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SQL cell
quarterproduct_lineregioncustomer_sectorrevenue_usd
0Q3-2025Teleportation padsCore WorldsDefense18200000
1Q3-2025Quantum drivesCore WorldsDefense16500000
2Q3-2025Wormhole initiatorsCore WorldsDefense14800000
Revenue Trends by Product Line (Q1-Q3)
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Account Revenue vs Growth (Q3)
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Galactic Revenue Distribution by Product Line (Q3)
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Sector Revenue Mix by Product Line (Q3)
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magicAgent
History
/NexaCorp Revenue Insights
plus
close-small
Get me NexaCorp's Q3 sales by product line
I'll help you analyze NexaCorp's revenue by product line. I'll pull data from Q1-Q3 so you can compare trends over the last few quarters and see how Q3 fits into the broader pattern.
chevron-downThought for 23 seconds

NexaCorp revenue trends by product line

Here's what I found in the "nexacorp_sales" tables (powered by the Galactic Sales semantic model):

  • Teleportation pads$42.3M
  • Quantum drives$38.7M
  • Wormhole initiators$33.1M
  • Dark matter lasers$28.6M
  • Temporal stabilizers$21.8M
  • Anti-gravity generators$11.2M
chart
Created Revenue by Product Line Over Time (Q1-Q3)
chart
Created Account Revenue vs Growth (Q3)
I also created a chart showing revenue vs growth. Let me know if you'd like to break this down by region or customer sector.
Can you break this out by region too? I want to see how each product line performed across the Core Worlds, Mid-Rim, and Outer Rim.
I'll help you analyze NexaCorp's Q3 revenue by product line and region. Let me search for the most relevant data source.
chevron-downThought for 11 seconds
I found regional revenue data in the endorsed semantic model "NexaCorp: Galactic Sales Model." This model contains standardized region definitions (Core Worlds, Mid-Rim, Outer Rim) and pre-calculated revenue metrics, which is the best source for your question.

Let me create a grouped bar chart so you can compare regions within each product line:
chart
Created Galactic Revenue Distribution by Product Line (Q3)
Quick insight: Core Worlds lead revenue for Teleportation pads and Quantum drives, while Wormhole initiators see a stronger mix from the Outer Rim.
Can you also show how revenue breaks down by customer sector?
I'll help you analyze NexaCorp's Q3 revenue by product line and customer sector. Let me search for the most relevant data source.
chevron-downThought for 17 seconds
I found customer sector data in the same NexaCorp: Galactic Sales Model. This includes standardized sector definitions (Defense, Commercial, Research, Government) and pre-calculated revenue metrics.

Let me compute the sector mix for each product line so you can compare buyer patterns.
chart
Created Sector Revenue Mix by Product Line (Q3)
Quick insight: Defense drives most high-value product-line revenue, while Research over-indexes for Anti-gravity generators and Wormhole initiators.
plus
NexaCorp Galactic Warehousechevron-down
enter
Conversational self-serve
Get me NexaCorp's Q3 sales by product line
I'll help you analyze NexaCorp's revenue by product line. I'll pull data from Q1-Q3 so you can compare trends over the last few quarters and see how Q3 fits into the broader pattern.
chevron-downThought for 23 seconds

NexaCorp revenue trends by product line

Here's what I found in the "nexacorp_sales" tables (powered by the Galactic Sales semantic model):

  • Teleportation pads$42.3M
  • Quantum drives$38.7M
  • Wormhole initiators$33.1M
  • Dark matter lasers$28.6M
  • Temporal stabilizers$21.8M
  • Anti-gravity generators$11.2M
Revenue by Product Line Over Time (Q1-Q3)
exploreExplore
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Account Revenue vs Growth (Q3)
exploreExplore
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I also created a chart showing revenue vs growth. Let me know if you'd like to break this down by region or customer sector.
Can you break this out by region too? I want to see how each product line performed across the Core Worlds, Mid-Rim, and Outer Rim.
I'll help you analyze NexaCorp's Q3 revenue by product line and region. Let me search for the most relevant data source.
chevron-downThought for 11 seconds
I found regional revenue data in the endorsed semantic model "NexaCorp: Galactic Sales Model." This model contains standardized region definitions (Core Worlds, Mid-Rim, Outer Rim) and pre-calculated revenue metrics, which is the best source for your question.

