Sherlock Calls
for Gmail + PostgreSQL
Gmail stores the complete email history of every customer relationship. PostgreSQL stores your application's core operational data and business records. 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
- 1
Sherlock Calls connects to Gmail, PostgreSQL simultaneously — read-only, no code changes, no webhooks — and lets you query both with a single Slack message.
- 2
Ask questions that neither Gmail nor PostgreSQL can answer alone. Gmail holds the richest context — but no one correlates it with call records in real time. PostgreSQL holds every business record your app has ever created — but turning that into an answer requires a developer to write the query. Sherlock deduces the complete picture from both.
- 3
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 productivity + database query
2
Connected platforms, 1 Slack question
0
Code changes or webhooks required
The Investigation Gap
What's invisible when you use Gmail + PostgreSQL without Sherlock
Each platform shows you its own data. But the questions that matter most live in the gaps between them.
PostgreSQL business context is never brought alongside Gmail data queries
The decisions, commitments, and customer context documented in PostgreSQL — meeting notes, email threads, shared documents — are invisible when your team queries Gmail. They work the data without the story that explains it.
Gmail anomalies have no corresponding PostgreSQL documentation trail
When Gmail data shows an unexpected pattern — a sudden drop in a key table, an unusual event spike — the PostgreSQL context that would explain it (a meeting decision, a product change, an email thread) is never surfaced alongside the raw data.
Decisions made in PostgreSQL affect Gmail data but are never connected
Strategic decisions discussed in PostgreSQL meetings or email threads often produce downstream Gmail data changes. But those two events — the decision and its data consequence — are never explicitly linked, making post-hoc analysis guesswork.
Cross-Provider Questions
What teams ask Sherlock about Gmail + PostgreSQL
Questions that would take hours to answer manually — answered in under 5 seconds from Slack.
- SC“Which Gmail decisions from meeting notes correspond to PostgreSQL schema or data changes this quarter?”
- SC“Show me PostgreSQL anomalous records and the Gmail team context — emails, notes — from the same period”
- SC“Find Gmail emails referencing data issues that correspond to PostgreSQL table changes in the same window”
- SC“Which PostgreSQL data events have no corresponding Gmail team communication or documentation?”
- SC“Show me Gmail meeting decisions that affected PostgreSQL business data but have no corresponding audit trail”
Beta Setup
Connect Gmail + PostgreSQL to Sherlock in 2 minutes
No code, no webhooks, no new dashboards. Beta users get direct onboarding support.
- 1
Connect Gmail
Add your Gmail credentials to Sherlock Calls. Read-only access — no code changes, no webhooks, no Gmail configuration required.
- 2
Connect PostgreSQL
Add your PostgreSQL credentials. Sherlock indexes all relational tables, business records, operational data, and application state automatically.
- 3
Ask your first cross-provider question. The game is afoot.
Type any question about your combined Gmail + PostgreSQL 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 + Gmail + PostgreSQL
How does Sherlock Calls connect Gmail and PostgreSQL data?
- Sherlock uses read-only API access to both platforms simultaneously. When you ask a question, it queries Gmail, PostgreSQL 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 Gmail and PostgreSQL?
- 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 Gmail + PostgreSQL stack?
- You can investigate anything that spans both platforms — customer email frequency and recency, table row counts and query latency, 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 Gmail and PostgreSQL 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 Gmail and PostgreSQL and is accessed only during an active investigation.
How long does it take to set up the Gmail + PostgreSQL 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 + Gmail + PostgreSQL
We're accepting a select group of beta users to shape the Gmail + PostgreSQL combination. Tell us about your stack and we'll reach out personally if you're a fit.
Explore individual integrations