Sherlock Calls
for ClickHouse + Genesys Cloud
ClickHouse stores and queries high-volume event and operational data at scale. Genesys Cloud manages enterprise contact center interactions and routing. 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 ClickHouse, Genesys Cloud 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 ClickHouse nor Genesys Cloud can answer alone. ClickHouse holds the raw source of truth — but querying it for business questions requires SQL access and data engineering resources. Genesys Cloud shows queue KPIs — not how they connect to revenue or churn. 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 + contact center query
2
Connected platforms, 1 Slack question
0
Code changes or webhooks required
The Investigation Gap
What's invisible when you use ClickHouse + Genesys Cloud without Sherlock
Each platform shows you its own data. But the questions that matter most live in the gaps between them.
ClickHouse interaction outcomes are disconnected from Genesys Cloud application state
ClickHouse logs what happened in the contact center. Genesys Cloud holds the application records the customer was calling about. Whether the ClickHouse interaction resolved the Genesys Cloud issue — and updated the right record — is a question neither platform can answer alone.
Genesys Cloud application errors generate ClickHouse contact volume that goes unattributed
When Genesys Cloud has a data error or an edge case that produces a bad customer experience, the resulting ClickHouse contact volume is logged without the Genesys Cloud root cause. Engineering and operations work from different timelines on the same underlying problem.
Post-interaction ClickHouse QA has no Genesys Cloud business impact context
ClickHouse measures handle time, CSAT, and resolution rate. Genesys Cloud holds the downstream business outcome — did the Genesys Cloud record get updated correctly, did the customer actually churn? Without joining both, QA optimises the conversation, not the business result.
Cross-Provider Questions
What teams ask Sherlock about ClickHouse + Genesys Cloud
Questions that would take hours to answer manually — answered in under 5 seconds from Slack.
- SC“Which Genesys Cloud interaction topics correlate with specific ClickHouse application state changes?”
- SC“Show me Genesys Cloud contact volume spikes and the ClickHouse events that triggered them”
- SC“Which ClickHouse records are most frequently referenced in Genesys Cloud interactions this week?”
- SC“Find customers with high Genesys Cloud contact frequency and their corresponding ClickHouse account status”
- SC“What ClickHouse application errors are generating the most Genesys Cloud support interactions?”
Beta Setup
Connect ClickHouse + Genesys Cloud to Sherlock in 2 minutes
No code, no webhooks, no new dashboards. Beta users get direct onboarding support.
- 1
Connect ClickHouse
Add your ClickHouse credentials to Sherlock Calls. Read-only access — no code changes, no webhooks, no ClickHouse configuration required.
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Connect Genesys Cloud
Add your Genesys Cloud credentials. Sherlock indexes all contact center queues, interaction records, and agent metrics automatically.
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Ask your first cross-provider question. The game is afoot.
Type any question about your combined ClickHouse + Genesys Cloud 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 + ClickHouse + Genesys Cloud
How does Sherlock Calls connect ClickHouse and Genesys Cloud data?
- Sherlock uses read-only API access to both platforms simultaneously. When you ask a question, it queries ClickHouse, Genesys Cloud 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 ClickHouse and Genesys Cloud?
- 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 ClickHouse + Genesys Cloud stack?
- You can investigate anything that spans both platforms — query volume and event ingestion rate, service level and first-call resolution rate, 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 ClickHouse and Genesys Cloud 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 ClickHouse and Genesys Cloud and is accessed only during an active investigation.
How long does it take to set up the ClickHouse + Genesys Cloud 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 + ClickHouse + Genesys Cloud
We're accepting a select group of beta users to shape the ClickHouse + Genesys Cloud combination. Tell us about your stack and we'll reach out personally if you're a fit.
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