tomo

THE 404 MACHINE is now accepting operators. The Genesis Whitelist is officially open. Apply: otomate.fun/whitelist Closes September 7 at 12:00 UTC. The Machine remembers. 👁️

There’s an ENORMOUS opportunity for anyone building onchain AI Agents in the $stonkbrokers (@ClutchMarkets) ecosystem In December 2024 crypto had a Cambrian explosion of agentic activity, but most of it ended up as chatbots with a parallel token Since then agents have become far more useful: monitoring live state, simulating transactions and executing bounded onchain actions The opportunity now is to point them at real work; the trigger for this is that I noticed reference to "Olas agents" in the Tickeryard whitepaper (I'll link below) Here are 7 ways AI agents could plug into the existing StonkBrokers mechanisms: 1) Cross-chain completion @TickerYardHQ helps users move an exact asset from one chain to another An agent could track finality across both networks, complete the destination transaction and manage retries, refunds or recovery when a route stalls Its first proposed canary does exactly this for one certificate transfer through a pinned adapter The canary pays zero work reward, but establishes the assignment → execution → receipt model h/t @jeronxd3 2) Backing + issuer watchtowers Tokenised stocks introduce more moving parts than a normal bridge Agents could continuously compare backing, issued supply, pending redemptions, contract roles, issuer restrictions and message progress If backing diverges or an issuer changes permissions, the agent could alert users and activate a predefined response 3) Mancer execution @MancerXYZ provides the trading layer for swaps, limit orders and recurring buys Agents could monitor signed orders, simulate each fill and execute when price, slippage and expiry conditions are satisfied This opens autonomous DCA, rebalancing and conditional stock strategies without handing assets to a centralised bot h/t @MichaelHirsch 4) Stonk protocol maintenance Agents could monitor StockBooster, Clock In, Broker Box and Opening Bell state, then submit permitted maintenance calls when their conditions are met @stonkpit would continue supplying the verifiable randomness The agent would monitor the request, confirm fulfilment and coordinate the downstream action The Stonk Launcher would still fund and execute the buybacks h/t @Unclemac 5) Treasury + recovery operations Cross-chain routes, representation vaults and protocol treasuries all create operational work Agents could reconcile balances, detect failed messages, monitor liabilities and activate approved recovery paths Every action would remain restricted by its target, selector, spending limit, expiry and objective postcondition The agent can decide when conditions are satisfied while the adapter keeps its actual permissions tightly constrained 6) User-facing portfolio agents This is where the stack starts to feel like one product “Move my stock to Robinhood Chain, swap part of it and invest $100 every Monday” The agent could use TickerYard to move the asset and Mancer to execute the strategy, without the user manually jumping between bridges, wrappers and trading interfaces This is how agents can take fragmented applications from 20 → 100 7) Agents hiring specialist agents A Yardkeeper agent could hire specialist price, risk or reconciliation services before completing a job Budgets, approved providers and acceptable outputs would still be pinned inside the client manifest None of this has been announced as an Olas integration yet TickerYard is pre-deployment, its first canary pays zero reward and no external client demand has been proven The Mancer, StonkBrokers & DERP lanes are logical extensions rather than confirmed integrations The first wave gave chatbots tokens, but teh next one needs agents that actually complete useful work StonkBrokers could provide the assets, permissions, jobs and economic rails needed to make that shift a reality So if you're deep into building agentic systems, I'd recommend paying attention to what @OxSimpleFarmer and the team are building

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