--- title: Parallel colorFrom: gray colorTo: gray sdk: static pinned: false --- [![Parallel — Web search built for AI scale](https://huggingface.co/spaces/parallel-web/README/resolve/main/assets/parallel-campaign-banner.png)](https://parallel.ai/) # Web search built for AI scale **Web infrastructure for AI to search, extract, monitor, and reason over the world's information.** Welcome to the official Parallel organization on Hugging Face. We build web APIs for AI agents. Give your models access to current information: search the web, extract useful content, research complex questions, monitor changes, and make decisions grounded in web evidence. [Website](https://parallel.ai/) · [Get started](https://platform.parallel.ai/) · [Documentation](https://docs.parallel.ai/) · [GitHub](https://github.com/parallel-web) · [Blog](https://parallel.ai/blog) ## Get started with your agent Copy this prompt into Claude Code, Codex, Cursor, or your preferred coding agent: ```text Use curl to read https://parallel.ai/agents.md and perform the setup to install Parallel. ``` [View the setup instructions](https://parallel.ai/agents.md) · [Start building for free](https://platform.parallel.ai/) ## Build with Parallel - **[Search API](https://docs.parallel.ai/search/search-quickstart)** — Find relevant web sources and retrieve excerpts designed for language models. - **[Extract API](https://docs.parallel.ai/extract/extract-quickstart)** — Turn web pages into clean content for your agent's context. - **[Decisions API](https://docs.parallel.ai/decisions/decisions-quickstart)** — Answer closed-ended questions using evidence from the live web. - **[Task API](https://docs.parallel.ai/task-api/task-quickstart)** — Run deep research and return structured outputs with citations. - **[FindAll API](https://docs.parallel.ai/findall-api/findall-quickstart)** — Discover companies, people, and other entities that match your criteria. - **[Monitor API](https://docs.parallel.ai/monitor-api/monitor-quickstart)** — Track topics on the web and receive updates when new information appears. ## Research and evaluation We're interested in how well AI systems find evidence and use it: web search, retrieval, deep research, and grounded decision-making. This organization is a home for Parallel's evaluation datasets and research resources. For your own evaluations, start with our [Search evaluation guide](https://docs.parallel.ai/search/evaluating-search) and [API documentation](https://docs.parallel.ai/). ## Resources for developers and agents - [API playground](https://platform.parallel.ai/) — Try Parallel and get an API key. - [MCP integration](https://docs.parallel.ai/search/search-mcp) — Connect Parallel to agents through the Model Context Protocol. - [Documentation index for agents](https://docs.parallel.ai/llms.txt) — Find API guides and integration references. - [GitHub](https://github.com/parallel-web) — SDKs, examples, and developer tools.