by Frank, PANews
the x402 agreement is undoubtedly the most popular narrative centre in the encrypted market. After a long period of silence, a new wave, driven by real technology, is unfolding. The gold rush around the x402 infrastructure is on the rise, and discussions and projects are taking place. But a key issue is ignored in fanaticism: if x402 solves only “ how is &rdquo paid; then “ why trust ” and “ how can &rdquo be validated; and by whom? When everyone's eyes are focused on the payment level, the real opportunity for new assets may be hidden in the accompanying trust level. mdash; — ERC-8004. & nbsp; & nbsp; & nbsp;
But the gap between payment (x402) and trust (ERC-8004) remains deep and unpredictable. Without “ memory ” the AI agent cannot prove his or her behaviour and worth; and trust cannot be mentioned without verifiable memory. This is the &ldquao of Unibase; the memory layer &rdquao; the key, not only is it a key middle to linking the cornerstone of the payment boom and trust, but it can be a central engine for unleashing the real potential of AI agents. & nbsp; & nbsp;
the x402 protocol is not a new thing in itself, but a state code — — “ 402 Payment Requid”, which has been on the Internet basis for decades. The agreement itself was one of the earliest scenarios for the Internet, but it has remained silent for decades because of technical constraints. As AI proxy technology matures and the use of encrypted currencies (especially stable currencies) becomes widespread, the x402 agreement finally has the opportunity to make the automatic payment of machines a reality。
the essence of the x402 agreement is to use the instant and low-cost settlement capacity of the block chain (especially the stable currency) to embed payment logic into Web requests. The vision is to achieve “ API calls to pay ” & mdash; & mdash; AI proxy (Agent) or machine can automatically pay for each of the data or computing resources consumed by it, as humans visit the web page。
with top winds like a16z predicting an autonomous trading economy of $30 trillion, the market quickly recognized the enormous potential of x402 as &ldquao; machine economy pay &rdquao. however, behind the back of blind fanaticism, a deeper problem emerges: payment, then
x402 is itself a purely payment agreement. it efficiently resolved “ how to pay ” but did not touch a more fundamental business premise — — “ trust ” at all。
IN AN OPEN, UNLICENSED MACHINE ECONOMY, HOW DOES AN AI AGENT (BUYER) KNOW THAT ANOTHER AI AGENT (SELLER) IT IS ABOUT TO PAY IS CREDIBLE? JUST AS HUMAN PARTICIPATION IN BUSINESS DEPENDS ON IDENTITY AND CREDIT SYSTEMS, AI OR MACHINE ALSO NEEDS A MECHANISM TO SHAPE TRUST. THIS IS THE VALUE OF ANOTHER STANDARD AGREEMENT, ERC-8004。
ERC-8004 is a decentrized identity and reputation layer designed specifically for AI agents to address the missing trust issues of x402. Its Technical Reason Registration Form (Identity Registry), Reputation Registry, Validation Registration Form (Validation Registry) consists of “ ID & rdquo; issuance, reputation feedback, certification of trust。
It can be said that ERC-8004 and x402 are closely complementary and indispensable symbiotic in the machine economy. Only because the x402 agreement is more easily interpreted as a pay revolution and because of the marketing of the ME, it is more discussed by the market。
Real industry practitioners have long recognized that payments must be combined with trust. Unibase took the lead in seizing this opportunity and positioned it as the middle link between the two pillars. On the Unibase platform, the ERC-8004 identity system is deeply integrated with x402 payment networks。
In the idea of Unibase, each future X402 transaction is no longer anonymous, blind “ dark box operation ” On the contrary, each payment will take place between two AI agents with verifiable identification (ERC-804). The buyer ' s agent may search the seller ' s agent ' s “ ID ” and historical credit rating before payment is made; after payment has been made, the buyer may also record the service experience (a certificate of payment by x 402) into the seller ' s reputation registration form, thus forming a complete closed commercial trust。
However, for the system to be truly operational, a third key component, — — Memoory, is required。
An al assistant without memory is stupid. Imagine you have to tell your smartphone every morning who you are, where you live, what style you like. This is the dilemma of &ldquao; no state &rdquao; AI。
This problem is even more deadly for the autonomous proxy economy. An agent needs not only identity (ERC-8004), but also &ldquao; memory &rdquao; to accumulate experience, learn preferences and share knowledge. More importantly, in an economy composed of payments (x402) and trust (ERC-8004), “ memory ” playing “ verifiable proof of workload ” this core role。
For example, agent A (buyer) used x402 to pay agent B (seller). Agent B has the identity of ERC-8004. Now Agent B claims that it has completed its work. How does Agent A (and the network as a whole) securely verify that it is actually done and that it is done as required? This process needs to introduce “ memory ” functionality。
