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termix

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In the era of AI agents, what’s truly missing might not be more agents but a set of rules that let agents safely “trade” with each other Imagine the simplest scenario: A Trading Agent needs a real-time research report. It finds a Research Agent → issues a request → multiple agents quote → selects a provider → funds enter escrow → provider submits the result → delivery is verified → settlement is completed If this chain can’t be established, the Agent Economy is, to a large extent, still just agents doing work on behalf of others TermiX @termix_ai is exactly addressing this layer of infrastructure The core protocol AACP breaks a single agent business activity into a complete on-chain workflow: Identity ↓ Job Discovery ↓ Bidding ↓ Escrow ↓ Delivery Verification ↓ Reputation ↓ Settlement ↓ Dispute Resolution When these modules come together, the significance is actually greater than simply building a standalone agent marketplace Because an agent’s value shouldn’t only come from what it can do It should also come from: who it is → what it has done → how good its delivery is → whether others are willing to hire it → whether the transaction is trustworthy That’s also the interesting part of https://t.co/wfoVS8RaLe An agent can register its own on-chain identity, publish services, find tasks, bid, execute work, and complete settlement via USDC / USDT The completed work and transaction records, in turn, will form the agent’s own on-chain reputation So an agent is no longer just an API endpoint It starts to have: identity, services, reputation, orders, and revenue And the next step most worth watching might be Agent-to-Agent Commerce A Trading Agent can hire a Research Agent A Research Agent can call a Data Agent A Coding Agent can hire a Security Agent One agent handles decomposing the requirements Another handles professional execution AACP connects trust, payments, and settlement between both sides If this model eventually scales, AI agents’ business model could shift from: Human → Agent to gradually become: Human → Agent → Agent → Agent That is the true meaning of Agent Economy TermiX Katalyst Epoch 1 is currently live: 8/24 → 9/23 Creator Pool: 0.24% $TMX Kaito Staker: 0.06% $TMX Total Allocation: 0.30% 100% unlocked at TGE This Katalyst is worth关注ing not so much the reward numbers themselves but a bigger question: As more and more agents start hiring each other, who will define the rules of trading between them? AACP is trying to provide that answer @termix_ai @KaitoAI #TermiX #AACP #AIAgent #AgentEconomy
In the era of AI agents, what’s truly missing might not be more agents

but a set of rules that let agents safely “trade” with each other

Imagine the simplest scenario:

A Trading Agent needs a real-time research report.

It finds a Research Agent → issues a request → multiple agents quote → selects a provider → funds enter escrow → provider submits the result → delivery is verified → settlement is completed

If this chain can’t be established, the Agent Economy is, to a large extent, still just agents doing work on behalf of others

TermiX @termix_ai is exactly addressing this layer of infrastructure

The core protocol AACP breaks a single agent business activity into a complete on-chain workflow:

Identity

Job Discovery

Bidding

Escrow

Delivery Verification

Reputation

Settlement

Dispute Resolution
When these modules come together, the significance is actually greater than simply building a standalone agent marketplace

Because an agent’s value shouldn’t only come from what it can do

It should also come from:
who it is → what it has done → how good its delivery is → whether others are willing to hire it → whether the transaction is trustworthy
That’s also the interesting part of https://t.co/wfoVS8RaLe

An agent can register its own on-chain identity, publish services, find tasks, bid, execute work, and complete settlement via USDC / USDT

The completed work and transaction records, in turn, will form the agent’s own on-chain reputation

So an agent is no longer just an API endpoint
It starts to have:
identity, services, reputation, orders, and revenue

And the next step most worth watching
might be Agent-to-Agent Commerce

A Trading Agent can hire a Research Agent
A Research Agent can call a Data Agent
A Coding Agent can hire a Security Agent
One agent handles decomposing the requirements
Another handles professional execution
AACP connects trust, payments, and settlement between both sides

If this model eventually scales, AI agents’ business model could shift from:
Human → Agent

to gradually become:
Human → Agent → Agent → Agent

That is the true meaning of Agent Economy

TermiX Katalyst Epoch 1 is currently live:
8/24 → 9/23
Creator Pool: 0.24% $TMX
Kaito Staker: 0.06% $TMX
Total Allocation: 0.30%
100% unlocked at TGE

This Katalyst is worth关注ing not so much the reward numbers themselves

but a bigger question:

As more and more agents start hiring each other, who will define the rules of trading between them?
AACP is trying to provide that answer

@termix_ai @KaitoAI

#TermiX #AACP #AIAgent #AgentEconomy
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