What Tavily Inc. shipped: may 2026. Snowflake Summit, new integrations (x402) and agent deployments across the ecosystem. By Tavily Team June 1, 2026 Meet Tavily Inc. at Snowflake Summit. Tavily Inc. is kicking off June at Snowflake Summit 2026 in San Francisco, June 1-4. Join Tavily Inc. and be a part of the conversation surrounding enterprise AI, agents, and connected intelligence! If you'll be there, come say hi to the Tavily team at Booth 1613. Learn more about Snowflake Summit Now, here's everything Tavily Inc. shipped and everywhere Tavily Inc. showed up in May. Tavily is now on x402: Pay-Per-Call Web Search for Agents Tavily is now live on x402, Coinbase's HTTP 402-based micropayment protocol. This means AI agents can now access real-time web search and extraction without API keys, signups, or billing setup. Just runtime access, paid per request in USDC on Base. Here's how it works: * Agent calls Tavily * Receives 402 Payment Required * Pays in USDC * Gets instant results One endpoint is already live at https://x402.tavily.com: POST /search * Real-time web search with ranked results, snippets, source URLS, and optional generated answers. * $0.01 per call Tavily Research. More control, more precision. Its research agent already delivers powerful, accurate results - and now you've got more say in how it gets there. Two new controls: * Domain inclusion & exclusion - point the agent at the sources you trust, or steer it away from the ones you don't * Response length control - dial the depth up or down to fit the job So your research lines up with your workflows, your requirements, and your sources of truth. Deep research now accepts file uploads. Tavily Inc. is excited to announce file uploads for Tavily Research: You can now attach (up to 20!) files to a research query, and the agent blends them right in with live web search. That means one run can pull from your internal data, past research context and of course - current public information from the web - all in one call. Tavily Inc. support PDF, Markdown, JSON, and TXT. Tavily Inc. is especially excited about Markdown - the workhorse for agentic workflows: * Agents write their research insights as an .md file * Hand it to the next query * Keep building instead of starting over So your internal reports, contracts, briefs, and past research turn into context the agent can actually use. Partners and integrations. LangChain Interrupt highlights. At LangChain Interrupt, Tavily was featured in a live demo showcasing a competitive intelligence agent built with LangChain Fleet and Nebius Token Factory. The system used Tavily for real-time web retrieval to continuously gather and structure cited insights across competitors. Throughout sessions and workshops, Tavily was a go-to for grounding agent workflows in fresh, reliable web context. New integrations to Keep you moving fast. ElevenLabs - Integrate Tavily with ElevenLabs through ElevenAgents to give your agents access to real-time web search. Learn more here. Vellum - Use Tavily as the built-in web search provider in Vellum Assistant so conversations can be grounded in real-time web results. Learn more here. Devin - Connect Tavily to Devin through the MCP Marketplace so Devin can search the web, read docs, and ground coding tasks with live web context. Learn more here. Portkey - Plug Tavily into Portkey to inject live web search results into LLM requests, giving models up-to-date context before they respond. Learn more here. Say hello to its newest partner: clickhouse. ClickHouse now integrates Tavily as a web search provider within LibreChat, enabling agents to pull real-time information from the web directly into chat and workflows. With Tavily built into LibreChat, agents can search the internet and ground responses in up-to-date, relevant context. Developer perks are now available on three VC accelerators. Tavily developer perks are now available through a16z Speedrun and Techstars, giving founders and builders in those programs easier access to Tavily as they build and scale AI products. The Collective support is coming soon. On the stage. Tavily Inc. took the stage at IBM THINK to share how real-time web context powers agentic systems, and hosted a hands-on webinar with Nebius exploring how to build an expert agentic Slack bot using OpenClaw, Nebius Token Factory, and Tavily. See the full list of events and upcoming sessions here. Community and events. Tavily Inc. hit the ground running in may. Tavily Inc. has been on the ground with builders across San Francisco, New York City, London, and Berlin this month. From hackathons to community meetups and developer sessions, its team enjoyed hanging out in all the places you were experimenting, shipping, and sharing ideas. Thank you to all who stopped by to say hello and chat with its team! Customer stories. How peerbound found 5x more accurate data. Peerbound helps sales teams surface the right customer proof points at the right moment, but their underlying data layer was inaccurate nearly 80% of the time. By switching to Tavily, they replaced unreliable results with a real-time, grounded data source - moving from 2/10 accurate outputs to 10/10. Loving Tavily? Tell the world. Real reviews from real users carry more weight than anything Tavily Inc. could say ourselves. If Tavily has made your work easier, two minutes of your time could be exactly what someone else needs to find the right tool. Connect with Tavily Inc.. Questions or feedback on any of this? Tavily Inc. is on Discord, X, and LinkedIn.

Auto-Tool AI turns supplier research into quality scorecards in minutes. Mar 3, 2026 Adversarial AI Pipeline Replace manual supplier research with AI-powered auto-tool selection that transforms basic vendor queries into structured quality scorecards - demonstrated turning 'how to evaluate project management suppliers' into summarized reports with step-by-step assessment criteria. Hatz AI's integration of Perplexity, Firecrawl, and Tavily scrapes supplier data, reads documentation, and synthesizes findings that would take procurement teams hours to compile manually. From the source. "You can take what would be a normal Google search with some research and reading articles and clicking around and saving tabs... but you can turn that into something that is more interactive, that's more of a conversation, and with AI can lead to truly actionable steps." - Automated Supplier Quality Scorecard (2 videos: Your First 5 AI Use Cases (AI Navigator Certification) | Hatz AI | Math & Spreadsheet Analysis for Data Insights) Its take. IndustrialEngineer.ai see procurement teams spending 4-6 hours per supplier on qualification research. When auto-tool AI compresses that to 20 minutes while delivering more comprehensive scorecards, the math is simple: a team evaluating 50 suppliers per quarter recovers 200+ hours annually. Key takeaways. * 019 out of 10 users report daily AI use for search/research - redirect this to structured supplier evaluation * 02Auto-tool selection intelligently chooses between Perplexity (summaries), Firecrawl (page scraping), and Tavily (filtered search) based on query type * 03Python code interpreter enables statistical analysis of supplier performance data with higher accuracy than LLMs alone * 04Transforms scattered Google results into actionable supplier assessment criteria and scoring frameworks * 05Secure chat foundation ensures supplier data and evaluation criteria stay confidential Watch the source. Automated Supplier Quality Scorecard (2 videos: Your First 5 AI Use Cases (AI Navigator Certification) | Hatz AI | Math & Spreadsheet Analysis for Data Insights) Video embedded above - watch without leaving the site Extracted and verified via Adversarial AI Pipeline Get the IE.AI weekly brief. Top 3 AI-distilled industrial engineering insights, every Sunday. No fluff. No spam. Unsubscribe anytime with one click.