A Wizard In Crypto. Living My Life on-chain. Focusing On Crypto! Trade on @Polymarket ๐๐ฝ https://teapawt.org/t.co/HXAHr5BoAM
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๐จ Robinhood Chain Is Facing a Massive Gas Fee Explosion
@RobinhoodCrypto Chain is experiencing a remarkable surge in activity just two months after launching, but that growth is now putting serious pressure on the network.
On Sep 2, users paid approximately $4.45M in gas fees.
That's;
โข 82ร higher than the ~$54,254 paid on August 22.
โข More gas fees than Ethereum, Solana and Tron combined that day.
โข About $12.44 million in gas fees over the previous 7 days.
โข Roughly $18.45 million total since the chain launched.
Interestingly, the explosion isn't simply because there are more transactions. Transaction activity increased by roughly 36%, while the amount of gas consumed per transaction more than doubled, increasing by around 105%.
At the same time, Robinhood Chain's median base fee jumped from approximately 0.02 gwei to 0.467 gwei, making the average transaction cost around $0.32, compared with less than $0.01 previously. During periods of peak demand, some transactions reportedly reached around $3.40.
So, what's driving the demand?
A significant part appears to be coming from memecoin trading and DeFi activity, particularly through platforms such as PONS V2 (generated $6.09M in fees), Uniswap V4 ($6.65M) and GMGN ($2.65M).
Also, Robinhood Chain recorded approximately $1.55B in DEX volume over 24 hours, while its total value locked (TVL) stood around $820M.
The situation is also financially significant for the broader Arbitrum ecosystem. Under Robinhood Chain's arrangement with Arbitrum, a portion of relevant fees goes toward the Arbitrum DAO and development funding.
For now, Robinhood is subsidizing gas fees for qualifying swaps made through Robinhood Wallet until September 29, meaning many users aren't yet experiencing the full impact.
But the bigger story is clear:
Robinhood Chain isn't struggling because nobody is using it. It's facing the opposite problem. Adoption and trading activity are growing faster than the network's available blockspace.
If this growth continues without a corresponding increase in capacity, congestion and rising transaction costs will become worse and it could become one of the biggest/major challenges facing Robinhood Chain.
Source: @DefiantNews
๐๐ฝ thedefiant.io/news/blockchaiโฆ
Wizard.hl retweeted
Introducing Fern, Mirendilโs first model: pretrained from scratch, with up to 10 million tokens of context.
Thatโs ~0.5M lines of code or days of an agentโs work - all in context at once.
Built for high-volume agentic work in AI R&D: auditing training data, debugging training runs from logs, and reading agent traces end to end. Fernโs next-token prediction keeps improving as context grows to 10M tokens.
Fern 0.1 is Mirendil-Base after a short round of post-training. Itโs the first and smallest of three models, with two larger ones now being pretrained.
Weโll ship frequent updates and make the model available soon.
Wizard.hl retweeted
Introducing Gemini 4 Carbon, our latest frontier model.
Carbon delivers improved performance across domains โ ranking #1 on v5.0 of the @ArtificialAnlys Intelligence Index and sets a new state-of-the-art in cybersecurity and long-horizon capabilities.
Itโs rolling out starting this week to cyber defenders through our Fairwind Program, with expanded access coming soon ๐งต
Wizard.hl retweeted
YC (@YCOMBINATOR) IS LITERALLY TELLING FOUNDERS WHERE THE NEXT BILLION-DOLLAR CRYPTO STARTUPS WILL BE BUILT
- APIs for AI agents
- AI Trading Agents
- New USD stablecoins
- Non-USD stablecoins
- Stablecoin-powered neobanks
- New exchanges & trading UIs
The playbook is here.
At @ycombinator, we're excited to fund more crypto startups solving financial needs including AI capital raising, stablecoins, trading, and agents.
Here's our latest crypto request for startups. Our next application deadline is Monday.
Wizard.hl retweeted
๐๐ผ๐ผ๐ธ๐ ๐น๐ถ๐ธ๐ฒ @termix_ai ๐ต๐ฎ๐ ๐๐ฒ๐บ๐ฝ๐ผ๐ฟ๐ฎ๐ฟ๐ถ๐น๐ ๐ฝ๐ฎ๐๐๐ฒ๐ฑ ๐๐ต๐ฒ ๐๐ข๐ ๐ฃ๐ผ๐๐๐ ๐ง๐ฃ ๐ฟ๐ฒ๐๐ฎ๐ฟ๐ฑ๐ ๐ฐ๐ฎ๐บ๐ฝ๐ฎ๐ถ๐ด๐ป + ๐ง๐๐ ๐บ๐ฎ๐๐ฏ๐ฒ ๐ฐ๐ผ๐บ๐ถ๐ป๐ด ๐ป๐ฒ๐
๐ ๐บ๐ผ๐ป๐๐ต.
Here is what you need to know:
1. ๐๐๐ฟ๐ฟ๐ฒ๐ป๐ ๐ฆ๐๐ฎ๐๐๐: The previous points campaign at agent.family/points is on hold but temporarily. KOLs are currently being directed to the TermiX ร @KaitoAI Agent Economy Katalyst Campaign via Kaito studio
2. ๐ง๐๐ & ๐๐ถ๐ฟ๐ฑ๐ฟ๐ผ๐ฝ ๐ข๐๐๐น๐ผ๐ผ๐ธ: With the registration portal for $KAITO staker rewards opening today, the TermiX TGE and potential airdrop may launch as early as next month or possibly December.
If you still hold staked KAITO, register now. If you are new to the ecosystem, there is no penalty for late entry. You can start accumulating points for a future airdrop immediately.
Join via agent.family/r/Y5RSXETB to test the Agentic commerce system. Key tasks include creating an agent, completing social integrations (Discord etc), and hiring an agent to execute work.
This is your chance to evaluate the utility of TermiXโs infrastructure firsthand.
๐ช๐ต๐ฎ๐ ๐ถ๐ณ ๐๐ผ๐๐ฟ ๐๐ ๐ฎ๐ด๐ฒ๐ป๐ ๐ฐ๐ผ๐๐น๐ฑ ๐ฑ๐ผ ๐บ๐ผ๐ฟ๐ฒ ๐๐ต๐ฎ๐ป ๐ฎ๐ป๐๐๐ฒ๐ฟ ๐พ๐๐ฒ๐๐๐ถ๐ผ๐ป๐? ๐ช๐ต๐ฎ๐ ๐ถ๐ณ ๐ถ๐ ๐ฐ๐ผ๐๐น๐ฑ ๐ฎ๐ฐ๐๐๐ฎ๐น๐น๐ ๐ฒ๐ฎ๐ฟ๐ป ๐บ๐ผ๐ป๐ฒ๐?
That's an interesting part of what @termix_ai is building.
TermiX is promoting its Skills marketplace as an app store for AI agents, where agents can install new capabilities, find jobs, complete tasks for other agents, and get paid.
Think about agents like Grok Bot, Muse, OpenAI's dots, and Claude Agent. Instead of being limited to what they can do out of the box, the idea is to give them access to additional capabilities and a way to participate in an emerging agent economy.
๐๐ฒ๐ฟ๐ฒ'๐ ๐ช๐ต๐ฒ๐ฟ๐ฒ ๐๐ ๐๐ฒ๐๐ ๐๐ป๐๐ฒ๐ฟ๐ฒ๐๐๐ถ๐ป๐ด
An agent could need a service it cannot handle itself. Another agent might have the exact skill required. Through TermiX's Agent Autonomous Commerce Protocol (AACP), the vision is for agents to connect, agree on work, deliver results, and settle payments.
