Free web
Free source (opens in a new tab)
Month
Page shows EUR 0.
For: Trying Lasso
Limits
- 200 credits/month
Includes
- Data import and enrichment
- Product data editor
2 more
- Web enrichment with audit trail
- SEO copy and image enhancement
Productivity & writingDocumented overviewLast checked Oct 2, 2026
Prague-based company building Lasso, an AI-agent product information management (PIM) platform for ecommerce teams.
Our take: Bandits is the Prague company behind Lasso, an AI-agent product information platform for ecommerce teams that need to enrich and translate large catalogs.
Main limitation: The assigned URL is a company page and Lasso prices are shown only in EUR, so no USD plan price is verified.
Bandits is the Prague company behind Lasso, an AI-agent product information platform for ecommerce teams that need to enrich and translate large catalogs. Based on the vendor's documentation, not on a hands-on test.
Also a good fit for
Or if
Prices checked Oct 2, 2026 on the official US pricing page. Official pricing ↗ Prices and limits change often.
Free plan with 200 credits per month, no credit card required.
No separate trial; Free plan is the entry.
Free source (opens in a new tab)
Month
Page shows EUR 0.
For: Trying Lasso
Limits
Includes
See official pricing source (opens in a new tab)
Month, annual commitment
Page shows EUR 69 per user/month billed annually; USD price not shown.
For: Growing catalogs
Limits
Includes
Custom pricing source (opens in a new tab)
Custom
For: Large enterprises
Includes
Credit packs: +5,000 credits EUR 70, +10,000 EUR 120, +25,000 EUR 180 (billed annually per page); 50,000+ custom.
Not stated.
The assigned URL is the company site of Bandits, which describes itself as building next-generation product experience management (PXM) for commerce teams. Its homepage points to a separate product, Lasso, rather than presenting a standalone tool. Lasso (productlasso.com) is described as a PIM that runs AI agents across a product catalog to enrich and structure product data. No pricing was found on the pages loaded, so the record is left unverified.

You provide
You get back
Scenarios are worked out by our editors from the documentation; the actual result depends on your input and plan.

Runs parallel AI agents that fill and fix product attributes in bulk, with web enrichment and an audit trail. Cuts manual data entry.
Imports CSV, Excel, XML and PDF files and structures the data into a product editor with templates. Speeds supplier onboarding.
Lets you define automations over catalog data. Reduces repeated manual steps.
Translates catalogs using a glossary. Keeps terminology consistent.
Export: CSV, API
Bandits has no public API in its official documentation. API and SDK announced as beta on the company site.
Summarized from the vendor's current policies; this is not legal advice and a vendor's badge is not an independent audit.
Product data you import is processed by AI agents.
Compliance and security audits on Enterprise.
"Better suited" is based on documented features and pricing, not on a head-to-head test.
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Free gives 200 credits per month, data import and enrichment, a product editor, web enrichment with an audit trail and SEO copy generation. source (opens in a new tab)
Importing a file costs 5 credits, a PDF page 3, a single-cell enrichment 2, and an AI-generated image 15; row enrichment costs 0.5 per column. source (opens in a new tab)
The page shows EUR 69 per user per month billed annually with 5,000 credits; a USD price is not shown. source (opens in a new tab)
Lasso is built by Bandits, a Prague-based company, per the company site. source (opens in a new tab)
Not verified: USD prices; Privacy policy; Training use; Retention; Docs.
Every fact about Bandits above comes from the 3 official pages listed here, last compared on Oct 2, 2026; we have not run Bandits ourselves, so it has no editorial score. How we check and re-check pages.
Article updated Oct 10, 2026; prices checked Oct 2, 2026. Outbound links to vendors are plain links; we do not earn commissions. How we review · Report an error
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