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DataDoe vs WBX Sandbox

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

DataDoe compared with WBX Sandbox
DetailDataDoe logo DataDoe WBX Sandbox
What it doesAmazon data and action layer for any AI Secure execution for AI agents in isolated Firecracker microVMs or WebAssembly
StageStartup Not given
Founded2025 Not given
Based inUS CZ
Pricing modelFree trial Not given
Pricing$97 per month after a 14-day free trial. Includes 2,000 AI tokens per month (4,000 for the first 3 months), 10,000,000 data rows, one seat, unlimited Seller Central, Vendor Central and Amazon Ads connections, MCP, REST API, BigQuery access, and write-back Actions. Add-ons: +$49 per 10M data rows, +$ Free plan: no card required, 5 concurrent sandboxes, up to 1 hour per sandbox, one-time welcome credit. Pro: $49.00/month (excl. VAT) with $25.00 usage credit, 25 concurrent sandboxes, up to 24 hours per sandbox, 100 vCPU/100 GB RAM total. Team: $119.00/month (excl. VAT) with $50.00 usage credit, 10
Key features
  • MCP and REST API access to 130+ Amazon tables
  • Connect to any AI including Claude, ChatGPT, Gemini, Cursor
  • Write-back Actions to update listings, prices, bids and orders
  • BigQuery integration for custom queries and BI tools
  • Unified data from Seller Central, Vendor Central and Amazon Ads
  • About two years of historical data backfilled
  • Amazon-approved for buyer PII handling
  • Isolated Firecracker microVMs with own kernel and filesystem
  • Background jobs that survive disconnects
  • Batch execution with up to 1,000 jobs and dependency passing
  • WebAssembly jobs starting in milliseconds without VM boot
  • Budget Guard with cost reserves and limits
  • Execution receipts with runtime, isolation, resources and file hashes
  • Native MCP server integration for ChatGPT and Claude
  • Compact log digests instead of full 5,000-line logs
  • Server-side job waiting with signed webhooks
  • Verified package cache for PyPI, npm, Go and Rust
What makes it different
  • Single normalized schema joining Seller, Vendor and Ads data
  • Retains data history longer than Amazon's API windows
  • Lower AI token consumption than Amazon's own MCP
  • Writes off by default with optional dry-run preview
  • No per-account billing for unlimited Seller, Vendor and Ads connections
  • Two runtimes with honest isolation labeling
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)23 +1 (up) since last check2 no change since last check
Trust Flow (Majestic)160
Citation Flow (Majestic)380
Referring domains (Majestic)1240

5 details filled in for both companies.

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