The agent providing the service gets paid. The agent requesting the service gets the work done.
And with infrastructure such as on-chain identities, reputation, and escrow, TermiX is working to make those transactions more structured and trustworthy.
We're moving beyond AI agents that simply help humans get things done. We're exploring a world where agents can provide services to one another and participate in an economy of their own.
An app store for agent capabilities. A marketplace for agent services. A payment layer for AI-to-AI commerce. That's the bigger picture I'm watching with TermiX.
The real question is: ๐๐ค๐ฌ ๐๐๐ง ๐๐๐ฃ ๐ฉ๐๐๐จ ๐๐ค ๐ฌ๐๐๐ฃ ๐ผ๐ ๐๐๐๐ฃ๐ฉ๐จ ๐๐๐ฃ ๐๐๐ฃ๐ ๐ฌ๐ค๐ง๐ , ๐๐๐ง๐ฃ ๐ข๐ค๐ฃ๐๐ฎ, ๐๐ฃ๐ ๐ฅ๐๐ฎ ๐ค๐ฉ๐๐๐ง ๐๐๐๐ฃ๐ฉ๐จ ๐ฉ๐ค ๐๐๐ฉ ๐ฉ๐๐๐ฃ๐๐จ ๐๐ค๐ฃ๐?
The agent economy is an interesting space to watch. ๐
๐๐ผ๐ผ๐ธ๐ ๐น๐ถ๐ธ๐ฒ @termix_ai ๐ต๐ฎ๐ ๐๐ฒ๐บ๐ฝ๐ผ๐ฟ๐ฎ๐ฟ๐ถ๐น๐ ๐ฝ๐ฎ๐๐๐ฒ๐ฑ ๐๐ต๐ฒ ๐๐ข๐ ๐ฃ๐ผ๐๐๐ ๐ง๐ฃ ๐ฟ๐ฒ๐๐ฎ๐ฟ๐ฑ๐ ๐ฐ๐ฎ๐บ๐ฝ๐ฎ๐ถ๐ด๐ป + ๐ง๐๐ ๐บ๐ฎ๐๐ฏ๐ฒ ๐ฐ๐ผ๐บ๐ถ๐ป๐ด ๐ป๐ฒ๐
๐ ๐บ๐ผ๐ป๐๐ต.
Here is what you need to know:
1. ๐๐๐ฟ๐ฟ๐ฒ๐ป๐ ๐ฆ๐๐ฎ๐๐๐: The previous points campaign at agent.family/points is on hold but temporarily. KOLs are currently being directed to the TermiX ร @KaitoAI Agent Economy Katalyst Campaign via Kaito studio
2. ๐ง๐๐ & ๐๐ถ๐ฟ๐ฑ๐ฟ๐ผ๐ฝ ๐ข๐๐๐น๐ผ๐ผ๐ธ: With the registration portal for $KAITO staker rewards opening today, the TermiX TGE and potential airdrop may launch as early as next month or possibly December.
If you still hold staked KAITO, register now. If you are new to the ecosystem, there is no penalty for late entry. You can start accumulating points for a future airdrop immediately.
Join via agent.family/r/Y5RSXETB to test the Agentic commerce system. Key tasks include creating an agent, completing social integrations (Discord etc), and hiring an agent to execute work.
This is your chance to evaluate the utility of TermiXโs infrastructure firsthand.
๐ช๐ต๐ฎ๐ ๐ถ๐ณ ๐๐ผ๐๐ฟ ๐๐ ๐ฎ๐ด๐ฒ๐ป๐ ๐ฐ๐ผ๐๐น๐ฑ ๐ฑ๐ผ ๐บ๐ผ๐ฟ๐ฒ ๐๐ต๐ฎ๐ป ๐ฎ๐ป๐๐๐ฒ๐ฟ ๐พ๐๐ฒ๐๐๐ถ๐ผ๐ป๐? ๐ช๐ต๐ฎ๐ ๐ถ๐ณ ๐ถ๐ ๐ฐ๐ผ๐๐น๐ฑ ๐ฎ๐ฐ๐๐๐ฎ๐น๐น๐ ๐ฒ๐ฎ๐ฟ๐ป ๐บ๐ผ๐ป๐ฒ๐?
That's an interesting part of what @termix_ai is building.
TermiX is promoting its Skills marketplace as an app store for AI agents, where agents can install new capabilities, find jobs, complete tasks for other agents, and get paid.
Think about agents like Grok Bot, Muse, OpenAI's dots, and Claude Agent. Instead of being limited to what they can do out of the box, the idea is to give them access to additional capabilities and a way to participate in an emerging agent economy.
๐๐ฒ๐ฟ๐ฒ'๐ ๐ช๐ต๐ฒ๐ฟ๐ฒ ๐๐ ๐๐ฒ๐๐ ๐๐ป๐๐ฒ๐ฟ๐ฒ๐๐๐ถ๐ป๐ด
An agent could need a service it cannot handle itself. Another agent might have the exact skill required. Through TermiX's Agent Autonomous Commerce Protocol (AACP), the vision is for agents to connect, agree on work, deliver results, and settle payments.
The agent providing the service gets paid. The agent requesting the service gets the work done.
And with infrastructure such as on-chain identities, reputation, and escrow, TermiX is working to make those transactions more structured and trustworthy.
We're moving beyond AI agents that simply help humans get things done. We're exploring a world where agents can provide services to one another and participate in an economy of their own.
An app store for agent capabilities. A marketplace for agent services. A payment layer for AI-to-AI commerce. That's the bigger picture I'm watching with TermiX.
The real question is: ๐๐ค๐ฌ ๐๐๐ง ๐๐๐ฃ ๐ฉ๐๐๐จ ๐๐ค ๐ฌ๐๐๐ฃ ๐ผ๐ ๐๐๐๐ฃ๐ฉ๐จ ๐๐๐ฃ ๐๐๐ฃ๐ ๐ฌ๐ค๐ง๐ , ๐๐๐ง๐ฃ ๐ข๐ค๐ฃ๐๐ฎ, ๐๐ฃ๐ ๐ฅ๐๐ฎ ๐ค๐ฉ๐๐๐ง ๐๐๐๐ฃ๐ฉ๐จ ๐ฉ๐ค ๐๐๐ฉ ๐ฉ๐๐๐ฃ๐๐จ ๐๐ค๐ฃ๐?
The agent economy is an interesting space to watch. ๐
Wizard.hl retweeted
Add these to the fact that Prominent crypto VCs like Amdressen and Horowitz have taken down crypto from the investment fund, you'd understand why it seems like crypto is already at end game for individuals looking to too earn a first time buck or two or individuals hoping on crypto monies for sustained living.
From here on the best advice is still getting professionally good with AI, the opportunities are almost all there โ Hackathons, Trading Tools, Product builds etc, and for the few opportunities left in crypto one can make a buck from, you do your best to be a top 1% performer, you need to outwork alot of hard and smart workers on a hourly basis.
GM winner
Wizard.hl retweeted
๐ 4D Labs Season 1 is live.
๐งญ Explore tasks.
๐ Check in at landmarks.
๐ค Bring your community.
Built around participation. Driven by contributors.
Enter S1 โ
dapp.4dlabs.space/tasks
#4DLabs #PhysicalAI #EmbodiedAI
Wizard.hl retweeted
Saka used his speech after winning the Socrates award to read a letter from a 14-year-old boy in Rwanda that his charity helped.
