From Zero to Working AI Assistant in 4 Steps

Seriously—it's this simple

📊

Choose Your Data Source

2 minutes

Connect to databases, data warehouses, or ML model endpoints. We focus on structured data and analytics—not document repositories.

✓ Works with any SQL database (PostgreSQL, MySQL, SQL Server, etc.)
✓ Data warehouses (BigQuery, Snowflake, Redshift, Databricks)
✓ ML model endpoints and analytics APIs
✓ Note: Not for unstructured documents or PDFs—structured data only

🎯

Define What AI Can See & How to Format

5 minutes

Pick exactly what data your AI can access and how responses should be formatted. Full control over permissions and output.

✓ Create the insights you wish to distribute (statistics & predicitons)
✓ Set rate limiting and security model
✓ We handle standardization and formatting to share with Chatbots & Agents

🚀

Click Deploy

60 seconds

One button. That's it. We handle all the security, scaling, monitoring, and maintenance automatically.

✓ Automatic security setup (encryption, access control)
✓ Enterprise-grade infrastructure
✓ Auto-scaling to handle any amount of requests
✓ (Optionally) Click to include your MCP server in our Directory

✨

Start Using Your AI

Immediate

Your AI assistant can now answer real questions with live data. Works in Claude Desktop or any MCP-compatible AI platform.

✓ AI gives real answers with current data
✓ Works 24/7 with no downtime
✓ Zero data movement - only analytics
✓ Updates automatically as your data changes

See It In Action

Executive Analytics AI Querying Snowflake Data Warehouse

Before SparteraConnect

Customer:

What's driving our revenue growth this quarter?

AI:

I don't have access to your revenue data. Please check your BI dashboard or contact your analytics team.

❌ Executive frustrated, waits 3 days for analyst report

After SparteraConnect

Customer:

What's driving our revenue growth this quarter?

AI:

Your Q4 revenue is up 23% YoY, driven primarily by the Enterprise segment (+45%) and West region (+31%). SaaS subscriptions grew 18% while professional services increased 12%. The growth accelerated in November with the product launch, contributing an additional $2.1M. Would you like me to break down by customer cohort or compare to industry benchmarks?

✅ Executive gets insights in 3 seconds, makes informed decisions

How Is This Different From RAG?

They're complementary—RAG for documents, SparteraConnect for analytics

You've probably heard of RAG (Retrieval Augmented Generation)—it's great for searching through documents, PDFs, and knowledge bases. SparteraConnect does something completely different: it pulls analytics and insights from structured databases. Think of them as partners, not competitors.

RAG

Document Search

SparteraConnect

Database Analytics

Best For

Unstructured documents & text

"What's our return policy?" (from PDF)

Structured data & analytics

"What's our return rate this quarter?" (from database)

Data Source

PDFs, docs, articles, knowledge bases

Company wiki, product manuals

SQL databases, data warehouses, ML models

PostgreSQL, Snowflake, BigQuery

Query Type

Semantic search & retrieval

Find relevant paragraphs

SQL queries & calculations

Calculate metrics, aggregate data

Output

Text passages from documents

"According to the handbook..."

Analytics, metrics, insights

"Revenue grew 23% vs last quarter"

Use Them Together for Complete AI

The best AI assistants use both. RAG answers questions from your documentation. SparteraConnect answers questions from your data. Together, your AI can handle policies AND metrics, documentation AND analytics.

Example Scenario

E-commerce business intelligence AI

📚

RAG Handles:

• "What's your shipping policy?" → Searches company docs
• "How do I return an item?" → Retrieves return process from PDF
• "What payment methods do you accept?" → Finds info in knowledge base

📊

SparteraConnect Handles:

• "What's our customer churn rate by cohort?" → Analyzes data warehouse
• "Which products are trending up this quarter?" → Computes sales trends from database
• "What customer segments have highest LTV?" → Runs ML model predictions

✅

Result:

One AI that answers both documentation questions AND analytics questions

AI Assistants Without Data Are Just Fancy Chatbots

They can't answer real questions or help make decisions without live information

🤖

Generic Responses

AI gives vague answers because it can't query your databases for real analytics like revenue trends, customer cohorts, or inventory forecasts

⏰

Months to Connect Data

Engineering teams spend 3-6 months building custom integrations every time you want AI to access a new data source

💸

Expensive Infrastructure

Building and maintaining data connections costs $100K+ in engineering time, cloud bills, and ongoing maintenance

🔒

Security Nightmares

Moving data between systems creates compliance headaches, security risks, and potential breaches

Why Companies Choose SparteraConnect

It's not about the technology. It's about what you can finally do.

