# API İlgili Makaleler

HTX Haber Merkezi, kripto endüstrisindeki piyasa trendleri, proje güncellemeleri, teknoloji gelişmeleri ve düzenleyici politikaları kapsayan "API" hakkında en son makaleleri ve derinlemesine analizleri sunmaktadır.

DeepSeek V4 'Full-Blooded Edition' Leaked, Could Be Released As Early As Tomorrow

The highly anticipated full release of DeepSeek V4 is imminent, expected to launch as early as tomorrow after nearly three months of waiting. A select group has already received access to the GA (General Availability) beta, which includes two versions: DeepSeek V4 Flash and DeepSeek V4 Pro. Early testers report that V4's overall performance is close to the level of Opus 4.8, with coding capabilities rivaling GPT-5.6 Sol. Its agent abilities are significantly enhanced, and 3D/SVG generation has improved notably. While it may not surpass the recently released Kimi K3 in performance, its expected price point is significantly lower. The official release will introduce a new "peak/off-peak" pricing model for its API. For example, deepseek-v4-pro will cost $0.87 per million output tokens during standard times and $1.74 during peak hours. The flash version is even more aggressive at $0.28/$0.56 per million tokens, with cached input tokens priced extremely low at $0.0028. This makes V4 a strong contender in terms of cost-effectiveness, potentially offering Opus-level capabilities at a fraction of the cost, continuing DeepSeek's reputation as a "price disruptor" in the AI market. Initial demos showcasing V4's capabilities have begun circulating, including generated 3D simulation games, HTML games blending elements of Minecraft and No Man's Sky, and classic games like a "Cut the Rope" clone. The final GA version is set to replace the older deepseek-chat and deepseek-reasoner models, which will be retired on July 24th.

marsbit07/19 05:31

DeepSeek V4 'Full-Blooded Edition' Leaked, Could Be Released As Early As Tomorrow

marsbit07/19 05:31

Navigating the World of Event Trading: Top 5 Prediction Markets for Every Type of User

The prediction market industry has grown significantly, with trading volumes exceeding $20 billion monthly by mid-2026, driven by sports, politics, and macroeconomics. Success now depends heavily on platform choice and execution logistics. This guide compares five leading networks: **Polymarket**: A high-volume, decentralized platform on Polygon, using USDC for international and crypto-native users. It offers diverse markets but lacks built-in risk tools. **Kalshi**: A CFTC-regulated U.S. exchange for institutional traders, using direct fiat. It leads in regulated volume, especially for major sports and economic events, but has limited contract listings. **Outpoll**: A CeDeFi platform for advanced traders, focusing on professional tools. It uniquely features built-in stop-loss/take-profit orders, 0.1% fees, and full API support, with settlement in USDC. **OG Predictive**: A CFTC-regulated, sports-focused platform from Crypto.com. It offers granular player props and a flat fee structure, appealing to long-term position traders. **Manifold Markets**: A play-money, no-KYC platform for casual users and developers. It allows user-generated markets on any topic with zero fees, serving as a sandbox for strategy testing. Key differentiators include regulatory models (regulated vs. decentralized), funding (fiat vs. crypto), order types, risk management features, API access, and mobile support. The conclusion emphasizes that in today's event trading, profitability hinges not just on accurate predictions but on optimizing execution through platform infrastructure, liquidity, fees, and risk tools.

TheNewsCrypto07/14 10:11

Navigating the World of Event Trading: Top 5 Prediction Markets for Every Type of User

TheNewsCrypto07/14 10:11

June Transaction Volume Doubles: x402 Ecosystem Continues to Expand, Content Monetization Narrative Faces Crucial Test

X402, a protocol for AI and data services, experienced significant growth in June. Its transaction volume doubled compared to May, primarily driven by the AI inference routing service BlockRun. The ecosystem expanded with new integrations: Apify enabled data scraping services, Exa extended its AI search to Solana, and Seal launched 'Hacks', a marketplace for automated AI agents. The protocol itself received crucial upgrades, including 'Builder Codes' for tracking and affiliate systems and 'Batch Settlement' to enable practical micropayments for high-frequency AI tasks. Major external validation came from tech giants. Amazon Web Services (AWS) launched a solution for AI traffic metering at its edge nodes. More significantly, Cloudflare opened its waitlist for a Content Monetization Gateway. This gateway allows websites to charge AI bots and other automated agents for accessing content, using x402 for stablecoin payments. This addresses a core internet monetization problem and represents x402's most promising path to mass adoption, though Cloudflare's CEO noted current blockchain scalability remains a critical hurdle. Current leading use cases are AI inference routing and paid data feeds. However, the large-scale real-world test with Cloudflare's gateway will be decisive in determining if x402 can transition from a useful tool to a fundamental infrastructure component for a new web economy where AI agents pay for the content they consume.