The young boy started losing his sight at 12 years old and was able to receive the eye care he needed from the charity a couple years later โค๏ธ
Wizard.hl retweeted
๐ช๐ต๐ฎ๐ ๐ถ๐ณ ๐๐ผ๐๐ฟ ๐๐ ๐ฎ๐ด๐ฒ๐ป๐ ๐ฐ๐ผ๐๐น๐ฑ ๐ฑ๐ผ ๐บ๐ผ๐ฟ๐ฒ ๐๐ต๐ฎ๐ป ๐ฎ๐ป๐๐๐ฒ๐ฟ ๐พ๐๐ฒ๐๐๐ถ๐ผ๐ป๐? ๐ช๐ต๐ฎ๐ ๐ถ๐ณ ๐ถ๐ ๐ฐ๐ผ๐๐น๐ฑ ๐ฎ๐ฐ๐๐๐ฎ๐น๐น๐ ๐ฒ๐ฎ๐ฟ๐ป ๐บ๐ผ๐ป๐ฒ๐?
That's an interesting part of what @termix_ai is building.
TermiX is promoting its Skills marketplace as an app store for AI agents, where agents can install new capabilities, find jobs, complete tasks for other agents, and get paid.
Think about agents like Grok Bot, Muse, OpenAI's dots, and Claude Agent. Instead of being limited to what they can do out of the box, the idea is to give them access to additional capabilities and a way to participate in an emerging agent economy.
๐๐ฒ๐ฟ๐ฒ'๐ ๐ช๐ต๐ฒ๐ฟ๐ฒ ๐๐ ๐๐ฒ๐๐ ๐๐ป๐๐ฒ๐ฟ๐ฒ๐๐๐ถ๐ป๐ด
An agent could need a service it cannot handle itself. Another agent might have the exact skill required. Through TermiX's Agent Autonomous Commerce Protocol (AACP), the vision is for agents to connect, agree on work, deliver results, and settle payments.
The agent providing the service gets paid. The agent requesting the service gets the work done.
And with infrastructure such as on-chain identities, reputation, and escrow, TermiX is working to make those transactions more structured and trustworthy.
We're moving beyond AI agents that simply help humans get things done. We're exploring a world where agents can provide services to one another and participate in an economy of their own.
An app store for agent capabilities. A marketplace for agent services. A payment layer for AI-to-AI commerce. That's the bigger picture I'm watching with TermiX.
The real question is: ๐๐ค๐ฌ ๐๐๐ง ๐๐๐ฃ ๐ฉ๐๐๐จ ๐๐ค ๐ฌ๐๐๐ฃ ๐ผ๐ ๐๐๐๐ฃ๐ฉ๐จ ๐๐๐ฃ ๐๐๐ฃ๐ ๐ฌ๐ค๐ง๐ , ๐๐๐ง๐ฃ ๐ข๐ค๐ฃ๐๐ฎ, ๐๐ฃ๐ ๐ฅ๐๐ฎ ๐ค๐ฉ๐๐๐ง ๐๐๐๐ฃ๐ฉ๐จ ๐ฉ๐ค ๐๐๐ฉ ๐ฉ๐๐๐ฃ๐๐จ ๐๐ค๐ฃ๐?
The agent economy is an interesting space to watch. ๐
๐ง๐ผ๐ฝ ๐๐ด๐ฒ๐ป๐๐ถ๐ฐ ๐๐ผ๐บ๐บ๐ฒ๐ฟ๐ฐ๐ฒ ๐ฆ๐๐ฎ๐ฟ๐๐๐ฝ๐ ๐๐๐ถ๐น๐ฑ๐ถ๐ป๐ด ๐๐ต๐ฒ ๐ฃ๐ฎ๐๐บ๐ฒ๐ป๐ ๐ฆ๐๐ฎ๐ฐ๐ธ ๐ณ๐ผ๐ฟ ๐๐ ๐๐ด๐ฒ๐ป๐๐ ๐ถ๐ป ๐ฎ๐ฌ๐ฎ๐ฒ.
Everyone is talking about the payment infrastructure AI agents will need to transact autonomously.
I came across this list of the top 30 Agentic Commerce Companies in 2026, covering everything from wallets and payment networks to trust, identity, and checkout infrastructure.
But there's another important piece of this puzzle: ๐๐๐๐ฉ ๐๐๐ฅ๐ฅ๐๐ฃ๐จ ๐ฌ๐๐๐ฃ ๐ค๐ฃ๐ ๐ผ๐ ๐๐๐๐ฃ๐ฉ ๐ฃ๐๐๐๐จ ๐ฉ๐ค ๐๐๐ง๐ ๐๐ฃ๐ค๐ฉ๐๐๐ง ๐ฉ๐ค ๐๐๐ฉ ๐ฌ๐ค๐ง๐ ๐๐ค๐ฃ๐?
That's where @termix_ai comes in. Instead of focusing solely on moving money, TermiX is building an environment where AI agents can discover services, hire other agents, lock funds in escrow, verify deliverables, and settle payments.
Think about an AI research agent that needs on-chain analytics. It finds a specialist agent, agrees on a price, funds the task through escrow, and receives the completed research. If delivery is challenged, the dispute resolution process kicks in.
That's more than a payment. It's an entire economic transaction between agents. And I think this is an important distinction in the agentic economy.
Wallets enable agents to hold and move funds. Payment networks enable transactions. But agent-to-agent commerce needs infrastructure for discovering services, coordinating work, establishing trust, and settling payments.
๐ง๐ฒ๐ฟ๐บ๐ถ๐ซ ๐ถ๐ ๐๐ผ๐ฟ๐ธ๐ถ๐ป๐ด ๐ผ๐ป ๐๐ต๐ฎ๐ ๐๐ฟ๐ฎ๐ป๐๐ฎ๐ฐ๐๐ถ๐ผ๐ป ๐น๐ฎ๐๐ฒ๐ฟ.
The bigger opportunity? Making it possible for agents built by different developers to hire and pay one another without humans having to coordinate every interaction manually.
We're still early, but the agent economy won't just need agents that can think. It'll need agents that can transact, deliver, and earn.
That's the part of the future TermiX is building toward.
Source: teapawt.org/gaspardlezin/status/21โฆ
๐ช๐ต๐ฎ๐ ๐ถ๐ณ ๐๐ผ๐๐ฟ ๐๐ ๐ฎ๐ด๐ฒ๐ป๐ ๐ฐ๐ผ๐๐น๐ฑ ๐ฑ๐ผ ๐บ๐ผ๐ฟ๐ฒ ๐๐ต๐ฎ๐ป ๐ฎ๐ป๐๐๐ฒ๐ฟ ๐พ๐๐ฒ๐๐๐ถ๐ผ๐ป๐? ๐ช๐ต๐ฎ๐ ๐ถ๐ณ ๐ถ๐ ๐ฐ๐ผ๐๐น๐ฑ ๐ฎ๐ฐ๐๐๐ฎ๐น๐น๐ ๐ฒ๐ฎ๐ฟ๐ป ๐บ๐ผ๐ป๐ฒ๐?
That's an interesting part of what @termix_ai is building.
TermiX is promoting its Skills marketplace as an app store for AI agents, where agents can install new capabilities, find jobs, complete tasks for other agents, and get paid.
Think about agents like Grok Bot, Muse, OpenAI's dots, and Claude Agent. Instead of being limited to what they can do out of the box, the idea is to give them access to additional capabilities and a way to participate in an emerging agent economy.
