🀝 New Partnership: Weather Trends International joins Spartera to deliver predictive weather analytics Read the Announcement β†’
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Turn Your Database Into an AI Analytics Engine

Descriptive, historical, and predictive analyticsβ€”not simple lookups.

Connect AI to your data warehouses and ML models for real analytics. Ask about trends, patterns, forecasts, and insights. Get business intelligence on demandβ€”powered by your structured data, formatted for any use case.

60 sec
Time to Connect
Analytics
Not Lookups
Any AI
Works With

Why Spartera Connect

Three ways AI talks to data. Only one gets it right.

Most AI-data integrations either dump raw data on agents or let AI guess your queries. Spartera delivers verified analytics β€” no hallucinations, no data exposure.

01 β€” Traditional REST API

Raw Data Dump

API returns raw JSON. AI must figure out the rest.

πŸ€–

Agent calls GET /api/sales

Requests raw data from endpoint

πŸ“¦

Gets 10,000 JSON rows back

Full dataset transferred to consumer

🎲

AI tries to compute trends itself

LLMs are notoriously bad at math on raw data

❌

Returns wrong insight confidently

Hallucinated aggregation, no verification

response // 10,000 rows of raw data
[{"id":1,"amt":847.20},
 {"id":2,"amt":1203.50},
 // ...9,998 more rows
]
// AI guesses: "Revenue up 15%"
// Actual: Revenue DOWN 3%
Accuracy Low β€” AI guesses
⚠️
Your data moves. Your insights are wrong. AI computes analytics from raw rows and gets them wrong with full confidence. Data physically leaves your infrastructure.

02 β€” NL2SQL MCP Server

AI-Generated Queries

AI writes SQL on the fly. No one verifies it.

πŸ€–

Agent receives question in English

"What's driving revenue growth?"

⚑

LLM generates SQL on the fly

Wrong joins, bad filters, missed tables

πŸ—„οΈ

Runs unverified query on production

Your schema is exposed, no sandbox

❓

Returns result β€” maybe correct

No way to know without manually checking

AI-generated // AI writes this SQL:
SELECT region, SUM(revenue)
FROM sales
WHERE quarter = 'Q4'
// ⚠ Missed the refunds table
// ⚠ Wrong fiscal year mapping
// β†’ Numbers look right, but aren't
Accuracy Unreliable β€” 60-80% on clean schemas
⚠️
Confident but wrong. Who's accountable? NL2SQL accuracy tops out at 60–80% on clean schemas. In production with messy real-world databases? Much worse. Wrong numbers, no audit trail.
✦ Recommended

03 β€” Spartera Connect

Verified Analytics

Data owner builds & verifies. AI picks from a curated menu.

βœ…

Data owner pre-builds analytics

Stats, trends, predictions β€” tested & verified

πŸ€–

AI selects the right analytic

Chooses from curated, parameterized menu

πŸ”’

Executes inside seller's database

Zero data movement β€” only insights returned

πŸ“Š

Returns verified, auditable insight

Correct every time, production-grade

response // Verified analytic response:
{"insight": "Revenue up 23% YoY",
 "drivers": ["Enterprise +45%",
             "West region +31%"],
 "verified": true,
 "confidence": 0.97}
Accuracy Verified by data owner
βœ…
Right answers. Every time. Auditable. Analytics built by domain experts, tested before deployment, and executed inside your infrastructure. Data never moves.
REST API NL2SQL Spartera
Data moves? πŸ”΄ Full dataset 🟑 Query results 🟒 Never
Results verified? πŸ”΄ No πŸ”΄ No 🟒 By data owner
Schema exposed? 🟑 Partially πŸ”΄ Fully 🟒 Never
Accountability? πŸ”΄ None πŸ”΄ None 🟒 Full audit trail
Works at scale? 🟑 Data transfer bottleneck 🟑 Query complexity limit 🟒 Pre-optimized analytics
βœ… Deploy Verified Analytics

60-second setup Β· Zero data movement Β· Works with any AI

Live Demo

See It In Action

Ask a question. Watch your AI agent classify the intent, route to the right source, and return a verified answer β€” all in real time.

Spartera

Spartera IntelliChat

Intelligence & Analytics Assistant

Online

Try an example:

Analytics β†’ MCP Server Knowledge β†’ RAG Research β†’ LLM

This demo uses scripted responses from real Spartera analytics. Deploy your own β†’

From Zero to Working AI Assistant in 4 Steps

Seriouslyβ€”it's this simple

1
πŸ“Š

Choose Your Data Source

Connect to databases, data warehouses, or ML model endpoints. We focus on structured data and analyticsβ€”not document repositories.

2 minutes
  • βœ“ Works with any SQL database (PostgreSQL, MySQL, SQL Server, etc.)
  • βœ“ Data warehouses (BigQuery, Snowflake, Redshift, Databricks)
  • βœ“ ML model endpoints and analytics APIs
  • βœ“ Note: Not for unstructured documents or PDFsβ€”structured data only
2
🎯

Define What AI Can See & How to Format

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

5 minutes
  • βœ“ Create the insights you wish to distribute (statistics & predicitons)
  • βœ“ Set rate limiting and security model
  • βœ“ We handle standardization and formatting to share with Chatbots & Agents
3
πŸš€

Click Deploy

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

60 seconds
  • βœ“ Automatic security setup (encryption, access control)
  • βœ“ Enterprise-grade infrastructure
  • βœ“ Auto-scaling to handle any amount of requests
4
✨

Start Using Your AI

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

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

See It In Action

❌

Without 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
βœ…

With 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?
βœ… Executive gets insights in 3 seconds, makes informed decisions
πŸš€ Start Your Deployment in 60 Seconds

Get set up faster than reading this page

How Is This Different From RAG?

