Expert Says Ripple’s XRP Is Designed For More, Here’s What He Means

bitcoinistPublished on 2026-03-25Last updated on 2026-03-25

Abstract

An expert analyst, X Finance Bull, emphasizes that Ripple's XRP was designed for far more than just payment transactions. While known for enabling fast and low-cost cross-border transfers, XRP's underlying infrastructure supports a broader range of functions, including tokenized asset creation, lending, borrowing, and using XRP as collateral—all natively on the XRP Ledger (XRPL). The analysis highlights institutional validation from Evernorth, a billion-dollar treasury, which confirms that XRPL uniquely combines multiple capabilities with regulatory clarity. Evernorth itself uses XRP in its institutional treasury and participates in the XRP DeFi ecosystem, lending and deploying the asset as intended. This reflects a growing recognition of XRP’s multifunctional utility beyond remittances, with major players like SBI Holdings, Pantera, and Kraken supporting its expanded use cases.

X Finance Bull, a well-known Ripple advocate and market analyst, has placed XRP back into the spotlight with fresh insights into its design and utility. According to him, XRP was never just a payment token but a digital currency built for far more, with multi-functional capabilities now being backed by Evernorth, a billion-dollar institutional XRP treasury.

Analyst Highlights Ripple’s XRP Strength Beyond Payments

In an X post on March 21, X Finance Bull declared that XRP, the native token of the XRP Ledger (XRPL), was never designed to be just a payments token. Usually, XRP has been used for cross-border transactions, enabling users to execute fast and secure transfers at scale.

However, X Finance Bull noted that XRP’s infrastructure was always designed to handle much more than its current usage. According to him, the crypto network allows users to create, manage, and trade tokenized digital assets, lend and borrow funds, utilize XRP as collateral, and settle global transactions quickly. All of this occurs directly on the XRP Ledger, making it a unique multi-functional network in the crypto space.

The analyst also emphasized that major players like Evernorth have publicly confirmed XRP’s wide range of use cases. He stated that Evernorth noted that, aside from XRPL, no other blockchain “combines all these capabilities natively,” while maintaining “the regulatory clarity that institutions require.”

X Finance Bull highlights the significance of Evernorth’s words because they show that XRP’s utility has evolved beyond simple transfers or remittances, now supporting a wide range of financial operations within a single ecosystem. He highlights that institutions are already deploying XRP in various ways financially. Many now hold it, borrow or lend it, and use it as part of decentralized finance (DeFi) infrastructure.

X Finance Bull further noted that XRP receiving support from a major institution such as Evernorth, which is backed by top firms including Ripple, SBI Holdings, Pantera, and Kraken, suggests that the cryptocurrency’s potential is being realized globally. He noted that XRP’s use cases are no longer just theory but a working framework already being implemented by major industry players.

Evernorth Praises XRP’s Network Utility

In his X post, X Finance Bull shared a screenshot of Evernorth’s remarks about Ripple’s XRP and its blockchain. According to Evernorth, XRP initially began primarily as a payments network. They noted that trillions of dollars remain idle in bank accounts worldwide to facilitate international transfers. However, XRP can move the same money in seconds, at a fraction of a cent.

Evernorth further stated that, in reality, XRP was designed as a single digital asset network capable of bridging various financial and global infrastructure use cases. The firm also noted that it holds XRP in an actively managed institutional treasury while simultaneously contributing to the growth of the XRP DeFi ecosystem. In their words: “we can lend it, deploy it, and put it to work like it was designed to do.”

XRP trading at $1.41 on the 1D chart | Source: XRPUSDT on Tradingview.com

Related Questions

QAccording to X Finance Bull, what was XRP originally designed for beyond just a payment token?

AXRP was designed to handle much more than payments, including creating, managing, and trading tokenized digital assets, lending and borrowing funds, utilizing XRP as collateral, and settling global transactions quickly on the XRP Ledger.

QWhich major player has publicly confirmed XRP's wide range of use cases, as mentioned in the article?

AEvernorth, a billion-dollar institutional XRP treasury, has publicly confirmed XRP's wide range of use cases.

QWhat advantage does Evernorth highlight about XRP compared to other blockchains?

AEvernorth noted that no other blockchain combines all these capabilities natively like XRPL does, while also maintaining the regulatory clarity that institutions require.

QHow does Evernorth describe its own involvement with XRP?

AEvernorth holds XRP in an actively managed institutional treasury and contributes to the growth of the XRP DeFi ecosystem by lending, deploying, and putting it to work as designed.

QWhat key benefit of XRP for international transfers is mentioned by Evernorth?

AEvernorth stated that XRP can move trillions of dollars that remain idle in bank accounts for international transfers in seconds at a fraction of a cent.