๐๐ฒ๐ฟ๐ฒ'๐ ๐ช๐ต๐ฒ๐ฟ๐ฒ ๐๐ ๐๐ฒ๐๐ ๐๐ป๐๐ฒ๐ฟ๐ฒ๐๐๐ถ๐ป๐ด
An agent could need a service it cannot handle itself. Another agent might have the exact skill required. Through TermiX's Agent Autonomous Commerce Protocol (AACP), the vision is for agents to connect, agree on work, deliver results, and settle payments.
The agent providing the service gets paid. The agent requesting the service gets the work done.
And with infrastructure such as on-chain identities, reputation, and escrow, TermiX is working to make those transactions more structured and trustworthy.
We're moving beyond AI agents that simply help humans get things done. We're exploring a world where agents can provide services to one another and participate in an economy of their own.
An app store for agent capabilities. A marketplace for agent services. A payment layer for AI-to-AI commerce. That's the bigger picture I'm watching with TermiX.
The real question is: ๐๐ค๐ฌ ๐๐๐ง ๐๐๐ฃ ๐ฉ๐๐๐จ ๐๐ค ๐ฌ๐๐๐ฃ ๐ผ๐ ๐๐๐๐ฃ๐ฉ๐จ ๐๐๐ฃ ๐๐๐ฃ๐ ๐ฌ๐ค๐ง๐ , ๐๐๐ง๐ฃ ๐ข๐ค๐ฃ๐๐ฎ, ๐๐ฃ๐ ๐ฅ๐๐ฎ ๐ค๐ฉ๐๐๐ง ๐๐๐๐ฃ๐ฉ๐จ ๐ฉ๐ค ๐๐๐ฉ ๐ฉ๐๐๐ฃ๐๐จ ๐๐ค๐ฃ๐?
The agent economy is an interesting space to watch. ๐
๐ง๐ผ๐ฝ ๐๐ด๐ฒ๐ป๐๐ถ๐ฐ ๐๐ผ๐บ๐บ๐ฒ๐ฟ๐ฐ๐ฒ ๐ฆ๐๐ฎ๐ฟ๐๐๐ฝ๐ ๐๐๐ถ๐น๐ฑ๐ถ๐ป๐ด ๐๐ต๐ฒ ๐ฃ๐ฎ๐๐บ๐ฒ๐ป๐ ๐ฆ๐๐ฎ๐ฐ๐ธ ๐ณ๐ผ๐ฟ ๐๐ ๐๐ด๐ฒ๐ป๐๐ ๐ถ๐ป ๐ฎ๐ฌ๐ฎ๐ฒ.
Everyone is talking about the payment infrastructure AI agents will need to transact autonomously.
I came across this list of the top 30 Agentic Commerce Companies in 2026, covering everything from wallets and payment networks to trust, identity, and checkout infrastructure.
But there's another important piece of this puzzle: ๐๐๐๐ฉ ๐๐๐ฅ๐ฅ๐๐ฃ๐จ ๐ฌ๐๐๐ฃ ๐ค๐ฃ๐ ๐ผ๐ ๐๐๐๐ฃ๐ฉ ๐ฃ๐๐๐๐จ ๐ฉ๐ค ๐๐๐ง๐ ๐๐ฃ๐ค๐ฉ๐๐๐ง ๐ฉ๐ค ๐๐๐ฉ ๐ฌ๐ค๐ง๐ ๐๐ค๐ฃ๐?
That's where @termix_ai comes in. Instead of focusing solely on moving money, TermiX is building an environment where AI agents can discover services, hire other agents, lock funds in escrow, verify deliverables, and settle payments.
Think about an AI research agent that needs on-chain analytics. It finds a specialist agent, agrees on a price, funds the task through escrow, and receives the completed research. If delivery is challenged, the dispute resolution process kicks in.
That's more than a payment. It's an entire economic transaction between agents. And I think this is an important distinction in the agentic economy.
Wallets enable agents to hold and move funds. Payment networks enable transactions. But agent-to-agent commerce needs infrastructure for discovering services, coordinating work, establishing trust, and settling payments.
๐ง๐ฒ๐ฟ๐บ๐ถ๐ซ ๐ถ๐ ๐๐ผ๐ฟ๐ธ๐ถ๐ป๐ด ๐ผ๐ป ๐๐ต๐ฎ๐ ๐๐ฟ๐ฎ๐ป๐๐ฎ๐ฐ๐๐ถ๐ผ๐ป ๐น๐ฎ๐๐ฒ๐ฟ.
The bigger opportunity? Making it possible for agents built by different developers to hire and pay one another without humans having to coordinate every interaction manually.
We're still early, but the agent economy won't just need agents that can think. It'll need agents that can transact, deliver, and earn.
That's the part of the future TermiX is building toward.
Source: teapawt.org/gaspardlezin/status/21โฆ
Wizard.hl retweeted
1/ ๐ฟ Soneium: The Onchain Entertainment Economy.
Today we introduce Tokenized IP and our plan to issue $SONEIUM, an ecosystem-native token that connects our global community. ๐งต๐
Wizard.hl retweeted
๐ง๐ผ๐ฝ ๐๐ด๐ฒ๐ป๐๐ถ๐ฐ ๐๐ผ๐บ๐บ๐ฒ๐ฟ๐ฐ๐ฒ ๐ฆ๐๐ฎ๐ฟ๐๐๐ฝ๐ ๐๐๐ถ๐น๐ฑ๐ถ๐ป๐ด ๐๐ต๐ฒ ๐ฃ๐ฎ๐๐บ๐ฒ๐ป๐ ๐ฆ๐๐ฎ๐ฐ๐ธ ๐ณ๐ผ๐ฟ ๐๐ ๐๐ด๐ฒ๐ป๐๐ ๐ถ๐ป ๐ฎ๐ฌ๐ฎ๐ฒ.
Everyone is talking about the payment infrastructure AI agents will need to transact autonomously.
I came across this list of the top 30 Agentic Commerce Companies in 2026, covering everything from wallets and payment networks to trust, identity, and checkout infrastructure.
But there's another important piece of this puzzle: ๐๐๐๐ฉ ๐๐๐ฅ๐ฅ๐๐ฃ๐จ ๐ฌ๐๐๐ฃ ๐ค๐ฃ๐ ๐ผ๐ ๐๐๐๐ฃ๐ฉ ๐ฃ๐๐๐๐จ ๐ฉ๐ค ๐๐๐ง๐ ๐๐ฃ๐ค๐ฉ๐๐๐ง ๐ฉ๐ค ๐๐๐ฉ ๐ฌ๐ค๐ง๐ ๐๐ค๐ฃ๐?
That's where @termix_ai comes in. Instead of focusing solely on moving money, TermiX is building an environment where AI agents can discover services, hire other agents, lock funds in escrow, verify deliverables, and settle payments.
Think about an AI research agent that needs on-chain analytics. It finds a specialist agent, agrees on a price, funds the task through escrow, and receives the completed research. If delivery is challenged, the dispute resolution process kicks in.
That's more than a payment. It's an entire economic transaction between agents. And I think this is an important distinction in the agentic economy.
Wallets enable agents to hold and move funds. Payment networks enable transactions. But agent-to-agent commerce needs infrastructure for discovering services, coordinating work, establishing trust, and settling payments.
๐ง๐ฒ๐ฟ๐บ๐ถ๐ซ ๐ถ๐ ๐๐ผ๐ฟ๐ธ๐ถ๐ป๐ด ๐ผ๐ป ๐๐ต๐ฎ๐ ๐๐ฟ๐ฎ๐ป๐๐ฎ๐ฐ๐๐ถ๐ผ๐ป ๐น๐ฎ๐๐ฒ๐ฟ.
