Kaia

Apps becoming backends is the most underrated structural shift happening now. Once agents own the execution layer, the interface becomes irrelevant, and the best liquidity/settlement rail wins. The 20% building agent-compatible infra today are writing the rulebook everyone else will follow next cycle.

AI Agents will replace App era I realized that AI Agents are replacing the app as the control layer. After actually testing flows between OKX and Uniswap Labs, I believe that will be trending from now on. The current app economy combines 2 structurally different things: [1] Interfaces that humans operate such as apps, dashboards, flows. [2] Infra that actually executes such as APIs, liquidity, settlement rails. For the past 15 years, these 2 were bundled together. Apps owned both and AI Agents split them apart. Humans stay at the intent layer, Agents take over the execution layer then apps get pushed down to infra. So your apps are becoming the backend. Now AI Agents like OpenClaw are replacing the app-centric model with intent-centric interaction. You express what you want in plain language. The Agent figures out the path. The UI becomes irrelevant because the Agent reads it for you. Look at the data I already saw: - DEX volume crossed $1T+ in Q4 2025. - Yet DEX UX is still objectively worse than CEX UX. This only makes sense if users are willing to tolerate friction to access better execution. Now remove the user from execution then that friction disappears, routing becomes purely efficiency-driven. How I think about this shift? [1] Intent Layer = where control is moving Now, users express outcomes. The winner here is the system that understands intent best. [2] Execution Layer = where value will concentrate Agents decide which DEX, which CEX rail, which chain / route. So the model is now agents routing flow directly, you don’t have to do nothing with it. [3] Infrastructure Layer = what apps become Apps don’t disappear, they become liquidity endpoints, execution services, callable infra. Meaning distribution moves away from UI to API. Quick recommendation of projects leading this trend. - Best overall infra bet: @virtuals_io | $VIRTUAL → ecosystem kingpin. - Best for DeFi automation: @Infinit_Labs | $IN or @HeyAnonai | $ANON → one-goal execution. - Best research/insights agent: @SurfAI . - Best autonomous/social/content agents: @pippinlovesyou | $PIPPIN, @freysa_ai | $FAI. - Best niche/utility: @rei_labs | $REI for infra depth, $CLANKER for token tools. I think we are already in the transition phase but most people are still analyzing it from the app layer. Right now, if I break it down ~80% of current products are still UI-first, maybe ~20% are starting to be agent-compatible. And that 20% will define the next cycle imho. NFA & DYOR

@banditxbt The comparison is fair, but the setup is different, institutions are actually allocated this cycle, not just watching from the sidelines like last time. Some are more involved. Slow grind is possible, but the floor is higher than people think.

I don't think crypto has bottomed expecting a slow grind down for the majority of the year before a bullish q4 reminds me of 2022

@TheDeFinvestor BlackRock staked ETH ETF and S&P 500 perps on Hyperliquid in the same week. The line between tradfi and DeFi is gone.

The latest developments in DeFi👇 BlackRock launched its staked Ethereum ETF Fluid released the Fluid Lite USD Vault automating stablecoin yield strategies Pendle launched limit order incentives offering up to 100% APR S&P Dow Jones launched the first official S&P 500 perps market on Hyperliquid in partnership with trade[XYZ] Tempo, the Stripe-backed blockchain for payments, launched its mainnet Tangent introduced USG - a stablecoin backed by Curve’s LP tokens and Pendle PTs Pump Fun became Solana’s first dApp to generate $1 billion in revenue Aave DAO is voting to cut its annual AAVE buyback budget from $50M to $30M Pareto introduced Pareto Studio - an institutional platform for building and managing on-chain credit facilities zkSync announced Cari Network - a zkSync-powered platform used by five U.S. banks to bring bank deposits onchain Lido launched EarnETH & EarnUSD - two new vaults for stablecoin and ETH yield Ethena reduced the sUSDe unstaking cooldown period to 1 day Hinkal added support for private transactions on Solana Opensea delayed its TGE and airdrop indefinitely Katana launched its token KAT with a ve(3,3) tokenomics model Aster launched its privacy-focused Layer 1 blockchain Byreal introduced Byreal Perps powered by Hyperliquid If you enjoyed this, a like and a retweet would be highly appreciated🫡

API keys were always a human workaround for a machine problem. MPP removes the last excuse for keeping humans in the payment loop, discover, price, pay, and receive, all without a checkout screen. The rail-agnostic design is the real move: Stablecoins, cards, Bitcoin, same protocol.

