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Theta EdgeCloud deploys Agentic Tools feature to support AI developers building on Theta blockchain
March 27, 2025
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Theta EdgeCloud has now deployed a suite of Agentic AI tools, designed to support AI developers building on Theta blockchain. These tools are a critical step to building out the functionality and usability of EdgeCloud, enabling it to become the leading Decentralized Cloud for AI, media & entertainment use cases.

The tool-use capability of large language models (LLMs) extends their functionality far beyond static text generation, enabling them to interact dynamically with external systems, APIs, databases, and software tools. By leveraging these tools, LLMs can perform real-time data retrieval, code execution, complex calculations, image generation, and more. This unlocks powerful possibilities such as autonomous agents that can reason and act in the real world, AI assistants that can build applications or analyze data on the fly, and domain-specific systems that combine language understanding with external knowledge and computation — paving the way for more capable, adaptable, and interactive AI systems and agent-driven AI workflows.

Now, Theta EdgeCloud has released the “Agentic Tools” feature for its RAG chatbot product, marking a major step forward in agent-driven AI workflows. With Agentic Tools, developers can now equip their chatbots with external capabilities such as web search, API calls, code execution, and document manipulation — enabling the bots to reason, plan, and act beyond static retrieval. This opens the door to more intelligent, goal-directed assistants that can automate complex tasks, integrate with enterprise systems, and dynamically adapt to user needs. For developers, it means faster prototyping, more powerful applications, and a seamless path from natural language to real-world action.

The initial release of the Agentic Tools feature also supports user-defined Custom Tools, enabling developers to specify external API endpoints, define when these APIs should be invoked, and configure the parameters to be used — all based on the chatbot’s conversation context. In addition to custom tools, the release includes several powerful built-in tools such as Web Search and Text-to-SQL, which offer immediate utility for a wide range of applications. This blog provides an overview of these new capabilities and how to leverage them for building more dynamic, context-aware AI agents.

1. Custom Tools

To set up the Agentic Tools for a RAG chatbot you have created, navigate to the details page of the chatbot, and click on the “Agentic Tools” tab. Here you can add custom tools or use built-in tools such as Web Search or Text-to-SQL. Below we provide a few examples of how to configure custom tools that access external resources via GET, POST, and PUT requests.

1.1 GET Example

As an example, we can use BlueSky’s public API as a custom tool to look up trending topics in BlueSky:

  • First click the “New” button which will pop up a modal for you to configure the custom tool
  • In the “When to use” field, describe the conditions for the chatbot to call the API endpoint (see below) in natural language
  • Select “GET” for the method, since in this example, we only need to retrieve the trending topics on Bluesky
  • For the “API Endpoint” field, put in the Bluesky API endpoint for trending topics query
  • Save the settings

Now, in the chat interface, ask what’s trending on Bluesky, and the chatbot will call the Bluesky API and then summarize the trending topics for you! It even provides links for each topic so you can simply click and open the link.

1.2 POST Example

You can also set up a custom tool that can execute a POST request similar to the one in the GET example. The only difference is that the POST request may require an API key or access token. You can set the access token via the “Headers” field as shown below. In the “Body” field you can set the fields for the JSON body to be sent for the POST request.

In this example, the user asks the chatbot to deploy a Jupyter notebook in Theta EdgeCloud in plain English. With the custom tool configured, the chatbot does the heavy lifting behind the scenes and returns the link to the Jupyter notebook, along with useful information such as the hardware specs of the node running the notebook.

1.3 PUT Example

Custom tools with PUT requests can be configured similarly to the ones for POST requests. In the following example, the custom tool uses the PUT request to update the existing Jupyter notebook deployment.

2. Web Search Tool

The “Web Search” tool allows your chatbot to search the internet for up-to-date information and enhance its responses. You can turn this feature on or off in the Web Search tab.

3. Text-to-SQL Tool

The “Text-to-SQL” tool allows your chatbot to convert natural language questions into SQL queries for database analysis. You can turn this feature on or off in the Text-to-SQL tab.

Looking Ahead

EdgeCloud’s Agentic Tools are the first step toward supporting Model Context Protocol (MCP), an open API protocol designed to let AI Agents access external tools, services, and data sources in a secure, standardized way. Think of MCP like a USB-C port for AI applications. Just as USB-C provides a standardized way to connect your devices to various peripherals and accessories, MCP provides a standardized way to connect AI models to different data sources and tools. Looking ahead, we may explore integrating MCP more deeply with the Theta EdgeCloud platform — for example, an interesting direction would be to create an MCP marketplace where users can spin up MCP servers and deploy MCP server code directly to the EdgeCloud network, leveraging both hosted and community-operated nodes. In this potential model, Edge Nodes that run MCP servers on behalf of other users could earn tokens as compensation for providing this service to the users of the MCP servers paying for the service.

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The Possible Impact Of USDC On The XRP Ledger And RLUSD
Key Points
  • It seems likely that USDC on the XRP Ledger (XRPL) boosts liquidity, benefiting XRP, though some see it as competition for RLUSD.
  • Research suggests both stablecoins can coexist, enhancing the XRPL ecosystem.
  • The evidence leans toward increased network activity being good for XRP, despite potential competition.