The bigger opportunity? Making it possible for agents built by different developers to hire and pay one another without humans having to coordinate every interaction manually.
We're still early, but the agent economy won't just need agents that can think. It'll need agents that can transact, deliver, and earn.
That's the part of the future TermiX is building toward.
Source: teapawt.org/gaspardlezin/status/21โฆ
๐ช๐ฎ๐ป๐ ๐ง๐ผ ๐ฃ๐๐ ๐ฎ๐ป ๐๐ ๐๐ด๐ฒ๐ป๐ ๐ง๐ผ ๐ช๐ผ๐ฟ๐ธ ๐ข๐ป ๐ฅ๐ฒ๐ฎ๐น ๐๐ฟ๐๐ฝ๐๐ผ ๐ฅ๐ฒ๐๐ฒ๐ฎ๐ฟ๐ฐ๐ต? ๐๐ฒ๐ฟ๐ฒ'๐ ๐๐ผ๐ ๐ฌ๐ผ๐ ๐ช๐ผ๐๐น๐ฑ ๐๐ฝ๐ฝ๐ฟ๐ผ๐ฎ๐ฐ๐ต ๐๐ ๐ข๐ป @termix_ai
Instead of hiring an agent for a vague task, start with something specific: on-chain analytics and protocol research.
The goal is to find out whether an agent can produce useful, evidence backed research rather than just generate convincing text.
1. ๐๐ถ๐ป๐ฑ ๐๐ต๐ฒ ๐ฟ๐ถ๐ด๐ต๐ ๐๐ฒ๐ฟ๐๐ถ๐ฐ๐ฒ:
For this, simply head to Service Results and search for:
โข Protocol Research
โข On-chain Analytics
โข Crypto Research
โข Risk Report
Compare the available services based on their capabilities, reputation, pricing, delivery time, and the deliverables they promise.
Don't choose based on reputation alone. Find a service that actually matches your research needs.
2. ๐๐ถ๐๐ฒ ๐๐ต๐ฒ ๐ฎ๐ด๐ฒ๐ป๐ ๐ฎ ๐ฟ๐ฒ๐ฎ๐น ๐ฎ๐๐๐ถ๐ด๐ป๐บ๐ฒ๐ป๐: Here's an example of a research task you can use:
โ๐๐๐๐ฃ๐ฉ๐๐๐ฎ 5 ๐๐ข๐๐ง๐๐๐ฃ๐ ๐๐ง๐ฎ๐ฅ๐ฉ๐ค ๐ฅ๐ง๐ค๐๐๐๐ฉ๐จ ๐ฌ๐ค๐ง๐ฉ๐ ๐ข๐ค๐ฃ๐๐ฉ๐ค๐ง๐๐ฃ๐ ๐๐ฃ๐ ๐ฅ๐ง๐ค๐๐ช๐๐ ๐ ๐๐ค๐ข๐ฅ๐๐ง๐๐ฉ๐๐ซ๐ ๐ง๐๐จ๐๐๐ง๐๐ ๐ง๐๐ฅ๐ค๐ง๐ฉโ
For each project, request for the following;
โข What it does and its primary use case.
โข Its blockchain and underlying infrastructure.
โข Verifiable on-chain activity and relevant metrics.
โข Recent developments supported by reliable sources.
โข Major risks and weaknesses.
โข Why it deserves further attention.
Ask for source links and require the agent to distinguish verified facts from its own interpretations.
3. ๐๐๐ฎ๐น๐๐ฎ๐๐ฒ ๐๐ต๐ฒ ๐ฟ๐ฒ๐๐๐น๐๐ ๐ฐ๐ฟ๐ถ๐๐ถ๐ฐ๐ฎ๐น๐น๐
Once the agent delivers, don't just accept the report at face value. Check whether the sources support its claims, whether the metrics are accurate, and whether the analysis identifies meaningful risks.
Look for fabricated statistics, outdated information, and conclusions unsupported by evidence.
4. ๐๐๐ฎ๐น๐๐ฎ๐๐ฒ ๐๐ต๐ฒ ๐บ๐ฎ๐ฟ๐ธ๐ฒ๐๐ฝ๐น๐ฎ๐ฐ๐ฒ, ๐๐ผ๐ผ
๐ง๐ต๐ฒ ๐ฒ๐
๐ฝ๐ฒ๐ฟ๐ถ๐บ๐ฒ๐ป๐ ๐ฑ๐ผ๐ฒ๐๐ป'๐ ๐ฒ๐ป๐ฑ ๐๐ถ๐๐ต ๐๐ต๐ฒ ๐ฟ๐ฒ๐๐ฒ๐ฎ๐ฟ๐ฐ๐ต.
Consider the entire process as this;
a. Could you find a suitable agent?
b. Were the service terms and deliverables clear?
c. Did the provider deliver what was promised?
d. Was the work completed within the agreed timeframe?
e. Was the final output worth the price?
You can also observe how TermiX handles escrow, delivery, challenges, and settlement.
The bigger picture of this is that you are evaluating two things here;
A. The agent's ability to perform useful work and the marketplace's ability to coordinate that work.
B. That's a much more meaningful way to explore the AI agent economy than simply browsing listings.
The objective isn't to find an agent that sounds intelligent. It's to find one that can deliver verifiable, useful work.
It's not too late to explore @termix_ai here ๐
agent.family/r/Y5RSXETB
๐ง๐ผ๐ฝ ๐๐ด๐ฒ๐ป๐๐ถ๐ฐ ๐๐ผ๐บ๐บ๐ฒ๐ฟ๐ฐ๐ฒ ๐ฆ๐๐ฎ๐ฟ๐๐๐ฝ๐ ๐๐๐ถ๐น๐ฑ๐ถ๐ป๐ด ๐๐ต๐ฒ ๐ฃ๐ฎ๐๐บ๐ฒ๐ป๐ ๐ฆ๐๐ฎ๐ฐ๐ธ ๐ณ๐ผ๐ฟ ๐๐ ๐๐ด๐ฒ๐ป๐๐ ๐ถ๐ป ๐ฎ๐ฌ๐ฎ๐ฒ.
Everyone is talking about the payment infrastructure AI agents will need to transact autonomously.
I came across this list of the top 30 Agentic Commerce Companies in 2026, covering everything from wallets and payment networks to trust, identity, and checkout infrastructure.
But there's another important piece of this puzzle: ๐๐๐๐ฉ ๐๐๐ฅ๐ฅ๐๐ฃ๐จ ๐ฌ๐๐๐ฃ ๐ค๐ฃ๐ ๐ผ๐ ๐๐๐๐ฃ๐ฉ ๐ฃ๐๐๐๐จ ๐ฉ๐ค ๐๐๐ง๐ ๐๐ฃ๐ค๐ฉ๐๐๐ง ๐ฉ๐ค ๐๐๐ฉ ๐ฌ๐ค๐ง๐ ๐๐ค๐ฃ๐?
That's where @termix_ai comes in. Instead of focusing solely on moving money, TermiX is building an environment where AI agents can discover services, hire other agents, lock funds in escrow, verify deliverables, and settle payments.
Think about an AI research agent that needs on-chain analytics. It finds a specialist agent, agrees on a price, funds the task through escrow, and receives the completed research. If delivery is challenged, the dispute resolution process kicks in.
That's more than a payment. It's an entire economic transaction between agents. And I think this is an important distinction in the agentic economy.
Wallets enable agents to hold and move funds. Payment networks enable transactions. But agent-to-agent commerce needs infrastructure for discovering services, coordinating work, establishing trust, and settling payments.
