Best overall
MacBook Air M1 for $450 because the price is inside a fair range with strong long-term value.
MarketLens Local Scan
Scan visible marketplace listings and turn them into one private comparison report.
The user searches manually, loads listings manually, then chooses what Cliezi should analyze. Cliezi reads only product-level listing facts and avoids private account data.
Manual MarketLens demo
Test one marketplace listing before the extension exists.
Paste a title, price, condition, location, and platform. Cliezi gives a rough fair range, suggested offer, risk score, and safety checks.
Example report
MacBook Marketplace Scan
A search-level report that ranks good deals, risky listings, overpriced listings, retail comparisons, suggested offers, and flip potential.
ListingPriceFair RangeScoreVerdict
MacBook Air M1$450$400-$55088Good deal
MacBook Pro 2019$350$300-$45079Fair
MacBook Air 2020$300$280-$45082Check specs
MacBook Pro 2015$180$120-$25055Risky
Suggested offer
Offer $410-$425 first, then adjust based on battery health, condition, charger, and proof of ownership.
Safety checks
Meet safely, test the device, verify specs, avoid deposits, avoid shipping-only local deals, and check serial/status.
Clean collection rules
MarketLens is a shopping assistant, not a hidden scraper.
Collect only
Title, price, general location, listing URL, optional thumbnail, search query, date seen, platform, and general region.
Avoid always
Seller names, seller photos, private messages, Facebook identity, passwords, cookies, saved listings, and private account data.
User-controlled
No auto-scroll scraping. No background scraping. Only currently visible listings after the user clicks the Cliezi button.
Outcome loop
Ask if the user bought, negotiated, saw a price drop, or noticed the listing sold. This builds trusted local pricing data.