# API Related Articles

HTX News Center provides the latest articles and in-depth analysis on "API", covering market trends, project updates, tech developments, and regulatory policies in the crypto industry.

Utexo Partners with x402 to Provide Near-Instant USDT Settlement for the Agent Economy

Utexo, a Bitcoin-native stablecoin payment execution and settlement layer, has partnered with x402 to integrate USDT compatibility into the x402 payment protocol. This collaboration enables near-instant settlement for agent-to-agent transactions, with speeds as fast as 50 milliseconds. x402 is an open protocol that uses the HTTP 402 "Payment Required" status code to embed payment functionality directly into HTTP requests. This allows applications, APIs, and autonomous systems to pay for services in real-time without requiring pre-funded accounts. The integration expands x402’s initial USDC support to include USDT, one of the most widely used stablecoins globally. Utexo’s infrastructure is designed for high-frequency, low-latency transactions, making it well-suited for machine-driven payments. According to Utexo CEO Viktor Ihnatiuk, supporting USDT within the x402 framework significantly broadens access and provides developers the performance needed for real-time agent-based systems. Kevin Leffew of x402 at Coinbase added that expanding stablecoin access improves performance and accelerates developer adoption. This partnership supports growing use cases where software systems autonomously conduct transactions—such as paying for API calls, accessing data on-demand, and coordinating services across platforms without human intervention. By combining x402’s protocol with Utexo’s settlement infrastructure, the collaboration enables a payment model where transactions are as fast and efficient as the requests that trigger them.

marsbitYesterday 11:59

Utexo Partners with x402 to Provide Near-Instant USDT Settlement for the Agent Economy

marsbitYesterday 11:59

Crypto Bear Market Startup Guide Part 2: The Token Relay Station - Exchanging Crypto Tokens for AI Tokens

"Token Relay Station: A Guide to Starting a Crypto Bear Market Business (Part 2) - Exchanging Crypto Tokens for AI Tokens" This article explores the business opportunity of creating an AI token relay station, a service that acts as an API aggregation layer. It allows users to pay with cryptocurrency (Crypto Tokens) to access credits for various AI models (AI Tokens), bypassing traditional payment barriers. The piece highlights a significant, underserved market: using crypto to directly purchase AI API credits and the potential "reverse export" of cheaper, high-performing Chinese models (like Qwen, Kimi, GLM) to overseas users. It uses OpenRouter, co-founded by OpenSea's ex-CTO Alex Atallah, as a key case study of a successful pivot from crypto to AI infrastructure, noting its support for crypto payments. The analysis reveals market challenges, including widespread fraud where users pay for premium models but receive inferior ones, and unstable supply chains reliant on bulk accounts prone to bans. It outlines three business models: global/developer-focused (OpenRouter), multi-modal/China-focused (APIMart.ai), and hyper-localized operations. Substantial risks are also detailed: high capital requirements for API procurement and infrastructure, the necessity of stable supply channels, complex legal and compliance issues around data resale and cross-border regulations, and the critical importance of user trust. Ultimately, the article posits this as a viable, revenue-generating business model for the crypto bear market, built on real API usage-based income rather than speculative token narratives.

Odaily星球日报04/10 03:30

Crypto Bear Market Startup Guide Part 2: The Token Relay Station - Exchanging Crypto Tokens for AI Tokens

