provides the missing layer.
Powered by a decentralized knowledge graph, Intuition establishes agent-native language that enables consensus on context, identity, and intent.
Without it, reputation remains non-portable, trust fragments and coordination breaks down.
This is a foundational pillar of the agentic stack: a shared knowledge layer where agents can discover, verify, and coordinate through common language and reputation
How $ADA emphasized fundamentals through research-first infra and $LIT built verifiable systems are lessons the first wave of InfoFi projects didn’t follow.
They collapsed because they financialized attention instead of verified information.
Retweets and likes were rewarded and content value was ignored.
Intuition is building what InfoFi was always meant to be: infrastructure that prices the discovery and validation of truly useful information.
Reputable information rises, gets challenged, and rewarded through economic consensus.
A handful of institutions and algorithms decide what you see, what you believe, and what you buy. This includes governments, search engines, and AI agents.
Intuition exists to change that.
🎙️ Clip from our Chinese Community Space This includes discussion in Chinese and English as we grow Intuition globally.
$SUI and now $ETH are both prioritizing agent trust with new standards designed to prevent AI systems from impersonating credibility they haven’t earned.
As AI agents become smarter and gain autonomy, the risk of agents acting without accountability, identity, or consequence grows as well.
Intuition complements this direction by providing the reputation layer agents can’t fake.
Claims, actions, and recommendations are tied to verifiable history and economic accountability, not just credentials or endpoints.
When agents can be inspected, challenged, and penalized for bad behavior, trust becomes enforceable.
The future of AI is more than autonomous. It’s accountable.
Decentralized Money Vs. Decentralized Information 🌐
DeFi is rapidly expanding as ecosystems like $HYPE and $MON scale to meet growing demand.
A truly decentralized internet, however, requires both open financial systems and open informational systems to remove centralized controls.
DeFi removes centralized control over money, while decentralized information ensures narratives, data, and incentives cannot be hijacked by a few gatekeepers.
Intuition brings these principles together, turning facts, claims, and reputations into user‑owned, verifiable, and monetizable assets, creating a decentralized knowledge layer that complements DeFi systems.
Open markets need open knowledge, and Intuition puts the control in user hands.
$LIT powering verifiable order matching, and $SUI demonstrating fast, composable experiences are the kinds of capabilities users now expect from modern systems.
Intuition builds on these expectations with curation markets, giving users direct control over verified information and aligning it with their identity and preferences.
Instead of algorithmic feeds optimized for engagement, users discover voices they trust and then carry that curated context across platforms.
Trusted information becomes a portable internet layer.
In a world overloaded with content, Intuition turns curation into value you can own and monetize.
$VIRTUAL powers autonomous agents and $TAO optimizes how they reason, but intelligence without independent knowledge remains constrained.
Today, most AI agents rely on centralized information sources, inheriting the same narratives, incentives, and distortions shaped by centralized entities.
Intuition’s decentralized knowledge graph gives agents access to verifiable facts, claims, and reputations rooted in collective attestation.
This allows agents to reason beyond centralized defaults, grounding decisions in information users actually trust.
When knowledge is decentralized, intelligence gains agency.
$SUI and $HYPE scale developer activity and signal where builders are paying attention. Intuition is doing the same.
Since launch, Intuition has processed over 4M transactions, reflecting real activity and user demand across the network.
With an accelerator program underway, developers are building on the protocol, creating the next wave of AI agents and dapps powered by decentralized information.
Users are actively creating, verifying, and monetizing the information and identities they own.
Each transaction strengthens a shared knowledge graph where trust compounds over time.