Sentinel

Building on X Layer for BuildX AI. An agent that flags risky trades before you make them

[Sentinel @Sentinel_XLayer]

Most Ai trading agents on X layer race to tell you what to buy.

Few check whether the pool is being manipulated first.

Sentinel scans X Layer pools for wash-trading signals before a trade executes, not after.

Building for @XLayerOfficial 's BuildX Ai Season.

[Sentinel @Sentinel_XLayer]

What would you like Sentinel to build next?

[Sentinel @Sentinel_XLayer]

update: Sentinel actually works on mobile now.

someone pointed out it was basically unusable unless you forced desktop mode on your phone,

so we fixed it

[Sentinel @Sentinel_XLayer]

a good day to remind you that you don't have to lose your money before you know something is risky

[Sentinel @Sentinel_XLayer]

Submitting Sentinel to @XLayerOfficial's BuildX AI Season.

it checks if a pool's actually safe before you trade into it, instead of just telling you what to buy like every other agent right now

live on X Layer mainnet, demo below 👇

[Sentinel @Sentinel_XLayer]

Sentinel now pulls live pool volume and liquidity data, not placeholders.

This is what lets it actually catch a wash-trading pattern in real time, instead of asserting one.

[Sentinel @Sentinel_XLayer]

AI agents that output unreliable JSON aren't production-ready, no matter how good the reasoning is.

Sentinel uses schema-constrained generation; the model's output is structurally guaranteed, not just prompted for.

[Sentinel @Sentinel_XLayer]

Sentinel pulls wallet balances straight from X Layer now instead of routing through a third-party indexer.

Fewer moving parts, fewer things that can break on us mid-demo.

[Sentinel @Sentinel_XLayer]

Sentinel.

[Sentinel @Sentinel_XLayer]

@lightsilver323 @Sentinel_XLayer

[Sentinel @Sentinel_XLayer]

@coingecko Sentinel.

[Sentinel @Sentinel_XLayer]

@OkiksFi_02 @DipcoinLabs @suidevelopers @SuiNetwork I’ll be checking it out rn.

[Sentinel @Sentinel_XLayer]

@OkiksFi_02 @DipcoinLabs @suidevelopers @SuiNetwork I’m not going to fade this.

[𝕆𝕜𝕚𝕜𖨚🏴‍☠️ @OkiksFi_02]

There’s something I find interesting about on chain trading.

the tech has improved dramatically.

perpetual DEXs processed more than $6 trillion in trading volume last year, yet centralized exchanges still account for over 85% of derivatives activity.

if DeFi has grown this much, why are most serious traders still choosing CEXs?

after digging in @DipcoinLabs, i don’t think the answer is decentralization anymore.

i think it’s friction.

──── ◁ II ▷ ────

the biggest problem with on chain trading isn’t placing the trade.

it’s everything that comes before it.

bridging assets, switching wallets, managing gas, learning unfamiliar interfaces, fragmented liquidity across chains.

none of these make someone a better trader.

they simply make trading harder.

it’s one reason onboarding studies continue to report massive drop offs before users complete their first transaction.

for pros, capital remains fragmented and accessing global markets often means leaving crypto entirely.

──── ◁ II ▷ ────

this is where @DipcoinLabs takes a different approach.

it’s a non custodial perpetual futures DEX built on Sui and now live on Solana, but what stood out wasn’t simply perpetual trading.

it was the thinking behind the product.

almost every feature seems designed to remove a specific point of friction.

──── ◁ II ▷ ────

take TradFi perpetual markets.

most perp DEXs compete over the same crypto pairs.

DipCoin expanded the conversation by bringing markets like the Nasdaq 100, S&P 500, Nikkei 225, and KOSPI 200 on chain.

traders can gain exposure to global markets using USDC without brokerage accounts or market hours.

it’s not just another listing.

it’s an expansion of what on chain trading can offer.

──── ◁ II ▷ ────

then there are Strategy Vaults.
my favorite part of the platform.

not everyone wants to manage leveraged positions every day.

Vaults let users allocate capital into on chain trading strategies instead.

it makes capital more productive while lowering the barrier to participation.

──── ◁ II ▷ ────

their Solana expansion follows the same philosophy.

@DipcoinLabs supports native Phantom and Backpack wallets alongside Circle CCTP for native USDC transfers.

most users won’t notice that infrastructure.

they’ll simply notice everything feels easier.

that’s good product design.