Foresight News07/10 09:42

June Transaction Volume Doubles: x402 Ecosystem Continues to Expand, Content Monetization Narrative Faces Crucial Test

Foresight News07/10 09:42

SemiAnalysis: Anthropic's Q3 Profit to Exceed $1 Billion

Research firm SemiAnalysis reveals that Anthropic is reshaping the AI commercialization landscape with profitability and growth rates far exceeding competitors. Leveraging a high-margin, API-centric business model, Anthropic has become a leader in the B2B AI market. The report projects that Anthropic will achieve a GAAP EBIT of $1 billion in Q3 2026, with a 6% margin. Its Annual Recurring Revenue (ARR) has surged from $9 billion at the end of 2025 to over $60 billion currently. If it maintains a Net New ARR (NNARR) of approximately $15 billion per month, its ARR could reach $300 billion by the end of 2027, implying a $6 trillion enterprise value and making it the world's most valuable company. Anthropic secretly filed for an IPO on June 1st. SemiAnalysis argues the timing is strategically urgent due to narrowing capital market windows as rivals like Alphabet and Meta secure major funding. The superior financials and business model suggest Anthropic should go public before OpenAI to seize the competitive initiative. The performance inflection stems from the explosive adoption of Claude Code, which now accounts for over 7% of all GitHub commits, driving monthly NNARR from $3 billion in January to $11 billion in March. Anthropic's revenue structure differs significantly from OpenAI's. Approximately 75-85% of Anthropic's ARR comes from usage-based API fees, with consumer subscriptions constituting only about 5%. In contrast, over 65% of OpenAI's Q1 2026 revenue was from subscriptions, with ~40% from consumers. The API model's key advantage is no per-user revenue cap, enabling growth within existing accounts. Anthropic's Net Revenue Retention (NRR) is an extraordinary 500%. This drives superior gross margins, now in the mid-60% range versus -94% in 2024, with API margins exceeding 80%. Core drivers are improved inference efficiency and a largely enterprise-focused model without the cost of serving hundreds of millions of free users. The report introduces "EBTIT" (Earnings Before Training & Interest & Taxes) to measure re-investment capacity, projecting Anthropic's cumulative EBTIT through 2028 will be $250 billion higher than OpenAI's. Over 65% of lab ARR currently comes from programming use cases. Cybersecurity is seen as the next major vertical, with upcoming model releases like Fable expected to further increase token pricing and expand NNARR. Indirect sales via hyperscaler platforms (AWS Bedrock, Azure Foundry) now account for 15-20% of ARR. A core constraint is compute supply. By 2030, combined unconstrained compute demand from Anthropic and OpenAI could exceed 100 GW, far outstripping projected new capacity. IPO proceeds are seen as crucial to lock in future compute resources. Key risks include potential price cuts by OpenAI, competitive pressure from Google DeepMind and Meta in coding models, potential government restrictions on frontier model releases, and margin dilution from growing indirect "Token-as-a-Service" sales. Regulatory actions that narrow the capability gap between open-source and proprietary models are highlighted as a fundamental threat to Anthropic's moat.

