Problem

LLM agents need current, trustworthy web information, but the underlying work of searching, scraping, filtering, extracting, and verifying sources is technically burdensome and operationally expensive. Without a reliable real-time data layer, agents risk producing stale or poorly grounded answers; live research also becomes slow when developers must coordinate many queries and websites themselves.

The clearest use case is agentic company research: an AI system can gather comprehensive, up-to-date information from multiple sources, adjust its search strategy, retrieve either summaries or raw content, and turn the results into faster analysis and decisions. Tavily’s usage-based model—free monthly credits, pay-as-you-go pricing of $0.008 per credit, volume plans, and custom enterprise pricing—maps the cost of web intelligence to actual API consumption.

Product / Service

Tavily is an API-first web-intelligence layer for AI agents and RAG applications. Its REST API exposes Search, Extract, Crawl, Map, and Research capabilities: Search finds and ranks relevant web sources, Extract converts pages into AI-usable content, and Crawl traverses websites through a graph-based process that can explore many paths in parallel with built-in extraction and discovery.

The delivery model is developer-oriented and self-serve, with free credits, usage-based plans, monthly subscriptions, and enterprise volume pricing. Rather than making each AI developer build a web-research stack, Tavily handles search, scraping, filtering, and extraction through integrated API calls, providing live, structured information that agents can use to answer questions, verify facts, and execute more complex tasks.

Market

Tavily competes in the emerging agentic-search and web-infrastructure market, serving AI agents, LLM applications, and RAG workflows that need real-time external data. It is adjacent to AI search and research platforms; Crunchbase identifies Perplexity, Parallel, and Sakana AI as possible competitors, although the competitive set is still developing as agentic AI adoption expands.

Tavily has substantial evidence of market traction rather than being merely pre-revenue or pre-product: its site reports more than 2 million developers, over 300 million monthly requests, 99.99% uptime, and 180-millisecond median search latency. It raised $25 million, including a $20 million Series A led by Insight Partners and Alpha Wave Global, and was reported as serving Fortune 500 companies along with Cohere and Groq. In February 2026, Nebius announced an agreement to acquire Tavily and said the company would continue operating under its existing brand; the available evidence does not disclose a standalone revenue figure, but the developer adoption, enterprise customers, funding, and acquisition provide strong commercial traction.