An AI agent can now on the internet make payments even with no API key. This is now possible through @stripe's new Machine Payments Protocol (MPP) which is an open standard for how AI agents and machines pay each other online. MPP is an open standard rather than a proprietary Stripe-only product. — Think of MPP as “payments for the agentic internet.” Instead of subscriptions or API keys, services can be paid per-use, per-second, or per-task automatically. MPP is an application-layer protocol for programmable payments between machines. It is a protocol that lets one software actor request payment from another, with enough structure to support different underlying rails. In plain English, MPP is trying to solve how an agent can discover a service, learn the price, authorize payment, complete the payment over whatever rail is available, and receive the resource or result all without manual signup, checkout screens, API keys, or a human in the loop? This means that there is no account setup and no API keys . Rather it boasts of: • per-use access • support for agentic commerce • use cases like data queries, • communication APIs, search, research, A/B testing, feedback, and human task marketplaces Notably, MPP is payment-rail agnostic with stablecoins, cards (via @stripe/ @Visa ) and even Bitcoin supported from day one. — MPP’s strongest utility is in situations where normal SaaS billing breaks down with early use cases already live: ● Per-call and per-query services Instead of registering an account and adding a card while storing an API key or getting a monthly invoice, an agent can: • discover a service • pay on demand • use it once and move on This is ideal for search, scraping, data, inference, analytics, routing, and orchestration. ● Cross-provider agent toolchains An autonomous agent may use ten external services in one job. MPP would let it: • pay each provider directly • choose based on price/performance • switch dynamically without human account provisioning • keep auditable machine-readable payment trails That is much closer to how cloud compute is consumed programmatically. ● Micropayments and streaming Many machine interactions are too small or too dynamic for subscriptions: • fractions of a cent per request • per-token model usage • per-second communication • per-byte delivery • dynamic metered access MPP seems designed for these cases. ● Human-in-the-loop task markets With MPP, agents can hire humans for feedback, testing, social tasks, and A/B tasks. That extends MPP beyond APIs into a broader labor marketplace. In that model: • the buyer is a machine • the worker may be human • the payment commitment still needs machine-readable enforcement That could be a large category if agents increasingly outsource specialized edge cases. @tempo’s posts also mention future enterprise features and use cases beyond agents: • global payouts • remittances • embedded finance • tokenized deposits All these suggest that MPP may become a general protocol for programmable treasury and operational payments, not only AI agents. — Here’s a simplified version of MPP's architecture : • Service advertises price • Agent creates payment intent • MPP routes to chosen payment method • Payment proof is verified • Access is unlocked (API, data, service, etc.) — Stripe’s involvement matters because Stripe brings the strongest bridge from internet-native developer workflows to mainstream payments infrastructure. Stripe seems to be betting that with time the real market will be broader: • some machine payments will use stablecoins • some will use cards • some will use Bitcoin flows • enterprises will want compliance, abstraction, retries, reporting, and familiar payment primitives. Knowing this, developers will want one protocol, not a separate integration for each rail. That is the strategic significance of MPP. The biggest problem in agent commerce is economic interoperability and MPP is one solution to this problem. h/t : @jeff_weinstein ( Introducing MPP ) @dwr ( Rails and extensibility ) @uttam_singhk ( Comparison with x402 ) @cuysheffield @matthuang

@Defi_Warhol After all this time, Patience is still key

MSTR chart really looks like a rugged shitcoin but on a 30-year timeframe

Thank you to everyone who joined our AMA today. Your questions and feedback regarding our tokenomics proposal were incredibly valuable. We’ll be sharing a full round-up of the session soon, so stay tuned.