marsbit07/08 09:27

SemiAnalysis: Anthropic's Q3 Profit to Exceed $1 Billion

marsbit07/08 09:27

Just Now, Claude Fable 5 Gets a 5-Day Extension, Money-Saving Guide Here

Anthropic has extended the free trial access period for its most advanced Claude Fable 5 model to July 12th, giving users five extra days. The article details cost-saving strategies for maximizing value from Fable 5 and similar top-tier models. Key methods include extracting Fable 5's "reasoning patterns" to replicate them in other models like Claude Opus, and using it to build knowledge bases or optimize workflows. Furthermore, Anthropic officially recommends two multi-model architectures to drastically reduce costs while maintaining high performance. In the "Advisor" mode, a less expensive model like Claude Sonnet 5 handles most of the work, only consulting Fable 5 for critical decisions. In the "Orchestrator" mode, Fable 5 acts as a planner, delegating token-intensive tasks like reading web pages to Sonnet 5 "worker" agents. Benchmarks show these approaches can achieve over 90% of Fable 5's standalone performance for tasks like coding or fact verification, while slashing costs by 37% to over 50%. A case study on verifying national park policies showed the orchestrator team was 2.5x cheaper and 3x faster than using Fable 5 alone. The core message is that the most efficient way to use premium models is not to run them for entire tasks, but to strategically deploy them for high-level reasoning while offloading bulk work to more affordable models.

marsbit07/08 00:54

Just Now, Claude Fable 5 Gets a 5-Day Extension, Money-Saving Guide Here

marsbit07/08 00:54

Can Open USD Support Stripe's Ambition?

The article explores whether the newly announced Open USD (OUSD) stablecoin can support Stripe's strategic ambition to evolve beyond a payment API company into a "money movement network." It argues that OUSD is not an immediate "USDC killer" but serves as a crucial narrative shift for Stripe. The stablecoin, launched by the independent entity Open Standard with backing from Stripe, Visa, Mastercard, and others, represents an attempt to redefine the economics and governance of stablecoins by sharing reserve asset yields with distributing partners. For Stripe, OUSD is a key piece in moving from simply abstracting traditional financial rails (like card networks) to potentially defining a new settlement layer for global commerce. This aligns with Stripe's broader strategy involving its acquisitions (like Bridge for stablecoin issuance) and projects (like Tempo for payments-focused blockchain) to position itself for "agentic commerce," where AI agents and software conduct automated transactions. The article concludes that while OUSD alone cannot instantly transform Stripe's business, it concretely signals the company's ambition to organize the future infrastructure of money movement, where value may ultimately settle on a network it helped shape.

链捕手07/07 02:55

Can Open USD Support Stripe's Ambition?

链捕手07/07 02:55

GoMining Launches GoBTC Pay SDK to Expand Bitcoin Payments

GoMining has launched the GoBTC Pay Gen1 SDK and API, enabling merchants, wallet providers, and ecosystem partners to integrate Bitcoin payments. This release transforms the technology from a demo into an open infrastructure layer for building scalable Bitcoin payment experiences. An initial group of up to 10 partners will begin integration. The solution facilitates quick, non-custodial transactions that settle directly on the Bitcoin network, allowing users to retain custody of their BTC. It includes merchant tools, a dashboard, payment connectors, and public developer documentation. Powered by a private 15EH/s mempool, it aims for debit card-like speed with an average 12-hour settlement window. A 0.2% transaction fee is distributed equally between participating wallet providers and GoMining pool miners, aligning incentives to promote network growth. This launch is part of GoMining's broader strategy to expand real-world Bitcoin commerce for everyday purchases.

TheNewsCrypto07/01 09:14

GoMining Launches GoBTC Pay SDK to Expand Bitcoin Payments

TheNewsCrypto07/01 09:14

OpenRouter: How Did This 'AI Model Relay Station' Achieve a $10 Billion Valuation?

OpenRouter: The Model Router Building a $10B+ Company This article explores OpenRouter, a platform that aggregates access to over 400 AI models from 70+ providers (like OpenAI, Claude, Gemini) through a single API. It has grown into a unicorn with a $1.3B valuation by 2026, processing massive scale—reaching 100 trillion tokens monthly. Its core value isn't just being a "model supermarket." For developers building real-world AI applications, managing multiple models for different tasks (e.g., cheap models for titles, powerful ones for long articles) is complex. OpenRouter acts as a critical "model scheduling layer," handling routing, failover between providers, cost optimization, and enterprise features like zero-data-retention policies and budget controls. OpenRouter's business model is a "toll fee": it charges a small platform fee (5.5%) on purchased credits while passing model costs directly to users. Its revenue scales with the tokens flowing through its system, which saw explosive growth as AI apps evolved. Key growth drivers include: 1) The explosion of specialized models, increasing choice complexity; 2) AI apps shifting focus from performance to cost optimization; 3) The rise of AI agents that require more reliable, multi-step model calls. However, risks remain. Large enterprises or cloud providers (AWS, Google Cloud) could build similar internal gateways. Its position between model suppliers and developers could also create future tension over pricing and data control. To stay ahead, OpenRouter must deepen its enterprise features and prove it's more than just a request forwarder.

