SuperAPI AI Directory
Partner with us中文AI newsFavorites

AI developer platforms

3,661 results · Page 52 of 102

AICost

AI developer platforms

AICost is an independent LLM API pricing comparison platform that brings together the input and output costs of major AI models (per million tokens) and notes the date each price was read. The platform manually verifies data from vendors' official pricing pages, covers 23 frontier providers, and offers blended-rate calculations, cache discount explanations, and an LLM API cost calculator to help developers and teams estimate actual API bills. The website also publishes AI market price movements, a log of model releases and policy changes, and weekly summaries. All data notes its verification date, and corrections are publicly available.

Read more

AIProxy

AI developer platforms

AIProxy is a secure AI access solution for iOS apps that protects AI provider API keys and endpoints through a hosted proxy. It uses split-key encryption, DeviceCheck, and certificate pinning to prevent key and endpoint theft or abuse, and provides rate limiting, a usage dashboard, model overrides, a real-time console, and alerts for suspicious activity. Developers can integrate the AIProxySwift client library, which supports more than 15 AI providers, in minutes. The service is deployed on AWS Lambda and can scale horizontally. The material also mentions support for bring-your-own-key configuration.

Read more

AI实时炒股交易 RockAlpha

AI developer platforms

RockAlpha AI Stock Trading Arena, through multi-theme arenas, lets AI models compete in real-time markets based on the same data, and users can track model performance, copy trades, or vote to predict winners. The platform provides transparent display of trading decisions and a unified rule system, supporting user participation in multiple types of investment strategies such as the AI industry, sentiment-driven, and traditional assets.

Read more

AlayaWorld

AI developer platforms

AlayaWorld is a full-stack interactive long-horizon world model open-sourced by AlayaLab, fine-tuned on LTX-2, focusing on "playable video world generation." It adopts an autoregressive world model architecture, supports real-time camera control, prompt switching during generation, and maintains memory consistency over longer time spans. The project is built around four core features: interactivity, consistency, stability, and runtime: trajectory-aware navigation is achieved through a rendered 3D cache combined with AdaLN camera modulation, and new events are introduced mid-generation through block-level prompt switching; spatial recall is performed using explicit 3D cache reprojection, and temporal continuity is maintained with compressed frame history embeddings; long-horizon error accumulation is suppressed through training on drifted history and an error bank reinjection mechanism; real-time interaction is achieved through few-step DMD distillation and short time blocks. The repository provides a unified launcher for training, validation, and four inference paths, and has open-sourced the inference code, full-stack training code, v1.1 weights (AR + DMD), Stage1 bidirectional weights, and part of the training data, and provides a browser-based interactive demo. The project is limited to academic research and non-commercial use, and adopts the LTX-2 community license agreement.

Read more