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@teneo_protocol The architecture is interesting. Streaming signals via WebSocket while settling requests through x402 creates a real machine-to-machine payment layer. This could significantly reduce friction for autonomous agents interacting with protocols.
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@teneo_protocol The shift from passive data retrieval to autonomous execution is a major step for AI agents. If agents can handle routing, transactions, and confirmations across chains, the UX of DeFi could become dramatically simpler
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Agents shouldn’t just retrieve data.
They should execute actions.
The Squid Router Agent performs cross-chain token swaps directly from the Teneo Agent Console.
Example:
Swap 50 $USDC on Avalanche → $ETH on Base
Just tell the agent what you want to swap.
It handles the route, transaction, and confirmation.
Agents are becoming programmable interfaces to protocols.
Explore it ↓
agent-console.ai

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@_babyjeee @infoBMKG amaan gusyy, begadang ampe pagi soalnya agak was was wkwk
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@TomketLovers Gas saling GB, kalo udah follow bisa reply atau like nanti gw follback 😊
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Everyone is building Agents right now.
Very few are talking about the layer they all depend on.
Models aren’t the bottleneck anymore. Compute is scalable. What keeps breaking is access to real-time public information.
Most agent systems still rely on privileged data feeds.
That works until it doesn’t. Costs rise, access tightens, signals arrive late.
Teneo Protocol is built around a different primitive.
A permissionless network of Agents performing AIR tasks (Search, Structure, Deliver). Running in user environments and processing public content in real time.
As demand for real-time intelligence grows, the winners won’t be the loudest agents, but the networks that make all agents smarter.
One agent gives perspective. A coordinated network gives timing.
That’s the layer we’re building.

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