Sherlock Calls
for PostgreSQL + Stripe
PostgreSQL stores your application's core operational data and business records. Stripe processes every payment, subscription, and billing event for your product. When you need to investigate across both, the evidence is split between two dashboards neither of which knows the other exists. Sherlock Calls bridges them — no code, no exports, no manual joins. Ask once from Slack and get a sourced answer in under 5 seconds.
TL;DR — What beta users get access to
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Sherlock Calls connects to PostgreSQL, Stripe simultaneously — read-only, no code changes, no webhooks — and lets you query both with a single Slack message.
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Ask questions that neither PostgreSQL nor Stripe can answer alone. PostgreSQL holds every business record your app has ever created — but turning that into an answer requires a developer to write the query. Stripe shows payment events — not which customer calls preceded or caused each one. Sherlock deduces the complete picture from both.
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No dashboard switching, no manual joins, no fog of uncertainty — ask in Slack and receive a sourced answer with evidence from every connected provider in under 5 seconds. The game is afoot.
<5s
Answer to any database + payments query
2
Connected platforms, 1 Slack question
0
Code changes or webhooks required
The Investigation Gap
What's invisible when you use PostgreSQL + Stripe without Sherlock
Each platform shows you its own data. But the questions that matter most live in the gaps between them.
Stripe payment events trigger PostgreSQL state changes that are never correlated
When a Stripe payment fails, it should trigger specific PostgreSQL record updates. When it succeeds, others. But whether the PostgreSQL application state correctly reflects every Stripe payment event — or silently diverged — requires a join nobody runs by default.
Churn signals that span Stripe payment failures and PostgreSQL usage drops are invisible
A customer who is about to churn often shows both Stripe payment stress and PostgreSQL usage decline in the same window. Each signal alone is ambiguous. Together, they're a clear early warning. But that combined view requires correlating both datasets — which most teams never do.
PostgreSQL subscription records and Stripe payment health tell different stories about the same customer
PostgreSQL application state may show an active subscription. Stripe may show a failed renewal that hasn't propagated yet. Identifying the gap — and fixing it before the customer notices — requires querying both in the same investigation.
Cross-Provider Questions
What teams ask Sherlock about PostgreSQL + Stripe
Questions that would take hours to answer manually — answered in under 5 seconds from Slack.
- SC“Which Stripe subscription state changes are not reflected in PostgreSQL application records?”
- SC“Show me customers with Stripe payment failures and their corresponding PostgreSQL activity in the same window”
- SC“Find PostgreSQL records for customers who churned in Stripe — what was their last application action?”
- SC“Which Stripe payment events trigger PostgreSQL state changes that most often lead to support contacts?”
- SC“What's the PostgreSQL usage pattern for customers who are at risk of Stripe payment failure this month?”
Beta Setup
Connect PostgreSQL + Stripe to Sherlock in 2 minutes
No code, no webhooks, no new dashboards. Beta users get direct onboarding support.
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Connect PostgreSQL
Add your PostgreSQL credentials to Sherlock Calls. Read-only access — no code changes, no webhooks, no PostgreSQL configuration required.
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Connect Stripe
Add your Stripe credentials. Sherlock indexes all payment events, charges, subscription state, and refunds automatically.
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Ask your first cross-provider question. The game is afoot.
Type any question about your combined PostgreSQL + Stripe stack in Slack. Sherlock queries all connected platforms in parallel, correlates the evidence, and returns a sourced answer in under 5 seconds.
FAQ
Common questions about Sherlock + PostgreSQL + Stripe
How does Sherlock Calls connect PostgreSQL and Stripe data?
- Sherlock uses read-only API access to both platforms simultaneously. When you ask a question, it queries PostgreSQL, Stripe in parallel, correlates the results by timestamp and shared identifiers, and produces a single sourced answer — the same way a good detective correlates evidence from multiple witnesses.
Do I need to set up any data pipelines between PostgreSQL and Stripe?
- No. Sherlock Calls is entirely pull-based — it queries both APIs on demand when you ask a question. There are no webhooks, no ETL pipelines, no data warehouses, and no code changes required in any of the connected platforms.
What kinds of questions can I ask about my PostgreSQL + Stripe stack?
- You can investigate anything that spans both platforms — table row counts and query latency, payment success rate and MRR movement, cross-platform costs, handoff patterns, and performance comparisons. Sherlock translates your plain-English question into the right API calls and returns the deduced answer.
Is my PostgreSQL and Stripe data stored by Sherlock?
- No. Sherlock Calls queries your data in real time and returns results directly to Slack — nothing is stored, indexed, or replicated in any Sherlock database. All data remains in PostgreSQL and Stripe and is accessed only during an active investigation.
How long does it take to set up the PostgreSQL + Stripe integration?
- Elementary — typically under 5 minutes total. Connect each platform with read-only credentials, install the Sherlock Calls Slack app, and ask your first question. No engineering, no dashboards, no onboarding calls required.
Apply for early access to Sherlock + PostgreSQL + Stripe
We're accepting a select group of beta users to shape the PostgreSQL + Stripe combination. Tell us about your stack and we'll reach out personally if you're a fit.
Explore individual integrations