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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.
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Formula Bot
✓ verifiedFreemium
AI data analyst that turns plain-English questions and uploaded data into charts, spreadsheets, dashboards and reports.
2.1K saves
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Basedash
✓ verifiedFree trial
AI-native business intelligence on a governed semantic layer, generating trusted charts, dashboards and answers.
47K visits/mo1.4K saves
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Particl
✓ verifiedPaid
Retail competitor-intelligence platform tracking rivals' sales, pricing, promotions, and assortment down to SKU.
95K visits/mo884 saves
Pricing
Starter: $18/mo (250 messages/mo)
Max: $29/user/mo (unlimited messages)
Enterprise: $149/user/mo (15,000 AI Actions/user)
Startup: $1,000/mo (up to 25 users, plus AI usage)
Free trial available
Starter: $250/mo (3 months historical data, 1 user)
Essential: $500/mo (6 months historical data, 3 users)
Growth: $1000/mo (12 months historical data, 3 users)
Free trial available
Core features
- ✦Natural-language data querying
- ✦Auto-generated charts and dashboards
- ✦Spreadsheet and report generation
- ✦Formula, SQL and Python code generation
- ✦Text and sentiment analysis
- ✦Connectors for databases, Sheets and cloud storage
- ✦Scheduled/automated reporting
- ✦AI data analyst for trusted answers
- ✦Prompt-generated dashboards and reports
- ✦Governed semantic layer of reusable metrics
- ✦750+ data-source and warehouse connections
- ✦Automations, insights and MCP server
- ✦SOC 2 Type II, SSO and self-hosting
- ✦SKU-level competitor sales and inventory tracking
- ✦Pricing and promotions monitoring
- ✦Product and assortment analysis
- ✦Benchmarking and white-space identification
- ✦Natural-language querying via Claude/ChatGPT (MCP)
- ✦Sentiment and social channel monitoring
Use cases
- →Analyzing datasets without coding
- →Building dashboards for business teams
- →Generating spreadsheet formulas
- →Sentiment analysis of customer feedback
- →Converting PDFs and bank statements to Excel
- →Generating dashboards from a description
- →Asking natural-language questions of business data
- →Standardizing trusted metrics across teams
- →Embedding charts and self-hosting for compliance
- →Tracking competitors' best sellers and pricing
- →Identifying fast-growing products and brands
- →Spotting assortment overlap and white space
- →Monitoring competitor promotions in real time
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