THE ANTI-SCRAPING SYSTEM THAT FIGHTS BACK

MAKE
SCRAPING
POINTLESS.

Your API is giving away your data. We turn automated extraction into a dead end with intelligent detection, synthetic decoys, and traceable evidence.
● DETECT THE SCRAPER● FEED THE DECOY● TRACE THE EXTRACTION● PROTECT THE REAL DATA
01 / THE DECEPTION ADVANTAGE

A 200 OK.
A worthless haul.

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.

↗Our MVP dashboard has recorded suspicious API requests receiving decoy responses. The example shown here is an illustrative reconstruction, not a live feed or independent penetration-test certification.
Visit the public demo ↗
BRANDPROTECTOR / INCIDENT VIEW● DECEPTION ACTIVE
80THREAT SCORE
4/4DECOY REPLIES
0VERIFIED REAL RECORDS*
01GET /api/citiesDECOY
02GET /api/treatmentsDECOY
03GET /api/doctors?page=1DECOY
04GET /api/doctors?page=2DECOY
*For the four requests in the referenced MVP example. Illustrative visualization; not a live metric.
02 / NOT ANOTHER BOT BLOCKER

Don't just stop them.
Outsmart them.

Built around the data itself — not just the page that displays it.

01 / ACTIVE DECEPTION

Give scrapers exactly what they don't want.

Controlled synthetic responses instead of your proprietary records.

02 / BEHAVIORAL SIGNALS

Find the patterns humans don't make.

Analyze request sequences, enumeration, velocity and other suspicious behavior.

03 / HONEYTOKENS

Make leaked data traceable.

Associate controlled decoy records with distinct extraction sessions.

04 / LIVE VISIBILITY

Watch the attempted theft unfold.

Inspect request histories, detection signals, decisions and responses.

05 / API-FIRST DESIGN

Protect the real extraction surface.

Focus defenses on the endpoints powering directories, catalogs and search.

06 / EVIDENCE

Turn incidents into answers.

Investigate suspicious sessions and preserve useful security evidence.

03 / UNDER THE HOOD

Four moves.
One protected API.

STEP 01

Connect

Deploy protection at supported API integration points.

STEP 02

Classify

Evaluate behavioral and request-level signals before deciding on a response.

STEP 03

Deceive

Route high-confidence abusive traffic to controlled synthetic records.

STEP 04

Investigate

Review incidents, trace markers and evidence in the dashboard.

THE SCRAPER THINKS IT WON.
THE DATA SAYS OTHERWISE. ↗
04 / BUILT FOR DATA-RICH BUSINESSES

If it's searchable,
it's scrapeable.

For teams whose competitive advantage lives inside an API.

✚ Find a provider⌖ Location finders▦ Product catalogs⌂ Property listings◇ Business directories↗ Inventory search◎ Specialty databases
05 / PRICING

Data protection.
Without the guesswork.

Start small. Scale protection as your API traffic grows.

Starter

For smaller directories and emerging platforms.

$149/mo
  • 250K protected requests / month
  • 2 API endpoints
  • Basic detection rules
  • Security dashboard
  • Email support
Request access ↗

Business

For growing security and engineering teams.

$1,299/mo
  • 10M protected requests / month
  • 50 API endpoints
  • Advanced policy controls
  • Evidence exports
  • Extended retention
  • Priority support
Talk to sales ↗

Enterprise

For custom environments and security requirements.

Custom
  • Custom request volume
  • Custom endpoint coverage
  • Security architecture review
  • Custom retention
  • Deployment assistance
  • Contracted support terms
Contact sales ↗

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.

06 / FAQ

Good questions.
Straight answers.

Is this a replacement for our WAF?

Not necessarily. BrandProtector Pro focuses on abusive extraction from data-serving APIs and can complement existing network and application defenses.

Can you guarantee nobody will ever scrape our data?

No. No anti-scraping product can guarantee that. The goal is to increase extraction cost, reduce genuine data exposure and improve visibility.

Could legitimate users receive fake data?

False positives are a critical risk. Production deployment should include conservative deception thresholds, allowlists, monitoring and tested fallbacks.

Does a honeytoken prove who stole the data?

It can link a copied dataset to a distribution or extraction event, but it does not by itself identify the responsible person or organization.

YOUR DATA IS NOT FREE INVENTORY

LET THEM
SCRAPE FICTION.

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.