docs.brightdata.com

# Bright Data Docs ## Docs - [Account Management](https://docs.brightdata.com/account-management-quickstart.md) - [Agent Web Access](https://docs.brightdata.com/ai/agents.md): Complete web infrastructure for AI agents that need reliable, scalable web access. Production-ready APIs for enterprise-scale web access. - [Answer Engine](https://docs.brightdata.com/ai/answer-engine.md): Build high-concurrency AI answer engines that retrieve, verify, and deliver accurate, cited responses in real time. Production-ready architecture for RAG pipelines and enterprise knowledge systems. - [Data Enrichment Agent Quickstart](https://docs.brightdata.com/ai/cookbooks/data-enrichment.md): Build an AI-powered data enrichment agent in 10 minutes using LangGraph + Bright Data - [Sales Intelligence with Haystack](https://docs.brightdata.com/ai/cookbooks/haystack-sales-intelligence.md): Build an AI sales research assistant using Haystack, MongoDB Atlas, and Bright Data - [Deep Research](https://docs.brightdata.com/ai/deep-research.md): Build AI research agents with Bright Data: real-time SERP, historical data, and multi-step site navigation for competitive and market intelligence. - [Data Enrichment](https://docs.brightdata.com/ai/enrichment.md): Build AI agents that automatically fill CRM data, enrich leads, and complete customer records at enterprise scale. Master the search-and-extract pattern for enrichment operations. - [Query Bright Data Docs from Your Agent](https://docs.brightdata.com/ai/for-agents/docs-mcp.md): Connect your AI coding agent to Bright Data's documentation via Model Context Protocol. Search and retrieve docs as native MCP resources - no scraping required. - [LLM-Friendly Documentation References](https://docs.brightdata.com/ai/for-agents/llm-references.md): Plain-text and machine-readable versions of all Bright Data documentation - built for AI agents, RAG pipelines, and LLM context injection. - [Bright Data for AI Coding Agents](https://docs.brightdata.com/ai/for-