For revenue and growth teams building outbound pipelines, FullEnrich is a contact data orchestration layer that waterfalls searches across 20+ vendors via API or MCP, verifying emails and phone numbers in real time for both people and AI agents.
Presence & Market Position
#12 of 113
GTM Developer Tools
▼ 15 60-day move
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
FullEnrich occupies the aggregation layer of GTM data tooling: a waterfall engine that queries more than 20 contact-data vendors behind a single API or MCP call, positioned to replace the practice of stacking several point-solution enrichment subscriptions for both human reps and AI agents. It shows up consistently inside practitioner walkthroughs of GTM engineering stacks and tool-comparison roundups, usually named alongside CRM, sequencing, and other enrichment tools as the layer that resolves contacts once other steps have qualified a lead. It also comes up specifically as a data source agent-builders wire into prospecting and outreach agents, reflecting a steady, well-established footprint in the category.
BetterContact
Findymail
PredictLeads
LeadMagic
ProspeoMongoDB, Autodesk, Deel, Remote, Toptal, Aircall, 11x, Strapi, Gorgias, Bombora, AWS, Bullhorn
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Business Profile
FullEnrich was founded in San Francisco in 2024 by repeat founders out of an earlier startup, Salesramp, who built the waterfall aggregator after running into the cost and coverage limits of single-vendor contact data. The company bootstrapped to $2.1M in annual recurring revenue before raising a $3M seed round in 2025 that valued it at $6.3M, and has grown to roughly 43 employees. It has stayed focused on one problem: pooling more than 20 contact-data vendors behind one interface so sales, marketing, and RevOps teams don't have to buy and stitch together several subscriptions themselves.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
FullEnrich ships both a REST API and a dedicated MCP server, with documentation covering setup and account credits. The MCP exposes lead search and list-building, CSV-based contact enrichment inside a conversation, company and org-hierarchy lookups, outreach drafting, and direct CRM pushes, usable from Claude, ChatGPT, Gemini, and Copilot without leaving the chat. The build-out reads as agent-first: enrichment, verification, and CRM write happen in one continuous workflow rather than as separate steps.
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