Data Accuracy

A Wiki is not
an engine.

AbuseIPDB relies on unverified, crowdsourced reports from angry users. CandycornDB relies on real-time algorithmic scoring. Don't ban customers just because they play Minecraft.

No credit card required β€’ 1,000 free requests/mo

Crowdsourced Noise

User_99 Reported
"DDoS attack from this IP!!"
Admin_X Reported
"Spam bot detected."
Anon Reported
"This guy beat me in CS:GO."

Verified Signal

CandycornDB Analysis Live
Score: 12
βœ… Low Risk
ISP Type: Residential
Tor/VPN: False
Subnet Risk: Clean

Why developers switch

Crowdsourced lists are reactive. Algorithmic scoring is proactive.

Feature CandycornDB AbuseIPDB
Data Source Proprietary Algorithm Crowdsourced Reports
False Positives Low (Verified) High (Unverified)
Subnet Analysis βœ… Included Limited
API Speed < 50ms Variable
DATA INTEGRITY
🚫

No Angry Gamers

We filter out "revenge reports." Just because someone lost a game doesn't mean their opponent's IP is malicious.

Crowdsourced data
is messy.

AbuseIPDB is great for research, but dangerous for automated blocking. A single angry user can report a clean IP, causing you to block a legitimate customer.

The Proactive Approach

We scan the network infrastructure itself. If an IP is hosting a VPN or Tor node, we know it because we tested itβ€”not because someone complained about it.

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Join developers who chose signal over noise.

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