Sold by: Tavily
Deployed on AWS
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Tavily is the web infrastructure layer built for AI agents, delivering real-time search, scraping, and intelligent crawling securely and at scale.
4.5
Overview
Contact sales@tavily.com for requesting a private offer. Free trials are available for up to 1k credits per month for 90 days.
Tavily Enterprise: The Web Infrastructure Layer for AI Agents. A purpose-built web API for real-time search, scraping, crawling, and structured data retrieval. AI-native enterprises trust Tavily for data enrichment, research, RAG pipelines, and autonomous AI systems-ensuring fresh, accurate, and scalable intelligence.
Why Tavily?
Built for AI Agents : Unlike traditional web APIs, Tavily delivers structured, customizable data retrieval with full control over search depth, domain targeting, and content extraction via a single API call.
Enterprise-Grade Security : SOC 2 certified with zero data retention and an AI security layer to prevent prompt injection and data leakage.
Scalable & Reliable : Custom API throughput, guaranteed uptime, and enterprise SLAs support high-volume AI workloads.
Seamless AI Integration : Deploy with one line of code. Tavily natively supports LangChain, LlamaIndex, and leading AI frameworks with developer-friendly APIs and via the Model Context Protocol (MCP) .
Enterprise-Ready : Designed for scalability, security, and high availability, ensuring fast, reliable data access.
Trusted by 1,00,000+ developers and AI leaders, Tavily is the go-to solution for real-time, structured web access.
Contact us for private offers - sales@tavily.com .
Highlights
- Built for AI Agents : Unlike traditional web APIs, Tavily offers customizable data retrieval with full control over search depth, domain filtering, and content extraction for RAG-ready, agent-compatible outputs.
- Enterprise-Grade Security & Scale : SOC 2 certified with zero data retention, Tavily ensures secure, high-throughput APIs, guaranteed uptime, enterprise SLAs, and dedicated optimization support for AI workloads.
- Seamless AI Integration : With a single line of code, Tavily natively supports LangChain, LlamaIndex, and top AI frameworks, enabling fast, plug-and-play deployment.
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Pricing
Free trial
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Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
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Dimension | Description | Cost/12 months |
|---|---|---|
Tavily Enterprise | Tavily Enterprise delivers secure, scalable web data retrieval for your AI agents, backed by enterprise-grade support and reliability. Free trials are available for up to 1k credits per month for 90 days. | $49,000.00 |
Dimensions summary
This listing has one pricing dimension, billed as a contract for units of Tavily Enterprise. You buy web data retrieval capacity for your AI agents, measured in credits. Each credit maps to API usage across search, extraction, research, crawling, and mapping requests. Cost scales with the number of units you commit to, so higher usage means more units. A free trial covers up to 1,000 credits per month for 90 days, letting you test before committing. The plan includes enterprise-grade support and reliability.
Top-of-mind questions for buyers
A credit is consumed each time your AI agents call the API. Requests include search, extraction, research, crawling, and mapping. Each call draws down credits from your committed units. Higher request volume uses more credits, so you commit to units that match your expected monthly API activity.
Your committed units set the capacity you pay for under the contract. Usage beyond that capacity means you need more units. Since credits map directly to API calls, sustained higher traffic across search, extraction, research, crawling, and mapping draws down credits faster. Contact the vendor to size your commitment for expected volume.
This is a contract. You commit upfront to a set number of units rather than paying per call after the fact. The commitment fixes your capacity for the term. Usage still meters in credits against that capacity, but you plan the spend in advance instead of billing purely on actual consumption.
docs.tavily.com+2
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Vendor refund policy
No refunds, contact us support@tavily.com
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Delivery details
Software as a Service (SaaS)
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Support
Vendor support
support@tavily.com Contact us for private offers - sales@tavily.com
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Customer reviews
Computer Software
Easy App Integration with Quick Responses
Reviewed on Jul 25, 2026
Review provided by G2
What do you like best about the product?
Easy to integrate to my app, quick response
What do you dislike about the product?
a bit expensive, bundled package missing?
What problems is the product solving and how is that benefiting you?
Ground llm answer from internet to enhance llm response
Anonymous
Easy to Use, Budget-Friendly with Seamless API
Reviewed on May 29, 2026
Review provided by G2
What do you like best about the product?
I like Tavily for its ease of use and the fact that it has a pricing structure that is super friendly. I also appreciate the super simple API calls, which made the initial setup process very smooth.
What do you dislike about the product?
i cant think of anything.
What problems is the product solving and how is that benefiting you?
I use Tavily to research and crawl the internet effortlessly, making searching and extracting data from customer websites easier.
Dasha B.
Tavily made our company enrichment pipeline actually accurate
Reviewed on May 05, 2026
Review provided by G2
What do you like best about the product?
Three things stand out for my use case:
(1) Concise and relevant in the same response. I run search across hundreds of thousands of companies, including a long tail of small businesses that Google just doesn't surface well. Tavily gives me results that are filtered down to what's actually about the right company, without burying me in noise or doing so much post-processing that I lose control of the raw signal.
(2) The relevance score on every result. I use it to filter to a clean threshold so my downstream LLM gets exactly the right amount of context, not too little and not too much. This was the missing piece in every other solution I tried.
(3) Integration was effectively a URL swap. I had a SERP-based pipeline already running. Replacing it with Tavily was a five-minute change. I deployed it, it worked, and I haven't had to touch the integration since. Same story when I added Tavily to a LangChain agent we built later.
(1) Concise and relevant in the same response. I run search across hundreds of thousands of companies, including a long tail of small businesses that Google just doesn't surface well. Tavily gives me results that are filtered down to what's actually about the right company, without burying me in noise or doing so much post-processing that I lose control of the raw signal.
(2) The relevance score on every result. I use it to filter to a clean threshold so my downstream LLM gets exactly the right amount of context, not too little and not too much. This was the missing piece in every other solution I tried.
(3) Integration was effectively a URL swap. I had a SERP-based pipeline already running. Replacing it with Tavily was a five-minute change. I deployed it, it worked, and I haven't had to touch the integration since. Same story when I added Tavily to a LangChain agent we built later.
What do you dislike about the product?
Honestly nothing that's blocked me. The one piece of feedback is that I discovered some of the newer endpoints (like Crawl) only because I was preparing for a customer call. More visibility into what's launched recently and good worked-examples for those endpoints would help me get to the next use case faster.
What problems is the product solving and how is that benefiting you?
We pull structured information about hundreds of thousands of companies and feed it into the AI features our customers' sales teams use every day. Vertical, location, similarity, and other signals all start from this base layer. If that data is wrong, everything downstream is wrong.
My V0 used a traditional SERP API plus an LLM. Accuracy was OK but capped. I had a regression set of ten lookups it kept getting wrong, and every prompt fix in one place broke a different one. Typical hit rate was around two out of ten.
When I ran the same set through Tavily, all ten came back correct. That was a step change, not an increment, and it unlocked features we couldn't ship before with confidence.
Today Tavily powers our company enrichment pipeline and the search layer behind our Slack agent, which is used by sales reps at top B2B SaaS companies. The base layer is finally strong enough to build on.
My V0 used a traditional SERP API plus an LLM. Accuracy was OK but capped. I had a regression set of ten lookups it kept getting wrong, and every prompt fix in one place broke a different one. Typical hit rate was around two out of ten.
When I ran the same set through Tavily, all ten came back correct. That was a step change, not an increment, and it unlocked features we couldn't ship before with confidence.
Today Tavily powers our company enrichment pipeline and the search layer behind our Slack agent, which is used by sales reps at top B2B SaaS companies. The base layer is finally strong enough to build on.