For GTM and IT teams, BuyerCaddy is a technographic intelligence platform that tracks 171,000+ products across company tech stacks and links installs to decision-makers for buying signals and cost benchmarking.
Presence & Market Position
Tracked · below panel floor — earned mentions are accruing toward the next scored window.
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
BuyerCaddy positions itself as the data layer under GTM systems, tracking installed software across companies and linking it to decision-makers so sales and marketing teams can spot buying signals and cost-saving opportunities. That data play now extends into agent infrastructure, with a public API and an MCP server built for AI agents and workflows to query live technographic and buyergraphic data directly, alongside CoPilot, an AI agent aimed at sales and marketing use. The company counts data and RevOps tooling vendors like Clay, G2, and Common Room among its customers, which points to reuse of BuyerCaddy's data inside other platforms rather than end-user-only use. Public conversation about the company is still early.
Captain Data
Dropcontact
Restate
ScrapingBee
ScrapingdogPwC, G2, Clay, Common Room, RelPro, Skaled, Lightcast, NPI, Deltabase, Databar
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Business Profile
BuyerCaddy launched in 2021 out of Santa Barbara, built by Craig Harris and Pawan Nachnani, the founders who previously built HG Insights, one of the earlier technographic data vendors. That lineage shows in the product: a technographic and buyergraphic database now covering more than 171,000 products, sold to a customer base that leans toward other data and GTM infrastructure vendors, including Clay, G2, RelPro, Common Room, and PwC. The company remains independent and stays close to its data-vendor roots, extending the same install-tracking dataset into API and agent-facing access rather than moving into adjacent product categories.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
BuyerCaddy has made technographic and buyer data available through an MCP server for AI agents, applications, and workflows. Its public materials frame the surface around live technology-installation and buyergraphic queries, with defined uses in account discovery, product research, stack benchmarking, and advisory workflows. The offering also includes a demo sandbox and MCP documentation, extending its technology intelligence platform into agent-driven research and prospecting.
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