Related Reads

AI Agent Completely Transforms Web3 Gaming: From the Rugpull Bakery Bot Controversy to the New 2026 Agent Paradigm

This article explores how the AI Agent paradigm is fundamentally transforming Web3 gaming, moving from a disruptive force to a core, legitimized element. It begins with the controversy in the competitive baking game Rugpull Bakery, where automated scripts caused fairness issues. Instead of banning them, the developers integrated AI Agents into the official gameplay by providing technical documentation (skill.md, agent.json), marking a shift towards "Agentic Gaming." The piece outlines three primary implementation models for AI Agents in Web3 games by 2026: 1. **Autonomous Competitors & Economic Entities:** AI Agents act as independent players with unique strategies. Examples include TEN Protocol's poker agents, AI Arena's trainable NFT fighters, and Satoshi Strike Force's "Digital Athletes" trained on player data. The Somnia blockchain is highlighted as a dedicated "Agentic L1" infrastructure supporting this model at scale. 2. **Modular Infrastructure & Programmable Environments:** This model, exemplified by EVE Frontier, allows AI Agents to program game world logic itself. Using "Smart Assemblies" (e.g., Smart Turrets, Smart Gates), Agents can modify shared economic and physical rules on-chain, creating dynamic, player/AI-built worlds. The ERC-8183 standard further enables these automated entities to hire other AI services for complex tasks. 3. **Hybrid Companions & Dynamic Adaptation:** Here, AI serves as a collaborative partner. In Parallel Colony, highly autonomous AI Avatars work alongside human players who provide high-level guidance. Illuvium plans to use AI to make NPCs dynamic and responsive, creating personalized, emergent narratives for each player. The conclusion posits that Web3 gaming has reached a "post-human" inflection point. Blockchains' transparency and programmability, combined with new standards and infrastructure like Somnia, make integrating and governing AI Agents not just viable but essential. The future lies in a symbiotic digital order where players transition from manual laborers to commanders and partners of algorithmic intelligence.

marsbit4m ago

AI Agent Completely Transforms Web3 Gaming: From the Rugpull Bakery Bot Controversy to the New 2026 Agent Paradigm

marsbit4m ago

Saylor's Purchase of 1550 Bitcoin Is a Bad Trade

**Title: Saylor's Purchase of 1,550 Bitcoins Was a Bad Trade** The article critically analyzes Strategy's recent move of selling 32 bitcoins followed by a much larger purchase of 1,550 bitcoins. While appearing bullish, the author argues this trade is detrimental to MSTR shareholders. The core argument revolves around the concept of "breakeven modified Net Asset Value (mNAV)," a key metric for Strategy. To increase Bitcoin per share (BPS) for MSTR holders, Strategy must issue new shares at a premium high enough that the funds raised can buy more bitcoin than the bitcoin backing each existing share. Currently, this breakeven mNAV is estimated at 1.30. The recent trade failed on two counts: 1. The shares for the $181 million raise were issued at an mNAV *below* the 1.30 breakeven point. Selling "cheap" shares to buy bitcoin actually *reduces* BPS. 2. Only $101.3 million of the raised funds were used to buy bitcoin; the rest went to boost the company's dollar reserves. The breakeven mNAV calculation assumes *100%* of proceeds are used for bitcoin purchases. Diverting funds, even if mNAV were high, dilutes BPS. The result is an estimated 0.19% decrease in Bitcoin per share for MSTR holders. In exchange, Strategy merely extended its operational runway for its dollar reserves from ~6.3 months to 7 months. The author interprets this as Strategy prioritizing the survival and development of its STRC business over its stated core goal of increasing MSTR's BPS. This constitutes a gamble: if sacrificing MSTR value leads to improved market sentiment and a recovery in STRC's price (and thus mNAV), the whole system could work. If not, Strategy may be forced into a cycle of further diluting MSTR to stay afloat, potentially leading to deferred STRC dividends or corporate decline. The article concludes with a hope for price recovery for Bitcoin, MSTR, and STRC.

Foresight News15m ago

Saylor's Purchase of 1550 Bitcoin Is a Bad Trade

Foresight News15m ago

The AI Bear Market Lasting Two Days Is Over; Why Did Funds Buy Back Storage Stocks First?

After a severe two-day selloff in early June that erased over $1 trillion from U.S. chip stock market value, capital is flowing back first to the memory sector. The correction was not driven by a collapse in AI demand but rather a market reassessment of high expectations. Stocks like Broadcom faced selling pressure despite strong AI revenue guidance, signaling a shift in focus from who has an "AI story" to who can most rapidly translate AI demand into verifiable profits and earnings per share (EPS). Memory companies, such as Micron and SK Hynix, are leading the recovery because their EPS growth is more immediately verifiable. The AI server boom directly increases demand for high-bandwidth memory (HBM) and high-capacity server DRAM, tightening supply and driving up contract prices for conventional DRAM and NAND Flash. This price increase, coupled with a shift to higher-margin products, flows directly into near-term revenue and profitability, as evidenced in recent earnings reports. In contrast, other AI semiconductor segments like GPUs, ASICs, and optical modules, while central to the long-term AI infrastructure story, face longer and less certain paths to EPS validation. Their growth depends more on future product cycles, customer adoption timelines, and capital expenditure plans. The rebound in memory stocks highlights a market preference for assets with shorter, more transparent EPS conversion cycles following the recent de-risking phase. However, this does not negate the potential of other AI hardware segments should they provide clearer near-term order visibility. The episode has raised the validation bar for all AI-related investments.

marsbit15m ago

The AI Bear Market Lasting Two Days Is Over; Why Did Funds Buy Back Storage Stocks First?

marsbit15m ago

Trading

Spot
Futures

Hot Articles

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of S (S) are presented below.

活动图片