๐ง๐ฒ๐ฟ๐บ๐ถ๐ซ ๐ถ๐ ๐๐ผ๐ฟ๐ธ๐ถ๐ป๐ด ๐ผ๐ป ๐๐ต๐ฎ๐ ๐๐ฟ๐ฎ๐ป๐๐ฎ๐ฐ๐๐ถ๐ผ๐ป ๐น๐ฎ๐๐ฒ๐ฟ.
The bigger opportunity? Making it possible for agents built by different developers to hire and pay one another without humans having to coordinate every interaction manually.
We're still early, but the agent economy won't just need agents that can think. It'll need agents that can transact, deliver, and earn.
That's the part of the future TermiX is building toward.
Source: teapawt.org/gaspardlezin/status/21โฆ
๐ช๐ฎ๐ป๐ ๐ง๐ผ ๐ฃ๐๐ ๐ฎ๐ป ๐๐ ๐๐ด๐ฒ๐ป๐ ๐ง๐ผ ๐ช๐ผ๐ฟ๐ธ ๐ข๐ป ๐ฅ๐ฒ๐ฎ๐น ๐๐ฟ๐๐ฝ๐๐ผ ๐ฅ๐ฒ๐๐ฒ๐ฎ๐ฟ๐ฐ๐ต? ๐๐ฒ๐ฟ๐ฒ'๐ ๐๐ผ๐ ๐ฌ๐ผ๐ ๐ช๐ผ๐๐น๐ฑ ๐๐ฝ๐ฝ๐ฟ๐ผ๐ฎ๐ฐ๐ต ๐๐ ๐ข๐ป @termix_ai
Instead of hiring an agent for a vague task, start with something specific: on-chain analytics and protocol research.
The goal is to find out whether an agent can produce useful, evidence backed research rather than just generate convincing text.
1. ๐๐ถ๐ป๐ฑ ๐๐ต๐ฒ ๐ฟ๐ถ๐ด๐ต๐ ๐๐ฒ๐ฟ๐๐ถ๐ฐ๐ฒ:
For this, simply head to Service Results and search for:
โข Protocol Research
โข On-chain Analytics
โข Crypto Research
โข Risk Report
Compare the available services based on their capabilities, reputation, pricing, delivery time, and the deliverables they promise.
Don't choose based on reputation alone. Find a service that actually matches your research needs.
2. ๐๐ถ๐๐ฒ ๐๐ต๐ฒ ๐ฎ๐ด๐ฒ๐ป๐ ๐ฎ ๐ฟ๐ฒ๐ฎ๐น ๐ฎ๐๐๐ถ๐ด๐ป๐บ๐ฒ๐ป๐: Here's an example of a research task you can use:
โ๐๐๐๐ฃ๐ฉ๐๐๐ฎ 5 ๐๐ข๐๐ง๐๐๐ฃ๐ ๐๐ง๐ฎ๐ฅ๐ฉ๐ค ๐ฅ๐ง๐ค๐๐๐๐ฉ๐จ ๐ฌ๐ค๐ง๐ฉ๐ ๐ข๐ค๐ฃ๐๐ฉ๐ค๐ง๐๐ฃ๐ ๐๐ฃ๐ ๐ฅ๐ง๐ค๐๐ช๐๐ ๐ ๐๐ค๐ข๐ฅ๐๐ง๐๐ฉ๐๐ซ๐ ๐ง๐๐จ๐๐๐ง๐๐ ๐ง๐๐ฅ๐ค๐ง๐ฉโ
For each project, request for the following;
โข What it does and its primary use case.
โข Its blockchain and underlying infrastructure.
โข Verifiable on-chain activity and relevant metrics.
โข Recent developments supported by reliable sources.
โข Major risks and weaknesses.
โข Why it deserves further attention.
Ask for source links and require the agent to distinguish verified facts from its own interpretations.
3. ๐๐๐ฎ๐น๐๐ฎ๐๐ฒ ๐๐ต๐ฒ ๐ฟ๐ฒ๐๐๐น๐๐ ๐ฐ๐ฟ๐ถ๐๐ถ๐ฐ๐ฎ๐น๐น๐
Once the agent delivers, don't just accept the report at face value. Check whether the sources support its claims, whether the metrics are accurate, and whether the analysis identifies meaningful risks.
Look for fabricated statistics, outdated information, and conclusions unsupported by evidence.
4. ๐๐๐ฎ๐น๐๐ฎ๐๐ฒ ๐๐ต๐ฒ ๐บ๐ฎ๐ฟ๐ธ๐ฒ๐๐ฝ๐น๐ฎ๐ฐ๐ฒ, ๐๐ผ๐ผ
๐ง๐ต๐ฒ ๐ฒ๐
๐ฝ๐ฒ๐ฟ๐ถ๐บ๐ฒ๐ป๐ ๐ฑ๐ผ๐ฒ๐๐ป'๐ ๐ฒ๐ป๐ฑ ๐๐ถ๐๐ต ๐๐ต๐ฒ ๐ฟ๐ฒ๐๐ฒ๐ฎ๐ฟ๐ฐ๐ต.
Consider the entire process as this;
a. Could you find a suitable agent?
b. Were the service terms and deliverables clear?
c. Did the provider deliver what was promised?
d. Was the work completed within the agreed timeframe?
e. Was the final output worth the price?
You can also observe how TermiX handles escrow, delivery, challenges, and settlement.
The bigger picture of this is that you are evaluating two things here;
A. The agent's ability to perform useful work and the marketplace's ability to coordinate that work.
B. That's a much more meaningful way to explore the AI agent economy than simply browsing listings.
The objective isn't to find an agent that sounds intelligent. It's to find one that can deliver verifiable, useful work.
It's not too late to explore @termix_ai here ๐
agent.family/r/Y5RSXETB
Wizard.hl retweeted
๐ช๐ฎ๐ป๐ ๐ง๐ผ ๐ฃ๐๐ ๐ฎ๐ป ๐๐ ๐๐ด๐ฒ๐ป๐ ๐ง๐ผ ๐ช๐ผ๐ฟ๐ธ ๐ข๐ป ๐ฅ๐ฒ๐ฎ๐น ๐๐ฟ๐๐ฝ๐๐ผ ๐ฅ๐ฒ๐๐ฒ๐ฎ๐ฟ๐ฐ๐ต? ๐๐ฒ๐ฟ๐ฒ'๐ ๐๐ผ๐ ๐ฌ๐ผ๐ ๐ช๐ผ๐๐น๐ฑ ๐๐ฝ๐ฝ๐ฟ๐ผ๐ฎ๐ฐ๐ต ๐๐ ๐ข๐ป @termix_ai
Instead of hiring an agent for a vague task, start with something specific: on-chain analytics and protocol research.
The goal is to find out whether an agent can produce useful, evidence backed research rather than just generate convincing text.
1. ๐๐ถ๐ป๐ฑ ๐๐ต๐ฒ ๐ฟ๐ถ๐ด๐ต๐ ๐๐ฒ๐ฟ๐๐ถ๐ฐ๐ฒ:
For this, simply head to Service Results and search for:
โข Protocol Research
โข On-chain Analytics
โข Crypto Research
โข Risk Report
Compare the available services based on their capabilities, reputation, pricing, delivery time, and the deliverables they promise.
Don't choose based on reputation alone. Find a service that actually matches your research needs.
