by
doltics
0 (0 reviews)
Doltics Radar
Protects selected WordPress email, comment, and registration flows with a spam protection API.
Doltics Radar ranks #64,470 among WordPress.org plugins with 0+ active installations, is #2,665 of 3,397 in the Communication category, and was last updated Jun 3, 2026. Data from WordPress.org, refreshed twice daily — see methodology.
Tested up to WP 7.0.6 (Current: 7.1.2)
v1.0.0
Current Version v1.0.0
Updated 3 months ago
Last Update on 03 Jun, 2026
Refreshed 8 hours ago
Last Refreshed on
#2,665 of 3,397 in Communication
Rank
#64,470
—
No change
Active Installs
0+
-100%
KW Avg Position
N/A
—
No change
Downloads
193
+1 today
Support Resolved
0%
—
No change
Rating
0%
Review 0 out of 5
0
(0 reviews)
Next Milestone 10
0+
10+
44,730
Ranks to Climb
-
Growth Needed
8,000,000
Active Installs
Pro
Unlock Exact Install Count
See the precise estimated active installs for this plugin, calculated from real-time ranking data.
- Exact install estimates within tiers
- Track install growth over time
- Milestone progress predictions
Need 10 more installs to reach 10+
Rank Changes
Current
#64,470
Change
Best
#
Downloads Growth
Downloads
Growth
Peak
Upgrade to Pro
Unlock 30-day, 90-day, and yearly download history charts with a Pro subscription.
Upgrade NowReviews & Ratings
0.0
0 reviews
Overall
0%
5
0
(0%)
4
0
(0%)
3
0
(0%)
2
0
(0%)
1
0
(0%)
Track This Plugin
Get detailed analytics, keyword tracking, and position alerts delivered to your inbox.
Start Tracking FreePlugin Details
- Version
- 1.0.0
- Last Updated
- Jun 03, 2026
- Requires WP
- 5.7+
- Tested Up To
- 7.0.6
- PHP Version
- 7.4 or higher
- Author
- doltics
Support & Rating
- Rating
- ☆ ☆ ☆ ☆ ☆ 0
- Reviews
- 0
- Support Threads
- 0
- Resolved
- 0%
Keywords
Upgrade to Pro
Unlock keyword rankings, search positions, and detailed analytics with a Pro subscription.
Upgrade NowSimilar Plugins
Adminify – White Label, Admin Menu Editor, Login Customizer
6K+ installs
#2,760
Master Addons for Elementor – Elementor Addons, Widgets, Mega Menu Builder, Popup Builder, Widget Builder & Template Kits
30K+ installs
#1,009
Contact Form 7
10M+ installs
#3
WP Mail SMTP by WPForms - The Most Popular SMTP and Email Log Plugin
4M+ installs
#12
MC4WP: Mailchimp for WordPress
1M+ installs
#34
Hostinger Reach – AI-Powered Email Marketing for WordPress
1M+ installs
#44
Popup Builder & Popup Maker for WordPress – OptinMonster Email Marketing and Lead Generation
1M+ installs
#52
Flamingo
800K+ installs
#80
Joinchat – Enhanced "click to chat"
700K+ installs
#88
FluentSMTP – WP Mail SMTP Plugin with Amazon SES, SendGrid, Mailgun, Postmark, Cloudflare, toSend, Gmail and Any SMTP
600K+ installs
#92
Frequently Asked Questions
Common questions about Doltics Radar
Traditional filters rely heavily on static keyword blocking, which spammers easily bypass. Our engine uses a dynamic weighted scoring system. It extracts text, analyzes standard language patterns, filters anomalies, and fact-checks content against localized linguistic data. Instead of a simple "yes or no" flag, it combines multiple heuristics to give you a highly accurate, nuanced probability score.
The engine evaluates incoming text through multiple independent lenses (heuristics), such as syntax anomalies, sender reputation, and localized language patterns.
Spam looks different in every language and region. Slang, common idioms, and phrasing vary wildly. Our engine doesn't just translate text; it analyzes it against the specific rules and nuances of the local language context. This drastically reduces false positives caused by regional dialects or informal business language.
The engine cross-references extracted text and claims against verified localized datasets to detect known phishing templates, fraudulent business pitches, and common scam setups. If a piece of text closely mimics a known malicious campaign or contains verifiable misinformation (like a fake lottery claim), its spam score increases accordingly.
Not at all. The text extraction and processing happen in real-time within a secure, encrypted pipeline. We isolate the standard linguistic patterns and words required for scoring, and we do not store the PII (Personally Identifiable Information) or the contents of the processed text post-analysis.
Because our engine extracts normal words and filters them against localized language models, it excels at spotting "leetspeak" (e.g., replacing 'E' with '3') or intentional misspellings meant to trick basic filters. The system recognizes the underlying intent and penalizes the text for obfuscation tactics.
