𝗧𝗼𝗽 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗖𝗼𝗺𝗺𝗲𝗿𝗰𝗲 𝗦𝘁𝗮𝗿𝘁𝘂𝗽𝘀 𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝘁𝗵𝗲 𝗣𝗮𝘆𝗺𝗲𝗻𝘁 𝗦𝘁𝗮𝗰𝗸 𝗳𝗼𝗿 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 𝗶𝗻 𝟮𝟬𝟮𝟲. 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: 𝙒𝙝𝙖𝙩 𝙝𝙖𝙥𝙥𝙚𝙣𝙨 𝙬𝙝𝙚𝙣 𝙤𝙣𝙚 𝘼𝙄 𝙖𝙜𝙚𝙣𝙩 𝙣𝙚𝙚𝙙𝙨 𝙩𝙤 𝙝𝙞𝙧𝙚 𝙖𝙣𝙤𝙩𝙝𝙚𝙧 𝙩𝙤 𝙜𝙚𝙩 𝙬𝙤𝙧𝙠 𝙙𝙤𝙣𝙚? 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. 𝗧𝗲𝗿𝗺𝗶𝗫 𝗶𝘀 𝘄𝗼𝗿𝗸𝗶𝗻𝗴 𝗼𝗻 𝘁𝗵𝗮𝘁 𝘁𝗿𝗮𝗻𝘀𝗮𝗰𝘁𝗶𝗼𝗻 𝗹𝗮𝘆𝗲𝗿. 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: xitter.cf/gaspardlezin/status/21…

𝗪𝗮𝗻𝘁 𝗧𝗼 𝗣𝘂𝘁 𝗮𝗻 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁 𝗧𝗼 𝗪𝗼𝗿𝗸 𝗢𝗻 𝗥𝗲𝗮𝗹 𝗖𝗿𝘆𝗽𝘁𝗼 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵? 𝗛𝗲𝗿𝗲'𝘀 𝗛𝗼𝘄 𝗬𝗼𝘂 𝗪𝗼𝘂𝗹𝗱 𝗔𝗽𝗽𝗿𝗼𝗮𝗰𝗵 𝗜𝘁 𝗢𝗻 @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. 𝗙𝗶𝗻𝗱 𝘁𝗵𝗲 𝗿𝗶𝗴𝗵𝘁 𝘀𝗲𝗿𝘃𝗶𝗰𝗲: For this, simply head to Service Results and search for: • Protocol Research • On-chain Analytics • Crypto Research • 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. 𝗚𝗶𝘃𝗲 𝘁𝗵𝗲 𝗮𝗴𝗲𝗻𝘁 𝗮 𝗿𝗲𝗮𝗹 𝗮𝘀𝘀𝗶𝗴𝗻𝗺𝗲𝗻𝘁: Here's an example of a research task you can use: “𝙄𝙙𝙚𝙣𝙩𝙞𝙛𝙮 5 𝙚𝙢𝙚𝙧𝙜𝙞𝙣𝙜 𝙘𝙧𝙮𝙥𝙩𝙤 𝙥𝙧𝙤𝙟𝙚𝙘𝙩𝙨 𝙬𝙤𝙧𝙩𝙝 𝙢𝙤𝙣𝙞𝙩𝙤𝙧𝙞𝙣𝙜 𝙖𝙣𝙙 𝙥𝙧𝙤𝙙𝙪𝙘𝙚 𝙖 𝙘𝙤𝙢𝙥𝙖𝙧𝙖𝙩𝙞𝙫𝙚 𝙧𝙚𝙨𝙚𝙖𝙧𝙘𝙝 𝙧𝙚𝙥𝙤𝙧𝙩” For each project, request for the following; • What it does and its primary use case. • Its blockchain and underlying infrastructure. • Verifiable on-chain activity and relevant metrics. • Recent developments supported by reliable sources. • Major risks and weaknesses. • Why it deserves further attention. Ask for source links and require the agent to distinguish verified facts from its own interpretations. 3. 𝗘𝘃𝗮𝗹𝘂𝗮𝘁𝗲 𝘁𝗵𝗲 𝗿𝗲𝘀𝘂𝗹𝘁𝘀 𝗰𝗿𝗶𝘁𝗶𝗰𝗮𝗹𝗹𝘆 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. 𝗘𝘃𝗮𝗹𝘂𝗮𝘁𝗲 𝘁𝗵𝗲 𝗺𝗮𝗿𝗸𝗲𝘁𝗽𝗹𝗮𝗰𝗲, 𝘁𝗼𝗼 𝗧𝗵𝗲 𝗲𝘅𝗽𝗲𝗿𝗶𝗺𝗲𝗻𝘁 𝗱𝗼𝗲𝘀𝗻'𝘁 𝗲𝗻𝗱 𝘄𝗶𝘁𝗵 𝘁𝗵𝗲 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵. 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 👇 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 mutability—even 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 TermiX’s 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.

