Automated Payment Data Pipeline

Stripe to Agent-Lake

Stop exporting CSVs. Connect your Stripe account once and automatically sync all transactions, customers, and subscriptions to Agent-Lake. Run AI-powered revenue analysis on always-current data.

Coming Soon
Sync hourly, daily, or real-time
Secure OAuth 2.0 connection

Overview

The Stripe connector automatically syncs your payment data to Agent-Lake, eliminating manual CSV exports and custom API integrations. Once connected, your Stripe data flows continuously to Agent-Lake where AI agents can analyze it immediately.

Workflow:

  1. Connect via OAuth (one-time setup)
  2. Configure which data to sync (transactions, customers, subscriptions)
  3. Set sync frequency (hourly, daily, or real-time)
  4. Data automatically appears in Agent-Lake
  5. Query with SQL or ask AI agents in plain English

No Manual Work: Never export CSVs or write API code again. The connector handles everything: authentication, data fetching, schema mapping, and loading into Agent-Lake.

Benefits

Automated Data Sync

No more manual CSV exports or API integrations. Connect once and data flows automatically.

Always Up-to-Date

Schedule syncs hourly, daily, or in real-time. Your data stays current without manual refreshes.

AI-Ready

Data lands directly in Agent-Lake in queryable format. Ask questions immediately without setup.

Historical Data

Import all historical Stripe data on first sync. Full transaction history available for analysis.

Secure Connection

OAuth 2.0 authentication with encrypted credentials. Revoke access anytime from Stripe dashboard.

Getting Started

1

Connect Stripe Account

Click "Connect Stripe" and authenticate via OAuth. No API keys or manual configuration required. Takes 30 seconds.

2

Configure Sync

Choose which data types to sync (transactions, customers, subscriptions, invoices) and how often (hourly, daily, real-time).

3

Initial Sync

Import historical data in one-time process. Depending on volume, typically completes in 5-30 minutes.

4

Query Data

Start analyzing immediately after sync completes. Use SQL or ask AI agents questions in plain English.

Use Cases

Revenue Analysis

Track revenue trends over time, identify growth patterns, and forecast future revenue using historical transaction data.

Customer Insights

Analyze customer behavior, calculate lifetime value, identify churn risk, and segment by purchase patterns.

Subscription Analytics

Monitor MRR (Monthly Recurring Revenue), track churn rate, analyze plan performance, and forecast subscription growth.

Payment Operations

Track failed payments, monitor refund rates, identify dispute patterns, and optimize payment success rates.

Financial Reporting

Generate automated financial reports with AI. Ask questions like "What was revenue last quarter?" or "Show top customers by spend".

Documentation

1Data Synced

Transactions:

  • Charges (successful and failed)
  • Refunds and partial refunds
  • Disputes and chargebacks
  • Payment method details

Customers:

  • Customer profiles
  • Contact information
  • Custom metadata
  • Payment methods on file

Subscriptions:

  • Active subscriptions
  • Plan details and pricing
  • MRR (Monthly Recurring Revenue)
  • Subscription status changes

Invoices:

  • Billing history
  • Payment status
  • Invoice line items
  • Due dates and amounts

2Sync Frequency

Real-time (Webhooks):

  • Instant updates via Stripe webhooks
  • Available on Pro and Business plans
  • Best for time-sensitive operations

Hourly:

  • Syncs every hour
  • Recommended for most users
  • Balances freshness with API usage

Daily:

  • Once per day (configurable time)
  • Sufficient for reporting use cases
  • Lowest API usage

3Schema

Tables Created:

stripe_transactions

  • Transaction ID, amount, currency
  • Customer ID (foreign key)
  • Payment method, status
  • Created/updated timestamps

stripe_customers

  • Customer ID, email, name
  • Metadata fields
  • Payment methods
  • Subscription count

stripe_subscriptions

  • Subscription ID, status
  • Customer ID (foreign key)
  • Plan details, MRR
  • Start/end dates

Automatic Joins: Customer data is automatically linked to transactions via foreign keys, enabling queries like "revenue by customer" without manual joins.

4Security

OAuth 2.0:

  • Industry-standard authentication
  • No API keys to manage
  • Granular permissions

Encrypted Storage:

  • Credentials encrypted at rest
  • TLS for data in transit
  • Regular security audits

Access Control:

  • Revoke access anytime from Stripe dashboard
  • Audit log of all sync operations
  • Data deletion available on request

Frequently Asked Questions

Ready to Automate Your Stripe Data?

Join the waitlist to get early access when the Stripe connector launches. Be among the first to eliminate manual payment data exports.