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ChatGPT Plugin

Revenue Analytics

Non-trivial RevOps reports

View in the ChatGPT registry
Brand
Unknown
Category
Pending
Primary Subcategory
Pending
Integration details

Description

Revenue Analytics by DataLabs.store connects your HubSpot data to ChatGPT. It continuously replicates your portal (custom objects, deals, contacts, companies, line items, engagements, email events) into a real relational Microsoft SQL Server database whose schema matches your portal, then lets ChatGPT query it in plain English and return answers backed by the exact SQL that produced them. Why it exists HubSpot is built to run your CRM at scale, and its reporting tools are genuinely good at what they were designed for. The limit is structural: standard reports are built one object at a time, so questions that need several tables joined together before the math even starts do not fit. Per-deal margin (deals joined to their line items), multi-hop paths (deal to contact to company to source), correctly weighted stats (SUM(clicks)/SUM(delivered), not an average of averages), cohorts, and window functions all need a real database underneath. That is the job this fills. What you can ask - "Rank owners by weighted pipeline (each deal's amount times its real stage odds) and their historical win rate." - "Unique click-through rate by acquisition source, weighted by delivered volume, for contacts who became customers." - "Which deals are aging past 90 days, and where does our ARR actually concentrate?" Then keep drilling: "now split by pipeline... now only Q2... now show the trend." What makes it different - Real joins across any objects, expressed as one query. - Every answer is auditable: the exact SQL ships with the number, so you can verify and reproduce it. - You bring the model: full frontier ChatGPT reasoning runs over your own data. - Complementary to HubSpot's own AI. Breeze works inside the CRM; this understands the data behind it. A note on sensitive data This app's HubSpot integration requests only standard, non-sensitive OAuth read scopes for CRM analytics. It does not request HubSpot's sensitive scope grants (for example, crm.objects.contacts.sensitive.read). Because HubSpot enforces this at the API level, any property a customer has explicitly marked as a "sensitive data" property inside their own HubSpot account is withheld by HubSpot and never delivered to our sync process. It cannot enter the customer's synced database, and therefore cannot be returned by any of this MCP's tools, regardless of the query executed.

Integration type
Plugin
Verification status
Not applicable
Platform
ChatGPT
Category
Pending

The broad Category that contains the Primary Subcategory.

Primary Subcategory
Pending

The Primary Subcategory used for this profile’s headline score.

Secondary Subcategories
None listed

Other Subcategories where the Integration is listed.

Brand
Unknown
Access
Account required
First tracked
2026-09-30
Tool count
13
Geography
US
Agent DiscoverabilityChatGPT Plugin Discovery Score

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What discovery looks like

ChatGPT recommends Airtable when a user asks it to update a CRM.
ChatGPT surfaces Airtable because it matches the user's request.

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Primary Subcategory

Competitive lineup

No Primary Subcategory assigned yetOnce Revenue Analytics has a Primary Subcategory, the Plugins and Connectors it competes with will appear here with their scores.
Tools

13 tools agents can invoke

Recommended guideThe Complete Guide to ChatGPT Plugin DiscoverabilityFollow the practical steps agents use to find, shortlist, and choose your Plugin.Read guide
FAQs

Revenue Analytics FAQ

How the directory, categories and Discoverability Score work.

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How do I improve a ChatGPT Plugin's discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.