Market research platform for eCommerce data and insights
High-performance, AI-safe self-service analytics with a governed semantic layer and beautiful dashboards
Stage
Not given
Not given
Founded
Not given
Not given
Based in
US
US
Pricing model
Free trial
Freemium
Pricing
Not given
Free: 1 Developer, 25 Users, 2 data sources per project. Team: 3 Developers, 50 Users, unlimited data sources per project. Enterprise: Custom developers and users. Free plan includes email support (3-day response), Team adds 24-hour response aim, Enterprise includes custom support.
Key features
SKU-level sales analysis
Product revenue data tracking
Brand sales metrics
Technology stack identification
Advanced filtering by revenue, location, category, and tech
AI-powered search
Inventory monitoring
Custom smart lists and alerts
Real-time email and Slack notifications
Tool integrations
Beautiful-by-default dashboards with automatic layout and styling
Grain-safe automatic cross-domain blending that prevents double-counting
Federated smart OLAP routing for sub-second query response
Five measure types plus segments for flexible metrics
Agent builder with inherited row-level security
Row-level security and masking in the semantic model
Google Sheets add-on for data delivery
Scheduled reports and subscriptions
Semantic Layer as Code with YAML configuration
Dynamic Universes for open data model exploration
What makes it different
Monitors nearly 3 million brands and 87 million products
SKU-level product performance data
Comprehensive brand filters including revenue, location, tech stack, and competitors
AI-powered insights from complex ecommerce data
Real-time alerts and smart list monitoring
Correctness by construction with grain-safe joins that refuse invalid combinations
Agent-native architecture where agents query the same semantic layer as humans
Federated OLAP routing for sub-second performance without warehouse overload
Open source semantic query engine (0sql) available under MIT license