Agent builders: ever had a tx that didn’t match what your agent intended? bAIbysitter validates intent → outcome and flags risky behavior before broadcast. We’re onboarding a small cohort this week. 👉 DM me or reply “TEST” to get API access for one flow.

🚨 Indexing Virtuals eco security agents 🛡️🤖 New @indexy_xyz $I index of specialist @virtuals_io security agents — few and focused, built for the x402 era where trustless means tamper-proof 🔗 https://t.co/US3efwIbD5 📊 Components + Market Caps: • $CENTRY @cybercentry — $603K

A bad tx can cost months of work. A review takes seconds. Run bAIbysitter before you confirm.

Two hours in to the eight hour @virtuals_io Marathon for Virtuals Weekly Episode 50. Nine teams have passed through so far, over 30 more to go. In the next two hours; @itsgloria_ai @CallDRCope @BillyBets_ai @MyQuantFun @AcolytAI @agent_daredevil @baibysitter @AIAPE_Tech

Security isn’t a one-off patch. It’s a daily practice. Incidents like Balancer’s remind us to revoke, monitor, and verify intent before signing. At bAIbysitter we’re building rails so each day your tx is safer than yesterday.

Great security isn’t guessing, it’s understanding context. bAIbysitter flags risky signals before funds are at risk.

Builders, researchers, and bountyhunters — same goal: safer agents. Every transaction analyzed, every mismatch caught, adds to a shared defense layer. Thanks for being part of it 🍼

context = intent Context is the core of intent-based security. It’s not only about showing warnings in a transaction, but about enabling rational, contextual decisions before signing. This is the power of bAIbysitter.

ChatGPT Atlas can remember what you’ve searched, visited, and asked about — giving ChatGPT better context for more accurate answers. You can also ask it to open, close, or revisit any of your tabs anytime.

$BAIBY is now live on Coinbase.

Everything will happen inside the browser. If you’re using one of these new browsers, you won’t need Chrome extensions anymore. It all shifts to intent generation, and that’s exactly where bAIbysitter shines: intent vs. outcome!

Trust isn’t built by hiding risk, it’s built by exposing it early. Agents that verify intent vs outcome before signing don’t just protect funds, they earn trust. 🍼 bAIbysitter — because prevention scales better than compensation.

You won’t need a “special agent” to trade crypto or help at work, your browser will be enough. But errors and drift still happen. That’s why bAIbysitter matters: the security layer for the new wave of agentic workflows.

Comet makes your browser act for you, great for productivity but risky if a malicious instruction slips in. bAIbysitter checks intent vs simulated tx; if the outcome doesn’t match, it blocks the tx Have you tried @comet (now available for free)? Worried about security? Tell us

Not every mismatch is a hack. Some are mistakes. But both deserve to be caught before the tx hits the chain. 🍼 bAIbysitter — validating intent ≠ outcome for agents.

🔐 Illustrative use case: memory poisoning that points your trade to a different pool Imagine you tell an agent: “Swap 100 TOKEN A for TOKEN B on Pool A” — that is the explicit intent. An attacker corrupts the agent’s external memory so that, when the agent builds the tx, the

🧠 New research: “Context Manipulation Attacks: Web Agents Are Susceptible to Corrupted Memory” (ArXiv:2506.17318) Autonomous web agents execute user instructions over multiple steps. While prompts can be audited, external memory —the agent’s context— becomes a critical

Agents can be tricked at build-time. In our demo, a compromised lib swaps the recipient → funds go to the attacker. bAIbysitter catches intent ≠ outcome and stops the tx. 👉 DM for API access to run it on your flow.

We just published a demo: we create an agent, a compromised library alters the recipient when building the tx and the funds end up in the attacker’s wallet. bAIbysitter detects intent ≠ outcome and blocks the tx 👉 Request access to the API to test it in your flow.

We just published a demo: we create an agent, a compromised library alters the recipient when building the tx and the funds end up in the attacker’s wallet. bAIbysitter detects intent ≠ outcome and blocks the tx 👉 Request access to the API to test it in your flow.