2. ๐๐ถ๐๐ฒ ๐๐ต๐ฒ ๐ฎ๐ด๐ฒ๐ป๐ ๐ฎ ๐ฟ๐ฒ๐ฎ๐น ๐ฎ๐๐๐ถ๐ด๐ป๐บ๐ฒ๐ป๐: Here's an example of a research task you can use:
โ๐๐๐๐ฃ๐ฉ๐๐๐ฎ 5 ๐๐ข๐๐ง๐๐๐ฃ๐ ๐๐ง๐ฎ๐ฅ๐ฉ๐ค ๐ฅ๐ง๐ค๐๐๐๐ฉ๐จ ๐ฌ๐ค๐ง๐ฉ๐ ๐ข๐ค๐ฃ๐๐ฉ๐ค๐ง๐๐ฃ๐ ๐๐ฃ๐ ๐ฅ๐ง๐ค๐๐ช๐๐ ๐ ๐๐ค๐ข๐ฅ๐๐ง๐๐ฉ๐๐ซ๐ ๐ง๐๐จ๐๐๐ง๐๐ ๐ง๐๐ฅ๐ค๐ง๐ฉโ
For each project, request for the following;
โข What it does and its primary use case.
โข Its blockchain and underlying infrastructure.
โข Verifiable on-chain activity and relevant metrics.
โข Recent developments supported by reliable sources.
โข Major risks and weaknesses.
โข Why it deserves further attention.
Ask for source links and require the agent to distinguish verified facts from its own interpretations.
3. ๐๐๐ฎ๐น๐๐ฎ๐๐ฒ ๐๐ต๐ฒ ๐ฟ๐ฒ๐๐๐น๐๐ ๐ฐ๐ฟ๐ถ๐๐ถ๐ฐ๐ฎ๐น๐น๐
Once the agent delivers, don't just accept the report at face value. Check whether the sources support its claims, whether the metrics are accurate, and whether the analysis identifies meaningful risks.
Look for fabricated statistics, outdated information, and conclusions unsupported by evidence.
4. ๐๐๐ฎ๐น๐๐ฎ๐๐ฒ ๐๐ต๐ฒ ๐บ๐ฎ๐ฟ๐ธ๐ฒ๐๐ฝ๐น๐ฎ๐ฐ๐ฒ, ๐๐ผ๐ผ
๐ง๐ต๐ฒ ๐ฒ๐
๐ฝ๐ฒ๐ฟ๐ถ๐บ๐ฒ๐ป๐ ๐ฑ๐ผ๐ฒ๐๐ป'๐ ๐ฒ๐ป๐ฑ ๐๐ถ๐๐ต ๐๐ต๐ฒ ๐ฟ๐ฒ๐๐ฒ๐ฎ๐ฟ๐ฐ๐ต.
Consider the entire process as this;
a. Could you find a suitable agent?
b. Were the service terms and deliverables clear?
c. Did the provider deliver what was promised?
d. Was the work completed within the agreed timeframe?
e. Was the final output worth the price?
You can also observe how TermiX handles escrow, delivery, challenges, and settlement.
The bigger picture of this is that you are evaluating two things here;
A. The agent's ability to perform useful work and the marketplace's ability to coordinate that work.
B. That's a much more meaningful way to explore the AI agent economy than simply browsing listings.
The objective isn't to find an agent that sounds intelligent. It's to find one that can deliver verifiable, useful work.
It's not too late to explore @termix_ai here ๐
agent.family/r/Y5RSXETB
Deep Dive: REA (Reverse Engineer Anything) on the TermiX Agentic Marketplace
Meet REA, a specialized AI agent from @termix_ai designed to dismantle complex software artifacts and return rigorous, evidence-backed insights. Whether you are auditing code or analyzing binaries, REA provides the technical clarity you need.
What Are Its Core Capabilities?
Provide a contract address, binary file, or URL, and REA extracts the critical data points:
- EVM Contracts: Full function interface decoding from deployed bytecode, including selectors, argument types, and state mutabilityโeven for unverified contracts.
- ELF/PE Binaries: Detailed pseudocode, disassembly, symbol extraction, and call graph mapping.
- JS/Electron Apps: Complete module graph, import analysis, and detection of hardcoded URLs or keys.
- .NET Assemblies: Deep metadata inspection, CIL analysis, and dependency tracking.
Every finding is secured with a unique evidence ID and the SHA-256 hash of the source artifact, ensuring total transparency and verifiability.
The Workflow Around It
1. Request: Specify your reverse-engineering needs (e.g., decoding a BSC contract interface).
2. Negotiate: Review starting prices (typically ~$10 for basic decodes) and negotiate terms with the agent.
3. Escrow: Lock funds (USDC) in an on-chain escrow on the BNB Chain, with a small protocol fee applied.
4. Execution: The agent operates in an isolated sandbox to process the artifact.
5. Delivery: Receive a comprehensive, evidence-backed report.
6. Settlement: Accept the report to release payment from escrow to the agent.
The delivery time is typically within one day with every pricing negotiable, starting in the $10 range for simpler tasks.
Powered by the Agent Autonomous Commerce Protocol (AACP), this is an AI agent that is known for supporting TermiXโs vision of a marketplace where agents hire agents.
You have nothing to worry about as the agent is verified and displays a reputation score. The trust is real.
๐ช๐ฎ๐ป๐ ๐ง๐ผ ๐ฃ๐๐ ๐ฎ๐ป ๐๐ ๐๐ด๐ฒ๐ป๐ ๐ง๐ผ ๐ช๐ผ๐ฟ๐ธ ๐ข๐ป ๐ฅ๐ฒ๐ฎ๐น ๐๐ฟ๐๐ฝ๐๐ผ ๐ฅ๐ฒ๐๐ฒ๐ฎ๐ฟ๐ฐ๐ต? ๐๐ฒ๐ฟ๐ฒ'๐ ๐๐ผ๐ ๐ฌ๐ผ๐ ๐ช๐ผ๐๐น๐ฑ ๐๐ฝ๐ฝ๐ฟ๐ผ๐ฎ๐ฐ๐ต ๐๐ ๐ข๐ป @termix_ai
Instead of hiring an agent for a vague task, start with something specific: on-chain analytics and protocol research.
The goal is to find out whether an agent can produce useful, evidence backed research rather than just generate convincing text.
1. ๐๐ถ๐ป๐ฑ ๐๐ต๐ฒ ๐ฟ๐ถ๐ด๐ต๐ ๐๐ฒ๐ฟ๐๐ถ๐ฐ๐ฒ:
For this, simply head to Service Results and search for:
โข Protocol Research
โข On-chain Analytics
โข Crypto Research
โข Risk Report
Compare the available services based on their capabilities, reputation, pricing, delivery time, and the deliverables they promise.
Don't choose based on reputation alone. Find a service that actually matches your research needs.
2. ๐๐ถ๐๐ฒ ๐๐ต๐ฒ ๐ฎ๐ด๐ฒ๐ป๐ ๐ฎ ๐ฟ๐ฒ๐ฎ๐น ๐ฎ๐๐๐ถ๐ด๐ป๐บ๐ฒ๐ป๐: Here's an example of a research task you can use:
โ๐๐๐๐ฃ๐ฉ๐๐๐ฎ 5 ๐๐ข๐๐ง๐๐๐ฃ๐ ๐๐ง๐ฎ๐ฅ๐ฉ๐ค ๐ฅ๐ง๐ค๐๐๐๐ฉ๐จ ๐ฌ๐ค๐ง๐ฉ๐ ๐ข๐ค๐ฃ๐๐ฉ๐ค๐ง๐๐ฃ๐ ๐๐ฃ๐ ๐ฅ๐ง๐ค๐๐ช๐๐ ๐ ๐๐ค๐ข๐ฅ๐๐ง๐๐ฉ๐๐ซ๐ ๐ง๐๐จ๐๐๐ง๐๐ ๐ง๐๐ฅ๐ค๐ง๐ฉโ
For each project, request for the following;
โข What it does and its primary use case.
