Tavily
Tavily is a real-time search API optimized for AI agents and RAG workflows, delivering low-latency web search, structured content extraction, domain crawling, and automated research for production-grade agent integrations.
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Key Features
Semantic search
LLM-optimized search with time, domain, topic, and depth controls for precise retrieval.
Content extraction
Transforms webpages into cleaned Markdown, summaries, or JSON for LLM ingestion.
Domain crawling
Intelligent URL discovery with robots.txt compliance and dynamic content handling.
Research API
End-to-end automated research that synthesizes results and deduplicates sources.
Agent safety
Built-in firewall blocks prompt injection and prevents data leakage to agents.
Low-latency scaling
Dynamic caching and agent-native indexes designed for production workloads.
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Why Choose Tavily
Agent-native design:
Built specifically for AI workflows, not repurposed from human search engines.Research API:
One-call autonomous research with multi-step reasoning and deduplication.Cost efficiency:
Bundled raw content and tiered credits reduce extraction costs at scale.Enterprise security:
Firewall and prompt-injection protections integrated with Nebius cloud.
Pricing
Tavily offers a Free Researcher tier (1,000 credits/month, no credit card). Tiered monthly plans provide larger credit pools; pay-as-you-go is available at $0.008 per credit. Enterprise plans use custom pricing and credit bundles. Credits apply differently for basic, advanced, and research operations.
About Tavily
Tavily is a real-time search API optimized for AI agents and RAG workflows, delivering low-latency web search, structured content extraction, domain crawling, and automated research for production-grade agent integrations.
What Tavily Does
Tavily provides a single API for AI systems to access live web data: it performs relevance-optimized semantic search, extracts and cleans webpage content into LLM-ready formats, crawls domains at scale while respecting robots.txt, and returns structured outputs for downstream models. The service is built for low-latency production use by agents.
Its feature set includes time-range and domain controls, depth settings for search, Markdown and JSON extraction, deduplication, and multi-step Research API calls that synthesize findings. Agent-native safety features such as a firewall and prompt-injection protection reduce risk when calling the live web.
Use cases include RAG pipelines, autonomous research agents, automation flows with n8n, and enterprise integrations where timely, structured web data is required.
Pros & Cons
AI-optimized
Delivers fresh, structured snippets tuned for LLM and RAG consumption.
Production-grade
Low latency and dynamic caching for high-throughput agent workloads.
All-in-one API
Single endpoint covers search, extraction, crawl, and research functions.
Integrations
Native connectors for LangChain, LlamaIndex, Vercel AI SDK, and n8n.
Complex pricing
Dual credit costs for search and extraction can make budgeting unpredictable.
Limited filters
Fewer advanced category filters such as people/company or code-specific retrieval.
Static content
Returns page content independent of query specificity, increasing downstream processing.
Frequently Asked Questions
Tavily's free tier includes 1,000 API credits per month with no credit card required, intended for research and initial development.
Tavily charges 1 API credit per basic search request; credits are included in monthly plans or via pay-as-you-go at $0.008 per credit.
Tavily Research is offered in 'mini' and 'pro' variants, with mini typically using 4–110 credits and pro using 15–250 credits per research operation.
Tavily includes raw content when requested: use include_raw_content to fetch full page text at no additional extraction charge.
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