The recent launch of USDC on the XRP Ledger has sparked discussions about its impact on the ecosystem, particularly in relation to RLUSD, Ripple's own stablecoin. This response explores whether this development is more about competition for RLUSD or if it enhances liquidity on the XRPL, ultimately benefiting XRP.
 

Impact on Liquidity and XRP

The introduction of USDC, a major stablecoin with a $61 billion market cap, likely increases liquidity on the XRPL by attracting more users, developers, and institutions. This boost can enhance DeFi applications and enterprise payments, potentially driving demand for XRP, the native token used for transaction fees. While some may view it as competition for RLUSD, the overall effect seems positive for the XRPL's growth.
 

Competition vs. Coexistence with RLUSD

USDC and RLUSD cater to different needs: USDC appeals to those valuing regulatory compliance, while RLUSD, backed by Ripple, may attract users preferring ecosystem integration. Research suggests both can coexist, increasing options and fostering innovation, rather than purely competing.
 

Detailed Analysis of USDC on XRPL and Its Implications

The integration of USDC on the XRP Ledger (XRPL), announced on June 12, 2025, by Circle, has significant implications for the ecosystem, particularly in relation to RLUSD, Ripple's stablecoin launched in 2024. This section provides a comprehensive analysis, exploring whether this development is more about competition for RLUSD or if it enhances liquidity on the XRPL, ultimately benefiting XRP.
 

Understanding RLUSD and Its Role

RLUSD, Ripple's stablecoin, received approval from the New York Department of Financial Services (NYDFS) in 2024 and is designed to be fully backed by cash and cash equivalents, ensuring stability. It is available on both the Ethereum and XRP Ledger blockchains, aiming to enhance liquidity, reduce volatility, and serve cross-border payments. With a current market cap of $413 million, RLUSD is smaller than USDC's $61 billion but has regulatory credibility, particularly appealing to institutions.
 

Impact of USDC on the XRPL

The launch of USDC on the XRPL is a significant development, given its status as the second-largest stablecoin by market cap.
 
Key impacts include:
  • Liquidity Boost: USDC's integration can attract more users, developers, and institutions, increasing overall liquidity. This is crucial for DeFi applications, as Circle's announcement emphasizes its use in liquidity provisioning for token pairs and FX flows.
  • Increased Utility: USDC enhances the XRPL's utility for enterprise payments, financial infrastructure, and DeFi, potentially making it more attractive for global money movement and transparent settlements.
  • Regulatory and Institutional Appeal: As a regulated stablecoin issued by Circle, USDC can bring institutional users to the XRPL, aligning with Ripple's goals for regulated financial activities.
  • Network Growth: Supporting a widely recognized stablecoin like USDC on 22 blockchains, including the XRPL, increases the network's visibility and adoption, potentially driving more activity.

Competition vs. Complementarity with RLUSD

While USDC's launch could be seen as competition for RLUSD, the evidence suggests a more nuanced relationship:
  • Competition: Both are stablecoins on the XRPL, and USDC's larger market presence ($61 billion vs. RLUSD's $413 million) might attract users and developers away from RLUSD. However, competition can drive innovation, such as lower fees or better services, benefiting the ecosystem
  • Complementarity: Different stablecoins cater to different needs. USDC appeals to users valuing regulatory compliance and widespread adoption across multiple blockchains, while RLUSD, backed by Ripple, may attract those preferring ecosystem integration and regulatory approval from NYDFS. The XRPL can benefit from having multiple options, increasing liquidity and fostering a diverse ecosystem.
  • Coexistence Benefits: Research suggests that having multiple stablecoins enhances liquidity and provides users with more choices, potentially leading to higher network activity. For example, institutions might use USDC for global payments and RLUSD for specific XRPL-integrated applications, creating a symbiotic relationships.

Impact on XRP

The introduction of USDC, alongside RLUSD, is likely beneficial for XRP, the native token of the XRPL, for several reasons:
  • Increased Liquidity and Activity: Higher liquidity on the XRPL, driven by both stablecoins, can increase transaction volumes. XRP is used for transaction fees, with some fees burned, potentially reducing supply over time and increasing demand.
  • DeFi and Enterprise Use Cases: Both USDC and RLUSD enhance DeFi and enterprise applications, such as liquidity pools and cross-border payments, which can drive demand for XRP as a settlement token.
  • Network Growth: A more liquid and active XRPL is more attractive to developers and users, potentially leading to long-term growth for XRP, as increased utility can drive its value.
Expert analyses, such as those from u.today and ledgerinsights.com, suggest the launch is a "massive boost" for liquidity and adoption, with RLUSD also playing a significant role.
 

Comparative Analysis: USDC vs. RLUSD

To further illustrate, consider the following table comparing key attributes:
 
Given the evidence, it is more accurate to view the introduction of USDC on the XRPL as beneficial for liquidity, which is ultimately good for XRP, rather than solely as competition for RLUSD. The XRPL benefits from increased options, with both stablecoins enhancing liquidity, utility, and network growth. While some competition exists, the overall impact is positive, fostering a robust ecosystem that can drive demand for XRP. This conclusion aligns with expert analyses and community discussions, acknowledging the complexity of the stablecoin market within the XRPL.
 

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