Payments

Analyze Stripe data with AI

Ask your Stripe data anything. MRR, churn, refunds — answered in plain English.

Integrations

Analyze Stripe alongside your other data sources

What you can ask

Questions you can answer instantly

What's our MRR for May, broken down by plan?
How many customers churned last month?
Show me the top 10 customers by lifetime revenue.
What were our Stripe fees in Q1?
List failed payment intents in the last 7 days with the failure reason.
How much did we refund last month?
Which subscriptions on the Pro plan canceled in May?
What's our gross volume by day for the last 30 days?
List open disputes and the disputed amount.
What's our current available balance per currency?
Features

Revenue & Subscription Analytics

Track MRR, churn, expansion, and plan-level breakdowns without building a single chart in Stripe Sigma.

  • MRR and ARR by plan, segment, or cohort
  • Churn rate, downgrades, and upgrades by month
  • Trial-to-paid conversion across price points
  • Customer LTV and average revenue per account
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Cash Flow & Reconciliation

See exactly what hit your bank, what's pending, and where the fees went — straight from the balance ledger.

  • Net revenue and Stripe fees by month
  • Payouts and their underlying transactions
  • Refunds and disputes over any period
  • Currency-level breakdowns for international accounts
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Customer & Payment Investigation

Drill into individual customers, payments, and failures in seconds using Stripe Search Query Language under the hood.

  • Find customers by email, metadata, or creation date
  • List failed payment intents and the reason codes
  • Open disputes by status and creation date
  • Subscriptions on a specific price or coupon
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Frequently asked questions

How do I connect Stripe to Sequel?

Create a Restricted Key in your Stripe Dashboard with read-only permissions on the resources you want Sequel to query (customers, charges, invoices, subscriptions, etc.), paste it into Sequel's Stripe connector, and click Test. The whole process takes under a minute.

Should I use a Secret Key or a Restricted Key?

Always prefer a Restricted Key. It lets you scope access exactly to the resources Sequel needs (read-only), and you can revoke or rotate it from the Stripe Dashboard at any time without affecting the rest of your integrations.

Does Sequel use Stripe Connect / OAuth?

No. Stripe Connect OAuth is designed for platforms that act on behalf of merchants — marketplaces, billing-on-behalf-of, etc. Sequel reads your own Stripe data, where a Restricted Key is the simpler, narrower grant.

Can Sequel make changes to my Stripe account?

No. The Stripe connector ships only read tools (list customers, list charges, get balance, search, etc.) and you should pair it with a read-only Restricted Key for defense in depth.

Can I query both test and live Stripe data?

Yes. Create two separate connections — one with a test-mode key (rk_test_…) and one with a live-mode key (rk_live_…). Sequel keeps them isolated, and the connection name makes it obvious which is which.

Does Sequel store my Stripe data?

No. Sequel queries the Stripe API at the moment you ask a question and discards the results once they're shown to you. Only your Restricted Key is stored, encrypted at rest with AES-256-GCM.

Can I combine Stripe with other data sources?

Yes. Connect Stripe alongside Postgres, BigQuery, Google Analytics, or any other Sequel source and ask cross-source questions — like 'Show me MRR from Stripe alongside signups from Postgres by week'.

How fresh is the data?

It's live. Each query hits the Stripe API directly, so what you see is what Stripe has right now. The balance ledger and account events update within seconds of the underlying transaction.

What about Stripe Sigma — do I still need it?

Sigma is great for ad-hoc SQL if you already know SQL and the Stripe schema. Sequel replaces the parts of that workflow you don't enjoy: writing the SQL, remembering the column names, and waiting for the editor — you just ask a question.

Start analyzing your Stripe data today

Connect in minutes — then ask across all your data, not just one source.