Catch Listing Errors
Detect incorrect features, wrong categories, and inconsistencies in any listings.
Try the Demo
Detect incorrect features, wrong categories, and inconsistencies in any listings.
Try the Demo
Listings contain at least one error
Listings are missing or have wrong features
Listings are in wrong category
* based on internal testing of Portuguese and Ukrainian listing boards
Available features (coma separated):
Features (up to 10):
Description (up to 7,000 symbols):
Output
Automatically detect incorrect or fake listings before they go live on your real estate, car, or job marketplace.
Plug into your existing scraper to flag missing fields, wrong categories, or mismatched features.
Analyze existing listings to find patterns of inconsistency and clean up your content database automatically.
Help agents or HR managers avoid costly mistakes when posting listings on behalf of clients.
Scan bulk CSV or XML listing uploads and return structured error reports before they’re published.
Use the tool to pre-clean listing data before feeding it into models for search, recommendation, or NLP training.
Subscribe to be first one to know about the launch!
Works with multilingual listings out of the box. Tested with English, Spanish, Portuguese, Ukrainian.
Compatible with real estate, job offers, cars, products and any other structured content with descriptions.
Response times under 1 second for most listings. Suitable for real-time moderation pipelines.
RESTful API makes it easy to plug into existing UIs or backend systems.
Understands listing semantics, not just keyword matching. Detects contradictions, mismatches, and bad categories.
Tuned to flag true inconsistencies while minimizing unnecessary alerts. Customizable threshold per use case.
Built to handle messy, multilingual, or incomplete listings, not just ideal data.
Validated on real-world content for better accuracy and fewer false alerts.
We manage prompt tuning, model quirks, and backend stability so you don’t have to.
Get visibility into errors, usage, and listing trends without building admin tools.
Feel free to contact me: dmytrobezrodny@gmail.com
Is This a Real Problem? Yes! Listing quality issues are well-documented:
Investigative report on misleading property listings and lack of enforcement, showing systemic data quality issues even on large portals.
Analysis showing formatting issues, inconsistent addresses, and missing key features across real estate listing data scraped from public platforms.
Paper examining duplicate and inconsistent listings in online housing markets, highlighting impact on price models and user search efficiency.
Lists common problems in real estate data including duplicates, missing features, and classification errors.
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