For GTM engineers building enrichment waterfalls, Icypeas is an email-finding and verification API that other platforms plug in as one provider in a broader waterfall enrichment stack.
Presence & Market Position
#36 of 103
GTM Developer Tools
▲ 11 60-day move
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
Icypeas positions itself as a specialist rather than an all-purpose platform, a single-function email-finding and verification API built to sit inside someone else's enrichment stack, aimed at teams that already run a primary provider and need a second pass on the emails that provider missed. That's exactly how it shows up in practitioner conversation. GTM engineers and agency operators building multi-step enrichment waterfalls describe it consistently as the fallback layer, the provider that runs after a first pass from a larger data source, catching harder-to-find addresses and holding a reputation for catch-all accuracy on contacts other tools return empty. The conversation is workflow-level and technical, stack breakdowns and credit efficiency rather than brand debate.
RevenueBase
BlitzAPI
TheirStack
MillionVerifier
BuiltWithClay, Lemlist, Phantombuster, LaGrowthMachine, Woodpecker, Fullenrich, BetterContact
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Business Profile
Icypeas was founded in Paris in 2022 by Pierre Landoin, a repeat founder, and Corentin Ribeyre, whose background is in AI and data science, after Landoin hit the same manual contact-discovery bottleneck across his earlier companies. The business has stayed small and founder-run, describing its own culture around directness and speed over slower, more bureaucratic norms. Growth has come mostly through embedding into other GTM tools rather than headline funding. The company points to a user base above 7,000 as its main proof point, and no funding round appears in public records to date.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
Icypeas exposes its core product directly to agents through an API and an MCP server that puts email discovery, verification, reverse lookup, and domain scanning inside conversational agent workflows, built to work with Claude, ChatGPT, and other assistants rather than one platform alone. The framing is orchestration, building and enriching a lead list by asking for it in conversation, with the same find-then-verify waterfall logic available to an agent that a person would otherwise run by hand.
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