clariBI
Ask one question, get unified answers from every tool. No SQL needed.
clariBI delivers on its promise of cross-tool natural-language querying without SQL. It's a solid choice for non-technical teams, though power users may find limits in customization and complex transformations. The MCP server and 600+ templates are standout features, but heavy AI usage may require credit top-ups on lower tiers.
- Marketing managers needing cross-channel performance insights
- Startup founders unifying metrics from multiple tools
- Product managers tracking feature adoption and user behavior
- Finance analysts querying revenue data without SQL
- Data scientists needing full control over ML pipelines
- Teams with heavy ETL requirements and complex transformations
- Users who prefer custom dashboard building over AI-generated layouts
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Skip clariBI if you need real-time streaming analytics, on-premise data residency, or full control over ML pipelines.
Going past 500 AI credits on Starter adds $9.94 per 50-credit pack, which adds up if you ask many complex questions.
clariBI's pricing is transparent and competitive for small to mid-size teams, starting at $99/month for up to 5 users and 10 data sources. Compared to Tableau or Looker, clariBI is far cheaper and requires no data team. However, for very light usage, Metabase or Google Looker Studio are free alternatives. The Professional tier at $199/month (up to 20 users, unlimited data sources) offers good value for growing startups.
In short
clariBI — Ask one question, get unified answers from every tool. No SQL needed. Best for Marketing managers needing cross-channel performance insights, Startup founders unifying metrics from multiple tools, Product managers tracking feature adoption and user behavior. Free to start; paid plans from $14/mo.
What's new in clariBI
Checked 14 days agoAcross the latest 2 updates: 1 feature update and 1 launch.
clariBI Forecasting: Project Any Metric Ahead, And Find What's Driving It
Forecasting feature live — project metrics, auto-detect drivers, no LLM calls.
clariBI Now Runs as an MCP Server: Sign Up, Upload Data, and Run Analyses From Claude Desktop or Cursor
MCP server launched — connect clariBI to Claude, Cursor, ChatGPT for natural-language analytics.
Viability Score
How likely is clariBI to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Key Features
- Conversational analytics – ask data questions in plain English
- AI-powered dashboards – automatically generated and updated
- Forecasting with driver discovery (30-day projections, 9 methods)
- Anomaly and changepoint detection on any KPI
- Template marketplace with 600+ industry-specific templates
- One-click integrations with 90+ tools and databases (175+ via MCP)
- Real-time collaboration with comments, mentions, shared workspaces
- Public dashboard sharing via secure links
- Goals & OKRs that auto-update from data
- Granular RBAC (5 roles, 35+ permissions, custom roles)
- REST API for custom integrations (Professional and above)
- MCP Server for use from Claude, Cursor, ChatGPT (Trial and paid plans)
- Automated daily dashboards and insights
- Audit & security (MFA, SSO, audit trail, session controls)
- Scheduled PDF reports with AI-generated summaries
About clariBI
clariBI is a natural-language business intelligence platform that connects 90+ tools instantly, letting users ask questions in plain English and get unified answers and visualizations without SQL or a data team. It aggregates data from sources like Stripe, HubSpot, Shopify, and Google Analytics, enabling cross-tool queries such as 'How much revenue did we lose from churned Stripe customers who never opened a HubSpot email?' The platform is designed for teams lacking dedicated data engineers but needing fast, data-driven decisions. Key capabilities include conversational analytics, AI-powered dashboards, forecasting with driver discovery, anomaly detection, and a template marketplace with 600+ industry-specific templates. clariBI also offers granular RBAC, real-time collaboration, public sharing, and an MCP server for integration with LLM clients like Claude, Cursor, and ChatGPT. It positions itself as an alternative to traditional BI tools and multi-dashboard solutions, emphasizing one-click integrations and a transparent pricing model with a free forever tier and paid plans starting at $99/month.
Behind the Verdict
clariBI fills a real gap for teams drowning in dashboard overload. If you're a marketing manager or startup founder who spends more time stitching together reports than acting on them, this tool can save hours. The plain-English querying is genuinely impressive—typing 'What's our real cost to acquire a customer?' and getting a single answer from ad spend, Stripe, and CRM data is a clear win. We'd reach for this when we need cross-channel visibility fast and don't have a data team to build custom pipelines. That said, data scientists will chafe: there's no ML pipeline control, and complex ETL isn't the focus. The AI credit system (500 credits on Starter) can feel restrictive if you're asking many multi-step questions daily—top-ups cost extra. Compared to something like Metabase or Looker, clariBI trades depth for speed and accessibility. Its MCP server is a clever differentiator for power users of Claude Desktop or Cursor, letting you run analyses from those chat interfaces. One caveat: while the integration list is long (175+), many are MCP or OAuth-based, meaning you rely on clariBI's catalog maintaining those connections. For on-premise data or strict data residency, this isn't the tool. Bottom line: great for operational analytics, less so for deep technical work.
