Klazify

@Klazify can you categorize stripe.com and show me its IAB classifications with confidence scores?

Based on Klazify's analysis, stripe.com falls into these IAB V3 categories: Business and Finance > Business Software (confidence: 0.94), Technology & Computing > Software (confidence: 0.89), and Business and Finance > Payment Processing (confidence: 0.87). The high confidence scores indicate strong classification certainty. This example illustrates how Klazify maps domains to its 620+ category taxonomy, useful for content filtering, ad targeting, or market segmentation.

This showcases Klazify's core categorization engine. Requires an API key with categorization access. Confidence scores help you assess reliability—anything above 0.80 is typically considered strong. Note that categories reflect the domain's primary content at analysis time; sites with diverse content may span multiple categories.

@Klazify pull the full company profile for shopify.com including employee count, revenue estimates, and funding data.

Klazify returns: Shopify Inc. is headquartered in Ottawa, Canada with approximately 10,000+ employees. Estimated annual revenue: $5.6B (2023). The company has raised $122M in total funding across multiple rounds. Industry classifications include E-commerce Platform, SaaS, and Retail Technology. This example demonstrates how Klazify enriches domain data with business intelligence, combining public records and proprietary analysis to provide firmographic context.

This write demonstrates Klazify's business intelligence layer beyond categorization. Data accuracy depends on public availability—private companies or recent changes may show estimates rather than confirmed figures. Useful for lead enrichment, market research, or competitive analysis. Revenue and employee counts are periodically updated but not real-time.

@Klazify compare the tech stacks of vercel.com and netlify.com, then summarize which platform uses more modern infrastructure tooling.

Vercel's stack includes: Next.js (framework), Cloudflare (CDN), AWS (infrastructure), Turborepo (build system), and Edge Functions. Netlify uses: React (framework), Netlify Edge (CDN), AWS (infrastructure), and Netlify Functions. Analysis: Both platforms leverage edge computing and AWS backbone, but Vercel shows tighter integration with its own Next.js framework and Turborepo for monorepo optimization. Netlify maintains framework-agnostic tooling. This example shows how Klazify's tech stack detection enables competitive infrastructure analysis when paired with AI reasoning.

This synthesis example combines Klazify's tech stack tool with AI interpretation. The MCP detects technologies via website fingerprinting—accuracy is high for client-side tech but may miss proprietary backend systems. Ideal for competitive intelligence, sales prospecting (identifying companies using specific platforms), or migration planning. Stack data reflects what's publicly detectable, not necessarily the complete infrastructure.

When Klazify beats manual research for outbound lists

A 10-person B2B SaaS startup building outbound lists needs to qualify 200 inbound signups per week—filtering out students, freelancers, and non-target verticals before sales touches them. Klazify's Categorize URL and Get Company Data tools let the team run domains through IAB classification and pull employee count in one pass, then route qualified leads to the CRM. The confidence scores (returned with each category) help flag edge cases for manual review. This works until you hit enterprise scale: if you're processing 2,000+ domains daily, the per-call latency adds up and you'll want batch endpoints or a dedicated enrichment vendor. For early-stage teams running lean ops, Klazify turns a 4-hour weekly research slog into a 20-minute Switchy workflow.

How Get Tech Stack and Similar Companies speed positioning research

A 6-person product marketing team at a developer tools company needs to map the competitive landscape every quarter—who's using what stack, who's targeting the same buyer, and where the white space is. Klazify's Get Tech Stack tool pulls framework and platform data for any competitor domain, while Get Similar Companies surfaces adjacent players the team hasn't tracked yet. The combo gives you a snapshot of the category in 30 minutes instead of two days of manual scraping. The limit: tech stack data is surface-level (public-facing tools only, no internal infra), so this replaces breadth research, not deep technical teardowns. If your positioning hinges on infrastructure choices competitors don't advertise, you'll still need engineering interviews. For quarterly landscape updates and board deck ammo, Klazify gets the job done.

When domain metadata helps route inbound tickets faster

A 4-person support team at a no-code platform gets 50+ 'how do I integrate with [random SaaS tool]' tickets per week. Instead of Googling every domain to figure out what the tool does, they use Klazify's Categorize URL and Get Domain Logo tools in a Switchy prompt to auto-tag tickets with IAB category and visual context before assigning them. A ticket about 'integrate with acme-crm.io' gets tagged 'Business Software > CRM' and shows the logo, so the agent knows it's a CRM request before opening the thread. This shaves 90 seconds per ticket and prevents misroutes. The trade-off: if the inbound tool is brand-new or niche, Klazify's confidence score drops below 0.6 and you're back to manual lookup. For established SaaS ecosystems, it's a no-brainer time-saver.