For developers and GTM engineers building enrichment tools, Crustdata is a real-time people and company data API with a native MCP server, letting AI agents pull fresh firmographic and person data directly into workflows.
Presence & Market Position
#91 of 103
GTM Developer Tools
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
Crustdata is positioning itself as the real-time people and company data layer for GTM engineers and agents that need fresh records through API or MCP. Practitioner conversation is practical and workflow-heavy. Teams use it to identify buying committees, build advertising audiences, enrich location and employment data, support recruiting agents, and compare provider accuracy on specific fields. The discussion also reflects a modular data-stack mindset, with Crustdata selected for the attributes it handles well and paired with other providers where needed. That makes its current presence builder-led and grounded in programmatic enrichment work.
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UnipileY Combinator, MNTN, Appsmith, agent.ai, Scalis, Scend
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Business Profile
Crustdata was founded in 2023 by Abhilash Chowdhary, Manmohit Grewal, and Chris Pisarski, and went through Y Combinator's Fall 2024 batch. The company closed a $6M seed round backed by Y Combinator, A Capital, General Catalyst, SV Angel, and Phosphor Capital. It runs lean, with a team of roughly 33 people out of San Francisco and New York, and by its own account grew fast in its first year live, reaching profitability with a single-person sales team and no outbound spend, powered instead by its own platform and referrals. The company frames itself as a challenger to established enrichment vendors like ZoomInfo and Clearbit, betting on real-time freshness over static datasets.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
Crustdata built agent access in from the start: a REST API alongside a native MCP server that lets an agent query fresh people and company data mid-task instead of working from a stored export. Practitioners are already wiring that MCP server into multi-step agent workflows: ICP scoping, persona enrichment, buying-committee mapping. Recruiting-focused Claude Skills have been built on top of it too. The build-out reads agent-first rather than agent-adapted.
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