Sherlock Calls
for Datadog + HubSpot
Datadog monitors every layer of your infrastructure with metrics and traces. HubSpot tracks every contact, deal, and touchpoint in your sales pipeline. 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 this combination does
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Sherlock Calls connects to Datadog, HubSpot 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 Datadog nor HubSpot can answer alone. Datadog shows infrastructure events — not how they map to call failures or customer impact. HubSpot shows pipeline — not which calls or conversations are actually driving it. 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 observability + CRM query
2
Connected platforms, 1 Slack question
0
Code changes or webhooks required
The Investigation Gap
What's invisible when you use Datadog + HubSpot without Sherlock
Each platform shows you its own data. But the questions that matter most live in the gaps between them.
Product reliability incidents during deal cycles are invisible to sales
Your HubSpot team is closing a major deal. Your infrastructure is having an incident tracked in Datadog. If the customer notices before you do — because your product degraded during their evaluation — the deal is at risk. That connection is invisible without both.
Post-sale Datadog incidents affecting key HubSpot accounts go unnoticed
When a Datadog incident affects your top HubSpot accounts, your customer success team often finds out from the customer rather than from an alert. Correlating Datadog account data with HubSpot incident timelines changes that.
Churn risk from product reliability is invisible in HubSpot
A customer who churns often had a bad reliability experience weeks earlier — tracked in Datadog but never connected to their HubSpot account record. The churn signal was in the data all along.
Cross-Provider Questions
What teams ask Sherlock about Datadog + HubSpot
Questions that would take hours to answer manually — answered in under 5 seconds from Slack.
- SC“Which HubSpot accounts experienced Datadog product incidents during their current deal stage?”
- SC“Show me Datadog service degradation events that occurred while key HubSpot deals were in final stages”
- SC“Find HubSpot accounts where post-sale Datadog incident frequency is highest — flag for churn risk”
- SC“What's the correlation between Datadog product reliability and HubSpot renewal rate by account segment?”
- SC“Which HubSpot enterprise accounts had the most Datadog incidents in the 30 days before renewal?”
Setup
Connect Datadog + HubSpot to Sherlock in 2 minutes
No code, no webhooks, no new dashboards. Just credentials and questions.
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Connect Datadog
Add your Datadog credentials to Sherlock Calls. Read-only access — no code changes, no webhooks, no Datadog configuration required.
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Connect HubSpot
Add your HubSpot credentials. Sherlock indexes all contacts, deals, pipeline stages, and activity history automatically.
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Ask your first cross-provider question. The game is afoot.
Type any question about your combined Datadog + HubSpot 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 + Datadog + HubSpot
How does Sherlock Calls connect Datadog and HubSpot data?
- Sherlock uses read-only API access to both platforms simultaneously. When you ask a question, it queries Datadog, HubSpot 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 Datadog and HubSpot?
- 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 Datadog + HubSpot stack?
- You can investigate anything that spans both platforms — alert rate, latency, and service health, deal velocity and stage conversion 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 Datadog and HubSpot 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 Datadog and HubSpot and is accessed only during an active investigation.
How long does it take to set up the Datadog + HubSpot 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.
Ready to investigate your Datadog + HubSpot stack?
Connect your Datadog + HubSpot accounts in 2 minutes. Start asking cross-provider questions in plain English from Slack and get instant, AI-powered answers.
No credit card required · 50 free credits
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