The PredictLeads Technographics Dataset offers technographics data that identifies the technologies companies use, sourced from company websites, job descriptions, DNS records, cookies, and other signals. It tracks over 46,000 technologies across 65 million companies, with full transparency in sources and methodology for each detection.

Key features include technology detection from multiple reliable sources such as script tags, DNS records, IP ranges, cookies, and job descriptions to ensure accuracy. Each detection includes first and last seen timestamps, and technologies are categorized with parent categories for effective organization and filtering.

The dataset integrates an MCP server to connect with AI agents, enabling structured, real-time access to technology insights for dynamic data retrieval. It also tracks technology relationships to understand dependencies and compatibilities, and provides a discovery endpoint to identify companies using specific technologies like HubSpot or Salesforce.

Data is collected from various sources, and each detection lists the signals used, such as DNS records or job openings, ensuring methodological transparency. The MCP server allows AI systems to retrieve up-to-date information for accurate responses and actions.

Benefits include monitoring technology adoption curves to identify market leaders or declining tools, comparing competitive technologies for market share insights, building Fortune 500 watchlists to track enterprise adoptions, analyzing industry trends for sector-specific preferences, tracking technology migrations to spot replacement cycles, and conducting competitive intelligence by analyzing competitors' tech stacks.

The product is trusted by businesses worldwide for technology intelligence and market research, with availability via API, flat files, webhooks, and MCP server integrations for AI agents.