Hex
A data notebook platform that turns plain-language questions into SQL, charts, and shareable dashboards.
Independent overview by new Mantra · updated July 15, 2026
- Category
- Operations
- Pricing
- Free Community; Professional $36/editor/mo; Team $75/editor/mo; Enterprise custom
- Implementation
- 2-4 weeks
- Adoption risk
- Medium
- Integrates with
- Slack, MCP, CLI
What Hex does
Hex is a data notebook platform built around an AI agent — called the Notebook Agent — that accepts plain-English prompts and responds by writing SQL or Python, running it against your connected data sources, and producing charts or full analyses. Instead of waiting for an analyst to build a report, a team member can ask a question and receive a structured, data-backed answer.
Beyond individual queries, Hex lets teams publish those notebooks as interactive data apps — filterable dashboards that non-technical colleagues can explore without touching any code. The platform also supports conversational self-serve through Slack, so people can ask data questions where they already work and get answers drawn from the same underlying models analysts use.
Hex places particular emphasis on trust and governance. Administrators can review how the agent reached its answers, manage the context it draws on, and endorse specific data sources and semantic models as authoritative. This observability layer is intended to give organisations confidence that AI-generated answers reflect their actual business data rather than hallucinated figures.
Key capabilities
Natural-language to SQL/Python
The Notebook Agent takes a plain-English question, writes the SQL or Python needed to answer it, and executes it against your connected data sources — no manual coding required.
Automated chart and report building
From a single prompt, the agent can generate multiple charts and chain follow-up analyses, building out a full report rather than just answering one question at a time.
Interactive data app publishing
Completed notebooks can be published as interactive dashboards with filters and drill-downs that business users can explore without needing to edit any underlying code.
Slack and multi-channel access
Team members can query their data directly inside Slack, with answers and charts returned in-thread; Hex also supports MCP and CLI access for teams that want to integrate it into other workflows.
Agent observability and context governance
Admins can see exactly what context the agent used to construct each answer, endorse trusted data sources and semantic models, and review warnings where answers may be incomplete or uncertain.
Semantic model authoring
Teams can define and maintain semantic models — standardised definitions of metrics, dimensions, and regions — so that all agent answers across the organisation draw from the same agreed-upon definitions.
Best for
- Data teams that want to reduce the volume of one-off report requests by giving business users a governed self-serve analytics solution.
- Organisations in finance, professional services, or retail that need repeatable, auditable analysis tied to their own data sources.
- Teams where analysts currently spend significant time building charts manually and want to accelerate that work through an AI agent.
- Businesses that already use Slack and want data answers to surface in existing communication channels rather than requiring users to open a separate solution.
- Companies that need confidence in AI-generated answers and want visibility into how those answers were produced before rolling out self-serve analytics broadly.
Worth knowing
- Implementation is estimated at two to four weeks, so this is not an same-day deployment; plan for a setup period to connect data sources, define semantic models, and configure context for the agent.
- Pricing is mid-tier ($$) and is not published openly — you will need to contact Hex directly for current figures, which makes upfront budget planning harder without a vendor conversation.
- The quality of AI-generated answers depends significantly on how well your semantic models and context are curated; teams without existing well-structured data models may need to invest in that groundwork first.
- If your organisation has no dedicated data or analytics function, the governance and context-curation features that underpin trusted answers may require more administrative effort than anticipated.
- Hex is positioned as an analytics and data-notebook platform; if your primary need is something other than data analysis — such as document automation or customer-facing AI — a different category of solution is likely a better fit.
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