Pricing Models

Spartera's marketplace offers flexible, transparent pricing models designed
to meet diverse needs of both buyers and sellers. This guide explains our
credit-based system and various pricing options available to marketplace
participants.

Overview of Pricing Philosophy

Credit-Based System

Spartera operates on a credit-based economy that provides:

Flexibility: Use credits across different analytics and providers
Transparency: Clear understanding of costs before consumption
Control: Precise management of analytical spending
Simplicity: One currency for all marketplace transactions

Fair Value Exchange

Pay for Value: Costs align with business value received
Usage-Based: Pay only for what you actually consume
Transparent: No hidden fees or surprise charges
Scalable: Costs scale appropriately with usage levels

For Buyers: Credit-Based Purchasing

How Credits Work

Credit Consumption

Per-API Call: Each analytical request consumes credits
Variable Pricing: Different analytics have different credit costs
Real-Time Deduction: Credits deducted immediately upon usage
Balance Tracking: Real-time visibility into remaining credit balance

Credit Calculation

Credits are consumed based on:

Analytical Complexity: More sophisticated analytics cost more credits
Data Volume: Larger datasets may require additional credits
Processing Time: Compute-intensive analytics consume more credits
Provider Pricing: Each provider sets their own credit rates

Credit Purchase Options

On-Demand Credits

Flexible Pay-As-You-Go

Purpose: Immediate access for specific analytical needs
Best For: Occasional users, testing new analytics, variable workloads
Minimum Purchase: Small minimum amounts for easy entry
Expiration: Credits typically don't expire for reasonable periods
Pricing: Standard rate with no volume discounts

Benefits

No commitment required
Perfect for experimentation
Immediate availability
Simple procurement process

Startup Bundle

Small Business Focused

Target: Startups, small businesses, individual developers
Credit Amount: Moderate credit packages
Pricing: Discounted rate compared to on-demand
Support: Basic support and documentation access
Features: Access to most marketplace analytics

Typical Startup Package

10,000 credits per month
15% discount from on-demand pricing
Email support included
Basic usage analytics
Cancel anytime

Professional Bundle

Growing Business Solution

Target: Mid-size businesses, established teams, regular users
Credit Amount: Substantial credit allocations
Pricing: Significant discounts from on-demand rates
Support: Priority support with faster response times
Features: Advanced usage analytics and reporting

Typical Professional Package

100,000 credits per month
25% discount from on-demand pricing
Priority support included
Advanced usage analytics
Custom integration assistance

Enterprise Bundle

Large Organization Pricing

Target: Large enterprises, high-volume users, mission-critical
applications
Credit Amount: Large credit allocations or unlimited usage
Pricing: Maximum discounts and custom pricing available
Support: Dedicated account management and premium support
Features: White-label options, custom SLAs, priority access

Typical Enterprise Package

1,000,000+ credits per month or unlimited
35%+ discount from on-demand pricing
Dedicated account manager
Custom SLA agreements
Priority feature development

Additional Buyer Options

Free Tier

Risk-Free Evaluation

Sample Access: Limited free credits for testing analytics
Preview Mode: Access to sample data and results
Documentation: Full access to technical documentation
Community Support: Access to community forums and resources

Custom Agreements

Tailored Solutions

Volume Commitments: Significant discounts for large volume commitments
Annual Contracts: Reduced rates for annual payment terms
Strategic Partnerships: Custom pricing for strategic relationships
Integration Services: Bundled professional services

For Sellers: API Orchestration Pricing

Seller Pricing Control

Price Setting Authority

Complete Control: Sellers set their own prices for analytics
Market-Based: Pricing based on market value and competition
Flexible Adjustment: Ability to adjust prices based on market response
Differentiated Pricing: Different prices for different customer segments

Pricing Strategy Support

Market Analytics: Data on competitive pricing and market trends
Performance Metrics: Usage data to inform pricing decisions
Customer Feedback: Insights into price sensitivity and value perception
Optimization Tools: A/B testing capabilities for price optimization

Revenue Model

Revenue Sharing Structure

100% Base Revenue: Sellers receive 100% of their set prices
Platform Margin: Spartera adds margin on top of seller prices
Credit Conversion: Total cost converted to Spartera credits
Transparent Structure: Clear understanding of total customer cost
No Hidden Deductions: Sellers receive exactly what they price

Example Revenue Flow

Seller Sets Price: $1.00 per API call
Spartera Adds Margin: Platform margin added as percentage
Conversion to Credits: Total cost converted to Spartera credits
Buyers Purchase Credits: Customers buy credit packages on the
platform
Buyers Spend Credits: Credits used to access analytics APIs
Seller Receives Payment: Sellers receive their full asking price
based on usage

Payment Terms

Regular Payments: Monthly revenue distributions to sellers
Automated Processing: Automatic calculation and payment
distribution
Detailed Reporting: Comprehensive revenue and usage reporting

Pricing Best Practices

For Buyers

Cost Management

Budget Planning: Set monthly or project-based budgets for analytics
Usage Monitoring: Track credit consumption and spending patterns
ROI Measurement: Calculate return on investment for analytical spending
Optimization: Identify most valuable analytics and optimize usage

Strategic Purchasing

Bundle Selection: Choose appropriate bundle based on usage patterns
Volume Planning: Consider volume discounts for predictable usage
Trial Strategy: Use free tier and previews to evaluate before purchasing
Portfolio Management: Diversify analytical capabilities cost-effectively

For Sellers

Competitive Pricing

Market Research: Regular analysis of competitive pricing
Value Communication: Clearly articulate value proposition
Price Testing: A/B testing different price points
Customer Segmentation: Different pricing for different customer types

Revenue Optimization

Demand Analysis: Monitor usage patterns and customer behavior
Price Elasticity: Understand how price changes affect demand
Customer Lifetime Value: Optimize for long-term customer relationships
Market Positioning: Balance market share and profitability goals

Pricing Transparency

Cost Prediction

Usage Calculators: Tools to estimate costs before purchasing
Historical Analysis: Track past usage to predict future costs
Budget Alerts: Notifications when approaching spending limits
Cost Breakdown: Detailed breakdown of where credits are consumed

Billing Transparency

Real-Time Tracking: Live updates on credit consumption
Detailed Invoicing: Line-item billing for all analytics usage
Usage Reports: Comprehensive reports on analytical consumption
Cost Analytics: Analysis of spending patterns and optimization opportunities

Support and Optimization

Buyer Support

Pricing Guidance: Help selecting appropriate pricing plans
Usage Optimization: Advice on maximizing value from credits
Budget Management: Tools and guidance for cost control
Migration Assistance: Help transitioning between pricing tiers

Seller Support

Pricing Strategy: Consultation on optimal pricing approaches
Market Intelligence: Data and insights on pricing trends
Revenue Optimization: Guidance on maximizing revenue potential
Customer Acquisition: Pricing strategies for customer growth

The pricing model is designed to be fair, transparent, and value-driven,
ensuring both buyers and sellers can achieve their business objectives
while participating in a thriving analytical marketplace.