Connector Database / Stripe
Analyze your Stripe data with AI
Build interactive dashboards, generate automated reports, and unlock business intelligence insights from your Stripe data with AI-powered assistant.
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Start with a question
Generate automated reports and business intelligence insights from your Stripe data—as fast as you can ask them.
Build dashboards and data visualizations
Transform your conversation into dynamic data visualizations on an intuitive data canvas.
Integrate all your data
Unify your Stripe data with DuckDB-powered data warehouse including Google Analytics, MongoDB and Zendesk.
Available Stripe Data
Extracts Stripe payments, billing, and catalog data — including charges, payment intents, customers, subscriptions, invoices and line items, transfers, balance transactions, payouts, disputes, coupons, products, and related events. Enables revenue and payments reporting, subscription lifecycle and churn analysis, invoicing performance, refunds and disputes tracking, and payout reconciliation.
Customer
Represents Stripe customer profiles with contact and payment details; enables segmentation, LTV/ARPU, retention cohorts, and payment method coverage analysis.
Subscription
Recurring billing agreements and their items per customer; supports MRR/ARR tracking, churn and retention analysis, upgrades/downgrades, and renewal forecasting.
Invoice
Billing documents and their line items; enables collection rate and dunning performance analysis, invoice aging, and revenue recognition.
Payment
Payment attempts and resulting charges across the checkout lifecycle; supports conversion and authorization rates, decline reason analysis, and refund performance.
Dispute
Chargebacks and disputes raised on payments; enables dispute rate tracking, win/loss outcomes, reasons, and financial impact analysis.
Payout
Transfers of Stripe balance to external bank accounts or cards; used for cash flow monitoring, arrival timing, and reconciliation to underlying transactions.
Balance Transaction (Ledger)
Financial ledger of charges, refunds, fees, adjustments, transfers, and payouts; supports net vs. gross revenue, fee analysis, and full reconciliation.
Transfer (Connect)
Movements of funds between Stripe or connected accounts; enables marketplace settlement reporting, take-rate analysis, and funds flow auditing.
Product and Pricing
Catalog items and plan/price metadata; supports revenue by product, plan performance, packaging impact, and subscription pricing analytics.
Coupon
Discount instruments applicable to subscriptions or invoices; used to analyze promotion usage, conversion uplift, and revenue impact.
Event
Webhook event history capturing object changes; enables change-data capture, SLA monitoring, and troubleshooting data freshness and updates.
Authentication Required
Uses an API key from your Stripe dashboard to authenticate (Secret API Key) and targets a specific Stripe account via Account ID
Getting started with
Stripe Analytics & Business Intelligence
Connect your Stripe data
Connect to Stripe once and automatically sync data to your centralized data warehouse for real-time reporting and analytics.
Build business intelligence models
Create automated reports, dashboards, and data visualizations with customizable business logic and AI-powered insights for consistent analytics across your organization.
Generate reports and insights
Create interactive dashboards, automated reports, and data visualizations with AI-powered business intelligence. Share live analytics and scheduled reporting with your team.
Want to see how easy it is to get started?
Stripe usersDefinite
People love Definite because it lets you focus on what matters. Setting up your own data infrastructure doesn't make your beer taste better. Skip the tedium and start at analytics.
I was leading the efforts of setting up a business intelligence function. I was surprised how complex this all was to do even today. It's something that every tech company would need at some point but it hasn't been simplified. You need a whole team focused on building a data warehouse, setting up the right pipelines, and then integrating a BI tool on top.Definite wasn't only the answer to this problem, it tackled the next problem I knew I'd have as soon as the BI tool was ready — how do we get non-technical teams and people to learn and utilise such a tool.
Our analytics before Definite consisted of dozens of Excel sheets that took hours to update. Manual updates led to errors. Everyone questioned the accuracy of the numbers. Many people just stopped looking at the reports.After Definite, everything ran like clockwork.We immediately saved thousands of dollars per month in the time spent updating reports and have built strategies (e.g. improved ROI on ad spend, inventory management, etc.) on the data that will yield millions to our bottom line.
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