Your financials
are moving. Know why.
StripePilot turns your Stripe data into a live financial intelligence layer — revealing what changed, why it matters, and what to do next.
Secure Stripe connection · Verified metrics · Grounded AI answers
- What changedRevenue increased 12.4% this period.
- WhyExisting customer expansion contributed most of the increase.
- AttentionFailed payments increased 19% over the last 14 days.
- RecommendedReview 14 customers with repeated payment failures.
- --:--:--Payment failedHanover Group$2,485.00 at risk
- --:--:--Payment failedAcme Inc.$754.00 at risk
- --:--:--Payment failedVertex$1,622.00 at risk
- --:--:--Payment failedHanover Group$2,491.00 at risk
- --:--:--Payment failedNorthstar Labs$760.00 at risk
- --:--:--Payment failedVertex$1,629.00 at risk
Stripe gives you the data. We give you the answer.
See what changed
Revenue, MRR, customers, payments and subscriptions in one place.
Understand why
AI Analyst traces answers back to verified financial data.
Know what to do
Surface important anomalies, exceptions and actions.
One connection. Your whole financial picture.
Connect your Stripe account and StripePilot handles the rest — organizing, explaining and prioritizing what deserves attention.
- 01
Connect
Connect your Stripe account with a secure OAuth connection.
- 02
Understand
StripePilot continuously organizes and normalizes your financial data.
- 03
Explain
AI explains the changes that matter, grounded in verified numbers.
- 04
Act
Surface the next thing genuinely worth investigating.
Your numbers tell a story. StripePilot explains it.
Every card is a live product preview using simulated activity — in your workspace these read from your own Stripe data.
Revenue increased 12.4%.
Existing customers generated most of the expansion.
Failed payments increased 19%.
14 customers may require attention.
MRR increased $8,400.
Expansion revenue exceeded churn.
Stop hunting through dashboards.
Every metric comes from the same financial data engine — computed server-side in integer minor units, with the period and source recorded alongside the number.
Know where every dollar went.
Stripe activity flows into payouts and bank records. Deterministic rules decide the match; the Analyst only explains it.
AI explanation: Most unmatched transactions are timing differences. Three require investigation.
Deterministic rules decide matches and confidence. The Analyst only explains the evidence.
- Match confidence
- 72% — partial
- Evidence
- Amount matches; settlement date differs by 2 days
- Exception reason
- Bank credit posted after cut-off
- Recommended action
- Confirm timing difference and accept match
Ask your financial data anything.
Revenue was $248,310 this month, up 12.4% from $220,920.
Expansion on existing subscriptions contributed $21,400 of the $27,390 increase.
MRR rose to $81,240, lifting annualised run-rate by roughly $256,800.
Protect the gain: 14 customers have repeated payment failures worth $6,120 in MRR.
Grounded, not guessed
Every answer is assembled from the same Metric Engine and reconciliation records the product uses. The model reads approved tools only — it never runs its own arithmetic on your money.
- Question
- Intent
- Approved tool
- Verified data
- Model
- Validation
- Provenance
AI can still be wrong. Answers show their source so you can check them.
Know which customers drive your business.
- Lifetime revenue
- $48,920
- Current MRR
- $2,400
- Revenue trend
- +8.2% / 90d
- Payment history
- 34 paid · 1 failed
- Subscription
- Scale · annual
- Refunds
- $180
This account has grown three quarters in a row and now sits in your top 2% by lifetime revenue. One failed payment last month resolved on retry.
Illustrative example. Your workspace only ever shows your own Stripe data.
Don't wait for failed payments to become lost revenue.
- Payment success rate
- 96.2%
- Failed payments
- 78
- Refunds
- $4,310
- Payment trend
- +3.1% volume
- Repeated failures
- 14 customers
- At-risk MRR
- $6,120
Failed payments increased 19% over the last 14 days, concentrated in cards expiring this quarter.
Illustrative example. Your workspace only ever shows your own Stripe data.
Understand what is driving recurring revenue.
- MRR
- $81,240
- ARR
- $974,880
- New
- +$9,300
- Expansion
- +$21,400
- Contraction
- −$2,100
- Churn
- −$3,210
Expansion outpaced churn by 6.6x this month, so recurring revenue growth is coming from existing customers rather than new logos.
Illustrative example. Your workspace only ever shows your own Stripe data.
Built for financial data.
Secure Stripe Connect
OAuth with signed, single-use state and an explicit redirect allowlist.
Workspace isolation
Every financial record is scoped to one organization, server-side.
Row-level security
Postgres RLS policies enforce organization membership on every table.
Encrypted credentials
Provider credentials are encrypted at rest with AES-256-GCM.
Auditable reconciliation
Every match, approval and reversal is written to an append-only audit trail.
Verified AI answers
Analyst answers are validated against the Metric Engine before display.
Data provenance
Each number records its source, period and ingestion time.
Simple pricing. Serious financial intelligence.
Start free. Upgrade when your business grows.
See it.
- 1 Stripe account
- 90 days of history
- Revenue, customer, payment & subscription analytics
- Basic reconciliation with exception detection
- 25 AI Analyst questions / month
Understand it.
- Everything in Starter
- Unlimited history
- Full reconciliation: grouping, saved views, quality reports
- 250 AI Analyst questions / month
- Conversation history & streaming analyst
Operate it.
- Everything in Pro
- 3 Stripe accounts · 5 team members
- 1,000 AI Analyst questions / month
- Advanced reporting & automated alerts
- Advanced exports & API access
Control it.
- Everything in Growth
- Unlimited Stripe accounts, workspaces & seats
- 5,000 AI Analyst questions / month
- Custom metrics, dashboards & alerts
- Enterprise reconciliation & advanced controls
$799 one-time payment. First 100 companies only.
Your Stripe account already has the answers.
We make them understandable.