Let me create a grouped bar chart so you can compare regions within each product line:
Galactic Revenue Distribution by Product Line (Q3)
exploreExplore
Teleportation pads
Quantum drives
Wormhole initiators
Dark matter lasers
Temporal stabilizers
Anti-gravity generators
0%
20%
40%
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100%
Quick insight: Core Worlds lead revenue for Teleportation pads and Quantum drives, while Wormhole initiators see a stronger mix from the Outer Rim.
plus
NexaCorp Galactic Warehousechevron-down
enter
Beautiful data apps
Summary
Regions
Customer Sectors
Product Lines
$175.7M
Total Q3 Revenue
9.7% vs last quarter
Mid-Rim
Top Growth Region
4.1% vs last quarter
Commercial
Highest Revenue Sector
3.0% vs last quarter
Product Line
All
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All product lines
Teleportation pads
Quantum drives
Wormhole initiators
Dark matter lasers
Temporal stabilizers
Anti-gravity generators
Region
All
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All regions
Core Worlds
Mid-Rim
Outer Rim
Customer Sector
All
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All customer sectors
Defense
Commercial
Research
Government
Quarter
Q3
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All quarters
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exploreExplore
Revenue by Product Line Over Time (Q1-Q3)
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Account Revenue vs Growth by Product Line
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Revenue Mix by Customer Sector
Teleportation pads
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Temporal stabilizers
Anti-gravity generators
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magicAgent
History
/New thread
plus
close-small
How did Commercial revenue perform in the Mid-Rim in Q3?
I’ll update the app to focus on that.
chevron-downThought for 17 seconds
  • Customer Sector → Commercial
  • Region → Mid-Rim

With those filters applied, the Revenue by Product Line Over Time (Q1–Q3) chart shows Commercial revenue in the Mid-Rim increasing through Q3, ending the quarter at its highest point in the time range.

You can switch Product Line to isolate what’s driving that growth, or change Quarter to compare against earlier periods.

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Everyone’s using AI now… and it’s a mess. Random chat apps, rogue dashboards, vibe-coded HTML files, loose spreadsheets, inconsistent answers, and lots of risk – and it’s just getting worse.

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Get me NexaCorp's Q3 sales by product line
I'll help you analyze NexaCorp's revenue by product line. I'll pull data from Q1-Q3 so you can compare trends over the last few quarters and see how Q3 fits into the broader pattern.
chevron-downThought for 23 seconds

NexaCorp revenue trends by product line

Here's what I found in the "nexacorp_sales" tables (powered by the Galactic Sales semantic model):

  • Teleportation pads$42.3M
  • Quantum drives$38.7M
  • Wormhole initiators$33.1M
  • Dark matter lasers$28.6M
  • Temporal stabilizers$21.8M
  • Anti-gravity generators$11.2M
Revenue by Product Line Over Time (Q1-Q3)
exploreExplore
50
40
30
20
10
0
Q1
Q2
Q3
Account Revenue vs Growth (Q3)
exploreExplore
25
20
15
10
5
0
0
10
20
30
40
50
I also created a chart showing revenue vs growth. Let me know if you'd like to break this down by region or customer sector.
Can you break this out by region too? I want to see how each product line performed across the Core Worlds, Mid-Rim, and Outer Rim.
I'll help you analyze NexaCorp's Q3 revenue by product line and region. Let me search for the most relevant data source.
chevron-downThought for 11 seconds
I found regional revenue data in the endorsed semantic model "NexaCorp: Galactic Sales Model." This model contains standardized region definitions (Core Worlds, Mid-Rim, Outer Rim) and pre-calculated revenue metrics, which is the best source for your question.

Let me create a grouped bar chart so you can compare regions within each product line:
Galactic Revenue Distribution by Product Line (Q3)
exploreExplore
Teleportation pads
Quantum drives
Wormhole initiators
Dark matter lasers
Temporal stabilizers
Anti-gravity generators
0%
20%
40%
60%
80%
100%
Quick insight: Core Worlds lead revenue for Teleportation pads and Quantum drives, while Wormhole initiators see a stronger mix from the Outer Rim.
plus
NexaCorp Galactic Warehousechevron-down
enter
Show NexaCorp Q3 sales

Hex get me NexaCorp’s Q3 sales by product line

Worked for 27s
Search projects

NexaCorp Q3 sales by product line

Here’s what I found in the “nexacorp_sales” tables:

  • Teleportation field extenders — $42.3M
  • Quantum drives — $38.7M
  • Wormhole initiators — $33.1M
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NexaCorp Q3 revenue trends by product line

Here's what I found in the “nexacorp_sales” tables (powered by the Galactic Sales semantic model):

  • Teleportation pads $42.3M
  • Quantum drives $38.7M
  • Wormhole initiators $33.1M
  • Dark matter lasers $28.6M
  • Temporal stabilizers $21.8M
  • Anti-gravity generators $11.2M
Revenue Trends by Product Line (Q1-Q3) (56 kB)
50
40
30
20
10
0
Q1
Q2
Q3
Let me know if you'd like to break this down by region or customer sector.
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Evals

Q3 Enterprise Launch Readiness

3 passed2 failed
GradePromptAttemptsRubricsAverage timeTotal credits
PassedHow much ARR do we have from currently active customers?Passed1/1356s8.6
RubricAttempt 1 Passed

Numeric target: SQL ground truth

Numeric value
Passed
Reported: 26683729
Expected: 26683729 (SQL result)

Did the agent source ARR from dim_customers.total_arr (the canonical point-in-time ARR source) joined to dim_accounts for the account status - rather than deriving ARR from opportunity amounts, targets, or any other table?