So @termix_ai recently unveiled subcontracting on agent.family, where a prime agent like Forge Studio accepts a 2,000 USDC game brief and decomposes it into specialized subtasks for art, animation, sound, and code integration. Specialist agents are then hired with defined scopes, prices, and stake-backed guarantees; they collaborate on deliverables like character concepts, sprite loops, and SFX before the prime agent integrates everything. This is a good feature as it enables autonomous agent teams to fulfill complex orders end-to-end, from splitting tasks to final delivery and payout settlement, advancing agentic commerce protocols. This is a good leap towards agentic commerce. You are not ready for what's coming bro.

How to properly explore the Features Under The Tasks section on @termix_ai 🧵 If you’re new to TermiX and wondering how to actually find useful agents/services instead of just scrolling through the marketplace, here’s the process I’d use. 1. Start with the search bar: The Service Results section lets you search across; Services, Agents, Skills. Don’t just search one keyword and stop. If I need crypto research, I’d try: • crypto research • crypto analyst • Web3 research • market research • blockchain research • crypto data analysis The goal is to see whether TermiX understands what you're looking for or simply matches exact keywords. Pay attention to: • How many results appear? • Are they actually relevant? • Are you getting services, agents or skills that make sense? • Does changing the wording significantly change the results? • Are there duplicates or irrelevant results? This is your first discovery test. 2. Explore the popular categories: TermiX also gives you categories based on what agents are hiring for. You’ll see things like: Code Security Data Design Writing Automation Research Model Ops If my goal is research, I’d start with Research. But I wouldn't stop there. I’d also check something like Data and see whether there are services there that could solve the same problem from a different angle. The question is: Can TermiX organize its supply in a way that helps me discover what I actually need? 3. Test the filters: Once you find relevant services, start playing with the marketplace filters. Try: → Budget → Delivery → Reputation → Tier For example: Research services -> Research + my budget -> Research + faster delivery -> Research + higher reputation -> Research + a specific tier Now you're not just browsing. You're testing how much the available supply changes when you introduce real buyer constraints. You might discover something like: “I found 18 research services initially, but after applying my budget, delivery requirement and verification preference, only 2 were actually relevant.” That tells you much more about the marketplace than simply counting how many services exist. 4. Compare Services vs Agents vs Skills: This is one of the things I'd definitely test if you were exploring this category on TermiX. Search for the same requirement in all three: Services: crypto research Agents: crypto research Skills: crypto research Then compare what comes back. You're basically asking; If I know what I want, which search path should I use? If the three sections produce very different results, that's useful information about how TermiX organizes its marketplace. 5. Don't immediately choose the first result: Once you find something interesting, open 2–3 options. Look at the following: • What exactly does the provider offer? • What is included? • Price • Delivery time • Reputation • Tier • Verification • Available information about previous work • Whether the description actually matches your requirement Then ask yourself: “If I were actually paying for this, would I clearly understand what I'm buying?” That's an important marketplace test. Not just some form of play around the whole thing. 6. Give one service a REAL job: This is where browsing becomes testing. Don't give the agent something vague like “Do some crypto research.” Give it a measurable task. For example, use this prompt: Research 5 AI-agent projects on BNB Chain. For each one, provide what the project does, relevant ecosystem activity, notable metrics and source links. Deliver the result in a concise table. Now you can actually evaluate the service based on the following criteria - Did it accept? - Did it deliver? - Was it on time? - Did it follow the instructions? - Was the research useful? - Were the sources provided? - Did the final output match what the service promised? After that, you document the entire journey. At this point, you have a proper marketplace experiment. And that's what I'd recommend anyone do when exploring this task section. Don't just ask: “How many agents are on TermiX?” Ask: “If I arrive with a real problem today, can TermiX help me discover someone capable of solving it?” That's a much more meaningful test of the marketplace. And if you can't find the right provider? That's useful data too. The goal isn't to make TermiX look good. The goal is to actually understand how the marketplace works as a buyer or practically user of the product. I hope this guide was useful enough to help understand how to navigate the agentic commerce system of TermiX.

So @termix_ai just released their SDK that lets non-AI apps discover agent services, place orders, receive deliverables, and settle payments on-chain using TypeScript, Python, or Go with built-in escrow and flexible signing options. WHAT DOES THIS MEAN? Your non-AI app (a SaaS backend, automation script, CMS, etc.) can programmatically hire AI agents, pay them securely via blockchain escrow, and receive the results, all without turning itself into an AI agent or building raw smart contract integrations. AI agents connect via “Skills” and regular apps connect via these SDKs. It’s essentially an easy onramp for the “agent economy” where work is ordered, delivered, and all settled on-chain. This is practically a solid shipping. Most agent marketplaces still force everything through browser UIs or custom agent skills but termiX team said, nope, we are going to include more routes to make this easier and just opened the door so ordinary apps (SaaS backends, scripts, internal tools, etc.) can treat AI agents like any other on-chain service: discover, escrow, deliver, settle, with proper dual signing modes and no platform holding the money. The “non-AI apps hire agents” angle is the real unlock. The team keeps shipping!!