Platform Overview
Spartera operates as a two-sided marketplace: one platform for creating and managing analytics assets, and one for buying and consuming them. Both sides connect through a single API layer that handles authentication, billing, and execution orchestration.
The Two Platforms
Analytics Platform — app.spartera.com
This is where data providers (sellers) work. You connect your databases, write analytical logic in SQL, test and validate assets, set pricing, and publish to the marketplace. Think of it as your analytics development and operations hub.
Who uses it: Data engineers, analytics engineers, data scientists, platform teams.
Core workflows:
- Connect data sources (BigQuery, Snowflake, Redshift, and more)
- Create calculation and visualization assets
- Use AutoInsights to auto-generate assets with AI
- Test assets on 10% sample data before publishing
- Monitor usage, revenue, and performance
Marketplace — marketplace.spartera.com
This is where analytics consumers (buyers) discover and purchase insights. Browse by category, preview results, purchase credits, and integrate analytics into any application via REST API.
Who uses it: Developers, product teams, analysts, AI applications.
Core workflows:
- Search and filter 14,000+ analytics assets
- Preview output before purchasing
- Buy credits ($0.50 each)
- Execute assets via API and receive results
- Manage subscriptions and usage
How the Data Flow Works
The zero-data-movement model is what makes Spartera fundamentally different from traditional data marketplaces:
┌─────────────────────────────────────────────────────────────┐
│ SELLER'S INFRASTRUCTURE │
│ │
│ ┌──────────────┐ ┌──────────────────────────────────┐ │
│ │ Your │ │ Spartera Connection │ │
│ │ Database │◄───│ (read-only, encrypted) │ │
│ │ (BigQuery, │ └──────────────────────────────────┘ │
│ │ Snowflake, │ │ │
│ │ Redshift..) │ SQL executes HERE │
│ └──────────────┘ │ │
└───────────────────────────────────────────────────────────┘
│
Only results travel out
│
▼
┌─────────────────────────────────────────────────────────────┐
│ SPARTERA API LAYER │
│ │
│ Authentication → Billing → Result Delivery │
│ │
└─────────────────────────────────────────────────────────────┘
│
▼
Buyers / Dashboards / AI Agents
Key principle: Your raw data never leaves your infrastructure. Spartera's processing engine connects to your database, executes the asset's SQL logic, and returns only the computed result.
The Credit Economy
Spartera uses a credit-based pricing model that keeps billing transparent and predictable:
| Role | Economics |
|---|---|
| Buyers | Purchase credits at $0.50 each; pay per execution |
| Sellers | Receive 80% of each transaction in monthly payouts |
| Spartera | Retains 20% as platform fee |
Sellers set their own price per execution. A $5.00 asset earns the seller $4.00 per call.
Product Suite
Beyond the core marketplace, Spartera includes several integrated products:
AutoInsights
AI-powered asset generation. Connect a database, and AutoInsights analyzes your schema using Gemini/Vertex AI to automatically create and document sellable analytics assets — no SQL writing required.
SparteraConnect
Managed MCP (Model Context Protocol) servers as a service at $100/month. Enables AI agents like Claude, ChatGPT, and custom LLMs to query your Spartera analytics assets directly using natural language.
Trends
Platform-wide intelligence showing which analytics categories and asset types are in highest demand — like Google Trends for the analytics marketplace.
PostGen
AI-powered article and documentation generation for sellers who want to create content marketing around their analytics assets.
Security Model
| Layer | How Spartera Handles It |
|---|---|
| Data Access | Read-only connections; you control exactly what data is exposed |
| Authentication | API key-based with scoped permissions |
| Transmission | TLS 1.2+ encryption on all API traffic |
| Credentials | Encrypted at rest; never logged or exposed |
| Compliance | GDPR-ready; SOC 2 Type II certified |
Supported Integrations
Spartera assets can be consumed anywhere you can make an HTTP request:
- BI Tools: Power BI, Tableau, Looker, Metabase
- Applications: Any language with HTTP support
- AI Agents: Claude (via SparteraConnect MCP), ChatGPT, custom LLMs
- Data Pipelines: Airflow, Prefect, dbt, Fivetran
- Notebooks: Jupyter, Colab, Databricks
Next Steps
- Quickstart Guide — Create and publish your first asset
- Data Sources — Full list of supported databases
- AutoInsights — Skip the SQL, let AI build your assets
- SparteraConnect — Enable AI agent access to your analytics