marsbit06/25 02:06

OpenRouter: How Did This 'AI Model Relay Station' Achieve a $10 Billion Valuation?

marsbit06/25 02:06

GPT-5.6 Countdown: Abandon the Illusion of a Single API, Computational Iteration Can't Outpace a Single Page of Compliance

In mid-June, three seemingly independent industry events—the compliance-driven throttling of Fable 5, the open-sourcing of GLM-5.2, and the leaked release timeline for GPT-5.6—are pushing the global AI industry toward a watershed moment. These shifts signal a fundamental restructuring of the industry's underlying logic. First, **"usability" has substantially overtaken "advanced capabilities"** as the primary weight, pushing the global large language model (LLM) supply chain into a "dual-track" phase of controlled closed-source and local open-source coexistence. Second, **the competitive moats of closed-source giants are shifting**. Their technical focus is moving from "language intelligence" toward "spatial intelligence (world models)"—a domain heavily reliant on computing power. Third, faced with常态化 transnational compliance risks, **a "model-agnostic" decoupled design has become a survival necessity for application-layer developers to maintain business continuity.** The article details how Anthropic's Fable 5, despite its advanced engineering feats, was restricted for non-U.S. citizens within 72 hours of launch, highlighting how geopolitical compliance can instantly limit even the most advanced models. In response, the open-source camp, exemplified by Zhipu AI's MIT-licensed GLM-5.2, is gaining market share by offering stable performance improvements and significant cost advantages (up to 70% savings for enterprises), while achieving full adaptation with domestic semiconductor platforms. Meanwhile, closed-source leaders like OpenAI are pivoting. The anticipated GPT-5.6 reportedly shifts focus from language to spatial intelligence and world models, aiming to rebuild a generational gap in areas like 3D understanding, simulation, and industrial design that demand immense compute. The core conclusion is that the LLM supply chain's logic has changed. Enterprises must now evaluate infrastructure based on a composite of technical performance and policy compliance. For developers, complete reliance on a single closed-source API poses unacceptable risk. Implementing a truly model-agnostic architecture—enabling swift switches to compliant, locally deployable open-source alternatives—is no longer just good practice but a fundamental baseline for business continuity.

marsbit06/21 04:40

GPT-5.6 Countdown: Abandon the Illusion of a Single API, Computational Iteration Can't Outpace a Single Page of Compliance

marsbit06/21 04:40

Is the 'Token Subsidy War' Among AI Giants Almost Over?

The article discusses the ongoing "token subsidy war" among AI giants like OpenAI and Anthropic, questioning whether it's nearing its end. It reveals that current AI subscription prices are heavily subsidized, with some plans offering tokens at up to 70 times the actual cost to attract and retain heavy users, especially developers and enterprises. This strategy mirrors past internet-era subsidy battles, but with a key difference: AI tokens lack "lock-in" effects. Unlike ride-hailing or food delivery apps, users can easily switch between AI providers as APIs become standardized, making it difficult for companies to raise prices post-subsidy. The piece highlights a structural asymmetry in the competition. Giants like Google, with massive advertising revenue, can afford to subsidize tokens indefinitely, akin to using "tokens as a weapon." In contrast, venture-backed companies like OpenAI and Anthropic face pressure to become profitable, especially as they approach IPO. The article cites Google Ventures founder Bill Maris, who suggests Google could slash token prices by 80%, putting immense pressure on competitors. Two potential endgames are presented: the "internet service" model (subsidize, monopolize, then raise prices) and the "utility" model (tokens become a standardized, low-margin commodity like electricity). Given the low switching costs, the latter seems more likely. The competition may not have a single winner but could instead accelerate AI's evolution into a foundational, infrastructure-level technology, akin to a public utility. For now, users continue to benefit from heavily subsidized token costs.

marsbit06/21 04:23

Is the 'Token Subsidy War' Among AI Giants Almost Over?

marsbit06/21 04:23

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