Features
AI agent for data analysis that learns your data context
Multi-language notebook (Python, SQL, R, GraphQL)
Git-native versioning with two-way sync
Parallel and scalable cloud execution
One-click deployments to APIs, apps, dashboards
Scheduled jobs and pipelines
Conversational reports for stakeholders
Automatic data warehouse discovery (schema, lineage, quality)
Institutional knowledge persistence across projects
BYOK (bring your own API keys) for AI models (OpenAI, Anthropic)
Self-hosting via AWS CloudFormation templates
On-premise air-gapped deployment (Enterprise)
Credit-based usage system (Zerve credits)
Referral and publishing rewards (earn credits)
Collaborative editing with real-time agent assistance
Natural language AI writes Python, SQL, formulas, charts
Live data connectors: Postgres, MySQL, Snowflake, BigQuery, QuickBooks, Plaid
MCP support for AI agents (Claude, Cursor, ChatGPT)
API for reading/writing cells and triggering AI runs
Import CSV, Excel, PDF, Google Sheets
Scheduled tasks for automated data refresh
Conditional formatting and merged cells
STOCKHISTORY function for financial data
Images and embeds in spreadsheets
AI-generated code with explanations that are editable
Collaborative sharing with repeatable insights
Folders for organizing files
Python, SQL, JavaScript, and formula cells
Agent Sync to link apps and APIs into spreadsheets
SOC 2 and HIPAA certified
