For developers building GTM and prospecting tools, BlitzAPI is a LinkedIn data API that returns profile, company, and enrichment data through a single endpoint, without the scraping and rate-limit handling that direct LinkedIn access requires.
Presence & Market Position
#41 of 103
GTM Developer Tools
▼ 59 60-day move
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
BlitzAPI is positioning itself as a direct data layer for GTM builders who need profile, company, and enrichment information without managing source-level collection themselves. It has become a recognizable ingredient in practitioner-built prospecting workflows, especially target-account research, contact enrichment, and data waterfalls. Current discussion also places it inside agent-assisted list-building and GTM engineering setups, where API access lets teams assemble data around a specific research task. Its recent presence is practical and builder-led, centered on turning public professional data into usable inputs for outbound systems.
RevenueBase
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TheirStack
MillionVerifier
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Business Profile
BlitzAPI runs as a small, founder-led operation, four people per the current record, built by founder Antoine Blitz around a straightforward premise: sell LinkedIn and company data at scraping-level cost instead of enterprise-enrichment pricing. The company has grown without raising outside funding, positioning affordability and simplicity, a single API endpoint and flat unlimited-style pricing, as the differentiator against larger, higher-priced data platforms. Its presence today runs through the GTM tooling ecosystem, agencies and RevOps teams wiring it into broader data-enrichment stacks rather than positioning it as a standalone destination product.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
BlitzAPI ships as API-first infrastructure: a documented REST API with SDK support, key-based auth, and a guide for MCP integration, letting an agent query and enrich LinkedIn and company data the same way a human workflow would. There's no separate agent-builder layer; the build-out so far focuses on making the raw data endpoint easy for an agent, or a no-code tool, to call directly.
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