⚡

Speed

Ship AI features this week, not next quarter

60-second setup vs 3-6 months building custom integrations

🔒

Security

Finally use AI without risking your data

Data never moves—AI queries, you stay secure

🎯

Flexibility

Works with Claude or any custom AI agent

One connection, unlimited AI platforms

💰

Cost

No engineering teams, no cloud bills, no maintenance

$100/mo + usage vs $100K+ DIY

💬 Ready to Monetize Your Analytics?

Talk to our team about deploying your MCP server

Real Use Cases: Internal + External Intelligence

Deploy your analytics for others. Subscribe to analytics you need. Or both.

📤 Monetize Your Internal Analytics

AI agents from other companies discover and purchase your insights autonomously

🎯

Customer Intelligence Analytics

🤖 Agent searches: "customer churn prediction B2B SaaS"

→ Finds your MCP server → Queries with params → Receives results

💰 $0.005 per customer analyzed = $0.24

💡 You're a SaaS company with 10 years of churn data. You've built ML models to predict which customers will churn. Instead of keeping this internal, you deploy it via SparteraConnect. Now, 43 other B2B companies' AI agents discover it, query it with their customer segments, and pay $0.005 per analysis. You earn $1,847/month from analytics you already built.

Monthly Revenue

$1,847/month passive

📦

Supply Chain Analytics

🤖 Agent searches: "optimal reorder point calculator"

→ Finds your MCP server → Queries with params → Receives results

💰 $0.01 per SKU calculation

💡 You're a 3PL with proprietary demand forecasting algorithms. You deploy them via MCP. 67 retailers' and distributors' AI agents query your analytics 234,000 times/month at $0.01/query = $2,340/month passive income. Your algorithms run on your infrastructure, your data stays private.

Monthly Revenue

$2,340/month recurring

💼

Sales Intelligence Analytics

🤖 Agent searches: "deal propensity scoring B2B"

→ Finds your MCP server → Queries with params → Receives results

💰 $0.02 per deal scored

💡 You've analyzed 10,000+ B2B deals to build predictive models. You deploy them via MCP. 89 sales teams' AI agents query your models 45,000 times/month at $0.02/query = $900/month. You monetize sales intelligence you were already using internally.

Monthly Revenue

$900/month

💳

Financial Risk Analytics

🤖 Agent searches: "credit risk scoring small business"

→ Finds your MCP server → Queries with params → Receives results

💰 $0.05 per credit assessment

💡 Your fintech has ML models trained on millions of credit decisions. You deploy them via MCP. 23 lenders' AI agents query your risk models 67,000 times/month at $0.05/query = $3,350/month. You turn proprietary models into recurring revenue.

Monthly Revenue

$3,350/month

Real Example: Multi-Analytics Provider

Enterprise SaaS Company

4 analytics

Deployed via MCP

127 companies

AI agents subscribed

892K queries

Per month

$8,920/mo

Recurring revenue

"We built these analytics for our own customer success team. Deploying them via SparteraConnect took 8 minutes. Now we earn almost $9K/month from other companies' AI agents querying insights we already had."

— VP of Data, Enterprise SaaS Company

📥 Subscribe to Intelligence You Don't Have

Your AI agent autonomously discovers and purchases insights from other companies

🌨️

Weather-Dependent Intelligence

You ask: "What is the probability of the Bills-Raiders game getting canceled if the snowfall exceeds 2 feet tomorrow?"

🤖 Your agent:

1. Searches MCP Directory → Finds WeatherIQ Sports Analytics MCP server

2. Queries external data

3. Receives insight → Answers your question

💰 $0.10 (automatic)

💡 Your sports betting AI doesn't have weather prediction models. It doesn't need to. It discovers WeatherIQ's server, queries game-specific forecasts, and delivers insights. You pay $0.10 per query instead of building a meteorology team.

Monthly Cost

$47 (470 queries/month)

💰

Competitive Pricing Intelligence

You ask: "How does our enterprise pricing compare to competitors for a 500-seat deal?"

