DappLooker AI

The AI Agents revolution has begun — but it’s starving for data. We’re fixing that. We Present to You: DappLooker AI – The Data Marketplace for Decentralized AI Agents Request access: dapplooker.ai 🧵

@Kalshi Wherever the winners emerge, decentralized agents will execute onchain. We provide the agent-native intelligence layer for speed and confidence across chains.

JUST IN: Elon Musk says the AI winners will be: • Google in the West • China on Earth • SpaceX in space

We’ve been grinding in the background so your AI agents don’t have to guess anymore. Now the question is… What’s the one onchain problem your agents keep failing at that @dapplooker could fix in one API call? (We’re reading every reply)

@Aurex_core Raw onchain data is brutal, no wonder agents are lost. At DappLooker we fix exactly that with agent-native APIs delivering reliable real-time market, onchain & wallet intelligence in one place.

@dapplooker Yeah, on-chain data is all over the place—honestly, a lot of agents are pretty lost.

Everyone’s shipping AI agents that trade, yield farm, and snipe autonomously. But 90% fail at step 1 - onchain data is fragmented, unreliable, and full of latency. Stitching data, parse errors, and inconsistent inputs are killing execution (hello $441k wipeouts). @dapplooker fixes this: A unified, real-time intelligence layer agents actually trust. The rails the agent economy needs. dapplooker(.)ai

“Follow smart money” sounds good until you realize most wallets are just noise. What actually works: • Consistency over one-off wins • Size + conviction, not just direction • Context from structure and funding Raw wallet tracking = fragmented signals Structured intelligence = execution edge @dapplooker turns noisy flows into machine-readable intelligence: • Real-time smart money streams • Conviction-weighted signals • Agent-ready data pipelinesDon’t just copy wallets. Build systems that understand them. What’s the biggest mistake you’ve made tracking wallets?

POV: you realizing @dapplooker ai does in 5 seconds what took you all week

Spot on review by @0xasrequired 🔥 @HyprEarn is what happens when execution meets real-time intelligence. Powered by DappLooker AI: • 15-min structured trade theses • Full execution params • Custody-first vaults Emotion removed. Structure enforced.

As AI agents start coordinating capital, data and execution: The bottleneck won’t be access. It will be decision-quality + speed. That’s where DappLooker sits. If you’re building or investing in agent infra, this is a layer worth understanding early.

AI agents can access crypto rails. But they still break at the same layer: → fragmented data → slow, human-formatted dashboards → no clean path to execution Agents don’t need more charts. They need real-time, machine-readable intelligence they can act on.

At @dapplooker we started a simple initiative this month - Employee of the Month. Not to reward busyness. But to recognise something that actually moves companies forward: ownership. The people who step up without being asked. The ones who solve problems instead of just escalating them. The ones who take something from idea all the way to execution and stay consistent even when things get difficult. When a team sees that kind of ownership being recognised, it starts to compound. Standards slowly rise. People push a little harder. Execution gets sharper. Small rituals like this quietly shape culture.

Only 6% of leaders say they fully trust AI agents with critical business decisions. Yet adoption keeps accelerating. Agents are already trading, negotiating and controlling resources. So the problem isn’t intelligence. It’s trust. Humans solved this problem with: banks contracts reputation systems Systems that let strangers coordinate safely at scale. Agents will need the same foundations. That’s why new infrastructure is emerging. Projects like Virtuals Protocol are experimenting with giving agents persistent identities, asset ownership and even tokenised co-ownership. Standards like ERC-8183 aim to enable trustless commerce between agents; using onchain escrow, programmable workflows and reputation signals. Without trust infrastructure, autonomy doesn’t scale. With it, the agent economy actually works.

Using the vaults for the last couple of weeks and the experience has been smooth. - 120+ automated trades in 2 weeks across @HyperliquidX, @nadoHQ, @paradex, @avantisfi - Holding a steady ~20% APR so far - My favorite: the HIP-3 @hyperliquid vault, performs especially well in stable market conditions Perp trading feels a lot simpler, rewarding when execution is automated. app.hyprearn.com/vaults?ref=EAR…

@abhayait @claudeai Proud of our BD team for building that funding rate arbitrage app in just 6 hours with Claude Pro!! 🔥

Adversity often creates the best innovation. Our tech team was fully occupied with critical work. At the same time, the BD team urgently needed an app to close an ecosystem partnership. Instead of pulling engineers away, I told them one thing: Figure it out. Here is what they did: • Got access to Claude Pro • Clearly documented the requirements • Worked with our product lead • Started vibe coding the app 6 hours later, the app was live. It will be public soon. The first version even lets users earn up to 27% yield on crypto assets. This is the real shift AI is enabling: • Small teams shipping faster • Non engineers building real products • Constraints turning into innovation Sometimes the best thing a founder can do is not add more resources, but create the right environment to solve the problem.

Binance dropping a “Binance-grade brain” for every AI agent this week is the clearest signal yet. Everyone is racing to ship cognition: real-time market data, execution primitives, risk rails, token audits. The intelligence layer is getting commoditised fast. But as we push agents into production (50M+ queries later at @dapplooker, powering 17k+ agents) the same wall keeps appearing. A hyper-capable agent can spot alpha, size positions and execute 24/7… yet gets rate-limited, firewalled or compliance-blocked because nothing can cryptographically prove who it is, what scoped permissions it carries or who is liable when it slips. a16z called the shift exactly: the bottleneck has moved from intelligence to identity. Non-human identities already outnumber human employees 96-to-1 in financial services and they’re still unbanked ghosts. No credit, no enforceable constraints, no portable trust layer. Machine identities drive ~68% of security incidents today and autonomous agents will multiply that surface by orders of magnitude. What we actually need is production-grade KYA: Know Your Agent. Cryptographically signed credentials that bind the agent to its principal (human or org), embed dynamic permissions, attestations, spending caps and liability pointers. DIDs + VCs, zero-knowledge claims, onchain agent passports (ERC-style), programmable guardians. The exact primitives that turn “block at every boundary” into “trust and transact at machine speed.” Blockchain was built for this moment: immutable audit trails, cross-protocol resolution, native micropayments and coordination primitives that actually compound. The brain race is real and necessary. But the team that ships verifiable agent identity at scale isn’t adding a feature. They’re laying the passport infrastructure for the entire machine economy. Everything downstream (autonomous DeFi, agent-to-agent commerce, onchain reputation and multi-agent orchestration) depends on it. Intelligence gets you in the game. Trust and verifiable identity let you stay and scale. We’re building the first half at @dapplooker. The second half is the next trillion-dollar primitive. Who’s solving it?

Crypto provides the financial rails for AI agents. The missing layer is real-time intelligence that agents can actually execute on. That’s what @dapplooker is building: • 17k+ agents live • 50M+ agent queries • $20M+ autonomous perp volume • verifiable onchain revenue Agent economies need rails + brains. Crypto provides the rails. We're building (and shipping) the brains. Building autonomous agents? What's your biggest data/perception pain point right now?

Announcement: Perps just leveled up. @HyprEarn 🤝 @avantisfi You can now execute Avantis trades directly from HyprEarn’s one-click interface. A full execution layer integration. That means: • Zero-fee perps • Up to 500x leverage • Crypto + RWAs • Auto-sized positions • TP/SL placed instantly • Fixed risk from entry Avantis built one of the fastest-growing perp DEXs on @base with an open SDK designed for integrations. We built the execution layer that removes cognitive load. One-click. Protected from the start.