Odaily星球日报04/10 03:30

5.4 Billion Burned, Sora Dies: Anonymous Chinese Model Kicks Open the Next Door in 38 Seconds

In March-April 2026, two major events reshaped the AI video generation landscape. OpenAI shut down its flagship model Sora, citing unsustainable daily costs of $15 million and low user retention, effectively exiting the consumer video market. Shortly after, an anonymous Chinese model dubbed "HappyHorse-1.0" topped the blind-test leaderboard on Artificial Analysis with a score of 1357 in text-to-video (without audio), outperforming rivals like ByteDance’s Seedance 2.0. HappyHorse-1.4 seconds to generate 1080p video with audio on a single H100 GPU. Its unified Transformer architecture and distilled diffusion techniques significantly improved efficiency compared to Sora’s costly diffusion-based approach. The model is speculated to be developed by Alibaba or based on Sand.ai’s technology, though its anonymous release suggests strategic data collection and legal risk avoidance regarding copyright and deepfake regulations. Meanwhile, commercial leaders like ByteDance impose high barriers—including million-dollar API contracts and strict compliance checks—to mitigate legal risks, focusing on B2B applications rather than consumer use. Key emerging opportunities include automated e-commerce promo videos, AI-assisted short drama production, and localized ad creation for global markets, all driven by plunging generation costs and faster turnaround times. The competition has shifted from pure model performance to cost efficiency, workflow integration, and regulatory compliance.

marsbit04/10 00:19

5.4 Billion Burned, Sora Dies: Anonymous Chinese Model Kicks Open the Next Door in 38 Seconds

marsbit04/10 00:19

Rhythm X Zhihu Co-host Web4.0 Theme Event: When AI Agent Takes Over On-Chain Permissions

Most discussions about Web 4.0 miss the point. The real question is not whether it is a marketing trend, but rather: who is gaining control over the underlying permissions of the internet? Historically, each iteration of the web has involved a transfer of authority downward: Web 1.0 was read-only; Web 2.0 allowed users to write but platforms owned the data; Web 3.0 enabled true ownership through on-chain assets and private keys. Web 4.0 continues this trend, but the transfer is not to users—it is to AI Agents. The current infrastructure is human-centric, designed around human limitations like attention span and memory. But AI Agents don’t need intuitive UIs, password resets, or sleep. This creates a core tension: an internet built for humans is now being used by entities without human constraints. Two key shifts are underway: the decline of traditional front-end interfaces (replaced by API-driven machine communication) and the replacement of human-centric identity systems (like passwords) with granular, on-chain permissions. A critical enabler is crypto infrastructure. AI can make rapid decisions but lacks independent payment channels and asset sovereignty. Crypto fills this gap. Platforms like Hyperliquid offer 24/7 markets, ideal for non-stop Agent operation. When Agents control wallets and private keys, they can both decide and execute—forming complete economic entities. The real narrative of Crypto × AI isn’t just buzzword synergy—it’s the convergence of complementary infrastructures. The deeper shift is not which products will succeed, but how the rules of economic systems will change when AI becomes a primary on-chain participant, operating at scale and speed beyond human capability.

marsbit04/01 09:10

Rhythm X Zhihu Co-host Web4.0 Theme Event: When AI Agent Takes Over On-Chain Permissions

marsbit04/01 09:10

Cursor vs. Anthropic and OpenAI: Thanks for Raising Me, Now I'm Here to Take the Market

Cursor, a VS Code plugin initially built on OpenAI's API, has transitioned from a dependent customer to a formidable competitor by launching its proprietary coding model, Composer 2. This model reportedly outperforms Claude Opus 4.6 on key benchmarks at one-tenth the cost. The case exemplifies a critical strategic dilemma in tech—when to open or close an API. The authors propose a framework: opening an API risks eroding a company’s moat if competitors can use it to bootstrap their own products and aggregate demand, eventually enabling vertical integration. This is especially risky in AI, where API outputs can directly improve a rival’s model training and product refinement—exactly what Cursor achieved by leveraging OpenAI and Anthropic models to gather user data and refine its own offering. Companies then face two choices: restrict API access (like Twitter, which closed its API to protect its social graph) or keep it open but find alternative moat, such as network effects or Lindy effects (like crypto protocols, e.g., Morpho). The authors predict that leading AI companies (like OpenAI and Anthropic) will likely restrict access to their most advanced models over time, as switching costs remain low, network effects are weak, and distillation techniques reduce training costs. This could stifle consumer AI innovation but create opportunities for open alternatives.

marsbit03/31 07:35

Cursor vs. Anthropic and OpenAI: Thanks for Raising Me, Now I'm Here to Take the Market

marsbit03/31 07:35

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