For GTM teams building outbound lists, RevenueBase is an AI-driven B2B database that pairs company and contact records with enrichment, giving reps and RevOps teams a single source of prospecting data.
Presence & Market Position
#41 of 102
GTM Developer Tools
▼ 30 60-day move
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
RevenueBase is positioning itself as B2B data infrastructure rather than a database vendor: flat-rate, continuously-verified contact and company feeds paired with clean-and-enrich APIs, built for GTM product companies embedding data into their own tools, sales and marketing teams replacing stale CRM records, demand-generation agencies running multi-client campaigns, and AI developers training on structured B2B data. Presence in the conversation is rising. What shows up is practitioner and workflow talk rather than launch coverage: where it sits in a waterfall enrichment sequence, how its flat pricing and data freshness stack up against per-credit providers, and how operators wire it into TAM-sourcing and list-building setups feeding outbound campaigns.
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Business Profile
Founded in 2021 by Mark Feldman (previously VP of marketing at NetProspex, acquired by Dun & Bradstreet) and Milenko Beslic, RevenueBase raised early backing from Bessemer Venture Partners and has taken in roughly $10.8 million to date. The team is small, about 15 people, running as an independent company. Recent public updates track a shift from credit-metered data access to flat-rate, unlimited feeds, alongside steady expansion of its contact and company database and a stated quality push to prune outdated records rather than just add volume. The company emphasizes verification and data provenance as its core differentiator over scale alone.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
RevenueBase ships a REST API (v2, key-header auth) covering email verification and company/contact matching with semantic search. Documentation includes integration guides for Claude Code, Cursor, and Windsurf, pointing product data directly into AI coding and agent workflows. Public product writing frames clean, continuously-verified data as a prerequisite for reliable AI agent output, and recent releases have moved toward flat, unmetered access sized for automated query volume rather than manual seat-based use.
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