Parallel.ai

# Parallel > Parallel's web APIs (Search, Extract, Task/Deep Research, FindAll, Chat, and Monitor) give AI agents and developers high-quality, low-latency access to the web for research, content extraction, entity discovery, and continuous monitoring. ## Docs - [Parallel API Overview](https://docs.parallel.ai/getting-started/overview.md): Explore Parallel's web API products for building intelligent applications. - [Parallel API Pricing](https://docs.parallel.ai/getting-started/pricing.md) - [API Rate Limits](https://docs.parallel.ai/getting-started/rate-limits.md): Default API rate limits for Search, Extract, Tasks, Chat, FindAll, and Monitor endpoints - [Parallel API Glossary](https://docs.parallel.ai/getting-started/glossary.md): Key terms and concepts used throughout Parallel's documentation - [Search API Quickstart](https://docs.parallel.ai/search/search-quickstart.md): Execute natural language web searches and retrieve LLM-optimized excerpts with the Parallel Search API - [Search API Best Practices](https://docs.parallel.ai/search/best-practices.md): Craft effective objectives and search queries for the Parallel Search API, including tool-calling agents and evals - [Search Modes](https://docs.parallel.ai/search/modes.md): Configure the Search API mode for your use case - [Migrate to Parallel Search](https://docs.parallel.ai/search/migrate-to-parallel.md): Move from Exa, Tavily, SERP APIs, or built-in model search to the Parallel Search API - [Advanced Search Settings](https://docs.parallel.ai/search/advanced-search-settings.md): Advanced configuration for source policy, fetch policy, excerpt settings, location, and result count - [Source Policy](https://docs.parallel.ai/search/source-policy.md) - [Search MCP](https://docs.parallel.ai/search/search-mcp.md) - [Upgrade from Beta to GA](https://docs.parallel.ai/search/search-migration-guide.md): Migrate from Beta to GA (V1) Search API - [Extract API Quickstart](https://docs.parallel.ai/extract/extract-quickstart.md): Convert any public URL into clean, LLM-optimized markdown with the Parallel Extract API - [Extract API Best Practices](https://docs.parallel.ai/extract/best-practices.md): Learn how to optimize web content extraction with objectives, search queries, and fetch policies for LLM-ready markdown output - [Advanced Extract Settings](https://docs.parallel.ai/extract/advanced-extract-settings.md): Advanced configuration for fetch policy, excerpt settings, and full content extraction - [Extract Migration Guide: Beta to GA](https://docs.parallel.ai/extract/extract-migration-guide.md): Migrate from Beta to GA (V1) Extract API - [Task API Quickstart](https://docs.parallel.ai/task-api/task-quickstart.md): Transform complex knowledge work into programmable, repeatable operations powered by AI web research - [Task API Best Practices](https://docs.parallel.ai/task-api/best-practices.md): Best practices for writing Task Specs and caching outputs when using Parallel's agent products - [Task Spec](https://docs.parallel.ai/task-api/guides/specify-a-task.md): Define structured research tasks with customizable input and output schemas. - [Processors](https://docs.parallel.ai/task-api/guides/choose-a-processor.md): Select the right Task API processor (lite, base, core, pro, ultra) based on task complexity and latency requirements - [Task Runs Lifecycle](https://docs.parallel.ai/task-api/guides/execute-task-run.md): Understanding how Tasks Runs are created, processed, and returned - [Research Basis](https://docs.parallel.ai/task-api/guides/access-research-basis.md): Understand how to access citations, reasoning, and confidence levels for your Task Run outputs - [Interactions](https://docs.parallel.ai/task-api/guides/interactions.md): Chain context across multiple API calls using interaction IDs - [Interactive Research](https://docs.parallel.ai/task-api/examples/interactive-research.md): Build an interactive research app with multi-turn context chaining - [Task API Deep Research Quick […gekürzt]