Basic
$30/mo per user
$15/mo billed yearlysave 50%
- Users
- 1 user
- Data sources
- 1 (excl. databases)
- AI data analysis
- Unlimited messages
- Unlimited file uploads
- One data source
- Community support

AI data analyst that connects business data sources to answer questions, build dashboards, and generate reports.
Datapad is an AI data analyst platform for teams that need fast answers from their business data. It connects databases, marketing, sales, and social platforms, then lets users ask questions in plain language to get charts, dashboards, and reports. Features include Text2SQL and Python generation, data blending across sources, a Slack bot, voice mode, anomaly alerts, and over 50 AI workflows that turn data into campaigns and strategies. It suits marketing, operations, analytics, and research teams. The site lists a free sign-up and paid plans, with a demo available.
$30/mo per user
$15/mo billed yearlysave 50%
$50/mo per user
$25/mo billed yearlysave 50%
$1,000/mo per workspace
$500/mo billed yearlysave 50%
Customcontact sales
Prices in USD, as shown by datapad.io. Source: pricing page. Last checked October 30, 2026.
Copy the prompt below and paste it into the agent you already use. It has the plans and prices from this page and asks you the right questions first.
I want to decide whether Datapad (datapad.io) is the right tool and which plan to pick. Below is what the StableMRR pricing directory read from Datapad's own pricing page (last checked 2026-10-30). It can be out of date, so treat it as a starting point. Category: AI agents / AI search and research What it does: AI data analyst that connects business data sources to answer questions, build dashboards, and generate reports. Plans: - Basic: $30/mo per user ($15/mo billed yearly). Limits: Users 1 user, Data sources 1 (excl. databases). Includes: AI data analysis, Unlimited messages, Unlimited file uploads, One data source, Community support - Pro: $50/mo per user ($25/mo billed yearly). Limits: Data sources 10 (excl. databases). Includes: Unlimited messages, Unlimited file uploads, Unlimited dashboards, Ten data sources, Email support - Scale: $1,000/mo per workspace ($500/mo billed yearly). Limits: Data sources Unlimited incl. databases. Includes: Unlimited messages, Unlimited file uploads, Unlimited dashboards, Unlimited data sources, Priority support - Enterprise: Contact sales. Includes: Everything in Scale, Bring your own cloud, Dedicated support, Custom services, Advanced security and compliance Alternatives in the directory: AINave, Agent Idea Hub, AskYourDatabase, Askee Pricing page: https://datapad.io/pricing Directory listing: https://stablemrr.com/p/datapad-io First ask me three short questions about my team size, budget and what I need it for. Then recommend one plan, tell me what could make it a bad fit, and compare it with the alternatives. Finish with what I should check on the vendor's site before I pay.
No price changes recorded since we started tracking on October 30, 2026.
| Product | Category | Free plan | Paid from | Plans | Checked |
|---|---|---|---|---|---|
| AINaveDirectory and news site where AI builders discover new AI tools, launch their own products, and follow AI news and events. | AI search and research | Yes | - | 2 | Oct 29, 2026 |
| Agent Idea HubA ranked database of AI agent business ideas with build blueprints, tech stacks and monetization guides for builders. | AI search and research | No | - | 1 | Oct 29, 2026 |
| AskYourDatabaseChat with SQL databases in natural language to get SQL queries, answers, and charts. | AI search and research | No | $49/mo | 4 | Oct 29, 2026 |
| AskeeChrome extension that lets users chat with any web page, YouTube video, or document and get cited answers. | AI search and research | Yes | $6.99/mo | 2 | Oct 29, 2026 |
| BlazeSQLAI data analyst that connects to SQL databases to answer questions, generate queries, and build dashboards. | AI search and research | No | $400/mo | 3 | Oct 30, 2026 |
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How this page was made. Plans and prices are read automatically from datapad.io's public pricing page, checked against the page text, and re-checked about every week. Method. Something wrong? Tell us.