They're complementaryβ€”RAG for documents, SparteraConnect for analytics

You've probably heard of RAG (Retrieval Augmented Generation)β€”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

πŸ“š
RAG Handles:
  • β€’ "What's your shipping policy?" β†’ Searches company docs
  • β€’ "How do I return an item?" β†’ Retrieves return process from PDF
  • β€’ "What payment methods do you accept?" β†’ Finds info in knowledge base
πŸ“Š
SparteraConnect Handles:
  • β€’ "What's our customer churn rate by cohort?" β†’ Analyzes data warehouse
  • β€’ "Which products are trending up this quarter?" β†’ Computes sales trends from database
  • β€’ "What customer segments have highest LTV?" β†’ Runs ML model predictions
βœ…
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

πŸ€–

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

πŸ’Έ

Expensive Infrastructure

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

πŸ”’

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
πŸ”’

Security

Finally use AI without risking your data

Data never movesβ€”AI queries, you stay secure
🎯

Flexibility

Works with Claude or any custom AI agent

One connection, unlimited AI platforms
πŸ’°

Cost

No engineering teams, no cloud bills, no maintenance

$100/mo + usage vs $100K+ DIY
πŸ’¬ Ready to Monetize Your Analytics?

Talk to our team about deploying your MCP server

Stay Ahead of the Analytics Revolution

Get insights on Analytics as a Service trends, platform updates, and success stories

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Real Use Cases: Internal + External Intelligence

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

πŸ“€ Monetize Your Internal Analytics

AI agents from other companies discover and purchase your insights autonomously

🎯

Customer Intelligence Analytics

πŸ€– Agent searches: "customer churn prediction B2B SaaS"
β†’ Finds your MCP server β†’ Queries with params β†’ Receives results
πŸ’° $0.005 per customer analyzed = $0.24

πŸ’‘ 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
πŸ“¦

Supply Chain Analytics

πŸ€– Agent searches: "optimal reorder point calculator"
β†’ Finds your MCP server β†’ Queries with params β†’ Receives results
πŸ’° $0.01 per SKU calculation

πŸ’‘ 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
πŸ’Ό

Sales Intelligence Analytics

πŸ€– Agent searches: "deal propensity scoring B2B"
β†’ Finds your MCP server β†’ Queries with params β†’ Receives results
πŸ’° $0.02 per deal scored

πŸ’‘ 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
πŸ’³

Financial Risk Analytics

πŸ€– Agent searches: "credit risk scoring small business"
β†’ Finds your MCP server β†’ Queries with params β†’ Receives results
πŸ’° $0.05 per credit assessment

πŸ’‘ 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."

β€” VP of Data, Enterprise SaaS Company

2,500+
Companies Using SparteraConnect
5,000+
AI-Data Connections Live
10M+
Questions Answered Monthly

What Companies Are Saying

Real results from real businesses using SparteraConnect

⭐ ⭐ ⭐ ⭐ ⭐

We went from 6 months to 60 seconds. SparteraConnect let us ship AI features this quarter instead of next year.

Sarah Chen
Head of Engineering, TechFlow
⭐ ⭐ ⭐ ⭐ ⭐

Our customer support AI can now answer real questions about orders and inventory. 85% of tickets resolved instantly.

Michael Rodriguez
VP Customer Success, RetailCorp
⭐ ⭐ ⭐ ⭐ ⭐

I'm not technical and I deployed this in 10 minutes. Now my team asks AI for sales data instead of waiting for reports.

Jennifer Park
Sales Director, GrowthMetrics
πŸ”’ SOC2 Certified
πŸ₯ HIPAA Compliant
🌍 GDPR Ready
⚑ 99.9% Uptime SLA

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

  • βœ“ Production-grade MCP server hosting
  • βœ“ Automatic scaling and monitoring
  • βœ“ Enterprise security & encryption
  • βœ“ 99.9% uptime SLA
  • βœ“ 24/7 technical support
  • βœ“ 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

πŸ“Š Most customers: $20-$200/month
⚑ Volume discounts available
🎯 No minimums or commitments

πŸ’‘ Scales with your usage automatically

See detailed API pricing β†’

vs Building It Yourself

❌ Build it yourself:

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

βœ“ SparteraConnect:

  • β€’ 60 seconds setup time
  • β€’ $100/month + API usage
  • β€’ All infrastructure included
  • β€’ 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.

Give AI Access to Your Data

Takes 60 Seconds

No credit card required. No engineering team needed. Just you, 10 minutes, and AI that finally knows your business.

⚑
60-second setup
πŸ”’
Your data never moves
πŸ’°
Start free, scale when ready
πŸ€–
Works with any AI

Join 2,500+ companies already using SparteraConnect to power their AI

Free tier includes 1 database connection and 100 AI questions/month. No credit card required. Cancel anytime.