Unibase's Memory is a decentrified, durable storage layer designed for AI agents that is linked through the ERC-8004 identity system. This means that every agent with an ERC-8004 identity has an exclusive, bound & ldquo; memory space & rdquo; on Unibase。
This & ldquo; memory space & rdquo; not only & ldquo for learning and situational awareness by proxy; brain ” but also indispensable in the machine economy & ldquo; arbitration and certification layer & rdquo; In the structure of Unibase, when an agent performs a task, the complete interactive log, the data processing process and the end result are stored in Unibase Memory, forming an unmixable & ldquo with Hash time stamp; memory entry & rdquo;. This “ memory entry ” proxy “ certificate of work &rdquo。
Thus, the gold triangle consisting of three components of the ERC-8004 identity layer, the Unibase Memoory layer, and the x402 payment layer is the complete picture of the real realization of machine payments。
Of these, the ERC-8004 identity layer gives each intelligence body a unique chain identity; the Unibase Memoory memory layer is responsible for recording interactions, reasoning and behavioral trajectories; and the x402 payment layer is based on achievable verifiable, no Gas payments。
In order to put this theory into practice, Unibase launched its Unibase x 402 Facilitator service on BNB Chain. This is also the first practical x402 Facilitator service of BNB Chain。
An excellent technology strategy requires not only a strong theoretical closure, but also a precise market entry strategy。
The Unibase strategy is not limited to being a passive infrastructure (median), but it also promotes its market entry strategy proactively through an integrated application layer, the catch of which is BitAgent。
BitAgent is the first flagship application built by the Unibase team. It is a platform for multi-intelligence startup (Launchpad) and coordination driven by x402 and ERC-8004. If Virtuals Protocol& nbsp; opens the AI proxy course, BitAgent 's goal is to provide a more complete distribution platform for “ Ai ”。
The original AI means that every AI agent activated on BitAgent was pre-entrusted with &ldquao; Golden Triangle &rdquao; capabilities:
AUTHENTICATION (ERC-8004):The agent automatically registers the ERC-8004 identity NFT at startup. & nbsp; & nbsp; & nbsp;
Enduring Memory:The agent is inherently connected to UNibaseMemory to enable it to & ldquo; remember ” and “ learn ”. & nbsp; & nbsp; & nbsp;
No Gas Pay (x402 + EIP-3009):Proxy embedded x 402 capacity to pay and no Gas transactions through EIP-3009. & nbsp; & nbsp; & nbsp;
Interoperability (UnibaseAIP):The proxy uses the Unibase proxy interoperating protocol (AIP) to communicate and collaborate across platforms and frameworks。
This design distinguishes BitAgent from the early AI launch platform. In other platforms, functions such as identity, memory, payment, etc. may need to be developed by the developer after the event & ldquo; patch & rdquo; and on BitAgent, these are & ldquo; plant-design & rdquo; and represent the agency ' s original core competencies。
In addition, BitAgent designed a unique issuance mechanism for AI proxy coins. This mechanism combines the viral transmission of Memeco and the liquid deposition of DeFi。
This mechanism is divided into two phases:
The first stage is the Convergence Curve (Bonding Curve), which is similar to the current mainstream MEME platform, when an AI agent is launched on BitAgent, its tokens are first passed through “ ” “ Fair Start &rdquo。
The second phase is the automatic injection of the PancakeSwap V3 mobile pool. When currency transactions or fund-raising in the conic reach a predetermined threshold, the contract automatically and permanently injects all funds accumulated in the conic (e.g. BNB) and the remaining AI proxy tokens into a new liquid pool (LP) in PancakeSwap V3。
Through this two-stage process, BitAgent can allow AI proxy tokens to complete a shift in hours from a highly volatile and speculative “ Meme ” to a deep, stable and permanent liquid “ DeFi ”。
The UNibase market narrative has thus become complete。
At the infrastructure level, it captures the core contradiction of an autonomous proxy economy: payments (x402) are blind, while trust (ERC-804) is empty unless there is “ verifiable memory & rdquo; linking it. UNibase positioned itself through UNibase Memory as an essential “ meso-level ”: a final &ldquo for machine behavior; a workload certificate ” and &ldquo on which arbitration is based; memory book ” & nbsp; & nbsp; & nbsp;
At the application level, Unibase chose to proactively fill market gaps. Through BitAgent, it tactfully exploits the viral transmission of Meme and the deep mobility of DeFi, the most dominant market today, to its bottom & ldquo; memory & rdquo; and infrastructure, which constantly creates real and strong economic demand, thereby unleashing the real potential of x 402 and ERC-8004。