Tokenomics Unpacked: Introducing Performance-Based Rewards on Kaia x.com/i/spaces/1yJAP…

5 hours until we open our tokenomics AMA for all to join. Review the PGT infographic for a quick primer, join the space, and make sure your voice is heard before the upcoming vote. Further details in the thread below ⤵️

Pegasus 2 provides qualified investors with a compliant, fractionalized entry into PT Pelayaran Maritim Prima's operations, seamlessly bridging traditional maritime finance and global digital liquidity. Read the full announcement: investax.io/blog/pegasus-2…

The Kaia RWA ecosystem continues to scale. Following the success of Pegasus 1, Galactica has officially launched Pegasus 2 on @InvestaX. This second issuance brings a $1.5M tokenized maritime finance opportunity onchain, supporting a diversified fleet of 26 vessels.

@animocabrands @ysiu @jack_gk Digital property rights as a human right take on different forms in an AI-dominated economy. Where machines can generate infinite content. And ownership of the original becomes the only thing that matters.

Catch up with the latest developments at Animoca Brands by tuning in to this conversation between @ysiu and @jack_gk. Explore how we've adapted over the years and learn why some pivots have been instrumental. One thing hasn't changed: We believe that digital property rights is a basic human right that everyone should have. It is also even more important now than ever with the drive towards an AI-dominated economy.

@animocabrands @HKVCPEA 50% of Asian transactions are already digital. The next wave isn't just faster payments, it's programmable ones. Looking forward to the conversation at #AVCF2026.

Digital payments now make up over 50% of all transactions in Asia and digital assets will be driving the next wave. Our VP and head of investments and strategic partnerships 0xsamt will join #AVCF2026 by @HKVCPEA to discuss what’s next for digital payments. 🔗 buff.ly/62cLZ4I

@tether @Plasma @pdaxph 🔥🔥

USD₮ on @Plasma is now live on @pdaxph

@thelearningpill $33T in annual volume, 1.4B stablecoin-ready accounts, 106 countries With these numbers, we're still calling this early. The moment stablecoins become invisible infrastructure is the moment the debate about legitimacy ends permanently

@banditxbt So, if you don’t shoot, you won’t have a problem. You're just fully loaded?

opening the timeline in a bear market is like russian roulette except every chamber is loaded

@Defi_Warhol The “unusable” list keeps getting longer every quarter. Agentic payments and onchain reputation alone would've sounded like sci-fi 3 years ago. The “Crypto has no use case” and reality is now too wide to argue with a straight face.

"you cant use crypto in the real world" yes you can: - 24/7 markets - leveraged trading - onchain yield - onchain loans - instant settlement - cross-chain transfers - tokenized assets (own half a lambo) - open fundraising - tokenized treasuries - Agentic payments via x402 - onchain reputation Not useable at all.

@defileo DeFi's UX problem was always the gap between “I want yield” and “here are 12 steps across 4 protocols.” Prompt-to-DeFi collapses that gap to one sentence. The moment for intent-based DeFi is closer than most think.