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Real-world workflow fit
Concrete scenarios for the personas clariBI actually fits — and what changes day-one when you adopt it.
Connect Google Ads, Meta Ads, and HubSpot with one click each.
Outcome: Ask 'What was our ROAS last month by channel?' and get a unified dashboard in seconds.
Connect Stripe and HubSpot via OAuth.
Outcome: Query 'How much MRR did we lose from churned customers who never opened a HubSpot email?' and see a chart without writing SQL.
Use Cases
- Unify e-commerce revenue from Shopify, Stripe, and Google Ads to measure true ROAS.
- Track MRR, churn, and expansion by joining Stripe and HubSpot without SQL.
- Monitor campaign performance by querying Meta Ads and Google Ads in one dashboard.
- Forecast next month’s sales and identify the key drivers behind changes.
- Automate daily OKR updates by connecting Asana, Jira, and Salesforce.
- Allow customer success teams to ask 'Which churned customers never opened an email?' in plain language.
Limitations
- clariBI uses AI credits which may limit heavy usage on free and lower-tier plans.
- Forecasting is limited to 30-day projections and nine deterministic methods.
- Advanced data transformations require SQL or the API.
- Some integrations (e.g., live via MCP) may have additional rates or latency.
- File uploads for PDFs, images, and audio rely on AI processing and may not support all formats.
as of 2026-07-03
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published clariBI tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0/mo
Ideal for
Solo users who want auto-generated dashboards from their data without AI analysis.
What this tier adds
Free tier: auto-generated dashboards only, no AI credits or conversational queries. No credit card required.
Trial
Free for 14 days
Ideal for
New users evaluating clariBI with full AI analysis for 14 days before committing.
What this tier adds
14-day free trial with full AI analysis on top of dashboards. Drops to Free when trial ends; data is retained.
Starter
From $99/mo
Ideal for
Small teams (up to 5 users) needing regular AI-powered analytics with up to 10 data sources.
What this tier adds
Starter adds 500 AI credits/month, up to 5 users, up to 10 data sources, MCP server access, and email support.
Professional
From $199/mo
Ideal for
Growing teams (up to 20 users) who need unlimited data sources and REST API access.
What this tier adds
Professional doubles AI credits to 2000/month, up to 20 users, unlimited data sources, REST API, and priority support.
Enterprise
Custom
Ideal for
Large organizations requiring custom AI credits, unlimited users, SSO, and dedicated support.
What this tier adds
Enterprise offers custom AI credits, unlimited users, SSO/audit trail, dedicated account manager, and custom integrations.
Where the pricing makes sense
The company stage and team size where clariBI's pricing actually pencils out — and where peers do it cheaper.
clariBI's pricing is transparent and competitive for small to mid-size teams, starting at $99/month for up to 5 users and 10 data sources. Compared to Tableau or Looker, clariBI is far cheaper and requires no data team. However, for very light usage, Metabase or Google Looker Studio are free alternatives. The Professional tier at $199/month (up to 20 users, unlimited data sources) offers good value for growing startups.
Setup time & first value
How long it actually takes to get something useful out of clariBI — broken out by persona, not the marketing-page minute.
For an individual user with OAuth-accessible tools (Stripe, HubSpot, Google Analytics), you can connect your first data source and ask a question in under 5 minutes. Team setup (inviting users, configuring RBAC, setting up MCP server) takes about 30 minutes. Complex database connections (PostgreSQL, Snowflake) may require a few hours depending on network permissions.
Switching to or from clariBI
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Google Data Studio: export your data sources and re-connect them via clariBI's OAuth or native connectors. Dashboards can be recreated quickly using templates.
- →From Metabase: connect your database directly (PostgreSQL, MySQL) and rebuild dashboards using AI-powered templates. No SQL export needed.
- ↗To Metabase: export your dashboards and reports via REST API or CSV, then import into Metabase's native SQL interface.
- ↗To Tableau: use the REST API to export data and dashboards, then rebuild in Tableau Desktop with custom SQL.
Integrations
Resources & Guides
Official links
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