Pricing
Pricing scales by products monitored, scrape frequency, and setup support, not by how many competitor URLs you manage. AI matching and Google-based competitor discovery are built in. Start with one product, then expand once coverage is proven.
Start with one free product check. Create a workspace when you are ready to monitor more products.
Plans
Plans include daily monitoring in one market with about 10 competitor offers per product.
Recommended
Lightweight price visibility for a focused product set.
15-day free trial
Product limit
Up to 75 products
Offer coverage
About 10 competitor offers per product
Recurring monitoring for growing catalogs.
Product limit
Up to 500 products
Offer coverage
About 10 competitor offers per product
More frequent monitoring with advanced comparison controls.
Product limit
Up to 1,000 products
Offer coverage
About 10 competitor offers per product
High-frequency monitoring with priority support and custom comparison controls.
Product limit
Up to 2,000 products
Offer coverage
About 10 competitor offers per product
Custom product volume, offer coverage, and reliability expectations for large programs.
Product limit
Custom product volume
Offer coverage
Custom offer coverage
Product limits assume daily monitoring in one market with about 10 competitor offers per product. More markets, deeper offer coverage, faster refresh, or complex products may reduce the effective number of products included. We confirm the adjusted count before monitoring starts.
For teams validating that Comptrace can match their products and surface useful competitor-price evidence before committing the full catalog. Supported public URLs preview almost instantly; harder products are stored and followed up within minutes.
For active catalogs that need recurring scrapes, stable matching coverage, and pricing-policy inputs. Coverage gaps show as dated exceptions with status states instead of being hidden, so the evidence you act on is honest.
For large catalogs, brands monitoring retailers, and agencies running multiple stores that need onboarding support, reliability reporting, and consistent pricing evidence across teams.
Keep reading
Move between practical guides for matching, scraping, freshness, and pricing decisions.
Build an ecommerce pricing policy that turns matched competitor price evidence, freshness, and margin rules into controlled, auditable price changes.
Price monitoring vs repricing: monitoring gathers competitor price evidence; repricing decides. See how rank, gap, and trend connect the two safely.
Turn verified competitor price evidence into controlled pricing decisions with source URLs, timestamps, and clear review steps.
Brand price monitoring across retailers: track who sells your products, spot price changes, and review match evidence with scraped-at timestamps.
Run competitor price monitoring across every client store from one workspace. AI matching finds rivals automatically, with no manual URL lists to maintain.
Monitor large catalog prices at scale: import thousands of SKUs, auto-match competitors, and surface stale or weak rows as exceptions with timestamps.
Practical competitor price monitoring guides: AI product matching, Google Shopping discovery, scraped-at evidence, price gaps, and pricing-policy actions.
Your workspace is logically isolated. No catalog field, imported price, or scraped result ever feeds into another account.
AI uses product text, identifiers, imagery, retailer pages, and Google-discovered data to decide whether offers are comparable.
Price rank, average gap, trend direction, and scraped-at timestamps tell teams what changed and whether the data is fresh.
Run a free competitor price check in minutes, then create a workspace to track it continuously.