| What it does | Semantic context layer that helps AI agents understand your business data accurately
| CSV and Google Sheets MCP server and REST API for AI agents
|
|---|
| Stage | MVP
| Not given
|
|---|
| Founded | Not given
| Not given
|
|---|
| Based in | Not given
| 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 | - Connects to 15+ data systems including Snowflake, Databricks, BigQuery, Redshift, dbt, Airflow, Tableau, Looker, Power BI and Postgres
- Extracts structural metadata including databases, schemas, tables, views, columns and relationship lineage
- Provides Web-UI, MCP server and REST APIs for accessing semantic context
- Automatic incremental updates with configurable sync schedules from on-demand to daily or weekly
- Role-level access controls and data classifications including PII, PHI and SPII
- Only reads metadata without accessing or moving actual data from systems
- Integrates with quality monitoring tools including Monte Carlo, Anomalo and Bigeye
| - 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 | - Eliminates confident AI mistakes by grounding agents in semantic context instead of having them guess from table names
- Reduces AI token costs and speeds up answers by resolving schema and joins once upstream instead of in each agent query
- Ensures consistent answers across all agents and teams using the same definitions and business logic
- Provides complete traceability and auditability of AI decisions with documented context and ownership
| - 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) | 9 ▲ +1 (up) since last check | 3 ● no change since last check |
|---|
| Trust Flow (Majestic) | 1 | 0 |
|---|
| Citation Flow (Majestic) | 24 | 23 |
|---|
| Referring domains (Majestic) | 29 | 12 |
|---|
Kanlet
datatomcp