High-performance, AI-safe self-service analytics with a governed semantic layer and beautiful dashboards
Stock research on primary sources with an AI analyst that cites every figure
Stage
Not given
Not given
Founded
Not given
Not given
Based in
US
Not given
Pricing model
Freemium
Freemium
Pricing
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.
Free: 100 API requests/day, ALVIS access, SEC filings and earnings intelligence. Plus: $9.99/month with 100 ALVIS credits weekly, 10,000 API requests/day, delayed stock prices and indicative option quotes. Pro: $19.99 first month, then $49.99/month with 1000 ALVIS credits weekly, real-time stock and
Key features
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
SEC filings full-text and semantic search
Earnings-call transcripts with speaker attribution and audio
13F institutional holdings tracked over time
ALVIS AI analyst with source citations
MCP server and REST API integration
AI stock screener with plain English queries
Supply chain tracking including private companies
Pro Trackers: turn websites into verified datasets
International listings for European, Chinese and Hong Kong stocks
Index rebalancing forecasts and probabilities
What makes it different
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
Built at Netflix for enterprise-scale analytics
Every extracted figure cites its source filing
Primary-source data parsed from original filings, never third-party estimates
Open-source foundation with publicly available code
Data available through CSV exports for Excel and Google Sheets
Strata
Equibles