For GTM engineers building enrichment pipelines, MixRank is a data provider that sells hourly-updated technographic, firmographic, and people datasets covering 80 million websites and 800 million employee profiles via API and raw feeds.
Presence & Market Position
Tracked · below panel floor — earned mentions are accruing toward the next scored window.
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
MixRank positions itself as owned data infrastructure rather than a resold or brokered feed, emphasizing that it manufactures its technographic, firmographic, and people datasets on its own hardware and has stayed profitable and founder-owned across more than a decade. That ownership framing extends to how it talks about its own metrics: methodology-driven explainers that define terms like hiring velocity precisely rather than treating them as marketing shorthand. It has a quieter footprint so far in the broader GTM conversation, with visibility concentrated in technical, practitioner-facing explanations of how its data holds up against other vendor stacks.
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Business Profile
MixRank was founded in 2011 and has operated as a founder-owned, profitable company for more than a decade, a structure it markets as insulation against the acquisition churn that affects other data vendors. It runs 85 employees and has raised $1.5 million, funding owned datacenters that process millions of record updates hourly across company, people, job-posting, and technographic datasets. Customers span large enterprises including Meta, Amazon, Oracle, and Adobe alongside smaller ad-tech and consultancy buyers, reflecting a business built on direct data access rather than a broader GTM suite.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
MixRank ships API and SDK access to its datasets, along with direct data-warehouse integrations into systems like Snowflake, BigQuery, Redshift, and Postgres, built for pulling structured company, people, and technographic data into downstream systems. Nothing on file shows a dedicated agent-facing surface such as MCP yet.
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