unify vs datatomcp

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

unify compared with datatomcp
Detail	unify	datatomcp
What it does	Models that keep learning	CSV and Google Sheets MCP server and REST API for AI agents
Stage	Not given	Not given
Founded	Not given	Not given
Based in	US	NL
Pricing model	Not given	Not given
Pricing	Not given	Free: €0, 3 datasets, 100,000 rows per dataset, 1,000 queries per day, 2 people. Pro: €12/month or $12/month, 25 datasets, 2,000,000 rows per dataset, 50,000 queries per day, 5 people per workspace. Business: Custom pricing.
Key features	Continuous model training from user interactions Automatic quality improvement Reduced latency and cost over time User-owned learning flywheel	Automatic dataset linking by shared IDs and codes Supports MCP protocol for Claude, ChatGPT, and Cursor REST API for apps and automations Automatic version tracking on data changes Team collaboration with role-based access Messy file import with validation reports EU data hosting with no AI provider access Activity logs showing data changes and queries
What makes it different	Models learn inside the harness rather than remaining frozen Eliminates the limitation of frozen models with notepads	Query results use 475 times fewer tokens than pasting entire sheets Exact totals computed by database instead of estimated by AI Read-only by design prevents agents from modifying data Hosted in EU with automatic backups and 14-day retention One MCP URL works across multiple AI agent platforms
Free plan	Not given	Not given
Open source	Not given	Not given
Platforms	Not given	Not given
Public API	Not given	Not given
Community votes	0	0
DR (Domain Rating by Ahrefs)	56 no change since last check	3 no change since last check
Trust Flow (Majestic)	26	0
Citation Flow (Majestic)	37	23
Referring domains (Majestic)	610	12

4 details filled in for both companies.

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