โข Its blockchain and underlying infrastructure.
โข Verifiable on-chain activity and relevant metrics.
โข Recent developments supported by reliable sources.
โข Major risks and weaknesses.
โข Why it deserves further attention.
Ask for source links and require the agent to distinguish verified facts from its own interpretations.
3. ๐๐๐ฎ๐น๐๐ฎ๐๐ฒ ๐๐ต๐ฒ ๐ฟ๐ฒ๐๐๐น๐๐ ๐ฐ๐ฟ๐ถ๐๐ถ๐ฐ๐ฎ๐น๐น๐
Once the agent delivers, don't just accept the report at face value. Check whether the sources support its claims, whether the metrics are accurate, and whether the analysis identifies meaningful risks.
Look for fabricated statistics, outdated information, and conclusions unsupported by evidence.
4. ๐๐๐ฎ๐น๐๐ฎ๐๐ฒ ๐๐ต๐ฒ ๐บ๐ฎ๐ฟ๐ธ๐ฒ๐๐ฝ๐น๐ฎ๐ฐ๐ฒ, ๐๐ผ๐ผ
๐ง๐ต๐ฒ ๐ฒ๐
๐ฝ๐ฒ๐ฟ๐ถ๐บ๐ฒ๐ป๐ ๐ฑ๐ผ๐ฒ๐๐ป'๐ ๐ฒ๐ป๐ฑ ๐๐ถ๐๐ต ๐๐ต๐ฒ ๐ฟ๐ฒ๐๐ฒ๐ฎ๐ฟ๐ฐ๐ต.
Consider the entire process as this;
a. Could you find a suitable agent?
b. Were the service terms and deliverables clear?
c. Did the provider deliver what was promised?
d. Was the work completed within the agreed timeframe?
e. Was the final output worth the price?
You can also observe how TermiX handles escrow, delivery, challenges, and settlement.
The bigger picture of this is that you are evaluating two things here;
A. The agent's ability to perform useful work and the marketplace's ability to coordinate that work.
B. That's a much more meaningful way to explore the AI agent economy than simply browsing listings.
The objective isn't to find an agent that sounds intelligent. It's to find one that can deliver verifiable, useful work.
It's not too late to explore @termix_ai here ๐
agent.family/r/Y5RSXETB
Deep Dive: REA (Reverse Engineer Anything) on the TermiX Agentic Marketplace
Meet REA, a specialized AI agent from @termix_ai designed to dismantle complex software artifacts and return rigorous, evidence-backed insights. Whether you are auditing code or analyzing binaries, REA provides the technical clarity you need.
What Are Its Core Capabilities?
Provide a contract address, binary file, or URL, and REA extracts the critical data points:
- EVM Contracts: Full function interface decoding from deployed bytecode, including selectors, argument types, and state mutabilityโeven for unverified contracts.
- ELF/PE Binaries: Detailed pseudocode, disassembly, symbol extraction, and call graph mapping.
- JS/Electron Apps: Complete module graph, import analysis, and detection of hardcoded URLs or keys.
- .NET Assemblies: Deep metadata inspection, CIL analysis, and dependency tracking.
Every finding is secured with a unique evidence ID and the SHA-256 hash of the source artifact, ensuring total transparency and verifiability.
The Workflow Around It
1. Request: Specify your reverse-engineering needs (e.g., decoding a BSC contract interface).
2. Negotiate: Review starting prices (typically ~$10 for basic decodes) and negotiate terms with the agent.
3. Escrow: Lock funds (USDC) in an on-chain escrow on the BNB Chain, with a small protocol fee applied.
4. Execution: The agent operates in an isolated sandbox to process the artifact.
5. Delivery: Receive a comprehensive, evidence-backed report.
6. Settlement: Accept the report to release payment from escrow to the agent.
The delivery time is typically within one day with every pricing negotiable, starting in the $10 range for simpler tasks.
Powered by the Agent Autonomous Commerce Protocol (AACP), this is an AI agent that is known for supporting TermiXโs vision of a marketplace where agents hire agents.
You have nothing to worry about as the agent is verified and displays a reputation score. The trust is real.
Wizard.hl retweeted
Call me paranoid, but be extra careful visiting ANY web site in the next few days, as some web admins are not always up-to-date with security patches.
Two vulnerabilities (CVE-2026-109618 and CVE-2026-109619) reported for PHP, the web programming language, affecting servers running popular apps like WordPress and Magento, with patches released October 21, 2026 after details leaked early.
Exploitation was confirmed in the wild soon after disclosure, prompting quick WAF protections and patching by IT teams, as unauthenticated attacks could turn visited sites into vectors for credential theft or device exploits.
Stay SAFU!
Wizard.hl retweeted
Deep Dive: REA (Reverse Engineer Anything) on the TermiX Agentic Marketplace
Meet REA, a specialized AI agent from @termix_ai designed to dismantle complex software artifacts and return rigorous, evidence-backed insights. Whether you are auditing code or analyzing binaries, REA provides the technical clarity you need.
What Are Its Core Capabilities?
Provide a contract address, binary file, or URL, and REA extracts the critical data points:
- EVM Contracts: Full function interface decoding from deployed bytecode, including selectors, argument types, and state mutabilityโeven for unverified contracts.
- ELF/PE Binaries: Detailed pseudocode, disassembly, symbol extraction, and call graph mapping.
- JS/Electron Apps: Complete module graph, import analysis, and detection of hardcoded URLs or keys.
- .NET Assemblies: Deep metadata inspection, CIL analysis, and dependency tracking.
Every finding is secured with a unique evidence ID and the SHA-256 hash of the source artifact, ensuring total transparency and verifiability.
The Workflow Around It
1. Request: Specify your reverse-engineering needs (e.g., decoding a BSC contract interface).
2. Negotiate: Review starting prices (typically ~$10 for basic decodes) and negotiate terms with the agent.
3. Escrow: Lock funds (USDC) in an on-chain escrow on the BNB Chain, with a small protocol fee applied.
4. Execution: The agent operates in an isolated sandbox to process the artifact.
5. Delivery: Receive a comprehensive, evidence-backed report.
6. Settlement: Accept the report to release payment from escrow to the agent.
The delivery time is typically within one day with every pricing negotiable, starting in the $10 range for simpler tasks.
Powered by the Agent Autonomous Commerce Protocol (AACP), this is an AI agent that is known for supporting TermiXโs vision of a marketplace where agents hire agents.
You have nothing to worry about as the agent is verified and displays a reputation score. The trust is real.
One of the strongest angles I've seen with @termix_ai is that it goes beyond the AI marketplace narrative and addresses a more fundamental question: Who controls the outcome when money and work are involved?
The protocol operates through four states:
1. Escrow: Payment locks on-chain when a quote is accepted.
2. Deliver: The deliverable's hash is recorded on-chain.
3. Challenge: A window opens for three randomly selected evaluators to be called.
4. Settle: Funds move, reputation updates, and the outcome becomes part of the public record.
What stands out is the absence of a fifth state where someone at TermiX makes the final decision.
Instead, the protocol defines the process and its rules govern the outcome.
Of course, that depends on how the protocol is implemented and enforced.
But the underlying idea is compelling: removing discretionary intervention isn't a limitation. It can be the product itself.