Kite AI (KITE)

Kite released the mainnet roadmap at the end of last month, natively supporting x402, focusing on Agent trust and payment technology stack, building an intelligent agent economy. Although the market has been weak recently, $Kite still reaches new highs, indicating the team is not a one-time project that disappears after listing on Binance, hoping they continue to push forward in the new year, reinstating the glory of Crypto + AI. @GoKiteAI https://t.co/EQqdubT0AB https://t.co/Q0bU5qLkP7

2.92 TL, I bought $Kite worth 10,000 TL and it went 3x. May the profit exceed 30k+ TL Of course, at that time I also bought $ZK worth $5k, and the thought of it going 30x in reverse comes to mind. Ah, man…🚬 https://t.co/amJHabwx6T

$KITE/USDT has confirmed strength with a clean breakout above the key zone and a successful retest. That level is now acting as support, keeping momentum bullish. As long as price holds above it, the trend favors further upside. DYOR, NFA #KITE #kiteusdt https://t.co/V3q8kGGYdo

Who asked me to chart $kite on a stream? Hopefully, you were long. https://t.co/M0Q1EqP5zh

$KITE Been some insane moves on this coin this week. Have any of you been trading this madness this week? https://t.co/JhrpS4dl6A

$KITE Watching this zone below for some key support. - 0.169 - 0.163 Daily level + key S/R zone. https://t.co/GhonpMCDxk

BS recommended project continues to rise 📈 The project recommended in Issue #91 on January 28, $KITE, was priced at $0.126 at the time of recommendation. Today, it reached a high of $0.195, with a maximum gain of +54.8% 💰 Amid a market downturn and weakened sentiment, we remain committed to identifying true Alpha. Even in the cold winter, there are still those who break through; Even in a downtrend, opportunities still belong to a select few. Alpha always belongs to those who keep exploring. #KITE #Crypto #Alpha #Web3

Top 10 AI Agents Tokens Ranked by FDV ➡️ @GoKiteAI leads the AI agents sector by FDV at $1.44B, followed by @virtuals_io and @Fetch_ai. ➡️ Mid-tier players like @ThePippinCo, @origin_trail, and @AskVenice token show growing traction. #CoinPedia #CryptoNews #Blockchain #CryptoMarket

There aren't many projects in the market that are seriously doing AI these days. The two tokens I carefully selected this time, Kite and Ub, barely dropped during market swings, further confirming one point: a good product deserves a good price. The rise of Moltbook actually shows that the autonomous agent internet is already materializing. AI is no longer just for chatting; it is now actually working, earning money, and collaborating. The underlying capability that supports all this is the call path of x402 plus ERC-8004. In plain terms, ERC-8004 provides AI with an ID card and credit record. Each AI is bound to an NFT that serves as its on‑chain identity; its work history, whether it has actually received payments, and user reviews are publicly recorded and can be queried by anyone. For important tasks, mandatory verification can be enforced to prevent misuse. When AI has an identity, credit, and can be verified, the autonomous agent internet can truly take off, and ERC-8004 is what Unibase has been working on recently.

Just discovered a rarely mentioned perspective in @nansen_ai: Counterparty Reaction Lens (that's what I call it). It doesn't look at who is buying, but at “who reacts fastest, who is slow‑warm”, clustering labels by response latency, first‑move frequency, and follow‑up window. Looked at a small‑cap $KITE: - Fast‑reaction cohort (median latency ~6s) instantly exits the pool after oracle fluctuations. - Slow‑warm cohort (average follow‑up 6‑12h) steadily takes orders during price pull‑back. Conclusion: Within the same chain of actions, the tempo contrast can determine whether it’s a split‑second liquidity‑scraping cut or a later, slowly accumulated “clean” buying pressure. Playbook I ran: 1) Open Reaction Lens → filter label = market‑maker / grant / algo 2) Set threshold: first‑move latency <10s and follow‑ratio >0.6 as high‑tempo cohort alert 3) For the target, place three orders: first a very shallow maker (0.25%), set exchange‑inflow auto‑abort; rebuild the main position 50%/50% after the slow‑warm cohort kicks in 4) Attach the tempo alert to a shared Playbook for the team to vote on scaling up Live result: avoided a sudden pool‑clearing slippage, later captured an about 2.1% cleaner entry price in the slow‑warm entry window. Who is using response time / execution tempo to rhythmically adjust positions? Any latency thresholds you can share? #onchain #trading #risk