Tavily
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About
Tavily is a specialized search engine and web extraction platform designed specifically for artificial intelligence agents and large language models (LLMs). Unlike traditional search engines that are built for human consumption, this tool focuses on delivering structured, high-quality, and real-time data that AI can ingest directly. By acting as a secure bridge between the vast, unstructured information on the internet and the specific requirements of AI workflows, it allows developers to keep their models grounded with the most current information available, significantly reducing the risks of hallucination. The platform operates through a single, unified API that integrates multiple advanced capabilities, including real-time web search, automated research, and site crawling. In practice, this means developers can send a request and receive clean, optimized context instead of raw, noisy HTML. The system is designed to navigate the complexities of the modern web to extract only the most relevant content, which helps in optimizing token usage and improving the overall reasoning quality of the connected AI agent. This makes it an essential infrastructure component for building robust Retrieval-Augmented Generation (RAG) systems. This tool is ideal for AI researchers, software engineers, and data scientists who are moving from early-stage prototypes to production-ready AI applications. It is particularly well-suited for industries that require up-to-the-minute data, such as financial analysis, news monitoring, and competitive intelligence. Because the platform offers a range of tiers from a free researcher plan to enterprise-grade solutions, it supports everyone from individual hobbyists to large-scale corporate teams looking for scalable web connectivity. What sets this solution apart from general-purpose search APIs is its commitment to the "agentic web." While standard tools often return advertisements or metadata optimized for clicks, this platform prioritizes the extraction of raw knowledge and factual evidence. Its reputation as a trusted provider for over one million AI builders highlights its reliability and the effectiveness of its specialized search algorithms in serving the unique needs of machine learning architectures.
Pros & Cons
Offers 1,000 free API credits per month without requiring a credit card for signup.
Specifically optimized for AI agents, providing structured context rather than human-centric web pages.
Trusted by a community of over one million AI builders for production-level reliability.
Provides a dedicated free tier specifically to support student research and learning.
Combines searching, extraction, and crawling into a single, easy-to-use API.
The Pay As You Go rate of $0.008 per credit can lead to high costs for intensive automated tasks.
Standard paid plans like the Project tier are limited to email-based support.
Specific rate limit details for the free and lower-tier plans are not explicitly defined on the pricing page.
Use Cases
AI Developers can use the API to connect RAG applications to real-time web data, ensuring outputs are accurate and current.
Market researchers can automate the extraction of competitive data and news across the web using structured AI-ready context.
Solo creators can leverage the 1,000 free monthly credits to prototype and test new AI agent concepts without upfront costs.
Enterprise engineering teams can utilize the custom API calls and SLAs to power business-critical AI agents at scale.
Students can use the free educational access to learn how to build sophisticated, web-connected AI tools for school projects.
Platform
Features
• enterprise-grade security
• real-time web search
• structured data extraction
• customizable rate limits
• high-quality research grounding
• optimized context for llms
• single secure api
• automated web crawling
FAQs
What is the primary benefit of using this tool over a standard search engine?
This platform is optimized for AI agents rather than humans, delivering high-quality, structured web context instead of traditional search results. This allows agents to remain grounded and scale efficiently from prototypes to production.
Does the platform offer any free access for developers?
Yes, there is a Free 'Researcher' plan that includes 1,000 API credits per month. No credit card is required to sign up for this tier, making it easy for creators to get started.
Is there a special plan for students and academics?
The service is offered at no cost for students to support the pursuit of knowledge. Students can apply for this access to develop their AI research and development skills.
What capabilities are included in the single API?
The API provides a unified interface for real-time search, data extraction, automated research, and web crawling. This simplifies the process of connecting AI agents to the web through one secure endpoint.
How does the Pay As You Go billing work?
The Pay As You Go plan charges $0.008 per credit, allowing for flexible usage without a fixed monthly commitment. Users only pay for what they use and can cancel the arrangement at any time.
Pricing Plans
Enterprise
Unknown Price• Custom API calls
• Custom rate limits
• Enterprise-grade support and SLAs
• Enterprise-grade security and privacy
Job Opportunities
Applied AI Researcher
Connect AI agents to the real-time web for seamless search, extraction, and research through a single API, ensuring high-quality, structured context at scale.
Education Requirements:
M.Sc. in Computer Science, Data Science, or a related technical field
B.Sc. with 3+ years of hands-on experience in AI/ML applications
PhD in Computer Science (Nice to Have)
Experience Requirements:
3+ years of hands-on experience in AI/ML applications (if B.Sc.)
Strong understanding of LLMs, embeddings, cross-encoders, vector search
Experience running experiments and analyzing results with rigor
Experience in a fast-paced startup (Nice to Have)
Paper publications in conferences (Nice to Have)
Other Requirements:
Familiarity with open-source libraries, models and research environments
Ability to translate ideas into prototypes and iterate quickly
Responsibilities:
Be the expert in the latest research and tooling around LLMs and RAG
Develop benchmarks and evaluation frameworks
Productionize research and build end-to-end reliable systems
Contribute to internal research documentation
Stay up to date on academic and open-source developments
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Data Engineer
Connect AI agents to the real-time web for seamless search, extraction, and research through a single API, ensuring high-quality, structured context at scale.
Education Requirements:
Degree in Computer Science, Statistics, Engineering, or a related quantitative field
Experience Requirements:
3+ years of professional experience as a Data Engineer
Proficiency in Python
Experience with relational databases (SQL) and NoSQL databases
Experience with AWS and their data services
Experience with big data technologies (Preferred)
Other Requirements:
Experience with Mongo/Snowflake/Redis/S3
Experience with Airflow
Familiarity with containerization and orchestration tools
Knowledge of data governance and data security
Responsibilities:
Design, build, and maintain efficient and reliable ETL/ELT pipelines
Develop and improve data infrastructure
Ensure data quality, integrity, and security across all platforms
Optimize data systems for performance and scalability
Troubleshoot and resolve issues related to data pipelines
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QA Engineer
Connect AI agents to the real-time web for seamless search, extraction, and research through a single API, ensuring high-quality, structured context at scale.
Benefits:
Young, open, and inclusive culture
Chance to build at the forefront of agentic AI
Full medical and dental coverage
Deep-work culture
Monthly Cibus
Experience Requirements:
3+ years of experience in QA Engineering
Strong emphasis on backend/API testing
Hands-on experience with test automation frameworks
Experience testing distributed systems, microservices, or data pipelines
Familiarity with AI/ML systems
Other Requirements:
Strong understanding of REST APIs
Experience with CI/CD pipelines
Familiarity with cloud environments (AWS preferred)
Excellent communication in English
Responsibilities:
Design and execute test strategies for search API and content extraction
Build and maintain automated testing frameworks
Develop testing approaches for non-deterministic AI outputs
Create performance and load testing suites
Collaborate with developers to implement CI/CD quality gates
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