New May 2026

Deeper Amazon insights. Better slices. Credits you can redeem.

May expands Amazon marketplace intelligence in DataLab, makes slices more dependable across products and MCP, and opens easier paths to try and top up.

Richer Amazon marketplace data

Ask about keywords, sales estimates, share of voice, historical search volume, and product database coverage— all in the same chat where you already analyze Amazon markets. More signals, same DataLab workflow.

  • Keywords & search volume Research demand trends without hopping tools.
  • Sales & share of voice Size opportunities and competitive presence faster.
Explore Amazon data

Slices that work across products—and MCP

Data slices are available on internal and public products, with a slice-scoped MCP server and more reliable connections. Creating and editing slices is more trustworthy, and explore/query behavior treats slices like the products you already know.

  • Edit filters that stick Slice filter updates apply the way you expect.
  • Mentions stay accurate Copying a slice mention keeps the slice—not the parent product.
Create or connect a slice

Redeem credits and connect more MCP clients

Redeem credit codes right in DataLab when you have a grant or promo. MCP connections expand for more clients, with better rate limiting and fewer shared-IP collisions—so collaborative teams don’t block each other.

Open DataLab

Clearer Amazon tools and report customization

Amazon tools are renamed and consolidated so the menu is easier to scan. HTML reports accept more customization from your prompt, and buy-box winner history helps you track who held the box over time.

Customize a report

Signup without the work-email gate

New accounts no longer need a work email to get started—so it’s easier to try DataLab. Navigation labels are clearer too, with Data & Tools renamed to Reports & Data.

Get started free

Also improved this month

Smaller changes that make DataLab feel better day to day.

  • Skills dropdown no longer gets cut off in active threads.
  • Planning can assemble a plan from skill instructions more reliably.
  • Skills continue after follow-up questions instead of stalling.
  • MCP connection errors and billing gaps are reduced.
  • Agent cold starts are more resilient.

Ready to try it?

Open DataLab and put May’s updates to work—explore Amazon marketplace data, build a slice, or redeem a credit code.

Open DataLab