🤖 Your agent:

1. Searches MCP Directory → Finds MarketPulse Competitive Analytics MCP server

2. Queries external data

3. Receives insight → Answers your question

💰 $0.25 (automatic)

💡 Your sales AI agent gets real-time competitive intelligence without you maintaining a market research subscription. It queries only when needed, pays per insight, and your reps get data-driven pricing guidance.

Monthly Cost

$89 (356 queries/month)

🌍

International Market Intelligence

You ask: "Which of our customers in Italy are most likely to churn based on regional sales trends?"

🤖 Your agent:

1. Searches MCP Directory → Finds EuroMarket Analytics MCP server

2. Queries external data

3. Combines with your internal data

4. Delivers strategic answer

💰 $0.50 (automatic)

💡 Your AI agent combines EXTERNAL market intelligence (from EuroMarket) with INTERNAL customer data (your churn model) to deliver strategic insights. You pay $0.50 for market data instead of a $25K annual subscription.

Monthly Cost

$24 (48 queries/month)

📊

Consumer Behavior Analytics

You ask: "What features are Gen Z users most likely to adopt in our category?"

🤖 Your agent:

1. Searches MCP Directory → Finds ConsumerIQ Behavior Analytics MCP server

2. Queries external data

3. Receives insight → Answers your question

💰 $1.00 (automatic)

💡 Your product AI agent discovers consumer behavior analytics you don't have in-house. It queries trend data, cross-references with your user base, and informs roadmap decisions. You pay $1 per query instead of hiring a market research firm.

Monthly Cost

$156 (156 queries/month)

Real Example: Multi-Intelligence Subscriber

Growing SaaS Company

7 providers

MCP servers subscribed

1,247 queries

Per month (agent-driven)

$316/mo

Total intelligence cost

$0 to deploy

No integration engineering

"Our AI agents autonomously discover and purchase intelligence we need but don't have. Competitive pricing data, market trends, consumer behavior—agents find it, validate it fits our needs, and query it. We pay $316/month for insights that would cost $100K+ to build in-house."

— CTO, Growing SaaS Company

Turn Your Analytics Into Revenue

List your SparteraConnect server in our MCP Directory and let other companies securely access your analytics

Analytics as a Service—without moving data

The Problem

Traditionally, if Company A wants to sell analytics to Company B, they have two bad options: (1) Send massive datasets that Company B has to analyze themselves, or (2) Build custom APIs that are expensive to maintain and hard to monetize.

The Solution

With the MCP Directory, Company A deploys their analytics through SparteraConnect, lists it in the directory, and Company B's AI agents can directly query those analytics—securely, without any data movement, paying per query.

The Value

You've already built the analytics. Now monetize them. Other companies pay to access your insights, not your raw data.

How The MCP Directory Works

🏗️

You Build Analytics

Create analytics queries, ML models, or business intelligence on your data warehouse using SparteraConnect

📋

List in Directory

Publish your analytics server to the MCP Directory with pricing, use cases, and access controls

🔌

Companies Connect

Other companies discover your analytics, connect their AI agents, and start querying your insights

💰

You Get Paid

Automatic revenue sharing—they pay per query, you get paid automatically. Your data never moves.

The New Business Model

❌ Old Way: Sell Datasets

• Send entire datasets to customers
• Customer has to analyze it themselves
• Data security & compliance nightmares
• One-time sale, hard to charge recurring
• Expensive custom integrations for each customer

✅ New Way: Analytics as a Service

• Customers connect to your analytics server
• They query insights, not raw data
• Your data never leaves your infrastructure
• Recurring revenue per query
• One integration, unlimited customers

Who's Monetizing Analytics?

🏈

Sports Data Providers

Sells: Real-time sports analytics, player performance trends, betting insights

To: Sports betting apps, fantasy platforms, media companies

"Which players are trending up this season?" — AI queries the analytics server directly

📊

Market Research Firms

Sells: Consumer behavior analytics, market trends, competitive intelligence

To: Retailers, CPG brands, investment firms

"What categories are growing in Gen Z spend?" — Real-time analytics, no dataset downloads

🏭

Supply Chain Analytics

Sells: Logistics optimization, demand forecasting, route efficiency analytics

To: Manufacturers, distributors, 3PLs

"What's optimal inventory for Q1?" — Customers get predictions, not your proprietary models

💳

Financial Data Providers

Sells: Credit risk analytics, fraud detection insights, market sentiment

To: Lenders, fintech apps, investment platforms

"What's the fraud risk for this transaction?" — ML model inference via MCP, data stays secure

Real Revenue Example

Case Study

Sports Analytics Provider

Provides NFL player performance analytics to fantasy sports platforms

15 servers

Listed Analytics

Player trends, injury predictions, matchup analysis, etc.

