Datapad is an AI data analyst that answers questions in plain English and builds dashboards and reports. Plans start at $15/month. See features and pricing.
Researched and fact-checked by Bartu Cavusoglu · Updated October 26, 2026
Datapad is an AI data analyst delivered as a web application. Its site describes it as a 100% autonomous analyst that lets business users ask questions about their data in plain English and receive answers with charts and visualizations, instead of waiting for a report from an analyst or IT team.
The product goes further than question answering. It builds dashboards, blends data from several sources, and runs workflows that turn connected data into deliverables such as ad campaign recommendations, SEO strategies, email sequences and sales scripts. Datapad positions this as replacing much of a small team's data stack.
Datapad describes a three-step process. First, users connect sources such as Google Ads, Google Analytics, a CRM, social platforms, spreadsheets or databases. Second, they run one of 50+ prebuilt workflows or simply ask a question in chat. Third, the platform returns results such as analysis, dashboards or ready-to-use content.
Behind the chat interface, the AI assistant writes SQL queries, executes Python code, blends data and builds visualizations. The company says it uses several AI models, including Claude and ChatGPT, and a learning layer that remembers workspace context, preferred metrics and team terminology so answers become more tailored over time.
The core feature is the AI Data Agent, supported by Text2SQL and Python generation for turning natural language into queries and code. Data blending combines sources for cross-platform analysis, and automatic dashboards cover KPI tracking with benchmarking alerts. Reports and dashboards can be shared with stakeholders.
Collaboration and automation tools include a Slack bot for insights and alerts, a voice mode, and scheduled report generation with anomaly alerts. Web access brings in real-time market data. Data cleaning for Excel files handles normalizing fields, removing duplicates and detecting outliers before analysis. The Slack bot, workflow automation and auto-learning agent appear on the Scale tier.
Datapad is an AI data analyst that connects to business data sources and answers questions in plain English. It generates charts, dashboards, reports and workflow-based deliverables such as campaign and SEO recommendations.
Datapad lists Basic at $15 (with $30 struck through), Pro at $25 per user per month (with $50 struck through) and Scale at $500 per workspace per month (with $1000 struck through). Enterprise pricing is custom. The site says annual billing saves up to 20%.
The plan cards show a Start Free button, and the pricing FAQ describes a Free plan with 1 user, 5 daily chat messages and 1 saved report. Plan details on the site are not fully consistent, so confirm current terms before signing up.
Datapad connects to 50+ sources, including Google Ads, Google Analytics, Facebook Ads, LinkedIn Ads, TikTok Ads, Shopify, Stripe, HubSpot, Salesforce, Mixpanel, Google Sheets, Excel and CSV files. It also supports SQL databases, BigQuery and Snowflake, and a Slack bot.
No. Datapad says users simply ask questions as they would of a human analyst, while the AI handles SQL queries, Python code and data processing. Users can still work with the resulting charts and reports.
Datapad states that data is encrypted in transit and at rest, that it is never shared with third parties, and that it holds SOC 2 and GDPR compliance. The Enterprise plan adds advanced security and compliance options and bring-your-own-cloud.
It suits marketers, agencies, startup founders and small teams that want data answers and marketing deliverables without a dedicated data team. Enterprises can use the custom plan with dedicated support.
Yes. Datapad supports data blending across databases, marketing platforms, social media and CRMs so users can analyze them together in one place. The number of sources depends on the plan.