Klaimed turns your reference catalog into a continuous detection feed. Stream your monitoring listings, or hand off the scraping. We match candidates, explains each match, and signal scoring ranks what matters — delivered as structured data your platform can act on.
Reference, ingest, process, deliver — everything between your catalog and your enforcement workflow runs on our infrastructure.
Send image URIs alongside the structured product data — names, models, brands, reference prices, registered trademarks. We co-design the visual with your team and index every reference as a queryable target.
Stream listings you already collect, or hand off ingestion to us. Either way the input is image URI plus metadata. We handle proxies, parsers, rate limits, CAPTCHAs, and dead-letter queues so your platform doesn't run scraper infrastructure.
Vision retrieves visually similar listings. Attribute reasoning grades every match against the reference. Behavioral signals — price drift, seller history, listing patterns — score the likelihood of counterfeit or grey-market activity.
Each match arrives as one signed JSON record — URL, surface, market, confidence, attribute reasoning, signal breakdown, evidence image. Detections flow through one GraphQL endpoint. Pull a batch when you're ready to run enforcement reviews, or stream live for instant alerts as new matches come in.
query Detections($ref: ID!) {
reference(id: $ref) {
id
clusters {
id
matches
similarity
counterfeit
trademark { name registered }
evidence
}
}
}