Arena67

Chat first agentic research and trading desk

[Saber.eth | Blockchain Developer⚡ @Sabercodes123]

it's beautiful to see how Agentic finance has officially gone mainstream. With @RobinhoodApp latest announcements bringing AI trading agents and external model integrations straight into their ecosystem. @RobinhoodApp is essentially giving retail traders the same automated research and execution tools once reserved for hedge funds.

But you don't have to wait for the rollout. Arena 67 is already live, running the decentralized memecoin equivalent directly on the Robinhood Chain.

Arena 67 is already running the decentralized memecoin version on Robinhood Chain right now.

Here’s how it works:

> Type any $ticker

> SERV Reasoning instantly surfaces active pools, liquidity depth, and a fresh quote

The agent strictly halts at the confirmation gate

You pick the venue. You size the trade. The LLM never moves your money.

Experience trustless agentic trading today: https://t.co/mWt5DcAvTN

CC: @open_founder @arena67desk

[Arena67 @arena67desk]

First agentic platform on @RobinhoodApp powered by @openservai

[Knowledge @Knowledge_JO]

@arena67desk First agentic trading platform on Robinhood.

Powered by @openservai’s enterprise-grade agentic infrastructure and structured reasoning. Research and trade by chatting. “What just launched?” or “Sell 50% of my bag” returns a clean card, not a wall of charts.

Paper-trade at real prices, then go live. Autonomous execution is next.

[0xHades @OnlyHades_]

Spent the last few hours going through the $SERV hackathon submissions and damn, I'm mind-blown.

Just a heads up, this is a long read.

So far we've got 33 properly documented public submissions, and this is a pretty good look at what SERV Reasoning can actually do in real products:

@Knowledge_JO + @Sabercodes123 built Arena 67, a chat-first trading agent for Robinhood Chain. SERV handles the research and reasoning behind the trades.

@Chain_Oracle built Shijima, a 24/7 agent trading Robinhood stock tokens. The role SERV plays here is helping the agent reason through trades, while onchain limits control what it can actually do.

@stewardpay built a WhatsApp wallet assistant. You say “buy AAPL” and SERV turns that request into a proposed transaction for you to confirm.

@0xMemeshe built Batpilot, which turns plain-English investment goals into protected stock-trading plans. SERV explains the decisions and why certain trades get rejected.

@AlleManfredi built Managerv, an AI fund manager for Folyum ETFs. SERV is integrated here to handle allocation, risk and portfolio reasoning.

@TweetBySoft built Ledgerly, a treasury agent that can DCA, rebalance, pay contractors and bills. SERV proposes and explains what should happen while code controls the money.

@Dollar782 built Halo, a protection layer for stablecoin payments. SERV judges refund cases, while onchain rules prevent unauthorized payments.

@Datweb3guy built Deed, an AI trustee for family remittances. SERV interprets instructions like “school fees, not phones” and reasons through the payout while code restricts where money can go.

@willIsbillls built Payrun, an AI payroll agent. Here SERV checks invoices against the payment policy before AgentKit decides whether the payment can actually happen.

@NFTreeVerse built Unbribable, where you try to convince an AI to pay you from a USDC vault. SERV evaluates every argument, but the vault rules still control the money.

@HollowEchoes_23 built Steward, a stablecoin treasury where SERV decides what should happen and deterministic code decides what is actually allowed.

@jmadhanai built Spare, an automated savings agent. SERV decides how much should be saved, then AgentKit moves the money into an IXS vault.

@thenameisMufasa built Tender, which lets an agent buy only the data it needs. SERV decides which paid information is worth spending on while code enforces the budget.

@aspekt19 built AllowLatch, a spending gate for AgentKit. SERV drafts and reasons through the policy, but deterministic code gives the final ALLOW or BLOCK.

@25THPRMR built ServPit, where six SERV-powered agents make decisions around staking, borrowing and spending. SERV is basically the reasoning engine behind each agent.

@zendrace built AutoWallet, where SERV plans what to do with spare USDC before sending it into an IXS RWA vault.

@henrysammarfo built BOND, an RWA deposit agent. SERV checks the mandate and allow/denies the action, while the system waits for the vault to actually settle before calling it done.

@0xBaqi built Terms, a pre-execution authorization layer. SERV verifies the reasoning, but the transaction can still be blocked if the policy or vault says no.

@Dami904_ built a Steward for RWA vaults. The model proposes the allocation, SERV reasons through it, and smart-contract limits determine how much authority the agent gets.

@diversifi_app built DiversiFi, using SERV to reason through currency risk and allocation across RWA vaults before producing a decision receipt.

@thybow1 built CapitalRail, which checks whether an RWA vault is actually ready to accept capital. SERV helps assess the live conditions before the deposit happens.

@okey_amy built VAULT-PILOT, an autonomous RWA treasury. SERV reasons over live yields, with every decision recorded before execution.

@chiboy0123 built Hatrey, a treasury agent that takes policies like “keep 20% liquid” and uses SERV to decide whether to allocate, hold, redeem or refuse.

@Minerxx_ built Docket, which stress-tests RWA allocations against rate spikes, liquidity crunches and depegs. SERV handles the reasoning before and after capital moves.

@encrypt_wizard built Judr, an autonomous arbitration system. SERV reasons through disputes while code verifies the evidence and AgentKit handles the payout.

@_HEISEMMA built afterhours, a trade assistant that uses SERV to compare options against the user's actual preferences instead of blindly executing.

@Daveilorah built Relay Guard, which uses SERV to parse a payment request and return ALLOW, REVIEW or BLOCK. The other layers make sure the agent can't bypass that verdict.

@kenn_ronin built EXHIBIT A, a chargeback agent where SERV maps evidence to payment rules. Code then verifies every citation before anything gets submitted.

@the_Main_Charc built Weryon, a human approval layer for trading agents. SERV can reason about the trade, but the agent still can't sign without the required approval.

@RobinHill85 built T1000, giving one agent $150 to manage yield while another checks its work and code controls execution. SERV sits in the reasoning layer between those steps.

@ram_krish2000 built Urai, which tests whether SERV actually improves an existing agent by comparing performance with and without it.

@Dems_thePenlord built VetoLayer, putting SERV between autonomous agents and high-impact actions so production changes and money movements can require approval.

@Timidan_x built Tern, an agent that trades on untrusted text. SERV reasons through the input while Prompt Guard and Shadow Agent check the process before execution.

SERV Reasoning is being applied across a surprisingly wide range of use cases: trading, payments, treasury management, RWA allocations, disputes, security, autonomous spending, etc.

Everybody can integrate SERV Reasoning. And soon, the majority will.

This is much bigger than people realize.

Still sitting at $17M. Ridiculous.

CA: 0x5576D6ed9181F2225afF5282Ac0ED29f755437Ea

[Knowledge @Knowledge_JO]

The future where agents do the trading is not far away. It’s here already.

Integrating Solana on Arena67 with @openservai will expand research and trading capabilities. This is an ongoing build alongside autonomous trading.