Anyspend

onramp anyone. pay any way. earn $ANY.

CA: 0xC17dda248E2D50fC006d8fEbb5A406dd31972712

[Anyspend @anyspend]

AnySpend X402 is here; the first omni-token facilitator

Our omni-token facilitator lets you pay with any token on any chain - gasless and instant

🪙Buyers: Pay with whatever you hold.
💰Sellers: Settle in whatever you prefer.

AnySpend enables every token to become a payment rail 👇

[B3 @b3labs]

Introducing B3IQ.

A new model to own, run and monetize compute.

Already being used by faculty, researchers, and student teams at Stanford, NYU, Penn, UChicago, Dartmouth, Waterloo, and the University of Hawaiʻi.

[Anyspend @anyspend]

Powered by Anyspend.

[B3 @b3labs]

B3OS now supports Robinhood Chain.

Trade or set up agentic strategies on @RobinHoodCrypto with one prompt and one tap to confirm.

Add B3OS to your LLM via MCP now.

Telegram coming very soon.

[B3 @b3labs]

Give it a go, text 310-721-8958 in iMessages

[B3 @b3labs]

People already ask LLMs like ChatGPT and Claude what to do with their money.

On Moonshots hosted by @PeterDiamandis, @brian_armstrong CEO at @coinbase points out the catch: the models have no context on what's in your accounts, and no way to make a trade or send a payment.

That's starting to change. More exchanges now let agents connect through MCP, so the model can act on what you ask. But it acts only while you're there. You ask, it answers, you confirm. The work happens inside the session and ends when you close it.

A B3OS workflow doesn't stop when you do. You build it once and it fires on its own triggers, a schedule, a new block, a contract event, then executes onchain without you in the loop.

Armstrong is mapping the demand. The agent economy needs more than a model you sit and talk to. It needs workflows that keep running once they're live.

[B3 @b3labs]

Why doesn't a single AI agent understand crypto the way it understands everything else?

We've spent the year making B3OS the most natural crypto agent you can use.

The hard part was never the reasoning, it was the execution: landing onchain actions reliably, keeping audit trails, and making sure that when Caddie fires a transaction or pings one of our 1,000+ connectors like Slack or Telegram, it happens the way you asked instead of the way a hallucinating model guessed.

Our CTO @seangeng on where Caddie goes from here:

[B3 @b3labs]

In @PanteraCapital's The Convergence of AI and Blockchain, @cosmo_jiang makes the case that AI and blockchain push each other forward.

Blockchain gives AI open systems to pull from. In return, AI abstracts away the complexity that has held crypto back.

Abstracting it away is the hard part.

The rails exist and the models can reason, but the layer that turns intent into reliable execution onchain is still early.

[B3 @b3labs]

B3OS is an execution layer to instantly access 1,000+ audited, battle-tested crypto triggers and actions (like @Morpho, @HyperliquidX, @Polymarket, @CoinbaseDev and more)

[daryl @darylX24]

Local AI is starting to feel more practical

love their tagline, LM Studio’s new app lets you run local models, in your pocket

when Android and who else is building surfaces like this? I want to try all of them

[B3 @b3labs]

How long does it take you to pay all of your contractors in @USDC each month?

This took one sentence.

[Anyspend @anyspend]

@ItsGioLogist @b3dotfun We love a deterministic guard 💪

[Gio Logist @ItsGioLogist]

Figuring out what a user actually wants when they're talking to your LLM agent is more of a PITA than you can imagine.

We spent months on this with Caddie, our AI workflow builder at @b3dotfun. Started with regex. Ended up with a 6-phase hybrid classifier:

1. Pending plan? (deterministic)
2. Last LLM suggested a plan or asked a question? (deterministic)
3. User asked a question with no workflow intent? (deterministic)
4. Editing an existing workflow? (deterministic)
5. Domain keywords or action verbs? (deterministic)
6. None matched? LLM fallback.

Our deterministic guards capture ~95% of intent. No latency, no tokens burned. The LLM only fires when we genuinely can't tell.

Here's a visual.

PS: Curious how others have handled intent classification. I'd imagine it's usually a hybrid. What LLMs downstream are you finding most performant for this specific use case?

[B3 @b3labs]

.@0xDesigner said it: opening a block explorer to figure out what happened is miserable.

If your team monitors onchain addresses as part of how the business runs (treasury reconciliation or contract activity), this B3OS template automates the daily reporting for you.

𓏠 Runs every day at midnight UTC
𓏠 Pulls all transactions for the address
𓏠 Dedupes against a running database so you only see new activity
𓏠 Resolves token metadata (symbol, decimals, name) automatically
𓏠 Logs everything to a Google Sheet and emails the summary

Make your onchain operations life easier with this template: https://t.co/4exZLzZo2p

[B3 @b3labs]

.@mert is right.

Crypto doesn't scale without privacy, and institutions aren't coming onchain without it.

So we built private wallet funding into a B3OS template:

𓏠 Shields USDC into @RAILGUN_Project on @Arbitrum
𓏠 Sits in the pool to build anonymity (you set duration)
𓏠 Creates a fresh wallet via @turnkeyhq
𓏠 Unshields through a public relayer
𓏠 Swaps to ETH and bridges to any chain via @relay

Privately fund a wallet with a pre-built workflow here: https://t.co/JTFkO3KPoG

[B3 @b3labs]

B3OS is meant to allow you as a trader or builder to set and forget. We make sure all connectors and integrations work as they should in a trusted environment.

[B3 @b3labs]

Hyperliquid is giving us hope for a bullish crypto summer, but nobody wants to sit at their screen 24/7 avoiding liquidations or chasing sudden narrative pumps.

You can now automate your entire HL strategy from B3OS in a trusted, deterministic environment

Zero HL account setup required. <5 seconds to deploy.

[B3 @b3labs]

AI agents are scaling fast; @METR_Evals reports their task completion horizon doubles every 7 months.

But there's a massive gap between an agent completing general software engineering tasks and an agent managing your onchain treasury. In crypto, where you're dealing with programmable money, "long running tasks" are often just a slower way to get exploited.

With B3OS's Caddie 1.1, we introduces a new standard: Verifiable Onchain Autonomy

🏋️Human-in-the-loop: You approve the plan in plain text.

✅ Deterministic Execution Engine: Every action is a trusted and battle tested explicit node

🔐Absolute Control: Every input + result is logged, and wait nodes pause until you sign.

Hear our CTO Sean explain the architecture:

[B3 @b3labs]

The world's best AI talent is speedrunning their own commoditization in free markdown files in exchange for likes.

Expertise is worth much more than a few ♥️s

B3OS is building a future where your agents and skills generate passive revenue.

You create it, we seal it, you get paid as users run your builds.

[B3 @b3labs]

.@chuk_xyz on the agentic finance stack: AI is moving from chat to execution.

Software is starting to act with money on behalf of people and businesses, and the financial stack has to support delegation, control, and accountability.

"Execution layers enable the coordination of workflows."

That's where B3OS sits, connecting agent intent to action across onchain and offchain environments with deterministic execution.

[Anyspend @anyspend]

Anyspend is integrated with B3OS

[B3 @b3labs]

Run a 45.9% ROI weather @Polymarket agent while you sleep 🌤️

@theparuchh built a bot to bet on weather markets in 11 cities, eliminated bias and is netting a 45.9% ROI. We rebuilt his strategy as a B3OS template anyone can run in 3 clicks. Try it yourself: https://t.co/gnrNFpbk5k

Any royalties this template generates routes to a wallet TheParuchh can claim at any time. Send us a DM :)