
Latest
Give a LlamaIndex.TS agent live web access
A hands-on walkthrough: add five live web tools to a LlamaIndex.TS agent alongside whatever you have indexed, read pages, pull typed fields, and research questions across sources on demand.
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Latest
A hands-on walkthrough: add five live web tools to a LlamaIndex.TS agent alongside whatever you have indexed, read pages, pull typed fields, and research questions across sources on demand.
Read MoreA hands-on walkthrough: hand Tabstack's tools to an OpenAI Agents SDK agent, and understand why the adapter registers them with strict mode off without losing input validation.
A hands-on walkthrough: wire Tabstack's ready-built in-process MCP server into a query() call, understand the mcp__tabstack__ namespacing, and give Claude web access with no separate server to run.
A hands-on walkthrough: spread Tabstack's tools into a Mastra Agent for schema-enforced extraction, research, and browser automation, one import, plus the production knobs and trimming decisions that follow.
A hands-on walkthrough: eve reads its tools from a directory, so wiring in Tabstack is five one-line files, schema-enforced extraction, research, and browser automation, with no array to assemble.
A hands-on walkthrough: give the model Tabstack's web tools with the Vercel AI SDK, then stream a cited answer token by token so users see progress forming instead of staring at a spinner.
A hands-on TypeScript walkthrough: pull pricing off a page, research positioning across sources, generate the judgement calls, then assemble a LangChain.js agent that produces a competitor brief with sources attached.
A hands-on Python walkthrough: call a Tabstack tool on its own, extract typed fields from a page, then hand all five tools to a LangChain agent that answers open questions with citations, in roughly forty lines with no browser to install.
Research and browser agents get the demos. But most of the time the answer is just "fetch this page and give me the clean version," which is a cheaper, deterministic call, not an agent. Turn any URL into clean markdown, or into the exact typed fields you asked for. Here's why it's the right default ...
AI agents cannot manually navigate web dashboards to provision API keys. Tabstack is now integrated with Stripe Projects, allowing developers and autonomous software to provision browsing infrastructure, manage account lifecycles, and handle usage-based billing entirely through the Stripe CLI with a...
Building schemas for AI web scraping is tedious. We built Schema Source, an independent API that instantly reverse-engineers any webpage to generate a production-ready JSON schema. Learn how to combine it with Tabstack to automate programmatic blueprinting, extraction, and data transformations with ...
Following a disclosure from Brave, we patched an indirect prompt injection vulnerability in our automation endpoint. This report details the original exploit behavior and the new isolation boundaries added to the Mozilla Pilo engine.
What happens when an AI web agent needs context it does not have? With Pilo Interactive Mode, it no longer has to guess or fail. This new beta feature lets Pilo pause its reasoning loop, ask the user or a parent agent for the missing data, and seamlessly complete the task.
Tabstack's pricing is evolving to give you more control and flexibility. Enjoy clearer, consistent billing with our new free 10k credit Trial, Pay As You Go Individual plan, or predictable monthly subscriptions. Build without interruption and scale at your own pace!
We rearchitected how Tabstack fetches pages to be faster by default, and added a new effort parameter that puts you in control. Start lightweight, escalate to full browser rendering only when you need it, and build adaptive pipelines that retry intelligently.
Building reliable AI web agents is incredibly complex. To solve this, we are open sourcing Pilo. Pilo is a robust execution engine that uses the accessibility tree, smart context compression, and agentic reasoning loops to reliably navigate the modern web. Run it entirely on your own hardware.
Tabstack Research moves the autonomous reasoning loop into the infrastructure layer. We handle the discovery, extraction, and verification required to bridge the synthesis gap. Access high-fidelity, structured data with inline citations instead of raw HTML noise or model hallucinations.
Building browser infrastructure is a hidden tax on AI development. Tabstack is the developer API that turns the chaotic web into clean inputs for your agents. From rendering SPAs to complex automation, we handle the orchestration so you can focus on reasoning. Reliable, scalable, and built by Mozill...
A hands-on walkthrough: hand Tabstack's tools to an OpenAI Agents SDK agent, and understand why the adapter registers them with strict mode off without losing input validation.
A hands-on walkthrough: wire Tabstack's ready-built in-process MCP server into a query() call, understand the mcp__tabstack__ namespacing, and give Claude web access with no separate server to run.
A hands-on walkthrough: spread Tabstack's tools into a Mastra Agent for schema-enforced extraction, research, and browser automation, one import, plus the production knobs and trimming decisions that follow.
A hands-on walkthrough: eve reads its tools from a directory, so wiring in Tabstack is five one-line files, schema-enforced extraction, research, and browser automation, with no array to assemble.
A hands-on walkthrough: give the model Tabstack's web tools with the Vercel AI SDK, then stream a cited answer token by token so users see progress forming instead of staring at a spinner.
A hands-on TypeScript walkthrough: pull pricing off a page, research positioning across sources, generate the judgement calls, then assemble a LangChain.js agent that produces a competitor brief with sources attached.
A hands-on Python walkthrough: call a Tabstack tool on its own, extract typed fields from a page, then hand all five tools to a LangChain agent that answers open questions with citations, in roughly forty lines with no browser to install.
Research and browser agents get the demos. But most of the time the answer is just "fetch this page and give me the clean version," which is a cheaper, deterministic call, not an agent. Turn any URL into clean markdown, or into the exact typed fields you asked for. Here's why it's the right default ...
AI agents cannot manually navigate web dashboards to provision API keys. Tabstack is now integrated with Stripe Projects, allowing developers and autonomous software to provision browsing infrastructure, manage account lifecycles, and handle usage-based billing entirely through the Stripe CLI with a...
Building schemas for AI web scraping is tedious. We built Schema Source, an independent API that instantly reverse-engineers any webpage to generate a production-ready JSON schema. Learn how to combine it with Tabstack to automate programmatic blueprinting, extraction, and data transformations with ...
Following a disclosure from Brave, we patched an indirect prompt injection vulnerability in our automation endpoint. This report details the original exploit behavior and the new isolation boundaries added to the Mozilla Pilo engine.
What happens when an AI web agent needs context it does not have? With Pilo Interactive Mode, it no longer has to guess or fail. This new beta feature lets Pilo pause its reasoning loop, ask the user or a parent agent for the missing data, and seamlessly complete the task.
Tabstack's pricing is evolving to give you more control and flexibility. Enjoy clearer, consistent billing with our new free 10k credit Trial, Pay As You Go Individual plan, or predictable monthly subscriptions. Build without interruption and scale at your own pace!
We rearchitected how Tabstack fetches pages to be faster by default, and added a new effort parameter that puts you in control. Start lightweight, escalate to full browser rendering only when you need it, and build adaptive pipelines that retry intelligently.
Building reliable AI web agents is incredibly complex. To solve this, we are open sourcing Pilo. Pilo is a robust execution engine that uses the accessibility tree, smart context compression, and agentic reasoning loops to reliably navigate the modern web. Run it entirely on your own hardware.
Tabstack Research moves the autonomous reasoning loop into the infrastructure layer. We handle the discovery, extraction, and verification required to bridge the synthesis gap. Access high-fidelity, structured data with inline citations instead of raw HTML noise or model hallucinations.
Building browser infrastructure is a hidden tax on AI development. Tabstack is the developer API that turns the chaotic web into clean inputs for your agents. From rendering SPAs to complex automation, we handle the orchestration so you can focus on reasoning. Reliable, scalable, and built by Mozill...
The model, the browser, and the orchestration all run on Tabstack. You just make the call.