Whether you claim you're bullish on $SOL or $LINK, Intuition transforms on-chain conviction into measurable, tradable, and monetizable identity.
Every two weeks, a new leaderboard introduces a curated set of claims that users can stake on.
Each position reflects an on-chain opinion that contributes to a decentralized knowledge graph that continuously maps reputation, sentiment, and belief across the internet.
As that graph grows, it becomes a programmable truth layer. One that AI agents can query to understand what you value, what you avoid, and what aligns with your preferences.
Instead of centralized algorithms deciding what to surface, agents can discover products, content, and opportunities that reflect your actual convictions.
When users stake a claim, the value of early conviction also compounds as community signals strengthen.
The internet’s next trust layer will be decentralized and powered by $TRUST .
OpenAI is racing to solve an infrastructure problem 👀
Agents on $VIRTUAL and most large language models (LLMs) share the same structural constraints, and $TRUST already built the foundation to address them.
1. Most LLMs hallucinate information that sounds convincing but lacks verification. 2. They operate without persistent memory, forcing conversations to restart without learned context. 3. They cannot truly recall training data to provide grounded answers, only generate statistically probable ones.
These are not model limitations. They are data structure limitations.
Knowledge graphs solve this by creating a traversable web of verifiable relationships, allowing systems to return grounded answers instead of probabilistic guesses.
The shift is already happening. OpenAI recently published a cookbook outlining how temporal AI agents can be built using knowledge graphs, and ecosystems across AI are moving in the same direction.
Yet most implementations remain closed data silos, where verification is private and infrastructure is centralized.
Intuition takes it further by building a public, decentralized knowledge graph where data is open, attestations are transparent, and truth is anchored in community consensus rather than corporate custody.
The agentic future requires verifiable memory, structured reputation, and open infrastructure.
As agent activity expands across $SOL and $WLD incentivizes verified human participation, AI is evolving beyond automated execution and developing emotional reasoning.
If AI agents continue to engage with real humans, understanding emotional context becomes critical to meaningful interaction.
Through a partnership with Kaiko Labs, Intuition solves this by updating its registry of agents with emotional intelligence to understand tone, sentiment and intent.
Interpreting nuance becomes seamless and natural, while remaining anchored in verifiable truth and persistent memory.
$TRUST is building the future of trustworthy and emotionally aware AI.
$XRP facilitates global value transfer. $LIT enables verifiable on-chain systems.
Yet identity verification still depends on centralized authorities, vague scoring systems, and custodial data silos.
Intuition establishes a decentralized reputation layer where historical behavior and claims are cryptographically signed, timestamped, and publicly accessible.
This is decentralized identity, grounded in open, auditable trust.
When reputation is portable and backed by verifiable information, single-point validation like KYC is no longer required.
This is the future of decentralized identity. Intuition is building it.
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.