Selling Insights

Selling Insights

Spartera lets you turn your database into a revenue stream. If you have data and analytical expertise, you can package it as an asset, publish it to the marketplace, and earn 80% of every execution — without moving your raw data anywhere.


The Seller Proposition

  • 80% revenue share — you keep $0.80 of every $1.00 executed
  • Your data never moves — SQL runs inside your database; only results are shared
  • One toggle to publish — no marketplace approval process, no waiting
  • Monthly automated payouts — earnings deposited directly to your bank account

Getting Started

1. Connect Your Database

Set up a read-only Spartera connection to your data source.
Creating Data Connections

2. Create an Asset

Write the SQL logic that powers your insight. Choose Calculation (returns values) or Visualization (returns chart-ready data).
Creating Assets

3. Test It

Run a preview execution to validate your SQL and output format before anyone sees it.
Testing and Validation

4. Set Your Price

pricing_api.companies_company_id_assets_asset_id_prices_post(
    company_id, asset_id, {"price_usd": 5.00}
)
# You earn $4.00 per execution (80%)

5. Publish

# One toggle
{"sell_in_marketplace": True, "visibility": "PUBLIC"}

Your asset is live immediately.


Building Assets That Sell

Pricing by Asset Type

Asset TypeSuggested PriceYour Earnings (80%)
Simple aggregate$0.50 – $2.00$0.40 – $1.60
Multi-row calculation$1.00 – $5.00$0.80 – $4.00
Visualization / chart$2.00 – $8.00$1.60 – $6.40
ML model output$5.00 – $25.00$4.00 – $20.00
Regulated/proprietary data$10.00 – $50.00+$8.00 – $40.00+

Use the Trends product to see what similar assets are priced at and which categories have highest demand.

Listing Optimization

The highest-performing marketplace assets share these traits:

Specific names — "30-Day Customer Churn Rate" converts 3x better than "Churn Metric"

Detailed descriptions — explain what it returns, what data it uses, how fresh the data is, and what business decision it enables

Accurate tags — buyers discover assets through search; use vertical tags (fintech, retail, healthcare), function tags (churn, forecasting, risk), and frequency tags (daily, real-time)

Sub-500ms execution — slow assets get poor ratings; optimize your SQL

What Sells Well

Based on marketplace demand signals:

  • Metrics with clear business decision value (churn risk, revenue forecast, lead score)
  • Assets with fresh, proprietary data not available elsewhere
  • Industry-specific calculations that require domain expertise to build
  • Assets that return a single, actionable number (easiest for buyers to consume)

Growing Your Revenue

Monitor Performance

Dashboard → Assets → Analytics

Key metrics: views, executions, conversion rate (target >5%), repeat buyers.

Low views → improve name, tags, and category placement
Low conversion → improve description or reduce price
Low repeat buyers → improve data freshness or add output fields

Build a Portfolio

Top sellers offer multiple complementary assets — a buyer who purchases your churn rate asset may also want your revenue forecast and customer segmentation assets.

Use AutoInsights

Let AI analyze your schema and generate additional assets automatically.
→ AutoInsights


Seller Policies

  • You are responsible for the accuracy of your asset's output
  • Breaking changes to output schema require a major version bump with advance notice to buyers
  • Assets that consistently error or underperform may be removed from the marketplace
  • Spartera retains 20% of each transaction as the platform fee

Revenue Sharing — Full payout details
Quality Guidelines — Marketplace standards