DeFi can’t evolve without AI in 2026, it needs a new step forward 🧵 DeFi has always been powerful but painful, wrong chain, missed step, five dashboards open at once. Most people quit before they start, the rest waste hours stitching protocols together, hoping nothing breaks... ———————————————————————> @Infinit_Labs's Prompt-to-DeFi changes that, you type what you want in plain English -> Infinit's AI agents handle the rest. Lend, borrow, stake, loop across multiple protocols and chains from one sentence, no code, no manual steps, no interface hopping, just describe your goal and watch it happen. People are already building seriously impressive stuff with it, you can even find strategies made by CT frens. ———————————————————————> Psst... The Prompt-to-DeFi Strategist Challenge is live until April 4 and the community is going hard: Submit strategies -> get verified -> claim a share of a $2,000 IN token reward pool. Rewards are based on creativity and the Total Value Facilitated {TVF} your strategy attracts, so the better your strategy performs, the bigger your cut. Top creators get featured across Infinit's channels, earn a Verified Strategist reputation, and land direct access to the Infinit core team. ———————————————————————> Real strategies are already live, leveraged BNB loops, gold-backed yield plays, multi-chain fixed yield compounders, all built by regular people using plain text prompts. The ecosystem is growing fast, Infinit just listed two AI agents on BNB Chain: @VenusProtocol Agent for plain‑English lending and borrowing on BNB Chain’s largest money market, and @lista_dao Agent for real yield via Lista DAO {lend, stake, borrow} You can now type a simple command like “Lend 100% USD1 to Lista USD1 Vault” to trigger a live strategy. More agents and chains are coming, making DeFi usable in a single sentence. ———————————————————————> The numbers back it up, Infinit just crossed $4m in Total Value Facilitated. TVF tracks the real value being coordinated by AI agents across protocols with every execution, no manual friction, no custody. This milestone means real people running real strategies, and the flywheel is already spinning. This is just the foundation and it gets much bigger from here.

@gakonst The endgame was always offchain computation with onchain security. L1s were never meant to do everything, just to anchor everything. Hitting the physical limits is the forcing function that makes the interesting infrastructure finally matter.

the thing i learned earliest in my crypto journey is that to really really scale a decentralized network, you have to avoid consensus. that's what drove me to L2 scaling. L1s can support agreeing up to a certain number of bytes per second, and hopefully that's a high number on a geodistributed validator set. but to go higher, think 1M-1B payments per second that anchor on a blockchain for security, you need to leverage the offchain world and use the L1 for settlement and coordination. that can be an L2 like an Ethereum rollup or a validium, or a channel. it can also be a shard, in the traditional database sense although that proved to be difficult for many reasons. i am excited to finally see the physical limits of blockchains to be hit, so that the offchain tech we've iterated on for years flourishes even more than it has already.

@Defi_Warhol Went from 10 tabs to one conversation. The AI-suggested prompts on protocol pages are underrated, sometimes the right question is the research.

DefiLlama has always been my go-to for anything DeFi, TVL, yields, protocol comparisons, etc. I pretty much live on that site. So when I was browsing the perps volume page and saw the "Try LlamaAI" button, I had to check it out. I was looking at perp volume across all chains, open interest, and the suggested prompts caught my eye, stuff like "how does zkLighter maintain efficiency at $1.2B volume" and "can any perp protocol challenge Hyperliquid's $3.9B 24h lead." Now it's part of how I do research: → comparing perp protocols across chains, volume trends, fee structures, open interest shifts → yield scanning with actual filters like min TVL and APY → deep dives before putting money anywhere, audits, token performance, competitor analysis → sometimes do daily alerts so I get a briefing instead of checking 10 tabs It pulls from Defillama's full dataset, plus tradfi data, onchain analytics, and live web search in one conversation. The multi-agent research reports that compile into a PDF are genuinely useful. Also been using it to keep tabs on @Mantle_Official lately, pulled up the Mantle page and the AI-suggested prompts alone are worth clicking, stuff like "is Mantle's fee generation competitive with peers?" and "What drives investor sentiment here?" The TVL chart tells its own story, massive ramp since mid-2025 that hasn't slowed down. I'm also participating in @Mantle_Official's AI bounty, figured I'd share what my research setup actually looks like. You can also share your AI workflows, tag @Mantle_Official, and compete for a $10K prize pool. What AI tools are you using for your crypto research? Genuinely curious what workflows people have figured out.

@BloosBTC No bots out here

Please if you are not dead or a bot reply to this tweet I want to clean up my account