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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 Glasser?

Glasser operates as a comprehensive marketplace for data APIs specifically designed for AI developers and their agents. By consolidating multiple specialized data providers into a single account and balance, it addresses diverse requirements such as research on companies and individuals, SEO, finance, real estate, employment, social media insights, and product data. Users can investigate the available endpoints, understand input requirements along with their respective costs, and access data through various methods including Glasser's hosted services, a Model Context Protocol (MCP) connection, a command-line interface, or through their agent configurations. Instead of a conventional monthly subscription model, Glasser employs a pay-per-call pricing structure, with rates differing based on the provider and endpoint utilized. The platform supports agent workflows that demand well-organized external data for various purposes such as research, lead generation, data enrichment, analytics, or comprehensive searches. Users have the flexibility to choose which endpoint to engage with, and they can easily see both the results and costs directly within their workspace. Furthermore, the process of searching for endpoints and verifying prices is free of charge, and new users are welcomed with a $1 credit applicable to their first paid calls, presenting a compelling option for those eager to harness a variety of data streams. Ultimately, Glasser not only simplifies the integration of vital data for an array of applications but also significantly boosts the productivity of AI-driven endeavors, making it a valuable tool in today's data-centric landscape.

Media

Media

Integrations Supported

HTML
JSON
Markdown

Integrations Supported

Model Context Protocol (MCP)

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pay as you go, charged per data call; endpoint rates vary by provider and operation. No monthly Glasser subscription. Endpoint search and price checks are free; new accounts receive a $1 credit for paid calls.
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Mozilla

Date Founded

2025

Company Location

United States

Company Website

tabstack.ai/

Company Facts

Organization Name

Super Intent

Company Location

United States

Company Website

glasser.ai/

Categories and Features

AI Development

Not specified

AI Tools

Not specified

Browser Automation

Not specified

Categories and Features

API Marketplaces

Not specified

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