One engine.
A growing family of data tools built for e-commerce
We're building a unified data-collection and matching layer, starting with ParseLens™, a public web data extraction engine for data-heavy teams, and PriceEyes™, a competitor price monitor powered by it. Built for retail and commercial teams tired of data blind spots
Built for e-commerce teams scaling their margins.
Two products, one shared core
ParseLens™ and PriceEyes™ are built on the same data engine, but each one is its own product - with a separate site, release plan, and user audience. Here's the short version of what each one is for.
PriceEyes™
In developmentCompetitor price monitoring.
PriceEyes is being built on top of ParseLens. Once live, it will monitor competitor stores,, match products to your catalog, and alert you via Telegram or email the moment a price moves - typically within the hour.
- 2-3 checks per SKU, every day
- Automatic catalog matching by URL, EAN, or product name
- Timestamped screenshot evidence on every detected change
ParseLens™
In developmentStructured data from any public site.
Turn any public site into reliable, structured data. ParseLens abstracts away the complexity: robust infrastructure, adaptive aggregation, and clean extraction. You set the rules; we deliver the data to your preferred destination.
- Self-maintaining data extractors that adapt when a site's markup changes
- Resilient access to any public site
- Structured output over API, webhook, or export
One core does the hard part, so each product can stay small and sharp
ParseLens™ and PriceEyes™ don’t run separate collection stacks. They share the same engine - a set of microservices connected over a message bus - so every improvement lands in both products at once.
Collect
Resilient routing and real-browser rendering pull pages from any storefront, JS-heavy or not.
Extract & match
Adaptive extractors structure the data; ML-assisted matching links it to your catalog.
Queue
Every event moves through a message bus, so products consume the same data at their own pace.
Deliver
Each product turns the same stream into what its users need: a clean feed, or a price alert.
Built for the teams that need actionable data without unnecessary complexity
Most data-collection and monitoring platforms are priced and packaged for teams with a dedicated data budget and a procurement department. We built Argumeta for e-commerce teams that need reliable data without the enterprise baggage.
No minimum seats
You can start with one product, a few hundred SKUs, and no procurement conversation. Growth unlocks more, it isn't a precondition to start.
Self-healing infrastructure
One engineering team maintains the collection layer for every product. A broken extractor gets fixed once, not once per customer complaint.
Evidence, not just numbers
Every data point that feeds a pricing or purchasing decision arrives with a timestamped record of where it came from. Inherited by every product.
Independence that shares
Each product has its own account, its own roadmap, and its own audience. But underneath, they share the same data engine.
Enterprise-grade data, without the enterprise contract
We treat every account like it answers to legal and security review - so your compliance team can sign off instead of slowing you down.
Built for the driven and dynamic
Argumeta is an independent product brand dedicated to empowering businesses with smart, easy-to-use software tools that unlock valuable data from the open web. Our current focus: a competitor price monitoring platform and a powerful structured data extraction engine for any storefront.
We're a small team building practical tools for e-commerce shops. If you run a nimble online store and want straightforward, actionable insights without the complexity, we'd love to invite you to join our early adopter community.
Be the first to test what we're building
Join the beta and get early access to ParseLens™ and PriceEyes™ as each one is ready. You'll be among the first to try the products - and your feedback shapes what ships.
No spam. Just early access when it opens.