Transparent pricing

Simple pricing for AI you can trust. Viewers free, and unlimited AI credits included.

Free

$0

See what your team and AI can find together. No card required.

Get started

Includes:

  • 1 project, 3 canvases
  • Up to 5 users
  • Daily AI credit limits (limited models)
  • 1 database/MCP connection, web search, file uploads
  • 2 automations
  • Community support
Most popular

Pro

$49editor / month

Everything a small team needs to dig into their business.

Viewers free

Get started

Everything in Free, plus:

  • Unlimited AI credits*
  • Unlimited canvases, projects, reports & automations
  • 3 database/MCP connections
  • Shared agent skills & context
  • 4GB compute capacity (Python VM & dataset extract size)
  • Slack integration and MCP client
  • Email, Slack or Teams support

Enterprise

Let’s talk

Run Count at scale across your organization.

Get in touch

Everything in Pro, plus:

  • Unlimited editors
  • Choose your own models or bring your own API keys
  • Unlimited database connections
  • Governed semantic layer & admin change approvals
  • Up to 32GB compute capacity
  • REST API
  • Workspace telemetry
  • User groups, row-level security & embedded analytics
  • SSO, SCIM, HIPAA, EU/US data residency

*98% of teams never need to top up their AI credits.

Workspace usage
Free
Pro
Enterprise

Workspace users

Everyone in your workspace, whatever their role.

Up to 5
Up to 75
Unlimited

User roles

Owners, Admins and Editors are billable seats. Viewers and Report Viewers are free.

Everyone has full access
Owners, Editors, Viewers, Report Viewers
Pro roles + Admins

Projects

Group canvases by team or topic.

1
Unlimited
Unlimited

Canvases

Infinite workspaces for exploring and presenting data.

3
Unlimited
Unlimited

Reports & dashboards

Publish from your canvases.

Scheduled reports

Send reports by email and Slack on a schedule.

—
Unlimited
Unlimited

Agent automations

Scheduled runs of Count's agent.

2
Unlimited
Unlimited

Custom templates

Reusable canvas templates.

—

Version history

Snapshot and restore previous versions.

—
14 days
Unlimited

Custom fonts and styles

Keep every canvas on brand.

—
—
Permissions & sharing
Free
Pro
Enterprise

Public sharing

Share canvases via link.

✓ (can be disabled)

Domain whitelisting

Auto-join for your team.

Internal embedding

Embed canvases in Notion, Confluence and similar tools.

—

User groups

Manage access by group.

—
—

Row-level permissions

Control which rows each user can see.

—
—

White-label embedded analytics

Embed Count in your own product, under your brand.

—
—
AI & credits
Free
Pro
Enterprise

AI credits

Count matches every step to the right model, balancing cost and performance. *98% of teams never need a top-up.

Daily limit
Fair use*
Fair use*

Credit top-ups

Available if you need them.

—
Optional, with spend controls
Optional, with spend controls & volume discounts

Model selection

Count picks the best model for each step. Enterprise can also choose its own.

Automatic (limited models)
Automatic
Automatic or custom + admin controls

Bring your own API key

Anthropic, OpenAI, Google, or custom endpoints.

—
—
Data sources
Free
Pro
Enterprise

Database & MCP connections

BigQuery, Snowflake, Postgres and more, plus MCP connections.

1
3
Unlimited + admin approval

dbt integration

dbt Core and dbt Cloud.

—

Web search

Let the agent search the web.

✓ + admin controls

File upload

CSV, PDF, Excel, Word and more.

Google Sheets

Import data from Google Sheets.

Platform integrations
Free
Pro
Enterprise

Slack integration

Ask Count's agent from Slack.

—

Count MCP server

Control Count from Claude, Cursor or VS Code.

—

Canvas and query REST API

Programmatic access to canvases and queries.

—
—

Workspace management REST API

Control workspace members and permissions.

—
—
Context management
Free
Pro
Enterprise

Agent context

Context at workspace, project and data source level.

Agent skills

Shared, reusable skills for the agent.

—

Count Metrics

Semantic layer, compatible with Apache Ossie.

—
—

Change approvals

Review changes to context, skills and metrics.

—
—

Agent prompt analytics

See what your team asks the agent.

—
—
Analytics engine
Free
Pro
Enterprise

Compute layer capacity

The largest table Count's DuckDB compute layer can hold, so less load lands on your database.

500MB
2GB
Up to 32GB

Python VM size

Memory for Python cells.

500MB
2GB
Up to 32GB

Scheduled query caching

Set refresh rules for cached queries.

—
—
Governance & security
Free
Pro
Enterprise

SOC 2 and GDPR

Security and data protection on every plan.

No model training on your data

On every plan.

Google and Microsoft login

Sign in with Google or Microsoft.

SSO

Single sign-on with your identity provider.

—
—

SCIM provisioning

Sync users from your directory.

—
—

Session duration controls

Enforce logout policies.

—
—

Data residency controls

Choose US or EU hosting.

—
—

HIPAA compliance

Healthcare security standards.

—
—

Export controls

Restrict data exports.

—
—
Support
Free
Pro
Enterprise

Community support

Access to the Slack community.

Email, Slack, and Teams support

Direct access to the success team.

—

Onboarding

Guided implementation for your team.

—
—

Custom training programs

Tailored education programs for your team.

—
—

FAQ

Count combines an AI workspace with a BI tool. Like AI workspaces such as Dust or LangDock, it gives your team agent skills and MCP connections. Like BI tools such as Looker, Lightdash or Sigma, it has live reports, a semantic layer and native database connections. On top of both, it adds Python, real-time collaboration and hallucination detection, so one platform can replace your BI tool and your AI workspace.

Chatbots like Claude, ChatGPT and Gemini are built for one person asking one question. Count adds what analytical work needs on top: live reports, a semantic layer, native database connections, real-time collaboration and no usage caps. Above all, Count is built for answers you can trust. Every claim is traced to its source, assumption or inference, so hallucinations are caught before anyone acts on them.

In three ways. First, AI makes research and analysis dramatically faster, so your team can answer any question they have instead of waiting on an analyst. Second, Count's analytics engine runs computation efficiently, taking day-to-day queries off your warehouse so you pay less for compute. Third, Count cuts the errors and hallucinations that make other AI tools slow to trust. We estimate checking AI outputs costs the average knowledge worker $6–8k a year, a saving traditional chatbots can't offer. How Count's analytics engine works →

Pro and Enterprise include AI credits on a fair-use basis. Count matches every step to the right model, balancing cost and performance, so 98% of teams never need a top-up. If you do, top-ups are available with spend controls. Free workspaces have a daily AI credit limit. Enterprise can also choose its own models or bring its own AI API keys.

Owners, Admins and Editors are the seats you pay for: they build with SQL, Python, low-code and Count's AI agent. Viewers can explore and collaborate in canvases, and Report Viewers see the presentation layer only; both are free. Admins are available on Enterprise.

All major debit and credit cards are accepted. You can manage billing directly from your workspace settings.

Yes. You can add or remove seats at any time through your workspace settings. Changes are prorated automatically.

Count is SOC2, GDPR, and HIPAA certified with up-to-date security procedures. Your data is never used for training AI models.