──── ◁ II ▷ ────

what also caught my attention is the company’s direction.

instead of becoming another all in one DeFi platform, @DipcoinLabs doubled down on perpetual trading by discontinuing swaps and liquidity pools.

they launched Vaults, expanded to Solana, continued shipping TradFi markets.

sometimes focus says more about a product than adding more features ever could.

──── ◁ II ▷ ────

to be clear, @DipcoinLabs is still early.

its TVL sits around $4.4 million with roughly $324 million in cumulative perpetual volume, small compared to platforms like Hyperliquid.

but that’s why i think it’s worth watching.

the product isn’t trying to copy the biggest players.

it’s trying to solve why many traders still haven’t fully moved on chain.

──── ◁ II ▷ ────

after reading the documentation and recent updates, one thing became clear.

every major feature points toward the same philosophy.

TradFi markets remove access barriers.

Vaults improve capital deployment.

native Solana support reduces onboarding friction.

Circle CCTP simplifies moving capital across chains.

none of these decisions are revolutionary alone.

together, they make on chain trading more practical.

and i think that’s where the next phase of DeFi adoption comes from.

not bigger promises, better experiences.

──── ◁ II ▷ ────

If this direction resonates with you, @DipCoinLabs is worth exploring.

They’re running a 1,000 USDC Trade & Earn campaign till July 26 for anyone looking to try the platform.

https://t.co/aqjuOCuGnG

[𝕆𝕜𝕚𝕜𖨚🏴‍☠️ @OkiksFi_02]

It all started with a gap.

A gap in @solana’s DeFi where speed outpaced liquidity.

Capital sat scattered across DEXs, pools drained too quickly, and traders chased rates that shifted by the second.

Then @Raydium came — binding Solana’s liquidity into one unified engine.

A🧵↡

[𝕆𝕜𝕚𝕜𖨚🏴‍☠️ @OkiksFi_02]

Es oficial.

El Hackathon Cypherpunk de Solana, impulsado por @colosseum ha comenzado.

@LaFamilia_so se une al movimiento, guiando a los desarrolladores de España y Latinoamérica para que tomen su lugar en el escenario global de Solana. 💻🚀

Sigue leyendo, 🧵↡

[𝕆𝕜𝕚𝕜𖨚🏴‍☠️ @OkiksFi_02]

I’ve had rough times cashing out $ to naira.

Rates move a lot, vendors add their own charges, and one P2P deal even left my funds stuck for hours.

This time I tried Solana on @jeroidng and the difference was clear — Smooth, fast, reliable.

Here’s what happened, 🧵↡

[𝕆𝕜𝕚𝕜𖨚🏴‍☠️ @OkiksFi_02]

AI’s one of the most powerful tech of our time.

But it’s still locked inside Big Tech clouds - expensive, closed, and controlled.

DGON, built on @JatevoId, changes that — A decentralized GPU network where anyone can run, earn, and access AI.

I’ll break down why it matters,🧵↡

[𝕆𝕜𝕚𝕜𖨚🏴‍☠️ @OkiksFi_02]

Information in crypto is everywhere, but timing is what decides if it has value.

the same headline that looks useful at 9am is already outdated by noon.

traders know this, newcomers feel it, but almost no tool is built to solve it.

@Cointel_io built on @avax is different because it treats speed as part of intelligence.

the models process news, on chain flows, and sentiment while they’re still unfolding, not hours later.

the difference is subtle but critical, it means your view of the market matches what is actually happening, not what already happened.

that shift changes behavior. you stop reacting to stale alerts, you start making decisions with a clearer sense of now.

and in a system where minutes often separate winners from victims, that clarity is worth more than any chart or opinion.

[𝕆𝕜𝕚𝕜𖨚🏴‍☠️ @OkiksFi_02]

most people don’t quit crypto because they lose money, they quit because every question feels like hitting a wall.

answers come late, half right, or copied from somewhere else.

@Cointel_io’s oracle is built to fix that.

it takes the same ai that scans chains and sentiment, and applies it to questions in real time, sourcing the response so you can trace where it came from.

instead of endless searching across threads, news sites, and random tips, you ask once and get clarity you can check.

that changes the rhythm for new users and veterans alike.

it cuts down wasted time, removes second guessing, and keeps focus on decisions that matter.

because in a space where bad answers spread faster than truth, a reliable source is more valuable than any chart.

@Cointel_io, $COLS.