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Partsgraph.ai

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What is Tabstack?

Tabstack is a managed web API platform that lets developers extract, research, generate, and automate across the live web without building their own scraping stack. The platform is designed for teams that want to pass in a URL, schema, question, or task and get back structured data, clean Markdown, cited answers, or completed browser actions. Its /extract/json endpoint returns schema-matched JSON from web pages, making it useful for product details, job listings, pricing pages, marketplaces, directories, and other structured web data. Its /extract/markdown endpoint converts pages into clean Markdown that can be used for RAG pipelines, documentation ingestion, product page indexing, and knowledge base workflows. The /generate/json capability supports reasoned structured output from user instructions, not just direct field extraction. The /research endpoint runs a live-web research agent that selects sources, reads pages, synthesizes findings, and returns cited answers with claim-level support. The /automate endpoint lets users describe a browser task in natural language and have Tabstack navigate, click, fill forms, and complete flows on websites the user does not control. Tabstack supports interactive mode for human input, JavaScript-heavy pages, streaming results over SSE, TypeScript and Python SDKs, MCP connectivity, and CLI access. Its Pilo browser engine is designed to reduce token usage compared with screenshot-heavy approaches while still enabling browser-based automation. Common use cases include competitive intelligence dashboards, lead enrichment pipelines, research agents, booking and checkout agents, back-office workflow automation, and knowledge base ingestion. With privacy-focused handling, no retained corpus, no data sold, no model training on user calls, and plans that include free trial credits, pay-as-you-go usage, team pricing, and enterprise options, Tabstack helps developers give products and AI agents reliable access to the live web.

What is Partsgraph.ai?

At present, a significant 94% of B2B buyers make use of AI during various phases of their purchasing journey; however, these AI technologies often face challenges when trying to analyze product pages filled with JavaScript, PDF datasheets, or other unstructured data. Partsgraph.ai tackles these supply-side issues by extracting product data from manufacturers and distributors across multiple formats, such as PDFs, ERP systems, CAD files, and web crawls. The platform then organizes this information in line with ETIM standards, making it accessible to AI systems through a hosted MCP endpoint, user-friendly agent pages, structured data, and shopping feeds. Each data entry comes with confidence scores and source attribution, in addition to compliance exports for ETIM xChange 2.0 and the EU Digital Product Passport, ensuring the information is accurate and trustworthy. This cutting-edge solution not only boosts the effectiveness of AI systems but also simplifies the purchasing journey for B2B customers. By improving data accessibility and reliability, Partsgraph.ai ultimately enhances the overall user experience for businesses in their procurement processes.