Starter
For smaller directories and emerging platforms.
- 250K protected requests / month
- 2 API endpoints
- Basic detection rules
- Security dashboard
- Email support
Blocking tells attackers they've been caught. Controlled deception can let suspicious clients believe they're succeeding — while your real records stay out of reach.
Built around the data itself — not just the page that displays it.
Controlled synthetic responses instead of your proprietary records.
Analyze request sequences, enumeration, velocity and other suspicious behavior.
Associate controlled decoy records with distinct extraction sessions.
Inspect request histories, detection signals, decisions and responses.
Focus defenses on the endpoints powering directories, catalogs and search.
Investigate suspicious sessions and preserve useful security evidence.
Deploy protection at supported API integration points.
Evaluate behavioral and request-level signals before deciding on a response.
Route high-confidence abusive traffic to controlled synthetic records.
Review incidents, trace markers and evidence in the dashboard.
For teams whose competitive advantage lives inside an API.
Start small. Scale protection as your API traffic grows.
For smaller directories and emerging platforms.
For high-value datasets with active scraping risk.
For growing security and engineering teams.
For custom environments and security requirements.
PROPOSED PRICING ONLY — NOT AN ACTIVE CHECKOUT. Annual figures are monthly equivalents billed annually. All quotas, features and deployment promises must be validated against the production MVP before publication.
Not necessarily. BrandProtector Pro focuses on abusive extraction from data-serving APIs and can complement existing network and application defenses.
No. No anti-scraping product can guarantee that. The goal is to increase extraction cost, reduce genuine data exposure and improve visibility.
False positives are a critical risk. Production deployment should include conservative deception thresholds, allowlists, monitoring and tested fallbacks.
It can link a copied dataset to a distribution or extraction event, but it does not by itself identify the responsible person or organization.
Show your team what happens when an automated extractor meets active API deception. Tell us about your data and we'll get back to you.