Thread judge
Passed

The agent returned $26,683,729 using dim_customers.total_arr joined to dim_accounts and filtered on account_status = 'Active'.

Did the agent apply the correct definition of "active" - the account lifecycle status flag (dim_accounts.account_status = 'Active') - rather than a product-usage, login-based, or invented definition?

Thread judge
Passed

The agent summed dim_customers.total_arr for records joined to accounts where dim_accounts.account_status = 'Active', returning $26,683,729.

52s agent 4.6s judge 8.6 credits
PassedWhich features are included in the NexaCorp Enterprise launch?PassedPassedPassed3/3341.8s9.2
FailedWhat migration discounts are available for existing NexaCorp customers?PassedFailedFailed1/3238.6s7.4
FailedWhich connectors are generally available on launch day?PassedPassedFailed2/3233.2s7.0
PassedSummarize the Q3 Enterprise messaging for SalesPassedPassedPassed3/3347.9s9.5
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FAQ

What is Hex?
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Hex is the AI Analytics Platform where trust meets insight: a single, connected workspace where data practitioners run deep analysis, business users ask questions in plain language, and everyone collaborates on the same data. A shared context engine ensures every AI-generated insight is accurate and consistent.
What is an AI Analytics Platform?
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An AI Analytics Platform combines three capabilities in one connected system: AI agents for deep analysis, conversational self-serve so anyone can ask questions in plain language, and trusted data apps for sharing insights. The platform part is what matters: everything runs on shared context, so every answer is consistent and trustworthy, whether it comes from an analyst's notebook or a business user's question.
Who uses Hex?
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Hex allows anyone to get answers from data with AI. Whether you’re a member of the data team running code-based experiments or a business user looking to self-serve a one-off question, Hex provides tailored AI-workflows for you to find answers from data, faster.
Why do data teams switch to Hex?
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Data teams switch to Hex because it gives them one connected, AI-native workspace for everything they do with data. Deep analysis, one-off questions, and critical business dashboards all happen on the same trusted context. Instead of juggling separate notebooks, BI tools, and ad-hoc Slack requests, Hex brings data work & AI together in one place.
Can business users access data without knowing SQL or Python?
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Yes. Hex lets anyone ask questions in plain language in Hex, Slack, or via MCP and get AI-generated analysis backed by your actual data, metrics, and business rules. No SQL, no Python, no ticket to the data team. And when a question needs deeper investigation, a data practitioner can jump directly into the same workflow without switching context.
How does Hex ensure AI answers are accurate and trustworthy?
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Hex's context engine combines database descriptions, semantic models, business rules, and analytical logic into one curated layer that powers every AI answer. Data teams can observe what’s being asked, catch inconsistencies, and continuously improve context over time. The result: business users get answers they can act on, and data teams maintain visibility and control over every insight.
How is Hex different from traditional BI tools like Tableau or Looker?
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Traditional BI tools separate deep analytical work from reporting, meaning multiple tools and multiple sources of truth. Hex doesn't make that tradeoff. A complex model built by a data scientist can become an interactive app for business users with one click. When that app raises a new question, anyone can ask it in plain language using all the logic the analyst built. One platform, one shared context layer.
How is Hex different from just using ChatGPT or an AI assistant for data?
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Horizontal AI tools don't know your company's data, your business definitions, or your metrics. They generate plausible-sounding answers that may not reflect your actual numbers. Hex's AI is grounded in your real data, connected to your warehouse, and governed by your metric definitions and business rules. The resulting insights are specific, trusted, and consistent — and built to improve the more your team uses it.
How is Hex different than other AI Analytics platforms?
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Most AI analytics tools force you to choose between conversational self-serve or code-based analysis. Each runs on different context, produces different answers, and often requires copying and pasting underlying logic across tools just to validate what’s correct. Hex doesn’t just combine these workflows—it connects them. Whether you’re exploring with code in the Notebook or plain language in Threads, every answer is explainable, editable, reusable, and grounded in the same shared context.
How is Hex different than point solution analytics tools?
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Hex enables you to bring all your business’s critical data context into one workspace. Solution-specific analytics platforms exacerbate tool sprawl and siloed workflows between teams, while creating governance gaps leading to poor decisions and thrash.
How is Hex different from what Snowflake and Databricks offer?
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Snowflake and Databricks are where your data lives: storage, compute, and governance. Hex is where people work with that data. We connect natively to both, so nothing has to move and your existing permissions carry over, and we layer on the agentic analysis, self-serve Q&A, and context tools that turn what’s in your warehouse into trusted answers for data teams and business users alike. Most Hex customers run on Snowflake or Databricks today, and Hex makes that investment more useful, not something to replace.

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