47 companies

Connected Customers

Fantasy platforms, betting apps, media companies

2.3M

Monthly Queries

Average across all customers and analytics

$67K

Monthly Revenue

Recurring analytics-as-a-service revenue

" We went from selling static CSV files once a season to earning $67K/month in recurring revenue. Customers love it because they get real-time analytics instead of stale datasets."

— Head of Data Products

Ready to Monetize Your Analytics?

List your SparteraConnect server in the MCP Directory and start earning revenue from your analytics

List My Analytics Browse the Directory

Revenue sharing: You set pricing, we handle billing and distribution. You get paid automatically.

Simple, Transparent Pricing

Managed MCP server infrastructure plus pay-per-use API calls

We handle all the infrastructure. You pay for the managed service and API usage.

BASE FEE

SparteraConnect Managed Service

$100 /month

Complete managed MCP server infrastructure

✓ Production-grade MCP server hosting
✓ Automatic scaling and monitoring
✓ Enterprise security & encryption
✓ 99.9% uptime SLA
✓ 24/7 technical support
✓ All security compliance certifications

Get Started

Pay As You Go

Plus API Calls

Use as much or as little as you need

Pay only for analytics requests your AI makes

📊 Most customers: $20-$200/month

⚡ Volume discounts available

🎯 No minimums or commitments

💡 Scales with your usage automatically

See detailed API pricing →

vs Building It Yourself

❌ Build it yourself:

• 3-6 months engineering time
• $50K-$200K upfront cost
• $2K-$5K/month ongoing infrastructure
• 20-40 hours/month maintenance

✓ SparteraConnect:

• 60 seconds setup time
• $100/month + API usage
• All infrastructure included
• Zero maintenance hours

Frequently Asked Questions

What's included in the $100/month?

Everything: MCP server hosting, security, monitoring, scaling, support. You just pay for API calls on top based on usage.

How are API calls priced?

See our API pricing at the link above. Most customers spend $20-$200/month on API calls depending on query volume.

Can I cancel anytime?

Yes! No contracts, no penalties. Cancel your managed service subscription whenever you want.

Turn Your Database Into an AI Analytics Engine

From Zero to Working AI Assistant in 4 Steps

Choose Your Data Source

Define What AI Can See & How to Format

Click Deploy

Start Using Your AI

See It In Action

Before SparteraConnect

After SparteraConnect

How Is This Different From RAG?

Use Them Together for Complete AI

E-commerce business intelligence AI

AI Assistants Without Data Are Just Fancy Chatbots

Generic Responses

Months to Connect Data

Expensive Infrastructure

Security Nightmares

Why Companies Choose SparteraConnect

Speed

Security

Flexibility

Cost

Stay Ahead of the Analytics Revolution

Real Use Cases: Internal + External Intelligence

📤 Monetize Your Internal Analytics

Customer Intelligence Analytics

Supply Chain Analytics

Sales Intelligence Analytics

Financial Risk Analytics

Real Example: Multi-Analytics Provider

📥 Subscribe to Intelligence You Don't Have

Weather-Dependent Intelligence

Competitive Pricing Intelligence

International Market Intelligence

Consumer Behavior Analytics

Real Example: Multi-Intelligence Subscriber

Turn Your Analytics Into Revenue

The Problem

The Solution

The Value

How The MCP Directory Works

You Build Analytics

List in Directory

Companies Connect

You Get Paid

The New Business Model

❌ Old Way: Sell Datasets

✅ New Way: Analytics as a Service

Who's Monetizing Analytics?

Sports Data Providers

Market Research Firms

Supply Chain Analytics

Financial Data Providers

Real Revenue Example

Sports Analytics Provider

Ready to Monetize Your Analytics?

What Companies Are Saying

Simple, Transparent Pricing

SparteraConnect Managed Service

Plus API Calls

vs Building It Yourself

❌ Build it yourself:

✓ SparteraConnect:

Frequently Asked Questions

What's included in the $100/month?

How are API calls priced?

Can I cancel anytime?

Give AI Access to Your Data

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